diff --git a/HANDOFF.md b/HANDOFF.md
index 2301861..554e118 100644
--- a/HANDOFF.md
+++ b/HANDOFF.md
@@ -1,8 +1,123 @@
 # MuTap — Project Handoff
 
-> Context brief for a Claude Code session. Captures decisions and technical direction from prior planning so the next session can start building without re-deriving anything. Can be adapted into a `CLAUDE.md` for persistent project context.
+> Context brief for a Claude Code session. Captures decisions and technical direction so the next session can start working without re-deriving anything. Can be adapted into a `CLAUDE.md` for persistent project context.
 >
-> **Rev 2** — refined against the actual `tap` ecosystem on disk (AmbiTap, AmbiTap-Max, SampleRateTap). Two former open decisions are now settled by sibling-repo convention, the single-repo assumption is corrected to the ecosystem's core/-Max split, and the build milestones are restructured into individually testable stages.
+> **Rev 3** — the plan below has been EXECUTED: M0 through M6 and the v2
+> Kalman upgrade are built, measured, tested and merged. This revision adds
+> the "State of the repo" and "Working notes" sections (start there), marks
+> the milestone list as history, and re-ranks what's next. The algorithm
+> description, portability architecture, Hexagon specifics and paper list
+> remain the reference they always were.
+>
+> **Rev 2** — refined against the actual `tap` ecosystem on disk (AmbiTap, AmbiTap-Max, SampleRateTap). Two former open decisions settled by sibling-repo convention, the single-repo assumption corrected to the ecosystem's core/-Max split, milestones restructured into individually testable stages.
+
+---
+
+## State of the repo (Rev 3)
+
+Everything below exists, is regression-tested, and is green in CI
+(Linux GCC/Clang, macOS, Windows, ASan+UBSan, clang-format/tidy,
+Cortex-M55 under QEMU, Hexagon under QEMU). The README's Status section
+carries the measured numbers; this is the map:
+
+- `include/mutap/` — `fft.h` (Ooura wrapper), `fdaf.h` (partitioned-block
+  NLMS core + the M4 control stack: IPC, IPC-scaled stepping, transient
+  gate, variable regularization), `fd_kalman.h` (**the v2 Kalman core** —
+  no step size, no IPC; per-bin state uncertainty + near-end PSD replace
+  the control stack; opt-in `transient_floor_ratio` trades tonal ASG for
+  burst hardening), `lpc.h` (ridge-guarded Levinson + the two pluggable
+  near-end models: `speech_predictor`, `warped_lpc_predictor`),
+  `pem_afc.h` (the FDAF-PEM-AFROW wrapper, templated over BOTH the
+  predictor and the adaptive core).
+- `tests/` — 88 tests; `tests/support/closed_loop.h` is the closed-loop
+  simulator + MSG/ASG bisection metrics (a deliverable in its own right).
+- `tools/capi/` + `notebooks/afc_demo.ipynb` — the C ABI and the executed
+  demo notebook (7 sections, every figure measured). The notebook is a
+  build product of `tools/notebook/build_afc_demo.py` — edit the script,
+  never the .ipynb.
+- `platform/` + `cmake/arm-cortex-m55-mps3.cmake` — the bare-metal M55
+  rig; `cmake/hexagon-linux-musl.cmake` — the Hexagon cross build.
+- `book/` — "Quieting the Loop" (mdBook, AmbiTap-book conventions): one
+  chapter so far, the user-facing guide to the canceller and every knob.
+- Sibling repo `tap/MuTap-Max` — `mutap.defeed~` with attributes `block`,
+  `mu`, `adapt`, `gate`, `warp`, `kalman`; engine is a
+  `std::variant` over {speech, warped} × {NLMS, Kalman}, xtc~-pattern
+  lock-free rebuild handoff.
+
+## Working notes for the next session (hard-won; read before touching)
+
+1. **Every test threshold is a measured number.** The workflow that built
+   this repo: run the experiment in a scratch harness first, write the
+   measured value into a comment next to the assertion, set the threshold
+   with margin. Keep doing this — reviewers (and CI archaeology) depend
+   on those comments.
+2. **Closed-loop trajectories are chaotic; assert directions, not
+   magnitudes.** Platform libm/FMA differences (AppleClang arm64
+   especially) get amplified arbitrarily by the loop. Three incidents to
+   learn from: the λ=0 warped/plain identity is algebraic but not bitwise
+   (FMA contraction → assert 1e-9, not 4 ulp); a naive-loop blowup peak
+   measured 18k on Linux and 34k on macOS (assert survival/recovery and
+   floored containment, never the chaotic peak); single-seed ASG numbers
+   move by dB between platforms (assert medians across seeds, bisected
+   stability directions, floors with several dB of margin).
+3. **One room is not an evaluation.** The warped predictor's first cut
+   was validated on one simulated room and shipped claims that a
+   five-room sweep demolished (one room in five DESTABILIZED at the old
+   defaults). The fix was structural (IPC pairing / the Kalman core), not
+   tuning. Any new closed-loop claim: sweep rooms from BOTH generator
+   families (the C++ `std::mt19937` rooms in the tests and the notebook's
+   numpy rooms) before writing the number down.
+4. **The emulated-target test selection lives in TWO places that must be
+   kept in sync by hand**: the baked gtest filter in
+   `tests/bare_metal_main.cpp` (Cortex-M55, no argv on target) and the
+   `TEST_FILTER` in `tests/CMakeLists.txt` (Hexagon and any future hosted
+   cross target). Both mirror the same policy: float typed suites,
+   LP/conditioning, validation/contract tests, float closed-loop
+   scenarios; the double-typed adaptive suites stay host-only (the full
+   suite ran once on the Hexagon ISA — 44 min of TCG — and passed; the
+   per-push selection takes ~8).
+5. **Hexagon CI quirks**: the toolchain downloads from Codelinaro's
+   artifactory (the quic/toolchain_for_hexagon GitHub releases carry NO
+   assets — the release notes just link out); the archive's inner
+   directory name varies, so the workflow locates `clang++` and derives
+   the root; `-static` does NOT imply `--eh-frame-hdr` and without it the
+   first `throw` aborts (that cost one CI round to find).
+6. **The submodule dance**: MuTap merges are rebase-merges, so every
+   merge orphans the branch SHAs. After any MuTap PR merges, re-pin
+   `MuTap-Max/submodules/MuTap` to the new main tip before (or as part
+   of) the next MuTap-Max merge — a dangling gitlink breaks recursive
+   clones once branches are cleaned up.
+7. **min-api pin gotcha** (MuTap-Max): the pinned min-api has no scalar
+   `send()` path on queue-backed outlets — send a pre-allocated `atoms`
+   lvalue (see `m_ipc_atoms` in the external).
+8. **The book's honesty rule** (inherited from the AmbiTap book): no
+   number in `book/` that the test suite or notebook doesn't measure, no
+   patch or attribute described that doesn't exist. If a chapter needs a
+   feature, build the feature in the same change.
+
+## What's next (ranked)
+
+1. **In-Max listening.** Everything is code-complete and
+   simulation-verified; nothing has been heard in a real room through a
+   real mic→speaker loop. The help patcher is the checklist (added
+   stable gain by ear, IPC metering, engine/gate/warp A/B). Findings
+   feed 2.
+2. **Decide the default engine.** The Kalman core beats the tuned NLMS
+   stack in every simulated scenario; after real-room listening, decide
+   whether `@kalman` becomes the external's default (and whether the M4
+   knobs get de-emphasized in docs).
+3. **M55 performance work** — CMSIS-DSP/Helium mapping of the FDAF hot
+   path and SampleRateTap-style instruction-count ratchets in CI.
+4. **Hexagon performance work** — needs the proprietary SDK + hardware:
+   VTCM residency, L2 streaming layout, HVX mapping (the specifics
+   section below still holds).
+5. **AEC objects** — the open-loop cousin is nearly free now (the cores
+   already run open-loop; it's an external + docs problem).
+6. **Book chapters** — echo cancellation, and the embedded-targets story.
+7. **RIR fixtures** — infrastructure DONE (`tools/fixtures/
+   make_rir_fixtures.py`, `tests/fixtures/rir_*.h`, `test_rir_fixtures.cpp`):
+   three physically-modeled image-source rooms are committed baselines.
+   Still open (below): adding measured rooms — one command per WAV.
 
 ---
 
@@ -144,9 +259,14 @@ Concrete numbers that pin down the layout decisions (the vector-width question i
 
 ---
 
-## Milestones (restructured: each stage independently testable)
+## Milestones (Rev 3: ALL DONE — kept as the record of how it was staged)
 
-The original "milestone 2 = the whole algorithm" was too big a bite. FDAF-PEM-AFROW decomposes into layers where each layer has a crisp pass/fail experiment; build them in this order and land regression fixtures with each.
+Every stage below landed with its pass criterion met and regression
+fixtures committed; the README's Status section carries the measured
+results. The staging itself proved out — each layer's crisp pass/fail
+experiment caught real issues (M2's naive-bias baseline, the M4 burst
+fixtures, the room sweeps) that a build-it-all-at-once plan would have
+merged blind.
 
 **M0 — Scaffold `tap/MuTap`.** Sibling-repo layout: `include/mutap/`, `tests/`, `bench/`, `examples/`, `notebooks/`, `tools/capi/`, `cmake/`, `docs/`; MIT LICENSE; `STYLE.md` + `.clang-format`/`.clang-tidy` copied from a sibling; CI (`ci.yml`: build matrix, tests, format/tidy gates); README using the framing above. Vendor Ooura, port the real-FFT wrapper.
 
@@ -192,10 +312,10 @@ The original "milestone 2 = the whole algorithm" was too big a bite. FDAF-PEM-AF
 
 ## Open decisions (for Tim)
 
-Resolved since rev 1: ~~license~~ (MIT, by convention), ~~core language~~ (header-only C++20, by convention), ~~milestone ordering~~ (core + closed-loop harness first, Max wrapper at M5 — and the wrapper lives in `tap/MuTap-Max`).
+Resolved since rev 1: ~~license~~ (MIT), ~~core language~~ (header-only C++20), ~~milestone ordering~~ (executed as staged). Resolved since rev 2: ~~first program-material target~~ (moot — both predictors and both engines exist; what remains is the real-room tuning pass, item 1 of "What's next").
 
 Still open:
 
-- **First program-material target for tuning/demos** — speech vs music. The *implementation* order is fixed (speech predictor first, to validate against the literature; music predictor second), but which material the first real-room demo and default tuning target depends on the actual use case (live PA/instruments would pull the M6 music predictor forward, right after M4).
-- **Max external naming** — `mutap.defeed~` is a placeholder; alternatives: `mutap.afc~`, `mutap.howl~`, `mutap.clean~`. Sibling convention is `<repo-lowercase>.<name>~`.
-- **RIR fixtures** — which measured room impulse responses to standardize on for regression tests (e.g. a MYRiAD/openAIR room vs. self-measured), since the fixtures become permanent pass/fail baselines.
+- **Max external naming** — `mutap.defeed~` is a placeholder; alternatives: `mutap.afc~`, `mutap.howl~`, `mutap.clean~`. Sibling convention is `<repo-lowercase>.<name>~`. Worth settling before anything links to the object name publicly (the book chapter and maxref would need a coordinated rename).
+- **Default engine in the external** — `@kalman` off (classic NLMS) is the shipping default purely on seniority; the measured case for flipping it is in `tests/test_fd_kalman.cpp` and book chapter 1. Decide after real-room listening.
+- **RIR fixtures, the measured half** — the fixture pipeline is built and three physically-modeled rooms (image-source, documented geometry) are committed baselines with regression tests. What remains yours: which MEASURED rooms join them — an academic dataset room (MYRiAD is the PEM-AFROW group's own database; openAIR is the other usual source; check each room's license allows redistribution in an MIT repo) and/or your own swept-sine measurements. Either way it is one command per room: `python3 tools/fixtures/make_rir_fixtures.py --from-wav room.wav myroom --source "<provenance + license>"`, then a test with a freshly measured threshold. (The dataset hosts are unreachable from the remote dev container's network policy, so the WAVs have to enter via a commit.)
diff --git a/README.md b/README.md
index b3e7cdf..712ee61 100644
--- a/README.md
+++ b/README.md
@@ -158,6 +158,14 @@ algorithmically complete. What exists today:
   wrecked); the opt-in transient floor contains it to gated-NLMS quality
   at a measured ~2–6 dB tonal-ASG cost, which is why it defaults off
   ([`tests/test_fd_kalman.cpp`](tests/test_fd_kalman.cpp)).
+- **RIR fixtures** — three physically-modeled rooms (image-source method,
+  documented geometry, deterministic; [`tools/fixtures/`](tools/fixtures/))
+  committed as permanent closed-loop baselines with real early-reflection
+  structure. Measured on them (block 64, 16 partitions, speech-envelope
+  material): **Kalman +17.8…+19.1 dB ASG vs the classic stack's
+  +9.4…+9.7** ([`tests/test_rir_fixtures.cpp`](tests/test_rir_fixtures.cpp)).
+  Measured rooms (academic datasets or your own sweeps) join with one
+  command: `make_rir_fixtures.py --from-wav`.
 
 Next up: the `mutap.defeed~` Max attribute for the Kalman core, and the
 Hexagon data-layout work on real hardware (VTCM residency, FastRPC
@@ -211,6 +219,7 @@ notebooks/           demo notebook (ctypes over the C ABI)
 book/                "Quieting the Loop" (mdBook) — the user-facing field guide
 platform/            Cortex-M55 bare-metal board support (startup, linker)
 cmake/               cross toolchain files (Cortex-M55 MPS3, Hexagon musl)
+tests/fixtures/      RIR fixtures (committed rooms; tools/fixtures regenerates)
 ```
 
 Planned as the milestones land: `examples/`, `bench/`, `docs/`.
diff --git a/notebooks/afc_demo.ipynb b/notebooks/afc_demo.ipynb
index 1393850..e014a75 100644
--- a/notebooks/afc_demo.ipynb
+++ b/notebooks/afc_demo.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "b36dc7b3",
+   "id": "bda5df7e",
    "metadata": {},
    "source": [
     "# MuTap — adaptive feedback cancellation, demonstrated\n",
@@ -34,13 +34,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "2dc54035",
+   "id": "49b7bb2a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:01.954031Z",
-     "iopub.status.busy": "2026-07-15T14:58:01.953777Z",
-     "iopub.status.idle": "2026-07-15T14:58:02.356333Z",
-     "shell.execute_reply": "2026-07-15T14:58:02.354791Z"
+     "iopub.execute_input": "2026-07-15T17:52:03.970680Z",
+     "iopub.status.busy": "2026-07-15T17:52:03.970420Z",
+     "iopub.status.idle": "2026-07-15T17:52:08.853801Z",
+     "shell.execute_reply": "2026-07-15T17:52:08.851888Z"
     }
    },
    "outputs": [
@@ -165,7 +165,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "366caa7b",
+   "id": "146d8f70",
    "metadata": {},
    "source": [
     "## The closed loop\n",
@@ -189,13 +189,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "c33aaaf3",
+   "id": "29168f76",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:02.359135Z",
-     "iopub.status.busy": "2026-07-15T14:58:02.358787Z",
-     "iopub.status.idle": "2026-07-15T14:58:02.504181Z",
-     "shell.execute_reply": "2026-07-15T14:58:02.502735Z"
+     "iopub.execute_input": "2026-07-15T17:52:08.856668Z",
+     "iopub.status.busy": "2026-07-15T17:52:08.856282Z",
+     "iopub.status.idle": "2026-07-15T17:52:09.478412Z",
+     "shell.execute_reply": "2026-07-15T17:52:09.476958Z"
     }
    },
    "outputs": [
@@ -310,7 +310,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3ab0b2a3",
+   "id": "26a2565d",
    "metadata": {},
    "source": [
     "## 1. Howling\n",
@@ -326,13 +326,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "974b91cc",
+   "id": "21c71481",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:02.506624Z",
-     "iopub.status.busy": "2026-07-15T14:58:02.506315Z",
-     "iopub.status.idle": "2026-07-15T14:58:03.159382Z",
-     "shell.execute_reply": "2026-07-15T14:58:03.158151Z"
+     "iopub.execute_input": "2026-07-15T17:52:09.482709Z",
+     "iopub.status.busy": "2026-07-15T17:52:09.482153Z",
+     "iopub.status.idle": "2026-07-15T17:52:10.685992Z",
+     "shell.execute_reply": "2026-07-15T17:52:10.684735Z"
     }
    },
    "outputs": [
@@ -387,7 +387,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5fd525bd",
+   "id": "7200ea80",
    "metadata": {},
    "source": [
     "## 2. The bias problem — a gain staircase\n",
@@ -414,13 +414,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "cd96471a",
+   "id": "8695b31d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:03.161857Z",
-     "iopub.status.busy": "2026-07-15T14:58:03.161614Z",
-     "iopub.status.idle": "2026-07-15T14:58:05.251819Z",
-     "shell.execute_reply": "2026-07-15T14:58:05.250601Z"
+     "iopub.execute_input": "2026-07-15T17:52:10.689505Z",
+     "iopub.status.busy": "2026-07-15T17:52:10.689189Z",
+     "iopub.status.idle": "2026-07-15T17:52:13.518474Z",
+     "shell.execute_reply": "2026-07-15T17:52:13.516919Z"
     }
    },
    "outputs": [
@@ -482,7 +482,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4166d309",
+   "id": "2852aab2",
    "metadata": {},
    "source": [
     "## 3. Added stable gain — the scoreboard\n",
@@ -500,13 +500,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "01283800",
+   "id": "05a269a0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:05.253893Z",
-     "iopub.status.busy": "2026-07-15T14:58:05.253697Z",
-     "iopub.status.idle": "2026-07-15T14:58:16.100504Z",
-     "shell.execute_reply": "2026-07-15T14:58:16.099406Z"
+     "iopub.execute_input": "2026-07-15T17:52:13.522737Z",
+     "iopub.status.busy": "2026-07-15T17:52:13.522356Z",
+     "iopub.status.idle": "2026-07-15T17:52:28.159809Z",
+     "shell.execute_reply": "2026-07-15T17:52:28.158574Z"
     }
    },
    "outputs": [
@@ -555,7 +555,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a1e61324",
+   "id": "f0038aca",
    "metadata": {},
    "source": [
     "## 4. Music — the frequency-warped predictor, across rooms\n",
@@ -594,13 +594,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "1eafa631",
+   "id": "c570be41",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:16.103113Z",
-     "iopub.status.busy": "2026-07-15T14:58:16.102837Z",
-     "iopub.status.idle": "2026-07-15T14:58:30.322133Z",
-     "shell.execute_reply": "2026-07-15T14:58:30.320852Z"
+     "iopub.execute_input": "2026-07-15T17:52:28.163145Z",
+     "iopub.status.busy": "2026-07-15T17:52:28.162606Z",
+     "iopub.status.idle": "2026-07-15T17:52:47.427909Z",
+     "shell.execute_reply": "2026-07-15T17:52:47.426543Z"
     }
    },
    "outputs": [
@@ -667,7 +667,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6f0edb93",
+   "id": "34897996",
    "metadata": {},
    "source": [
     "And the control in the other direction: the same warped + IPC\n",
@@ -679,13 +679,13 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "c9eb4273",
+   "id": "da75e84b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:30.324366Z",
-     "iopub.status.busy": "2026-07-15T14:58:30.324175Z",
-     "iopub.status.idle": "2026-07-15T14:58:31.247296Z",
-     "shell.execute_reply": "2026-07-15T14:58:31.246057Z"
+     "iopub.execute_input": "2026-07-15T17:52:47.430621Z",
+     "iopub.status.busy": "2026-07-15T17:52:47.430328Z",
+     "iopub.status.idle": "2026-07-15T17:52:48.778674Z",
+     "shell.execute_reply": "2026-07-15T17:52:48.777327Z"
     }
    },
    "outputs": [
@@ -709,7 +709,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "90e20d75",
+   "id": "10c10e30",
    "metadata": {},
    "source": [
     "## 5. IPC — knowing when to adapt\n",
@@ -729,13 +729,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "554da3ee",
+   "id": "926d4a6b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:31.249366Z",
-     "iopub.status.busy": "2026-07-15T14:58:31.249164Z",
-     "iopub.status.idle": "2026-07-15T14:58:31.802617Z",
-     "shell.execute_reply": "2026-07-15T14:58:31.801498Z"
+     "iopub.execute_input": "2026-07-15T17:52:48.781404Z",
+     "iopub.status.busy": "2026-07-15T17:52:48.781115Z",
+     "iopub.status.idle": "2026-07-15T17:52:49.521928Z",
+     "shell.execute_reply": "2026-07-15T17:52:49.520659Z"
     }
    },
    "outputs": [
@@ -793,7 +793,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3d27ccfe",
+   "id": "f5f4f174",
    "metadata": {},
    "source": [
     "## 6. Surviving bursts\n",
@@ -809,13 +809,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "94c2d6bc",
+   "id": "0cb4a898",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:31.804654Z",
-     "iopub.status.busy": "2026-07-15T14:58:31.804439Z",
-     "iopub.status.idle": "2026-07-15T14:58:33.933821Z",
-     "shell.execute_reply": "2026-07-15T14:58:33.932612Z"
+     "iopub.execute_input": "2026-07-15T17:52:49.524156Z",
+     "iopub.status.busy": "2026-07-15T17:52:49.523911Z",
+     "iopub.status.idle": "2026-07-15T17:52:52.246953Z",
+     "shell.execute_reply": "2026-07-15T17:52:52.245201Z"
     }
    },
    "outputs": [
@@ -869,7 +869,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3b41cb00",
+   "id": "7505e6ed",
    "metadata": {},
    "source": [
     "## 7. The v2 core — a frequency-domain Kalman filter\n",
@@ -900,13 +900,13 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "a32ba938",
+   "id": "d8537c6a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:33.936922Z",
-     "iopub.status.busy": "2026-07-15T14:58:33.936680Z",
-     "iopub.status.idle": "2026-07-15T14:58:46.834385Z",
-     "shell.execute_reply": "2026-07-15T14:58:46.833176Z"
+     "iopub.execute_input": "2026-07-15T17:52:52.249591Z",
+     "iopub.status.busy": "2026-07-15T17:52:52.249329Z",
+     "iopub.status.idle": "2026-07-15T17:53:09.107495Z",
+     "shell.execute_reply": "2026-07-15T17:53:09.106370Z"
     }
    },
    "outputs": [
@@ -951,7 +951,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8903e3b9",
+   "id": "c49c88f6",
    "metadata": {},
    "source": [
     "And the section-6 burst, revisited. Ungated, the Kalman bounds the\n",
@@ -967,13 +967,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "dc234d36",
+   "id": "d0407487",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-15T14:58:46.836376Z",
-     "iopub.status.busy": "2026-07-15T14:58:46.836180Z",
-     "iopub.status.idle": "2026-07-15T14:58:48.933259Z",
-     "shell.execute_reply": "2026-07-15T14:58:48.931942Z"
+     "iopub.execute_input": "2026-07-15T17:53:09.110166Z",
+     "iopub.status.busy": "2026-07-15T17:53:09.109947Z",
+     "iopub.status.idle": "2026-07-15T17:53:11.743395Z",
+     "shell.execute_reply": "2026-07-15T17:53:11.741916Z"
     }
    },
    "outputs": [
@@ -1026,7 +1026,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6b5bc8a5",
+   "id": "59ee0134",
    "metadata": {},
    "source": [
     "## Where this goes next\n",
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index e5df8e0..92a9164 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -35,7 +35,8 @@ add_executable(mutap_tests
     test_lpc.cpp
     test_pem_afc.cpp
     test_adaptation_control.cpp
-    test_closed_loop.cpp)
+    test_closed_loop.cpp
+    test_rir_fixtures.cpp)
 target_link_libraries(mutap_tests PRIVATE
     MuTap::MuTap
     mutap_warnings)
diff --git a/tests/fixtures/rir_hall.h b/tests/fixtures/rir_hall.h
new file mode 100644
index 0000000..028fb07
--- /dev/null
+++ b/tests/fixtures/rir_hall.h
@@ -0,0 +1,1047 @@
+// GENERATED by tools/fixtures/make_rir_fixtures.py — do not edit by hand.
+// SPDX-License-Identifier: MIT
+// Copyright 2026 MuTap contributors
+//
+// Physically-modeled room: reverberant hall, mic 5.6 m out — the PA scenario.
+// pyroomacoustics image-source method, shoebox [15.0, 10.0, 6.0] m,
+// uniform absorption 0.12, max_order 17,
+// speaker at [4.0, 5.0, 2.0], mic at [9.5, 4.2, 1.6], fs 48000 Hz.
+// Deterministic: rebuilding with the same parameters reproduces
+// this data exactly. Conditioning (delay trim to a 32-sample
+// guard, truncation to 4096 taps, unit-energy normalization)
+// is documented in the generator script.
+#pragma once
+
+namespace mutap_test::fixtures {
+
+    inline constexpr unsigned k_rir_hall_fs   = 48000;
+    inline constexpr unsigned k_rir_hall_taps = 4096;
+
+    inline constexpr float k_rir_hall[4096] = {
+        -7.52013287e-04f, -7.52964295e-04f, -7.53915775e-04f, -7.54867725e-04f,
+        -7.55820144e-04f, -7.56773031e-04f, -7.57726386e-04f, -7.58680208e-04f,
+        -7.62217345e-04f, -7.50008651e-04f, -7.85916629e-04f, -7.18157153e-04f,
+        -8.34344583e-04f, -6.60000472e-04f, -9.10705416e-04f, -5.72234861e-04f,
+        -1.01842376e-03f, -4.51286127e-04f, -1.16126542e-03f, -2.93149615e-04f,
+        -1.34353020e-03f, -9.31576143e-05f, -1.57035078e-03f, 1.54388991e-04f,
+        -1.84812562e-03f, 4.56784837e-04f, -2.18526924e-03f, 8.23840031e-04f,
+        -2.59335835e-03f, 1.26938280e-03f, -3.08908497e-03f, 1.81380681e-03f,
+        -3.69775483e-03f, 2.48910079e-03f, -4.46013585e-03f, 3.34735187e-03f,
+        -5.44422628e-03f, 4.47987048e-03f, -6.77528033e-03f, 6.06274066e-03f,
+        -8.70888002e-03f, 8.48171596e-03f, -1.18564677e-02f, 1.27702086e-02f,
+        -1.81249361e-02f, 2.29320367e-02f, -3.79588263e-02f, 8.36274712e-02f,
+        3.17461227e-01f, -5.54756876e-02f, 2.89070193e-02f, -2.10336771e-02f,
+        1.44103230e-02f, -1.28860320e-02f, 9.12786775e-03f, -9.15818433e-03f,
+        6.33282059e-03f, -6.97810814e-03f, 4.57090213e-03f, -5.52486492e-03f,
+        3.34189941e-03f, -4.47574421e-03f, 2.42810646e-03f, -3.67853077e-03f,
+        1.71990774e-03f, -3.05212011e-03f, 1.15603651e-03f, -2.54979501e-03f,
+        7.00254112e-04f, -2.14263368e-03f, 3.29158471e-04f, -1.81155801e-03f,
+        2.69974950e-05f, -1.54342586e-03f, -2.17340361e-04f, -1.32870823e-03f,
+        -4.12099033e-04f, -1.16018829e-03f, -5.63687251e-04f, -1.03211163e-03f,
+        -6.77329709e-04f, -9.39679276e-04f, -7.57483928e-04f, -8.78715438e-04f,
+        -8.08092836e-04f, -8.45462091e-04f, -8.32764710e-04f, -8.36436759e-04f,
+        -8.37426436e-04f, -8.38416549e-04f, -8.39407098e-04f, -8.40398085e-04f,
+        -8.41389508e-04f, -8.42381367e-04f, -8.43373664e-04f, -8.44366397e-04f,
+        -8.45359567e-04f, -8.46353174e-04f, -8.47347218e-04f, -8.48341699e-04f,
+        -8.49336616e-04f, -8.50331971e-04f, -8.51327762e-04f, -8.52323990e-04f,
+        -8.53320656e-04f, -8.54317758e-04f, -8.55315297e-04f, -8.56313274e-04f,
+        -8.57311687e-04f, -8.58310537e-04f, -8.59309824e-04f, -8.60309548e-04f,
+        -8.61309709e-04f, -8.62310307e-04f, -8.63311342e-04f, -8.64312814e-04f,
+        -8.65314723e-04f, -8.66317068e-04f, -8.67319851e-04f, -8.68323070e-04f,
+        -8.69326726e-04f, -8.70330818e-04f, -8.71335347e-04f, -8.72340313e-04f,
+        -8.73345716e-04f, -8.74351555e-04f, -8.75357831e-04f, -8.76364543e-04f,
+        -8.77371691e-04f, -8.78379276e-04f, -8.79387297e-04f, -8.80395755e-04f,
+        -8.81404648e-04f, -8.82413978e-04f, -8.83423744e-04f, -8.84433946e-04f,
+        -8.85444583e-04f, -8.86455657e-04f, -8.87467166e-04f, -8.88479111e-04f,
+        -8.89491492e-04f, -8.90504308e-04f, -8.91517559e-04f, -8.92531246e-04f,
+        -8.93545368e-04f, -8.94559925e-04f, -8.95574917e-04f, -8.96590344e-04f,
+        -8.97606206e-04f, -8.98622503e-04f, -8.99639234e-04f, -9.00656400e-04f,
+        -9.01674000e-04f, -9.02692035e-04f, -9.03710503e-04f, -9.07523069e-04f,
+        -8.94303386e-04f, -9.33135285e-04f, -8.59811474e-04f, -9.85515850e-04f,
+        -7.96834949e-04f, -1.06815311e-03f, -7.01776023e-04f, -1.18478099e-03f,
+        -5.70729946e-04f, -1.33951474e-03f, -3.99320822e-04f, -1.53705914e-03f,
+        -1.82434143e-04f, -1.78303574e-03f, 8.61832713e-05f, -2.08448956e-03f,
+        4.14554480e-04f, -2.45066758e-03f, 8.13485270e-04f, -2.89432923e-03f,
+        1.29822227e-03f, -3.43392374e-03f, 1.89132455e-03f, -4.09743074e-03f,
+        2.62807304e-03f, -4.92977605e-03f, 3.56625077e-03f, -6.00682703e-03f,
+        4.80778889e-03f, -7.46858051e-03f, 6.55012630e-03f, -9.60267778e-03f,
+        9.22934667e-03f, -1.31045071e-02f, 1.40301847e-02f, -2.01847992e-02f,
+        2.56763428e-02f, -4.35732456e-02f, 1.04290099e-01f, 2.27262026e-01f,
+        -5.52408416e-02f, 2.96601862e-02f, -2.20948629e-02f, 1.50700397e-02f,
+        -1.37353093e-02f, 9.58985856e-03f, -9.83985776e-03f, 6.65393752e-03f,
+        -7.54102772e-03f, 4.79037335e-03f, -6.00023101e-03f, 3.48471283e-03f,
+        -4.88383059e-03f, 2.51096602e-03f, -4.03329505e-03f, 1.75462942e-03f,
+        -3.36379221e-03f, 1.15158870e-03f, -2.82616635e-03f, 6.63481939e-04f,
+        -2.38985331e-03f, 2.65633282e-04f, -2.03471799e-03f, -5.85948235e-05f,
+        -1.74685353e-03f, -3.20969462e-04f, -1.51617807e-03f, -5.30231438e-04f,
+        -1.33502359e-03f, -6.93190844e-04f, -1.19726740e-03f, -8.15411008e-04f,
+        -1.09779777e-03f, -9.01642944e-04f, -1.03215898e-03f, -9.56100329e-04f,
+        -9.96331872e-04f, -9.82644304e-04f, -9.86587144e-04f, -9.87640763e-04f,
+        -9.88694828e-04f, -9.89749341e-04f, -9.90804302e-04f, -9.91859711e-04f,
+        -9.92915569e-04f, -9.93971877e-04f, -9.95028634e-04f, -9.96085841e-04f,
+        -9.97143499e-04f, -9.98201607e-04f, -9.99260167e-04f, -1.00031918e-03f,
+        -1.00137864e-03f, -1.00243856e-03f, -1.00349893e-03f, -1.00455975e-03f,
+        -1.00562103e-03f, -1.00668276e-03f, -1.00774495e-03f, -1.00880759e-03f,
+        -1.00987068e-03f, -1.01093424e-03f, -1.01199824e-03f, -1.01306271e-03f,
+        -1.01412763e-03f, -1.01519301e-03f, -1.01625885e-03f, -1.01732514e-03f,
+        -1.01839190e-03f, -1.01945911e-03f, -1.02052678e-03f, -1.02159491e-03f,
+        -1.02266350e-03f, -1.02373255e-03f, -1.02480206e-03f, -1.02587203e-03f,
+        -1.02694247e-03f, -1.02801336e-03f, -1.02908472e-03f, -1.03015654e-03f,
+        -1.03122882e-03f, -1.03230156e-03f, -1.03337477e-03f, -1.03444844e-03f,
+        -1.03552258e-03f, -1.03659718e-03f, -1.03767224e-03f, -1.03874777e-03f,
+        -1.03982376e-03f, -1.04090022e-03f, -1.04197714e-03f, -1.04305453e-03f,
+        -1.04413239e-03f, -1.04521071e-03f, -1.04628950e-03f, -1.04736876e-03f,
+        -1.04844849e-03f, -1.04952868e-03f, -1.05060934e-03f, -1.05169047e-03f,
+        -1.05277207e-03f, -1.05385413e-03f, -1.05493667e-03f, -1.05601967e-03f,
+        -1.05710314e-03f, -1.05818709e-03f, -1.05927150e-03f, -1.06035638e-03f,
+        -1.06144174e-03f, -1.06252756e-03f, -1.06361386e-03f, -1.06470063e-03f,
+        -1.06578787e-03f, -1.06687558e-03f, -1.06796376e-03f, -1.06905241e-03f,
+        -1.07014154e-03f, -1.07123114e-03f, -1.07232121e-03f, -1.07341176e-03f,
+        -1.07450278e-03f, -1.07559427e-03f, -1.07668623e-03f, -1.07777867e-03f,
+        -1.07887159e-03f, -1.07996497e-03f, -1.08105884e-03f, -1.08215317e-03f,
+        -1.08324798e-03f, -1.08434327e-03f, -1.08543903e-03f, -1.08653527e-03f,
+        -1.08763198e-03f, -1.08872917e-03f, -1.08982683e-03f, -1.09092497e-03f,
+        -1.09202358e-03f, -1.09312268e-03f, -1.09422224e-03f, -1.09532229e-03f,
+        -1.09642281e-03f, -1.09752381e-03f, -1.09862528e-03f, -1.09972723e-03f,
+        -1.10082966e-03f, -1.10193257e-03f, -1.10303595e-03f, -1.10413981e-03f,
+        -1.10524415e-03f, -1.10634897e-03f, -1.10745426e-03f, -1.10856003e-03f,
+        -1.10966629e-03f, -1.11077301e-03f, -1.11188022e-03f, -1.11298791e-03f,
+        -1.11409607e-03f, -1.11520471e-03f, -1.11631383e-03f, -1.11742343e-03f,
+        -1.11853351e-03f, -1.11964407e-03f, -1.12075511e-03f, -1.12186662e-03f,
+        -1.12297862e-03f, -1.12409109e-03f, -1.12520404e-03f, -1.12631748e-03f,
+        -1.12743139e-03f, -1.12854578e-03f, -1.12966065e-03f, -1.13077600e-03f,
+        -1.13189183e-03f, -1.13300814e-03f, -1.13412493e-03f, -1.13524219e-03f,
+        -1.13635994e-03f, -1.13747817e-03f, -1.13859688e-03f, -1.13971606e-03f,
+        -1.14083573e-03f, -1.14195587e-03f, -1.14307650e-03f, -1.14419760e-03f,
+        -1.14531919e-03f, -1.14644125e-03f, -1.14756380e-03f, -1.14868682e-03f,
+        -1.14981032e-03f, -1.15093431e-03f, -1.15205877e-03f, -1.15318371e-03f,
+        -1.15430913e-03f, -1.15543503e-03f, -1.15656141e-03f, -1.15768827e-03f,
+        -1.15881561e-03f, -1.15994343e-03f, -1.16107173e-03f, -1.16220051e-03f,
+        -1.16332976e-03f, -1.16445950e-03f, -1.16558971e-03f, -1.16672041e-03f,
+        -1.16785158e-03f, -1.16898323e-03f, -1.17011536e-03f, -1.17124797e-03f,
+        -1.17238106e-03f, -1.17351462e-03f, -1.17464867e-03f, -1.17578319e-03f,
+        -1.17691819e-03f, -1.17805367e-03f, -1.17918962e-03f, -1.18032606e-03f,
+        -1.18146297e-03f, -1.18260036e-03f, -1.18373823e-03f, -1.18487657e-03f,
+        -1.18601540e-03f, -1.18715470e-03f, -1.18829447e-03f, -1.18943473e-03f,
+        -1.19057546e-03f, -1.19171666e-03f, -1.19285835e-03f, -1.19400051e-03f,
+        -1.19514314e-03f, -1.19628625e-03f, -1.19742984e-03f, -1.19857391e-03f,
+        -1.19971845e-03f, -1.20086346e-03f, -1.20200895e-03f, -1.20315491e-03f,
+        -1.20430135e-03f, -1.20544827e-03f, -1.20659566e-03f, -1.20774352e-03f,
+        -1.20889186e-03f, -1.21004067e-03f, -1.21118995e-03f, -1.21233971e-03f,
+        -1.21348994e-03f, -1.21464064e-03f, -1.21579182e-03f, -1.21694347e-03f,
+        -1.21809559e-03f, -1.21924819e-03f, -1.22040125e-03f, -1.22155479e-03f,
+        -1.22270880e-03f, -1.22386328e-03f, -1.22501823e-03f, -1.22617365e-03f,
+        -1.22732954e-03f, -1.22848591e-03f, -1.22964274e-03f, -1.23080004e-03f,
+        -1.23195781e-03f, -1.23311605e-03f, -1.23427476e-03f, -1.23543394e-03f,
+        -1.23659359e-03f, -1.23775370e-03f, -1.23891428e-03f, -1.24007533e-03f,
+        -1.24123685e-03f, -1.24239883e-03f, -1.24356128e-03f, -1.24472420e-03f,
+        -1.24588758e-03f, -1.24705143e-03f, -1.24821574e-03f, -1.24938052e-03f,
+        -1.25054576e-03f, -1.25171147e-03f, -1.25287764e-03f, -1.25404427e-03f,
+        -1.25521137e-03f, -1.25637893e-03f, -1.25754695e-03f, -1.25871544e-03f,
+        -1.25988438e-03f, -1.26105379e-03f, -1.26222366e-03f, -1.26339399e-03f,
+        -1.26456479e-03f, -1.26573604e-03f, -1.26690775e-03f, -1.26807992e-03f,
+        -1.26925255e-03f, -1.27042563e-03f, -1.27159918e-03f, -1.27277318e-03f,
+        -1.27394764e-03f, -1.27512256e-03f, -1.27629794e-03f, -1.27747377e-03f,
+        -1.27865005e-03f, -1.27982679e-03f, -1.28100399e-03f, -1.28218164e-03f,
+        -1.28335975e-03f, -1.28453830e-03f, -1.28571732e-03f, -1.28689678e-03f,
+        -1.28807670e-03f, -1.28925706e-03f, -1.29043788e-03f, -1.29161915e-03f,
+        -1.29280087e-03f, -1.29398304e-03f, -1.29516566e-03f, -1.29634873e-03f,
+        -1.29753225e-03f, -1.29871622e-03f, -1.29990063e-03f, -1.30108549e-03f,
+        -1.30227080e-03f, -1.30345655e-03f, -1.30464275e-03f, -1.30582940e-03f,
+        -1.30701648e-03f, -1.30820402e-03f, -1.30939199e-03f, -1.31058041e-03f,
+        -1.31176927e-03f, -1.31295858e-03f, -1.31414832e-03f, -1.31533851e-03f,
+        -1.31652914e-03f, -1.31772020e-03f, -1.31891171e-03f, -1.32010365e-03f,
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+        -4.01035012e-04f, -6.98597925e-03f, -2.39785985e-03f, -5.86094724e-03f,
+        -3.11936079e-03f, -5.36399359e-03f, -3.48231715e-03f, -5.09200313e-03f,
+        -3.69404932e-03f, -4.92802971e-03f, -3.82460545e-03f, -4.82753961e-03f,
+        -3.90373757e-03f, -4.77005918e-03f, -3.94640733e-03f, -4.74311119e-03f,
+        -3.96315369e-03f, -4.73955391e-03f, -3.95780181e-03f, -4.75734799e-03f,
+        -3.93137414e-03f, -4.79638246e-03f, -3.88310821e-03f, -4.85831989e-03f,
+        -3.81034253e-03f, -4.94698422e-03f, -3.70782703e-03f, -5.06949805e-03f,
+        -3.56591823e-03f, -5.23894110e-03f, -3.36692523e-03f, -5.47943350e-03f,
+        -3.07621558e-03f, -5.84407583e-03f, -2.60939731e-03f, -6.47038968e-03f,
+        -1.72854628e-03f, -7.81781228e-03f, 6.12773063e-04f, -1.30948270e-02f,
+        3.03916990e-02f, 1.33077800e-02f, -1.13621273e-02f, -2.81885828e-05f,
+        -7.48198847e-03f, -1.94813079e-03f, -6.32367959e-03f, -2.73030046e-03f,
+        -5.76055465e-03f, -3.15902594e-03f, -5.42383476e-03f, -3.43516322e-03f,
+        -5.19505044e-03f, -3.63205416e-03f, -5.02539110e-03f, -3.78428509e-03f,
+        -4.89015123e-03f, -3.90954400e-03f, -4.77637797e-03f, -4.01723892e-03f,
+        -4.67722678e-03f, -4.11286168e-03f, -4.58797650e-03f, -4.20032682e-03f,
+        -4.50549798e-03f, -4.28209509e-03f, -4.42793588e-03f, -4.35942818e-03f,
+        -4.35466758e-03f, -4.43219741e-03f, -4.28724043e-03f, -4.49612142e-03f,
+        -4.23287142e-03f, -4.54196578e-03f, -4.20376604e-03f, -4.55104801e-03f,
+        -4.23031280e-03f, -4.47238476e-03f, -4.40191899e-03f, -4.13894312e-03f,
+        -5.05980174e-03f, -2.75305536e-03f, -8.58367438e-03f, 1.33621126e-02f,
+        2.86790294e-02f, -1.98042493e-02f, 1.02080484e-02f, -2.33691701e-02f,
+        3.83737699e-02f, 5.48636068e-02f, -1.82719639e-02f, 1.21989617e-03f,
+        -2.69422705e-03f, 4.06912905e-02f, -1.51147062e-02f, 3.47841747e-03f,
+        -1.17151693e-02f, 4.94242509e-03f, 2.76709406e-02f, -5.10922883e-03f,
+        -5.33298468e-03f, -2.89588397e-03f, -6.19561107e-03f, -2.32867191e-03f,
+        -6.75547740e-03f, -1.61435422e-03f, -7.83193307e-03f, 2.42218339e-04f,
+        -1.17795954e-02f, 1.47384354e-02f, 2.86710985e-02f, -1.35906562e-02f,
+        1.20347286e-03f, -8.64713247e-03f, -7.57957248e-04f, -7.80665316e-03f,
+        -9.33397801e-04f, -8.25739168e-03f, 4.57634806e-04f, -1.19632686e-02f,
+        1.74396160e-02f, 2.06908237e-02f, -1.38005245e-02f, 3.09959482e-03f,
+        -1.35328359e-02f, 1.85078463e-02f, 2.30237564e-02f, -1.47384663e-02f,
+        5.51080852e-03f, 2.98688689e-02f, -5.31031221e-03f, -4.96520649e-03f,
+        -3.71577524e-03f, -3.36020783e-03f, 4.46449823e-02f, -1.81080698e-02f,
+        2.87270904e-02f, 1.18589656e-02f, -8.78931089e-03f, -2.87867589e-03f,
+        -4.49794360e-03f, -5.37486810e-03f, -2.44259052e-03f, -7.59382854e-03f,
+        6.49184355e-04f, -1.36276187e-02f, 2.91617203e-02f, 1.74646701e-02f,
+        -1.34198036e-02f, 6.37358261e-03f, 5.07954030e-02f, 1.66968345e-02f,
+        -9.55519195e-03f, -1.99347423e-03f, -5.51500126e-03f, -4.30097705e-03f,
+        -3.58601751e-03f, -6.39086803e-03f, -7.18187314e-04f, -1.17466417e-02f,
+        1.97358012e-02f, 2.36251920e-02f, -1.40102289e-02f, 1.49268679e-03f,
+        -8.70770519e-03f, -1.08381409e-03f, -7.12253781e-03f, -2.19826561e-03f,
+        -6.26458373e-03f, -2.92577428e-03f, -5.56642744e-03f, -3.77768167e-03f,
+        -3.83865327e-03f, 3.80494651e-02f, -8.17459836e-03f, -1.47145201e-03f,
+        -7.54810073e-03f, 3.14566553e-04f, 3.00618970e-02f, -6.39183508e-03f,
+        -3.78793154e-03f, -4.63020598e-03f, -4.44821363e-03f, -4.28027839e-03f,
+        -4.67438853e-03f, -4.12673252e-03f, -4.73051584e-03f, 3.21097714e-02f,
+        -5.28687514e-03f, -3.55349317e-03f, -5.40995798e-03f, -3.33359207e-03f,
+        -5.68741345e-03f, -3.00584545e-03f, -6.07718878e-03f, -2.54239194e-03f,
+        -6.64436049e-03f, -1.83005204e-03f, -7.59207003e-03f, -4.59717550e-04f,
+        -9.93922302e-03f, 5.68060485e-03f, 2.90934303e-02f, -6.53856497e-03f,
+        -5.65287242e-03f, -9.46223078e-04f, -1.13186293e-02f, 1.50891870e-02f,
+        2.09539326e-02f, -1.09546032e-02f, -1.59824745e-03f, -5.42318751e-03f,
+        -4.88390808e-03f, -2.53816867e-03f, -8.51864187e-03f, 5.64611413e-03f,
+        2.97331850e-02f, -8.74444606e-03f, -4.00488218e-03f, -2.16356876e-03f,
+        -1.07892883e-02f, 1.78778122e-02f, 2.08130007e-02f, -1.12264374e-02f,
+        -3.63483758e-03f, 7.33583800e-03f, 3.11117739e-02f, -1.87155551e-02f,
+        7.19984773e-03f, -1.72907874e-02f, 2.14904478e-02f, 1.56901976e-02f,
+        -8.93072141e-03f, -2.68277448e-03f, -5.22354074e-03f, -4.16805348e-03f,
+        -4.48426421e-03f, -4.58629619e-03f, -4.22683425e-03f, -4.76355934e-03f,
+        -4.09294348e-03f, -4.88141694e-03f, -3.98087389e-03f, -5.00060325e-03f,
+        -3.85257075e-03f, -5.14628052e-03f, -3.68948982e-03f, -5.33490088e-03f,
+        -3.47521541e-03f, -5.58323576e-03f, -3.19047323e-03f, -5.91763634e-03f,
+        -2.79719058e-03f, -6.39206249e-03f, -2.21836898e-03f, -7.12318353e-03f,
+        -1.26240054e-03f, -8.45692792e-03f, 7.87811024e-04f, -1.22708728e-02f,
+        1.25757062e-02f, 2.45257472e-02f, -8.37664418e-03f, -5.79274713e-03f,
+        5.01174575e-03f, 3.06834805e-02f, -1.21869425e-02f, -2.71123438e-04f,
+    };
+
+} // namespace mutap_test::fixtures
diff --git a/tests/fixtures/rir_rehearsal.h b/tests/fixtures/rir_rehearsal.h
new file mode 100644
index 0000000..73474a0
--- /dev/null
+++ b/tests/fixtures/rir_rehearsal.h
@@ -0,0 +1,1047 @@
+// GENERATED by tools/fixtures/make_rir_fixtures.py — do not edit by hand.
+// SPDX-License-Identifier: MIT
+// Copyright 2026 MuTap contributors
+//
+// Physically-modeled room: mid-size rehearsal room, mic 3.2 m from the speaker.
+// pyroomacoustics image-source method, shoebox [8.0, 6.0, 3.5] m,
+// uniform absorption 0.2, max_order 17,
+// speaker at [2.5, 3.1, 1.7], mic at [5.5, 2.0, 1.4], fs 48000 Hz.
+// Deterministic: rebuilding with the same parameters reproduces
+// this data exactly. Conditioning (delay trim to a 32-sample
+// guard, truncation to 4096 taps, unit-energy normalization)
+// is documented in the generator script.
+#pragma once
+
+namespace mutap_test::fixtures {
+
+    inline constexpr unsigned k_rir_rehearsal_fs   = 48000;
+    inline constexpr unsigned k_rir_rehearsal_taps = 4096;
+
+    inline constexpr float k_rir_rehearsal[4096] = {
+        -1.40113892e-03f, -1.40288980e-03f, -1.40464151e-03f, -1.40639406e-03f,
+        -1.40814745e-03f, -1.40990167e-03f, -1.41165672e-03f, -1.41341261e-03f,
+        -1.41653979e-03f, -1.41130928e-03f, -1.43163340e-03f, -1.39687060e-03f,
+        -1.45991631e-03f, -1.36837856e-03f, -1.50315748e-03f, -1.32400142e-03f,
+        -1.56326821e-03f, -1.26173128e-03f, -1.64237332e-03f, -1.17929662e-03f,
+        -1.74292715e-03f, -1.07402007e-03f, -1.86788611e-03f, -9.42587056e-04f,
+        -2.02100173e-03f, -7.80712727e-04f, -2.20723817e-03f, -5.82576147e-04f,
+        -2.43350450e-03f, -3.39868121e-04f, -2.70989726e-03f, -4.01769809e-05f,
+        -3.05168294e-03f, 3.35558129e-04f, -3.48371865e-03f, 8.20255670e-04f,
+        -4.04957250e-03f, 1.47282332e-03f, -4.83126063e-03f, 2.41089599e-03f,
+        -6.00374718e-03f, 3.90685027e-03f, -8.01657582e-03f, 6.76305614e-03f,
+        -1.24721610e-02f, 1.48038878e-02f, -3.23503616e-02f, 2.80835611e-01f,
+        3.85016725e-02f, -2.00107341e-02f, 1.04882852e-02f, -1.02792814e-02f,
+        5.39304723e-03f, -7.11067539e-03f, 3.20401983e-03f, -5.50553955e-03f,
+        1.95916413e-03f, -4.51714142e-03f, 1.14101923e-03f, -3.83743908e-03f,
+        5.54354915e-04f, -3.33659908e-03f, 1.09464513e-04f, -2.95064222e-03f,
+        -2.40361102e-04f, -2.64478703e-03f, -5.21964714e-04f, -2.39780374e-03f,
+        -7.51972802e-04f, -2.19659079e-03f, -9.40967431e-04f, -2.03246561e-03f,
+        -1.09617266e-03f, -1.89935739e-03f, -1.22273676e-03f, -1.79283633e-03f,
+        -1.32453071e-03f, -1.70948886e-03f, -1.40459609e-03f, -1.64656854e-03f,
+        -1.46544330e-03f, -1.60175652e-03f, -1.50923171e-03f, -1.57301726e-03f,
+        -1.53790145e-03f, -1.55849257e-03f, -1.55324276e-03f, -1.55644663e-03f,
+        -1.55826525e-03f, -1.56008459e-03f, -1.56190467e-03f, -1.56372547e-03f,
+        -1.56554700e-03f, -1.56736926e-03f, -1.56919225e-03f, -1.57101596e-03f,
+        -1.57284039e-03f, -1.57466555e-03f, -1.57649142e-03f, -1.57831802e-03f,
+        -1.58014534e-03f, -1.58197338e-03f, -1.58380213e-03f, -1.58563160e-03f,
+        -1.58746179e-03f, -1.58929269e-03f, -1.59112431e-03f, -1.59295663e-03f,
+        -1.59478967e-03f, -1.59662342e-03f, -1.59845788e-03f, -1.60029304e-03f,
+        -1.60212892e-03f, -1.60396550e-03f, -1.60580278e-03f, -1.60764077e-03f,
+        -1.60947946e-03f, -1.61131885e-03f, -1.61315894e-03f, -1.61499974e-03f,
+        -1.61684123e-03f, -1.61868341e-03f, -1.62052630e-03f, -1.62236988e-03f,
+        -1.62421415e-03f, -1.62605911e-03f, -1.62790477e-03f, -1.62975111e-03f,
+        -1.63159815e-03f, -1.63344587e-03f, -1.63529428e-03f, -1.63714338e-03f,
+        -1.63899316e-03f, -1.64084362e-03f, -1.64269477e-03f, -1.64454660e-03f,
+        -1.64639910e-03f, -1.64825229e-03f, -1.65010615e-03f, -1.65196069e-03f,
+        -1.65381590e-03f, -1.65567179e-03f, -1.65752835e-03f, -1.65938558e-03f,
+        -1.66124348e-03f, -1.66310205e-03f, -1.66496128e-03f, -1.66682118e-03f,
+        -1.66868175e-03f, -1.67054298e-03f, -1.67240488e-03f, -1.67426743e-03f,
+        -1.67613065e-03f, -1.67799452e-03f, -1.67985905e-03f, -1.68172424e-03f,
+        -1.68359008e-03f, -1.68545658e-03f, -1.68732373e-03f, -1.68919152e-03f,
+        -1.69105997e-03f, -1.69292907e-03f, -1.69479881e-03f, -1.69666920e-03f,
+        -1.69854024e-03f, -1.70041191e-03f, -1.70228423e-03f, -1.70415719e-03f,
+        -1.70603078e-03f, -1.70790502e-03f, -1.70977989e-03f, -1.71165540e-03f,
+        -1.71353153e-03f, -1.71540831e-03f, -1.71728571e-03f, -1.71916374e-03f,
+        -1.72104240e-03f, -1.72292168e-03f, -1.72480159e-03f, -1.72668213e-03f,
+        -1.72856328e-03f, -1.73044506e-03f, -1.73244247e-03f, -1.73373858e-03f,
+        -1.73718276e-03f, -1.73599442e-03f, -1.74303981e-03f, -1.73706195e-03f,
+        -1.75016918e-03f, -1.73677963e-03f, -1.75873904e-03f, -1.73497143e-03f,
+        -1.76893848e-03f, -1.73143348e-03f, -1.78098510e-03f, -1.72592861e-03f,
+        -1.79514193e-03f, -1.71816484e-03f, -1.81174143e-03f, -1.70775835e-03f,
+        -1.83121732e-03f, -1.69419427e-03f, -1.85419616e-03f, -1.67674262e-03f,
+        -1.88155574e-03f, -1.65429617e-03f, -1.91451404e-03f, -1.62549084e-03f,
+        -1.95515711e-03f, -1.58727719e-03f, -2.00738542e-03f, -1.53450111e-03f,
+        -2.07837550e-03f, -1.45685047e-03f, -2.18351565e-03f, -1.33025832e-03f,
+        -2.36273960e-03f, -1.08295964e-03f, -2.76121908e-03f, -3.61741006e-04f,
+        -4.63083007e-03f, 1.84842422e-01f, 1.31342533e-03f, -3.32409623e-03f,
+        -8.18689236e-04f, -2.54766603e-03f, -1.23844230e-03f, -2.28961739e-03f,
+        -1.42379967e-03f, -2.15922616e-03f, -1.53148083e-03f, -2.07984394e-03f,
+        -1.60376234e-03f, -2.02615655e-03f, -1.65672006e-03f, -1.98743538e-03f,
+        -1.69780066e-03f, -1.95835701e-03f, -1.73077422e-03f, -1.93622850e-03f,
+        -1.75795951e-03f, -1.91897819e-03f, -1.78087098e-03f, -1.90552976e-03f,
+        -1.80036934e-03f, -1.89517409e-03f, -1.81705005e-03f, -1.88741307e-03f,
+        -1.83133612e-03f, -1.88188388e-03f, -1.84354050e-03f, -1.87830667e-03f,
+        -1.85391319e-03f, -1.87646086e-03f, -1.86266009e-03f, -1.87615397e-03f,
+        -1.86995567e-03f, -1.87722080e-03f, -1.87596075e-03f, -1.87950724e-03f,
+        -1.88082303e-03f, -1.88286968e-03f, -1.88479701e-03f, -1.88672486e-03f,
+        -1.89065731e-03f, -1.88237059e-03f, -1.91143027e-03f, -1.86001252e-03f,
+        -1.95142305e-03f, -1.81719700e-03f, -2.01315527e-03f, -1.75132301e-03f,
+        -2.09932890e-03f, -1.65956311e-03f, -2.21292742e-03f, -1.53873931e-03f,
+        -2.35737092e-03f, -1.38513177e-03f, -2.53675227e-03f, -1.19418154e-03f,
+        -2.75621011e-03f, -9.60026918e-04f, -3.02251255e-03f, -6.74759183e-04f,
+        -3.34501104e-03f, -3.27191536e-04f, -3.73724501e-03f, 9.92652687e-05f,
+        -4.21981079e-03f, 6.30531254e-04f, -4.82575040e-03f, 1.30934472e-03f,
+        -5.61137901e-03f, 2.21148382e-03f, -6.68104982e-03f, 3.48463676e-03f,
+        -8.25085344e-03f, 5.45824190e-03f, -1.08498835e-02f, 9.04231655e-03f,
+        -1.61994853e-02f, 1.79947407e-02f, -3.48521439e-02f, 8.97431117e-02f,
+        1.15426908e-01f, -3.75079839e-02f, 1.88306305e-02f, -1.65633951e-02f,
+        9.17228617e-03f, -1.09171921e-02f, 5.42140411e-03f, -8.23357795e-03f,
+        3.38272845e-03f, -6.63467565e-03f, 2.07765928e-03f, -5.55713462e-03f,
+        1.15796351e-03f, -4.77379631e-03f, 4.69060413e-04f, -4.17580852e-03f,
+        -6.79145269e-05f, -3.70463730e-03f, -4.97290009e-04f, -3.32612919e-03f,
+        -8.45824238e-04f, -3.01898001e-03f, -1.13070563e-03f, -2.76915103e-03f,
+        -1.36354771e-03f, -2.56691889e-03f, -1.55258664e-03f, -2.40522139e-03f,
+        -1.70395223e-03f, -2.27867423e-03f, -1.82243096e-03f, -2.18297181e-03f,
+        -1.91194106e-03f, -2.11450811e-03f, -1.97583542e-03f, -2.07013561e-03f,
+        -2.01709495e-03f, -2.04700841e-03f, -2.03845564e-03f, -2.04248172e-03f,
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+        -6.81914509e-03f, -3.66843521e-03f, 3.60603399e-03f, -6.34044526e-03f,
+        -6.29360761e-03f, -4.80997976e-03f, -7.57677506e-03f, -3.10408497e-03f,
+        -1.10661836e-02f, 3.92905317e-02f, 1.47254987e-03f, -8.85970426e-03f,
+        -3.92682942e-03f, -8.06328996e-03f, 5.84999053e-03f, 1.16218428e-02f,
+        -3.53883705e-03f, 5.53557540e-03f, -5.09563872e-03f, 5.70696094e-03f,
+        -5.57262333e-03f, -4.10173605e-03f, -9.96697066e-03f, 8.64853873e-03f,
+        2.14074692e-02f, -4.58294487e-03f, -1.05610186e-02f, 1.29393758e-02f,
+        3.66373799e-02f, -4.10301190e-03f, -1.13811558e-03f, -9.57555310e-03f,
+        -2.84288420e-03f, -8.38319785e-03f, -3.72893815e-03f, -7.65119105e-03f,
+        -4.43450717e-03f, -6.78768492e-03f, -6.00667253e-03f, 8.02352722e-04f,
+        2.11280102e-03f, -1.05367728e-02f, -1.78862590e-03f, -9.90201083e-03f,
+        -1.49724985e-03f, -1.10857385e-02f, 2.00861561e-03f, 3.41499822e-03f,
+        8.15891928e-03f, 2.80230827e-02f, 1.28016504e-03f, 8.59734389e-03f,
+        -5.06978183e-03f, -1.07945258e-02f, 3.29009993e-02f, 1.71296760e-03f,
+        -4.00248470e-03f, 2.10028853e-02f, -1.20440001e-02f, -2.74246378e-03f,
+        6.32476402e-03f, -8.92152968e-04f, -9.50209025e-03f, -2.73471999e-03f,
+        -8.76394562e-03f, -3.01527821e-03f, -8.87770716e-03f, -2.31911893e-03f,
+        -1.10658174e-02f, 1.30056959e-02f, 4.38621131e-04f, -7.53575142e-03f,
+        -6.36725681e-03f, 4.00625484e-03f, 5.01817013e-03f, -1.40956395e-02f,
+        8.60239715e-03f, 1.50007998e-02f, -5.78793078e-03f, 1.67631732e-02f,
+        -1.34441209e-02f, 5.23967880e-04f, -1.34919348e-02f, 1.63782529e-02f,
+        6.43795958e-03f, 7.70007039e-03f, 1.50646281e-02f, 3.02017651e-02f,
+        -3.48464873e-03f, -4.07432456e-03f, 2.39763886e-02f, -1.10928932e-02f,
+        -1.72360438e-03f, -1.07613502e-02f, 9.37446706e-03f, -1.35654345e-03f,
+        -7.05745385e-03f, -5.78730582e-03f, 9.33927048e-03f, -4.20061958e-03f,
+        -7.46242971e-03f, -2.51944385e-03f, 1.19238777e-02f, -1.02506486e-02f,
+        3.68702479e-05f, -3.22826779e-05f, -6.35872267e-03f, 1.48266818e-02f,
+        -6.46794149e-03f, -5.66770541e-03f, -5.91306192e-03f, -5.89165363e-03f,
+        -5.89079687e-03f, -5.59422877e-03f, -7.24870739e-03f, 1.16407071e-02f,
+        8.43395212e-03f, 1.53682845e-02f, 7.53823978e-03f, -1.00648788e-02f,
+        -1.58937960e-03f, -1.15540142e-02f, 5.31942144e-03f, 1.82443010e-02f,
+        1.80994993e-02f, 1.37978934e-02f, -1.53141074e-03f, 1.64243484e-02f,
+        -1.52563433e-02f, 4.30756066e-03f, 2.13964225e-02f, 2.18689414e-03f,
+        -8.95391457e-03f, -3.26541139e-03f, -8.42621739e-03f, -3.10746063e-03f,
+        -9.49825681e-03f, 1.09654604e-02f, -4.73963132e-03f, -5.51366047e-03f,
+        -6.72705068e-03f, -4.69505550e-03f, 4.18964730e-03f, -4.62702931e-03f,
+        -7.22681562e-03f, -4.76686535e-03f, -3.59199363e-03f, 6.91501513e-03f,
+        -1.12093490e-03f, 2.55245139e-02f, -5.72664305e-03f, -1.23899261e-03f,
+        -1.37917310e-02f, 1.28464786e-02f, 1.42638517e-02f, -7.30705714e-03f,
+        5.67466611e-03f, 1.05717565e-02f, -4.95683889e-04f, 1.50456346e-02f,
+        -7.18349034e-05f, -7.71720366e-03f, -6.62744168e-03f, 2.24325567e-03f,
+        -5.47548137e-03f, 7.23577999e-03f, 8.52639053e-03f, -1.10440899e-02f,
+        -3.73159546e-03f, -3.42063738e-03f, 4.97202751e-03f, -9.74247929e-03f,
+        -3.91280088e-03f, -6.05863566e-03f, -8.98542187e-03f, 1.42402941e-02f,
+        2.73623336e-02f, -2.14142097e-02f, 3.63525723e-02f, 5.76361330e-04f,
+        1.64596135e-02f, 9.35298408e-03f, -7.65072224e-03f, -5.98516647e-03f,
+        -4.74012281e-03f, -7.93042197e-03f, -2.59933080e-03f, -1.16596048e-02f,
+        1.16925752e-02f, 1.20607982e-02f, -1.15903168e-02f, -2.74129374e-03f,
+        -7.68228261e-03f, -5.30675449e-03f, -3.51186911e-03f, 3.75483887e-03f,
+        -8.81034983e-03f, -4.95651891e-03f, 1.23805442e-03f, 2.32609686e-03f,
+        -1.05386726e-02f, 1.05616088e-02f, -1.27039396e-02f, 1.79814433e-03f,
+        -1.70316928e-02f, 3.48242792e-02f, 1.96830135e-02f, -1.18472320e-02f,
+        -3.96077432e-03f, -3.49015000e-03f, 1.72833440e-02f, -1.16772639e-02f,
+        -1.52487827e-03f, -1.07461524e-02f, 1.36151799e-02f, 7.47447031e-03f,
+        -1.03809644e-02f, 1.99292558e-03f, 2.35392561e-03f, -8.06602796e-03f,
+        -4.74728251e-03f, -6.57059501e-03f, -5.40956009e-03f, -6.33901876e-03f,
+        -4.67880984e-03f, 8.97214130e-03f, -9.66488221e-03f, 3.21792328e-02f,
+        -4.08495037e-03f, -3.92184661e-04f, 2.67213233e-02f, -7.80904885e-03f,
+        -5.06517391e-03f, -4.98519083e-03f, 4.79331538e-03f, -9.40249334e-03f,
+        6.08452060e-04f, 5.91967081e-04f, -5.84319910e-03f, 1.20344893e-02f,
+        1.44133012e-02f, -8.12679431e-03f, -6.99972892e-03f, 2.99063667e-03f,
+        7.47318673e-03f, -1.12457310e-02f, -1.94882810e-03f, -9.68286814e-03f,
+        1.83128136e-02f, -6.55381511e-03f, -4.62939698e-03f, -7.31754989e-03f,
+        -4.30622320e-03f, -7.55208270e-03f, 5.68625347e-03f, -1.08810032e-02f,
+        1.77087074e-02f, -3.55915503e-04f, -7.96430217e-03f, -4.75841990e-03f,
+        -6.56923261e-03f, 6.66483412e-03f, -5.67663635e-03f, -6.58351862e-03f,
+        -2.66440472e-03f, 7.70991031e-03f, 5.63781222e-03f, -4.69870142e-03f,
+        1.83442994e-02f, 6.18736204e-04f, -5.99202618e-04f, 7.02263649e-03f,
+        -7.04292385e-03f, -4.91727410e-03f, -5.19689379e-03f, 3.36512999e-02f,
+        -4.94679031e-03f, -5.32737088e-03f, -6.76427697e-03f, -4.80866161e-03f,
+        -7.16943983e-03f, -4.25072407e-03f, -8.27978725e-03f, 6.98112159e-06f,
+        7.46896374e-04f, -8.16329317e-03f, 3.05320601e-03f, 1.23651444e-02f,
+        -8.43013677e-03f, 9.07281647e-03f, 7.03076407e-03f, -1.42174056e-03f,
+        -2.80967956e-03f, -8.70709912e-03f, -3.04075682e-03f, -9.35659057e-03f,
+        1.04091832e-02f, 4.31572995e-03f, -4.02228201e-03f, 8.57308892e-03f,
+        6.52952361e-03f, -1.03797144e-02f, -4.51565632e-04f, 8.22875213e-03f,
+        -4.89760157e-03f, 6.97879951e-05f, 8.00349468e-03f, 1.02759640e-02f,
+        -4.60716345e-03f, 8.98257675e-03f, -7.95904506e-03f, 5.29842354e-03f,
+        -1.10422325e-02f, -2.36041707e-03f, -1.99588846e-03f, 2.83253919e-03f,
+        -8.82599562e-04f, -1.88066102e-03f, -1.20237274e-02f, 1.84707428e-02f,
+        -1.77433254e-04f, -5.19876616e-03f, -8.79202095e-03f, 2.35495276e-04f,
+        9.50177681e-03f, 4.84968032e-02f, 2.01640052e-02f, 4.40881192e-02f,
+        1.49238000e-03f, -9.49531309e-03f, -3.53653704e-03f, -6.96948860e-03f,
+        5.76169438e-03f, -9.38731712e-03f, 4.16824616e-04f, 8.17409568e-03f,
+        4.58582644e-03f, -8.93616429e-03f, -3.85951999e-03f, -7.51110808e-03f,
+        -4.46009347e-03f, -7.19693350e-03f, -4.60961191e-03f, -7.19858178e-03f,
+        -4.38134553e-03f, -8.01786676e-03f, 2.26408388e-03f, -3.54411340e-03f,
+        -6.67810744e-03f, -5.48024692e-03f, -6.11103316e-03f, -5.76623441e-03f,
+        -5.90066757e-03f, -5.99930018e-03f, -5.52652766e-03f, -6.82696687e-03f,
+        -2.41727342e-03f, 7.31852932e-03f, -1.04615841e-02f, -7.41163387e-04f,
+        1.54252474e-02f, 7.64865649e-04f, 8.46105192e-03f, 6.56594241e-04f,
+        -1.43745468e-03f, 6.30670077e-03f, 2.51059165e-03f, -5.74046572e-03f,
+        1.54684670e-02f, 5.26218573e-03f, -2.81150513e-03f, 4.86694757e-03f,
+        5.99692683e-03f, -1.07691994e-02f, 2.96560805e-03f, 2.64943220e-03f,
+        -8.04252372e-03f, -4.99978846e-03f, -5.20561220e-03f, 4.89190329e-03f,
+        -9.83768819e-03f, -1.68428067e-03f, -1.22683601e-02f, 1.46263890e-02f,
+        2.78134668e-02f, -8.13338779e-03f, 4.71997796e-03f, 6.56914268e-03f,
+        4.05667702e-03f, 5.70355316e-03f, 6.68310382e-03f, -3.25910135e-03f,
+        1.03784520e-03f, 2.13869978e-02f, -8.20428883e-04f, -5.07325496e-03f,
+        -5.83058908e-03f, 2.44426697e-02f, -7.11184048e-03f, -5.29939097e-03f,
+        -6.09726654e-03f, -6.01646156e-03f, -5.27214561e-03f, -7.56554053e-03f,
+        5.51167188e-03f, -1.22402993e-03f, -8.76499349e-03f, -1.91999713e-03f,
+        1.87580363e-03f, -6.87624855e-03f, -6.26917309e-03f, 3.19101986e-03f,
+        -5.08073001e-04f, -9.78929146e-03f, -1.66904105e-03f, -1.17886179e-02f,
+        1.01444980e-02f, 1.10805472e-02f, 2.59033047e-02f, -1.00200300e-02f,
+        1.00904082e-02f, 1.56394372e-02f, 1.29292111e-03f, 3.07097962e-02f,
+        3.37784643e-03f, -1.11674821e-02f, 6.42033223e-03f, 6.14505226e-03f,
+    };
+
+} // namespace mutap_test::fixtures
diff --git a/tests/fixtures/rir_studio.h b/tests/fixtures/rir_studio.h
new file mode 100644
index 0000000..057f753
--- /dev/null
+++ b/tests/fixtures/rir_studio.h
@@ -0,0 +1,1047 @@
+// GENERATED by tools/fixtures/make_rir_fixtures.py — do not edit by hand.
+// SPDX-License-Identifier: MIT
+// Copyright 2026 MuTap contributors
+//
+// Physically-modeled room: small dry control room, mic 1.2 m from a wedge.
+// pyroomacoustics image-source method, shoebox [5.0, 4.0, 2.8] m,
+// uniform absorption 0.35, max_order 17,
+// speaker at [1.0, 2.0, 1.2], mic at [2.1, 2.4, 1.3], fs 48000 Hz.
+// Deterministic: rebuilding with the same parameters reproduces
+// this data exactly. Conditioning (delay trim to a 32-sample
+// guard, truncation to 4096 taps, unit-energy normalization)
+// is documented in the generator script.
+#pragma once
+
+namespace mutap_test::fixtures {
+
+    inline constexpr unsigned k_rir_studio_fs   = 48000;
+    inline constexpr unsigned k_rir_studio_taps = 4096;
+
+    inline constexpr float k_rir_studio[4096] = {
+        -2.14331212e-03f, -2.14553537e-03f, -2.14775905e-03f, -2.14998317e-03f,
+        -2.15220773e-03f, -2.15443272e-03f, -2.15665813e-03f, -2.15888397e-03f,
+        -2.16111024e-03f, -2.16333692e-03f, -2.16556401e-03f, -2.16779152e-03f,
+        -2.17001944e-03f, -2.17224776e-03f, -2.17447649e-03f, -2.17670562e-03f,
+        -2.18673041e-03f, -2.14922103e-03f, -2.25700337e-03f, -2.05165349e-03f,
+        -2.40211178e-03f, -1.87438291e-03f, -2.63194558e-03f, -1.60718737e-03f,
+        -2.95713555e-03f, -1.23892609e-03f, -3.38945645e-03f, -7.57041343e-04f,
+        -3.94244051e-03f, -1.46789168e-04f, -4.63233601e-03f, 6.09946277e-04f,
+        -5.47959672e-03f, 1.53654266e-03f, -6.51124476e-03f, 2.66461431e-03f,
+        -7.76471023e-03f, 4.03900858e-03f, -9.29437574e-03f, 5.72645959e-03f,
+        -1.11830667e-02f, 7.83112837e-03f, -1.35640644e-02f, 1.05264608e-02f,
+        -1.66667582e-02f, 1.41219201e-02f, -2.09189232e-02f, 1.92259887e-02f,
+        -2.72163939e-02f, 2.72150294e-02f, -3.77919772e-02f, 4.19820002e-02f,
+        -6.01556606e-02f, 8.04482933e-02f, -1.44938600e-01f, 5.03253647e-01f,
+        3.26817217e-01f, -1.25688863e-01f, 7.31789266e-02f, -5.62075664e-02f,
+        3.93549935e-02f, -3.58996383e-02f, 2.56690744e-02f, -2.59880169e-02f,
+        1.80998663e-02f, -1.99993207e-02f, 1.32079924e-02f, -1.59268635e-02f,
+        9.74064393e-03f, -1.29470722e-02f, 7.13393312e-03f, -1.06608788e-02f,
+        5.09764211e-03f, -8.85231422e-03f, 3.46755652e-03f, -7.39409338e-03f,
+        2.14364208e-03f, -6.20662663e-03f, 1.06166973e-03f, -5.23736694e-03f,
+        1.78098712e-04f, -4.44980307e-03f, -5.38049939e-04f, -3.81733531e-03f,
+        -1.10988633e-03f, -3.31962539e-03f, -1.55552272e-03f, -2.94036321e-03f,
+        -1.88982614e-03f, -2.66584590e-03f, -2.12555024e-03f, -2.48408332e-03f,
+        -2.27407201e-03f, -2.38420025e-03f, -2.34585675e-03f, -2.35606871e-03f,
+        -2.35832102e-03f, -2.36057353e-03f, -2.36282624e-03f, -2.36507916e-03f,
+        -2.36733227e-03f, -2.36958558e-03f, -2.37183909e-03f, -2.37409280e-03f,
+        -2.37634670e-03f, -2.37860078e-03f, -2.38085506e-03f, -2.38310953e-03f,
+        -2.38536418e-03f, -2.38761901e-03f, -2.38987403e-03f, -2.39212923e-03f,
+        -2.39438461e-03f, -2.39664016e-03f, -2.39889589e-03f, -2.40115179e-03f,
+        -2.40340787e-03f, -2.40566411e-03f, -2.40792053e-03f, -2.41017711e-03f,
+        -2.41243385e-03f, -2.41469076e-03f, -2.41694782e-03f, -2.41920505e-03f,
+        -2.42146243e-03f, -2.42371997e-03f, -2.42597766e-03f, -2.42823550e-03f,
+        -2.43049349e-03f, -2.43275163e-03f, -2.43500992e-03f, -2.43726835e-03f,
+        -2.43952692e-03f, -2.44178563e-03f, -2.44404447e-03f, -2.44630346e-03f,
+        -2.44856258e-03f, -2.45082183e-03f, -2.45308121e-03f, -2.45534071e-03f,
+        -2.45760035e-03f, -2.45986011e-03f, -2.46211999e-03f, -2.46437999e-03f,
+        -2.46664011e-03f, -2.46890035e-03f, -2.47116070e-03f, -2.47342116e-03f,
+        -2.47568173e-03f, -2.47794241e-03f, -2.48020320e-03f, -2.48246409e-03f,
+        -2.48472508e-03f, -2.48698617e-03f, -2.48924736e-03f, -2.49150864e-03f,
+        -2.49377002e-03f, -2.49603149e-03f, -2.49829305e-03f, -2.50055470e-03f,
+        -2.50281643e-03f, -2.50507824e-03f, -2.50734014e-03f, -2.50960211e-03f,
+        -2.51186416e-03f, -2.51412629e-03f, -2.51638849e-03f, -2.51865075e-03f,
+        -2.52091309e-03f, -2.52317549e-03f, -2.52543795e-03f, -2.52770048e-03f,
+        -2.52996306e-03f, -2.53222570e-03f, -2.53448840e-03f, -2.53675115e-03f,
+        -2.53901394e-03f, -2.54127679e-03f, -2.54353968e-03f, -2.54580262e-03f,
+        -2.54806559e-03f, -2.55032861e-03f, -2.55259166e-03f, -2.55485475e-03f,
+        -2.55711786e-03f, -2.55938101e-03f, -2.56164418e-03f, -2.56390738e-03f,
+        -2.56617061e-03f, -2.56843385e-03f, -2.57069711e-03f, -2.57296038e-03f,
+        -2.57522367e-03f, -2.57748697e-03f, -2.57975028e-03f, -2.58201359e-03f,
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+        -1.97165898e-03f, 2.11515273e-03f, -1.57386778e-03f, -2.39199247e-03f,
+        -3.77694789e-03f, 1.41495182e-05f, -4.23819927e-03f, -3.99838893e-04f,
+        -1.84292257e-03f, -4.13794427e-03f, -3.85602661e-03f, -3.26367541e-03f,
+        -1.02352133e-03f, -1.11821842e-03f, -1.05977728e-03f, 1.24286188e-03f,
+        6.05471379e-03f, -5.38882583e-03f, -8.58685404e-04f, 2.82203219e-03f,
+        -8.35029879e-04f, -4.09445555e-03f, 1.27992985e-03f, -9.37967248e-05f,
+        -5.04724168e-03f, 2.69376037e-03f, -3.20417365e-03f, -1.58162149e-03f,
+        8.08066909e-04f, -4.66080994e-03f, -3.22330119e-03f, -4.30362249e-03f,
+        -2.21065079e-03f, 2.96976317e-03f, -1.81913544e-03f, 6.54912621e-04f,
+        2.49217761e-03f, -1.33522484e-03f, -5.54243349e-03f, -4.48106706e-04f,
+        -9.82479537e-04f, -2.21475608e-03f, 1.62873784e-03f, -4.69727221e-03f,
+        1.92644814e-03f, 3.95784658e-03f, 3.73904441e-04f, -5.16700288e-04f,
+        -2.32776339e-03f, 1.29988153e-03f, 2.68958812e-03f, 1.16407074e-03f,
+        1.70432050e-03f, -5.78559821e-03f, 5.14141671e-03f, 3.37174474e-03f,
+        -2.74392256e-03f, -5.32313656e-04f, 5.56278251e-04f, -2.88665850e-03f,
+        -3.28788976e-03f, -4.20362250e-03f, 1.87348595e-03f, -3.54692344e-03f,
+        -3.16945750e-03f, -1.65841080e-03f, -4.18242438e-03f, -1.43544251e-03f,
+        -1.02137356e-03f, 2.24513558e-03f, 8.54776674e-04f, -1.37337724e-03f,
+        -9.85155078e-04f, -2.51014320e-03f, -1.38634625e-03f, -3.92926527e-03f,
+        -3.62573273e-03f, 3.05018793e-04f, 2.18085570e-03f, 1.92694139e-03f,
+        1.35673847e-03f, -1.57336770e-05f, -4.70996278e-04f, 4.81152278e-04f,
+        -3.44224823e-03f, -1.74578732e-03f, -3.45206030e-03f, 2.03574602e-03f,
+        -2.01598654e-03f, -3.58838070e-03f, -3.94272302e-04f, -2.06715172e-04f,
+        -4.24059086e-03f, -1.53520733e-03f, -2.98915290e-03f, 1.63414860e-03f,
+        2.08127519e-03f, -4.84499055e-03f, 6.75526504e-03f, 7.10952899e-03f,
+        -4.30695968e-03f, 2.18169603e-03f, 1.85650407e-03f, 3.11565866e-03f,
+        -2.11125220e-03f, 1.27705773e-03f, -5.91562034e-04f, -6.66834096e-04f,
+        -4.60023702e-04f, -4.14689832e-03f, -3.99501168e-03f, -1.84207489e-03f,
+        1.22518905e-02f, 5.70980373e-05f, 6.31486051e-04f, 3.52783558e-04f,
+        -1.61523910e-03f, -3.55324656e-03f, -2.47676924e-03f, -3.61374200e-04f,
+        -2.64197895e-04f, -1.10007127e-03f, -1.23213948e-03f, 2.47706062e-03f,
+        5.16737241e-03f, -2.15926309e-03f, -3.63963318e-03f, -8.93021326e-04f,
+        7.58414090e-03f, -9.37076958e-04f, -1.53437114e-03f, -1.49419828e-03f,
+        -4.09692371e-03f, 2.14666693e-03f, 2.36430884e-04f, -2.25650772e-03f,
+        -1.53866635e-03f, 6.23758555e-03f, -2.42150497e-03f, 2.13421957e-03f,
+        -1.60080852e-03f, -1.35092055e-03f, -1.02897481e-03f, -1.77400790e-03f,
+        -4.63578247e-03f, 4.81523834e-03f, -2.14278609e-03f, -1.57403225e-03f,
+        -5.78677782e-03f, 5.12966356e-03f, -2.05947550e-03f, -3.01460270e-03f,
+        2.14334701e-03f, -2.53055624e-03f, -2.56715632e-03f, -1.95717646e-04f,
+        -3.43359782e-03f, -3.40926148e-04f, -1.50590187e-03f, -6.12339854e-04f,
+        1.50133035e-03f, 1.02130897e-02f, 3.22233022e-03f, 3.43009287e-03f,
+        2.44070366e-03f, -3.32569202e-04f, -2.79672062e-03f, -3.70634444e-03f,
+        -1.17576204e-04f, 3.00403878e-03f, 1.36281122e-03f, -1.00192493e-03f,
+        -3.94677027e-03f, -1.19903456e-03f, -1.98122831e-03f, -3.49460027e-03f,
+        3.73083575e-04f, 7.29541139e-03f, 3.83962884e-03f, -5.22533456e-03f,
+        4.06105975e-03f, -3.14387595e-03f, 7.07210023e-03f, -3.10811173e-03f,
+        -3.70013300e-03f, -1.46135656e-03f, 2.37510999e-03f, -3.47082589e-04f,
+        -1.80078603e-03f, -6.23696407e-05f, 6.96621639e-03f, -3.82350622e-03f,
+        -2.30267083e-03f, -2.37311103e-03f, 5.47383339e-04f, 4.63862783e-03f,
+        -3.83077360e-04f, -3.40947297e-03f, -1.07821817e-03f, -1.20896398e-03f,
+        -2.32654470e-03f, -3.96289138e-03f, 1.57346950e-04f, 1.14938914e-03f,
+        -3.24515582e-03f, -2.79200480e-03f, -2.37664190e-03f, -2.97324818e-03f,
+        -9.63382723e-04f, -4.51102789e-03f, -3.02277669e-03f, -2.21256639e-03f,
+        6.61884010e-03f, 6.80661542e-04f, -3.92359094e-03f, 1.51047579e-03f,
+        7.23849971e-04f, -3.41829571e-03f, -2.45942773e-03f, -5.15374629e-03f,
+        1.56856270e-04f, 3.09960843e-04f, 1.30372264e-03f, 3.32142485e-03f,
+        1.00585357e-03f, -4.05529335e-03f, -1.61059202e-03f, -2.79637770e-03f,
+        5.27013984e-03f, -1.74240654e-03f, -2.52814650e-03f, -3.37782764e-03f,
+        1.14183645e-03f, -1.36940203e-03f, 4.18168710e-03f, -5.23807947e-03f,
+        1.31547685e-04f, 6.54835652e-04f, 2.84682688e-03f, 6.27836677e-03f,
+        -1.98888416e-03f, 6.32030004e-04f, -3.84587153e-03f, -7.98819017e-04f,
+        2.50633974e-03f, -1.78122577e-03f, -2.02770187e-03f, 2.05984900e-03f,
+        -1.24080071e-03f, 3.68440150e-03f, -1.73418318e-03f, -4.25922937e-03f,
+        -2.70796179e-03f, -2.57009483e-03f, 1.20306163e-04f, 3.84920854e-03f,
+        -5.24040535e-03f, -1.92672855e-03f, 2.79201641e-03f, 4.25790467e-03f,
+        -2.92628418e-03f, -2.23123953e-03f, -4.68143917e-03f, 6.72447703e-03f,
+        -2.84144169e-04f, -3.57101980e-03f, 3.75038586e-03f, -2.81988345e-03f,
+        -2.13385025e-03f, -4.22690943e-03f, -2.03418952e-03f, 9.62965841e-04f,
+        2.96016094e-03f, -4.17773702e-03f, 4.69107715e-03f, -1.20511067e-03f,
+        4.45058964e-03f, -2.67642939e-03f, -2.14115074e-03f, 1.17133326e-03f,
+        4.34060416e-03f, -4.39489832e-03f, -1.33596587e-03f, 4.38643839e-03f,
+        -2.50487497e-03f, 2.68070718e-03f, 1.60567199e-03f, 4.05080790e-03f,
+        4.12558869e-03f, -3.49381208e-03f, -1.14735730e-03f, 7.99269752e-03f,
+        -2.42492587e-03f, -2.89351982e-03f, 9.77274197e-04f, 2.29872009e-03f,
+        -3.18766892e-03f, -2.21293818e-03f, -4.27150224e-04f, 1.36331740e-03f,
+        -2.82928064e-03f, -1.22330261e-03f, -3.92558245e-03f, 1.86707700e-03f,
+        4.67311173e-03f, -3.11876001e-03f, 3.24016852e-03f, -1.21478537e-03f,
+        3.30433841e-03f, -1.63312133e-03f, 1.58127728e-03f, 5.59689726e-03f,
+        -1.95811923e-03f, -3.07114361e-03f, 9.17527967e-03f, 4.15618019e-03f,
+        -8.69449097e-04f, 1.20795049e-04f, -1.31885457e-04f, -3.02201925e-03f,
+        -3.61058533e-04f, -5.39213089e-03f, -1.28089683e-04f, -1.16558026e-03f,
+        5.35988426e-03f, -1.02630561e-04f, 3.10575487e-04f, 3.19571725e-03f,
+        3.06612434e-03f, 1.99706715e-03f, -3.99084905e-03f, 7.55834090e-04f,
+        -6.77569584e-04f, 2.36317415e-03f, -2.47722776e-04f, 7.27292893e-03f,
+        4.33025734e-04f, -5.55582867e-04f, -3.09723346e-03f, 8.50553213e-03f,
+        2.49904199e-03f, -3.16019871e-03f, -1.40001882e-03f, -1.25389833e-03f,
+        -5.00290271e-04f, 4.34745925e-03f, -2.95446880e-03f, -1.41914900e-03f,
+        2.00718212e-03f, -1.80430986e-03f, -8.89334795e-04f, 2.58898115e-03f,
+        1.24351880e-03f, -1.77017967e-03f, -1.88193150e-03f, -3.56278839e-03f,
+        -3.22423243e-03f, -3.17383573e-03f, -1.18324813e-03f, -1.18665486e-03f,
+        7.20111805e-04f, 4.05762077e-04f, -3.78228131e-03f, -2.00365948e-03f,
+        -6.24867150e-04f, -9.72778950e-04f, -2.90850149e-05f, -1.34521605e-03f,
+        4.16808793e-04f, -5.10308066e-05f, -9.08310114e-04f, -1.87053713e-04f,
+        -4.85475542e-03f, -8.68394752e-04f, -4.01207020e-03f, 2.37402602e-04f,
+        -2.06253530e-03f, 1.20038940e-03f, -8.90169451e-04f, -5.08686452e-03f,
+        1.90098933e-03f, -1.01600109e-03f, -2.26809915e-03f, -3.98051814e-04f,
+        -6.67547284e-04f, 1.42926423e-03f, -2.30434194e-03f, -1.72129016e-03f,
+        -1.82227856e-03f, -3.58106548e-03f, -1.16503414e-03f, 2.01960278e-03f,
+        7.23537952e-03f, -2.36649583e-03f, -9.76005622e-04f, -1.75054093e-03f,
+        6.06093477e-03f, -4.25403142e-05f, -5.38927199e-04f, -1.00797063e-03f,
+        4.73803310e-03f, 5.15360013e-04f, -2.20455979e-03f, 6.43198700e-04f,
+        9.64444877e-04f, 1.33299774e-03f, 2.50847573e-03f, 8.91491898e-03f,
+        -2.12082577e-03f, 3.23876846e-03f, -9.76463765e-04f, -4.78365161e-03f,
+        5.02071469e-04f, -2.93985342e-03f, -2.49079464e-03f, 2.31302996e-03f,
+        1.72181362e-03f, -2.00493443e-03f, 4.44406808e-04f, -9.44691940e-05f,
+        8.04041242e-03f, -2.17596061e-03f, -9.22368356e-04f, 2.81257850e-03f,
+        3.06119985e-03f, -3.81145232e-04f, -1.76689951e-03f, -8.97771960e-04f,
+        1.43837992e-03f, -3.20119893e-03f, -9.21187417e-04f, 2.00186418e-03f,
+        -2.33534334e-04f, 3.33221202e-04f, -2.74313386e-03f, -6.98603379e-04f,
+        -4.22385429e-03f, 7.05046238e-03f, 8.65244946e-03f, -4.38090022e-03f,
+        -2.65635113e-03f, -1.99465449e-03f, -1.13774374e-03f, -6.15599418e-04f,
+        6.89732921e-04f, 7.36444243e-05f, 4.61067432e-03f, -5.63104936e-04f,
+        -1.40496047e-05f, -4.92288613e-03f, 6.90118045e-03f, -7.59447761e-04f,
+        2.42046636e-03f, 1.52457137e-03f, 8.74547039e-04f, 3.05689429e-04f,
+        -2.33477630e-04f, -4.18454789e-04f, -4.87775067e-03f, -9.09539278e-04f,
+        2.87824950e-03f, 9.79083466e-03f, 1.21647043e-03f, -3.94700689e-03f,
+        2.00561852e-03f, -5.09153129e-04f, -1.24561718e-03f, -1.86070911e-03f,
+        -4.24145572e-03f, 6.78746287e-03f, 6.65607379e-03f, -5.58647170e-03f,
+        1.07473570e-03f, -3.14156587e-03f, 6.05508156e-04f, -6.44542902e-04f,
+        7.14210318e-04f, 2.21236563e-03f, -1.82315986e-03f, -3.40441486e-03f,
+        -3.37208823e-03f, 6.80230635e-04f, 1.88782857e-03f, 1.80068440e-03f,
+        -1.33636126e-03f, -2.52659016e-03f, -8.54570617e-04f, 3.60963957e-03f,
+        -2.04762414e-03f, -2.13837053e-03f, -6.15393419e-04f, -1.54049596e-03f,
+        2.63033503e-03f, -1.36626209e-03f, 1.28594156e-03f, -2.55960691e-04f,
+        -2.49006102e-03f, -7.41325410e-04f, -9.69943885e-04f, -3.80176777e-03f,
+        2.66773205e-03f, -1.27017940e-03f, -1.49321164e-03f, 7.11284158e-04f,
+        -1.97457257e-03f, -2.42419334e-04f, 2.35357279e-03f, 6.71692730e-03f,
+        -3.27589159e-03f, 3.60362408e-03f, 5.97120386e-03f, -2.68954027e-03f,
+        8.63652541e-04f, 2.83402479e-04f, 3.08646387e-05f, 6.75233331e-03f,
+        -2.54111703e-03f, -1.29108450e-03f, 2.19764601e-03f, -3.30642470e-03f,
+        -2.10886718e-03f, 2.18525045e-04f, -4.79335124e-04f, 6.22686549e-03f,
+        2.09453507e-03f, 7.14942597e-04f, 5.30455216e-03f, -2.90888707e-04f,
+        -2.02228215e-03f, 2.73894916e-03f, -3.26447307e-03f, -9.33243670e-04f,
+        -1.51084291e-03f, 5.75921490e-03f, -4.94911882e-04f, -6.63449098e-04f,
+        -4.82568300e-03f, 5.14360500e-04f, -1.94160639e-03f, -2.17300649e-03f,
+        -4.26527578e-03f, -1.31302552e-03f, -2.34277147e-03f, 3.55936092e-03f,
+        -2.11845614e-03f, -1.35541546e-03f, -2.11901766e-03f, -9.12932503e-04f,
+        1.02916298e-03f, -1.04777034e-03f, -7.79197629e-04f, -1.29982298e-03f,
+    };
+
+} // namespace mutap_test::fixtures
diff --git a/tests/test_rir_fixtures.cpp b/tests/test_rir_fixtures.cpp
new file mode 100644
index 0000000..5ba8661
--- /dev/null
+++ b/tests/test_rir_fixtures.cpp
@@ -0,0 +1,134 @@
+// SPDX-License-Identifier: MIT
+// Copyright 2026 MuTap contributors
+//
+// The RIR fixtures: physically-modeled rooms (image-source method; see
+// tools/fixtures/make_rir_fixtures.py for the geometry, conditioning and
+// how to add measured rooms) used as feedback paths in the closed loop.
+// Unlike the synthetic random-decay rooms used elsewhere, these have real
+// early-reflection structure: a direct sound, discrete wall reflections at
+// geometry-determined delays, and a dense decaying tail.
+//
+// Measured (block 64, 16 partitions over the first 1024 taps, converge
+// 3000 blocks at MSG-6 on speech-envelope material):
+//
+//   room       MSG      Kalman ASG   NLMS ASG
+//   studio     -7.7 dB    +17.8 dB     +9.4 dB
+//   rehearsal  -8.0 dB    +18.8 dB     +9.7 dB
+//   hall       -7.1 dB    +19.1 dB     +9.7 dB
+//
+// Thresholds sit well inside those numbers so they gate regressions.
+
+#include <cmath>
+#include <cstddef>
+#include <vector>
+
+#include <gtest/gtest.h>
+
+#include "fixtures/rir_hall.h"
+#include "fixtures/rir_rehearsal.h"
+#include "fixtures/rir_studio.h"
+#include "mutap/fd_kalman.h"
+#include "mutap/pem_afc.h"
+#include "support/closed_loop.h"
+
+namespace {
+
+    using mutap_test::closed_loop_sim;
+
+    constexpr size_t k_block = 64;
+    constexpr size_t k_taps  = 1024; ///< first 21 ms: direct + early reflections
+    constexpr size_t k_parts = k_taps / k_block;
+
+    struct room {
+        const char*  name;
+        const float* rir;
+        size_t       full_taps;
+    };
+
+    const room k_rooms[] = {
+        {"studio", mutap_test::fixtures::k_rir_studio, mutap_test::fixtures::k_rir_studio_taps},
+        {"rehearsal", mutap_test::fixtures::k_rir_rehearsal, mutap_test::fixtures::k_rir_rehearsal_taps},
+        {"hall", mutap_test::fixtures::k_rir_hall, mutap_test::fixtures::k_rir_hall_taps},
+    };
+
+    // The tests model the first k_taps of the room (a practical canceller
+    // length); the truncation is re-normalized to unit energy so gain
+    // numbers stay comparable across rooms and with the synthetic tests.
+    std::vector<double> truncated_path(const room& r) {
+        std::vector<double> f(r.rir, r.rir + k_taps);
+        double              energy = 0.0;
+        for (const double v : f) {
+            energy += v * v;
+        }
+        for (auto& v : f) {
+            v /= std::sqrt(energy);
+        }
+        return f;
+    }
+
+    template <typename Pem>
+    double converge_and_measure_asg(const std::vector<double>& path) {
+        const double open_msg = mutap_test::theoretical_msg_db(path);
+
+        typename closed_loop_sim<double>::config lc;
+        lc.feedback_path = path;
+        lc.block_size    = k_block;
+        lc.forward_delay = 2 * k_block;
+
+        typename Pem::config pc;
+        pc.fdaf.block_size = k_block;
+        pc.fdaf.partitions = k_parts;
+        Pem pem(pc);
+
+        const auto v_converge = mutap_test::ar_near_end<double>(3000 * k_block, 2);
+        const auto v_probe    = mutap_test::ar_near_end<double>(600 * k_block, 12);
+
+        auto converge_cfg            = lc;
+        converge_cfg.forward_gain_db = open_msg - 6.0;
+        closed_loop_sim<double> sim(converge_cfg);
+        for (size_t blk = 0; blk < 3000; ++blk) {
+            sim.step(&v_converge[blk * k_block], &pem);
+        }
+        return mutap_test::measured_msg_db(lc, &pem, v_probe, open_msg - 15.0, open_msg + 25.0, 0.5) - open_msg;
+    }
+
+    // The generator's contract: full-length, unit-energy, and the direct
+    // sound inside the leading guard (the bulk delay was trimmed).
+    TEST(RirFixtures, FixturesAreConditionedAsDocumented) {
+        for (const auto& r : k_rooms) {
+            EXPECT_EQ(r.full_taps, 4096U) << r.name;
+            double energy = 0.0;
+            double peak   = 0.0;
+            size_t argmax = 0;
+            for (size_t i = 0; i < r.full_taps; ++i) {
+                const double v = static_cast<double>(r.rir[i]);
+                energy += v * v;
+                if (std::abs(v) > peak) {
+                    peak   = std::abs(v);
+                    argmax = i;
+                }
+            }
+            EXPECT_NEAR(energy, 1.0, 1e-3) << r.name;
+            EXPECT_LT(argmax, 64U) << r.name << ": direct sound should sit near the trimmed onset";
+        }
+    }
+
+    // The headline: on rooms with REAL reflection structure, the Kalman
+    // canceller holds the same large broadband gains the synthetic rooms
+    // showed (measured +17.8..+19.1 dB across the three rooms).
+    TEST(RirFixtures, KalmanPemAddsStableGainOnModeledRooms) {
+        using pem = mutap::pem_afc<double, mutap::speech_predictor<double>, mutap::partitioned_fdkf<double>>;
+        for (const auto& r : k_rooms) {
+            EXPECT_GT(converge_and_measure_asg<pem>(truncated_path(r)), 10.0) << r.name << " (measured >= +17.8 dB)";
+        }
+    }
+
+    // And the classic engine's reference point on one room (measured
+    // +9.4 dB) — the gap between these two tests is the v2 story told on
+    // realistic acoustics.
+    TEST(RirFixtures, NlmsPemAddsStableGainOnStudio) {
+        EXPECT_GT(converge_and_measure_asg<mutap::pem_afc<double>>(truncated_path(k_rooms[0])), 4.0)
+            << "measured +9.4 dB";
+    }
+
+} // namespace
diff --git a/tools/fixtures/make_rir_fixtures.py b/tools/fixtures/make_rir_fixtures.py
new file mode 100644
index 0000000..42bc224
--- /dev/null
+++ b/tools/fixtures/make_rir_fixtures.py
@@ -0,0 +1,205 @@
+#!/usr/bin/env python3
+"""Generate the committed RIR fixtures in tests/fixtures/.
+
+Room impulse responses used as feedback paths F in the closed-loop
+regression tests. Two sources of truth:
+
+  --generate     Rebuild the physically-modeled rooms defined in ROOMS
+                 below (pyroomacoustics image-source method: deterministic,
+                 reproducible bit-for-bit from these parameters). These are
+                 the shipped fixtures until measured rooms replace or join
+                 them.
+
+  --from-wav WAV NAME --source "..."
+                 Convert a measured RIR (an academic dataset room, or your
+                 own swept-sine measurement) into a fixture header. State
+                 the provenance and license in --source; it is embedded in
+                 the header, because the fixture becomes a permanent
+                 pass/fail baseline and future readers must know what room
+                 they are being judged against. The WAV must be mono; if
+                 its rate is not 48 kHz it is resampled (needs scipy).
+
+Every fixture is processed the same way, documented here once:
+  1. trim the bulk propagation delay to a 32-sample guard before the
+     first sample within 40 dB of the peak (the tests' canceller lengths
+     then model the room, not silence);
+  2. truncate to TAPS samples (85 ms at 48 kHz: the direct sound, the
+     early reflections and the early tail — what a practical canceller
+     filter length covers);
+  3. normalize to unit energy (matching the synthetic fixtures, so gain
+     numbers stay comparable across rooms).
+
+Requires: numpy; pyroomacoustics for --generate; scipy only if a WAV
+needs resampling.
+"""
+
+import argparse
+import pathlib
+
+import numpy as np
+
+REPO_ROOT = pathlib.Path(__file__).resolve().parents[2]
+OUT_DIR = REPO_ROOT / "tests" / "fixtures"
+FS = 48000
+TAPS = 4096
+GUARD = 32  # samples of true pre-delay kept ahead of the direct sound
+
+# The modeled rooms. Deliberately differentiated: a dry nearfield studio,
+# a mid-size rehearsal room, and a reverberant hall with a distant mic —
+# the axis along which feedback cancellation gets harder.
+ROOMS = {
+    "studio": dict(
+        dims=[5.0, 4.0, 2.8],
+        absorption=0.35,
+        max_order=17,
+        speaker=[1.0, 2.0, 1.2],
+        mic=[2.1, 2.4, 1.3],
+        blurb="small dry control room, mic 1.2 m from a wedge",
+    ),
+    "rehearsal": dict(
+        dims=[8.0, 6.0, 3.5],
+        absorption=0.20,
+        max_order=17,
+        speaker=[2.5, 3.1, 1.7],
+        mic=[5.5, 2.0, 1.4],
+        blurb="mid-size rehearsal room, mic 3.2 m from the speaker",
+    ),
+    "hall": dict(
+        dims=[15.0, 10.0, 6.0],
+        absorption=0.12,
+        max_order=17,
+        speaker=[4.0, 5.0, 2.0],
+        mic=[9.5, 4.2, 1.6],
+        blurb="reverberant hall, mic 5.6 m out — the PA scenario",
+    ),
+}
+
+
+def condition(rir: np.ndarray) -> np.ndarray:
+    rir = np.asarray(rir, dtype=np.float64)
+    peak = np.max(np.abs(rir))
+    if peak <= 0:
+        raise ValueError("silent RIR")
+    onset = int(np.argmax(np.abs(rir) >= peak * 10 ** (-40 / 20)))
+    start = max(0, onset - GUARD)
+    rir = rir[start : start + TAPS]
+    if len(rir) < TAPS:
+        rir = np.pad(rir, (0, TAPS - len(rir)))
+    return rir / np.sqrt(np.sum(rir * rir))
+
+
+def emit_header(name: str, rir: np.ndarray, provenance: str) -> None:
+    OUT_DIR.mkdir(parents=True, exist_ok=True)
+    path = OUT_DIR / f"rir_{name}.h"
+    lines = [
+        "// GENERATED by tools/fixtures/make_rir_fixtures.py — do not edit by hand.",
+        "// SPDX-License-Identifier: MIT",
+        "// Copyright 2026 MuTap contributors",
+        "//",
+    ]
+    for ln in provenance.splitlines():
+        lines.append(f"// {ln}".rstrip())
+    lines += [
+        "#pragma once",
+        "",
+        "namespace mutap_test::fixtures {",
+        "",
+        f"    inline constexpr unsigned k_rir_{name}_fs   = {FS};",
+        f"    inline constexpr unsigned k_rir_{name}_taps = {len(rir)};",
+        "",
+        f"    inline constexpr float k_rir_{name}[{len(rir)}] = {{",
+    ]
+    row = []
+    for i, v in enumerate(rir):
+        row.append(f"{v:.8e}f")
+        if len(row) == 4:
+            lines.append("        " + ", ".join(row) + ",")
+            row = []
+    if row:
+        lines.append("        " + ", ".join(row) + ",")
+    lines += ["    };", "", "} // namespace mutap_test::fixtures", ""]
+    path.write_text("\n".join(lines))
+    print(f"wrote {path} ({len(rir)} taps)")
+
+
+def generate_modeled() -> None:
+    import pyroomacoustics as pra
+
+    for name, spec in ROOMS.items():
+        room = pra.ShoeBox(
+            spec["dims"],
+            fs=FS,
+            materials=pra.Material(spec["absorption"]),
+            max_order=spec["max_order"],
+        )
+        room.add_source(spec["speaker"])
+        room.add_microphone(spec["mic"])
+        room.compute_rir()
+        rir = condition(room.rir[0][0])
+        provenance = "\n".join(
+            [
+                f"Physically-modeled room: {spec['blurb']}.",
+                f"pyroomacoustics image-source method, shoebox {spec['dims']} m,",
+                f"uniform absorption {spec['absorption']}, max_order {spec['max_order']},",
+                f"speaker at {spec['speaker']}, mic at {spec['mic']}, fs {FS} Hz.",
+                "Deterministic: rebuilding with the same parameters reproduces",
+                "this data exactly. Conditioning (delay trim to a 32-sample",
+                f"guard, truncation to {TAPS} taps, unit-energy normalization)",
+                "is documented in the generator script.",
+            ]
+        )
+        emit_header(name, rir, provenance)
+
+
+def from_wav(wav_path: str, name: str, source: str) -> None:
+    import wave
+
+    with wave.open(wav_path, "rb") as w:
+        if w.getnchannels() != 1:
+            raise SystemExit("mono WAV required")
+        fs = w.getframerate()
+        raw = w.readframes(w.getnframes())
+        width = w.getsampwidth()
+    if width == 2:
+        x = np.frombuffer(raw, dtype=np.int16).astype(np.float64) / 32768.0
+    elif width == 4:
+        x = np.frombuffer(raw, dtype=np.int32).astype(np.float64) / 2147483648.0
+    else:
+        raise SystemExit(f"unsupported sample width {width}")
+    if fs != FS:
+        from scipy.signal import resample_poly
+
+        from math import gcd
+
+        g = gcd(FS, fs)
+        x = resample_poly(x, FS // g, fs // g)
+    provenance = "\n".join(
+        [
+            f"Measured RIR imported from {pathlib.Path(wav_path).name} (original fs {fs} Hz).",
+            f"Source/license: {source}",
+            "Conditioning (delay trim to a 32-sample guard, truncation to",
+            f"{TAPS} taps, unit-energy normalization) is documented in the",
+            "generator script.",
+        ]
+    )
+    emit_header(name, condition(x), provenance)
+
+
+def main() -> None:
+    ap = argparse.ArgumentParser(description=__doc__)
+    ap.add_argument("--generate", action="store_true", help="rebuild the modeled rooms")
+    ap.add_argument("--from-wav", nargs=2, metavar=("WAV", "NAME"), help="import a measured RIR")
+    ap.add_argument("--source", default="", help="provenance + license text for --from-wav")
+    args = ap.parse_args()
+    if args.generate:
+        generate_modeled()
+    elif args.from_wav:
+        if not args.source:
+            raise SystemExit("--from-wav requires --source (provenance/license is not optional)")
+        from_wav(args.from_wav[0], args.from_wav[1], args.source)
+    else:
+        ap.print_help()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tools/notebook/build_afc_demo.py b/tools/notebook/build_afc_demo.py
new file mode 100644
index 0000000..0101976
--- /dev/null
+++ b/tools/notebook/build_afc_demo.py
@@ -0,0 +1,708 @@
+#!/usr/bin/env python3
+"""Assemble and execute notebooks/afc_demo.ipynb.
+
+The committed notebook is a build product of this script: every cell's
+source lives here, and running it re-executes everything against the
+current library (the first notebook cell builds the C ABI if needed) and
+overwrites notebooks/afc_demo.ipynb with fresh outputs. Edit THIS file,
+not the .ipynb. Requires: nbformat, nbclient, numpy, matplotlib, cmake.
+
+    python3 tools/notebook/build_afc_demo.py
+"""
+import pathlib
+
+import nbformat as nbf
+from nbclient import NotebookClient
+
+REPO_ROOT = pathlib.Path(__file__).resolve().parents[2]
+
+nb = nbf.v4.new_notebook()
+nb.metadata.kernelspec = {"display_name": "Python 3", "language": "python", "name": "python3"}
+cells = []
+md = lambda s: cells.append(nbf.v4.new_markdown_cell(s))
+code = lambda s: cells.append(nbf.v4.new_code_cell(s))
+
+md("""# MuTap — adaptive feedback cancellation, demonstrated
+
+A microphone and a loudspeaker in the same room form a **closed loop**: the
+speaker plays a processed copy of what the mic picks up, the room feeds it
+back, and past a critical gain the loop rings up into a howl. **MuTap**
+cancels the feedback path with an adaptive filter — but a naive adaptive
+filter is *biased* in a closed loop (the speaker signal is correlated with
+the very source you want to keep), so MuTap uses **PEM prewhitening**
+(FDAF-PEM-AFROW: Rombouts et al. 2007, Gil-Cacho et al. 2014) to remove the
+bias, plus IPC-gated adaptation control to survive real-world transients.
+
+This notebook loads the library through its C ABI (`ctypes`, no Python
+bindings required), runs the same closed-loop simulation as the test suite,
+and *shows* what it does:
+
+1. **Howling** — the loop pushed past its maximum stable gain (MSG)
+2. **The bias problem** — a naive canceller vs the PEM canceller, same loop
+3. **Added stable gain** — the deliverable metric, across program material
+4. **Music** — the frequency-warped predictor vs a low chord, across rooms
+5. **IPC** — the double-talk indicator that gates adaptation
+6. **Bursts** — adaptation control surviving a +20 dB near-end burst
+7. **The Kalman core (v2)** — one update rule replaces every tuning knob
+
+Everything is deterministic (fixed seeds); re-running reproduces every figure.
+""")
+
+code(r'''import ctypes, pathlib, subprocess, sys
+import numpy as np
+import matplotlib.pyplot as plt
+
+REPO = pathlib.Path.cwd().parent if pathlib.Path.cwd().name == "notebooks" else pathlib.Path.cwd()
+CAPI_DIR = REPO / "build" / "tools" / "capi"
+
+def _find_dso():
+    for name in ("libmutap_capi.so", "libmutap_capi.dylib", "mutap_capi.dll"):
+        hits = sorted(CAPI_DIR.rglob(name))
+        if hits:
+            return hits[0]
+    return None
+
+def _run(cmd):
+    r = subprocess.run(cmd, capture_output=True, text=True)
+    if r.returncode != 0:
+        print(r.stdout); print(r.stderr, file=sys.stderr)
+        raise RuntimeError("command failed: " + " ".join(cmd))
+
+DSO = _find_dso()
+if DSO is None:  # build the C ABI shared library on first run
+    _run(["cmake", "-B", str(REPO / "build"), "-S", str(REPO),
+          "-DCMAKE_BUILD_TYPE=Release", "-DMUTAP_BUILD_CAPI=ON"])
+    _run(["cmake", "--build", str(REPO / "build"), "--target", "mutap_capi",
+          "--config", "Release", "-j"])
+    DSO = _find_dso()
+assert DSO is not None, "libmutap_capi not found after build"
+
+_lib = ctypes.CDLL(str(DSO))
+_d, _p, _s = ctypes.c_double, ctypes.POINTER(ctypes.c_double), ctypes.c_size_t
+for fam in ("fdaf", "afc"):
+    getattr(_lib, f"mutap_{fam}_create").restype = ctypes.c_void_p
+    getattr(_lib, f"mutap_{fam}_create").argtypes = [_s, _s, _d, _d, ctypes.c_int, _d]
+    getattr(_lib, f"mutap_{fam}_clone").restype = ctypes.c_void_p
+    getattr(_lib, f"mutap_{fam}_clone").argtypes = [ctypes.c_void_p]
+    getattr(_lib, f"mutap_{fam}_process").argtypes = [ctypes.c_void_p, _p, _p, _p]
+    getattr(_lib, f"mutap_{fam}_impulse_response").argtypes = [ctypes.c_void_p, _p]
+    getattr(_lib, f"mutap_{fam}_filter_length").restype = _s
+    getattr(_lib, f"mutap_{fam}_filter_length").argtypes = [ctypes.c_void_p]
+    getattr(_lib, f"mutap_{fam}_ipc").restype = _d
+    getattr(_lib, f"mutap_{fam}_ipc").argtypes = [ctypes.c_void_p]
+    getattr(_lib, f"mutap_{fam}_set_adaptation").argtypes = [ctypes.c_void_p, ctypes.c_int]
+    getattr(_lib, f"mutap_{fam}_destroy").argtypes = [ctypes.c_void_p]
+
+def _ptr(a):
+    return a.ctypes.data_as(_p)
+
+class Canceller:
+    """ctypes wrapper over one canceller family ("fdaf" = naive, "afc" = PEM)."""
+    def __init__(self, family, block=64, partitions=4, mu=0.0, rel_reg=-1.0,
+                 ipc_scaling=False, transient_ratio=0.0, _handle=None):
+        self.family = family
+        self.h = _handle if _handle is not None else getattr(_lib, f"mutap_{family}_create")(
+            block, partitions, mu, rel_reg, int(ipc_scaling), transient_ratio)
+        assert self.h, "create failed (bad config?)"
+        self.block = block
+    def process(self, u, y):
+        e = np.empty(self.block)
+        getattr(_lib, f"mutap_{self.family}_process")(self.h, _ptr(np.ascontiguousarray(u)),
+                                                      _ptr(np.ascontiguousarray(y)), _ptr(e))
+        return e
+    def impulse_response(self):
+        ir = np.empty(getattr(_lib, f"mutap_{self.family}_filter_length")(self.h))
+        getattr(_lib, f"mutap_{self.family}_impulse_response")(self.h, _ptr(ir))
+        return ir
+    def ipc(self):
+        return getattr(_lib, f"mutap_{self.family}_ipc")(self.h)
+    def freeze(self, frozen=True):
+        getattr(_lib, f"mutap_{self.family}_set_adaptation")(self.h, int(not frozen))
+    def clone(self):
+        c = Canceller(self.family, block=self.block,
+                      _handle=getattr(_lib, f"mutap_{self.family}_clone")(self.h))
+        return c
+    def __del__(self):
+        if getattr(self, "h", None):
+            getattr(_lib, f"mutap_{self.family}_destroy")(self.h)
+
+_lib.mutap_afc_create_warped.restype = ctypes.c_void_p
+_lib.mutap_afc_create_warped.argtypes = [_s, _s, _d, _d, ctypes.c_int, _d, _d, _s]
+
+def naive(**kw):  return Canceller("fdaf", **kw)
+def pem(**kw):    return Canceller("afc", **kw)
+
+def pem_warped(block=64, partitions=4, mu=0.0, rel_reg=-1.0, ipc_scaling=False,
+               transient_ratio=0.0, lam=0.0, order=0):
+    """PEM canceller with the frequency-warped (music/tonal) near-end model.
+    lam = 0 selects the room-robust default (0.5); order 0 -> 16. Pair with
+    ipc_scaling=True — section 4 shows why."""
+    h = _lib.mutap_afc_create_warped(block, partitions, mu, rel_reg, int(ipc_scaling),
+                                     transient_ratio, lam, order)
+    return Canceller("afc", block=block, _handle=h)
+
+_lib.mutap_afc_create_kalman.restype = ctypes.c_void_p
+_lib.mutap_afc_create_kalman.argtypes = [_s, _s, _d, ctypes.c_int, _d, _s]
+
+def pem_kalman(block=64, partitions=4, floor_ratio=0.0, warp=False, lam=0.0, order=0):
+    """PEM canceller on the frequency-domain KALMAN core (v2): no step size,
+    no gating options — see section 7."""
+    h = _lib.mutap_afc_create_kalman(block, partitions, floor_ratio, int(warp), lam, order)
+    return Canceller("afc", block=block, _handle=h)
+
+# ---- plot style: validated categorical palette, fixed entity assignment ----
+C_PEM, C_NAIVE, C_OPEN, C_TRUTH, C_WARPED, C_KAL = "#2a78d6", "#1baf7a", "#eda100", "#52514e", "#008300", "#a333c8"
+plt.rcParams.update({"figure.dpi": 110, "axes.spines.top": False, "axes.spines.right": False,
+                     "axes.grid": True, "grid.alpha": 0.25, "grid.linewidth": 0.6,
+                     "lines.linewidth": 2.0, "font.size": 10})
+print("MuTap C ABI version:", _lib.mutap_version())''')
+
+md(r"""## The closed loop
+
+$$y(n) = v(n) + F(q)\,u(n) \qquad e(n) = y(n) - \hat F(q)\,u(n) \qquad u(n) = K\,e(n-d)$$
+
+The mic signal $y$ is the near-end source $v$ (the talker/instrument — the
+signal we want) plus the room's feedback path $F$ applied to the loudspeaker
+signal $u$. The canceller subtracts its estimate $\hat F(q)\,u$; the forward
+path amplifies the cleaned signal by $K$ with $d$ samples of delay and sends
+it to the speaker. Below: the same deterministic block-synchronous simulation
+the test suite uses — a synthetic 256-tap decaying room response as $F$, and
+the true-path convolution at sample resolution. At 48 kHz the 64-sample
+blocks are 1.3 ms and the 256-tap path is 5.3 ms of room.
+
+The loop's **maximum stable gain** (MSG) without a canceller is bounded by
+$-20\log_{10}\max_\omega|F(\omega)|$; a canceller's job is measured by the
+**added stable gain** (ASG) it buys beyond that.""")
+
+code(r'''FS, BLOCK, PARTS = 48000, 64, 4
+TAPS = BLOCK * PARTS
+
+def decaying_rir(taps=TAPS, seed=5):
+    rng = np.random.default_rng(seed)
+    f = rng.standard_normal(taps) * np.exp(-np.arange(taps) / (taps / 4))
+    return f / np.sqrt(np.sum(f * f))
+
+def white(n, seed):
+    return np.random.default_rng(seed).standard_normal(n)
+
+def tonal(n, seed):
+    """Three incommensurate sinusoids, unit RMS, -40 dB noise floor."""
+    t = np.arange(n)
+    s = np.sqrt(2 / 3) * (np.sin(0.031 * 2 * np.pi * t + 0.1)
+                          + np.sin(0.093 * 2 * np.pi * t + 1.3)
+                          + np.sin(0.171 * 2 * np.pi * t + 2.9))
+    return s + 0.01 * white(n, seed)
+
+def _ar4(x):  # two resonator pole pairs (speech-envelope-like coloring)
+    out = np.empty_like(x)
+    s1 = [0.0, 0.0]; s2 = [0.0, 0.0]
+    a1 = (-2 * 0.97 * np.cos(0.03 * 2 * np.pi), 0.97 ** 2)
+    a2 = (-2 * 0.95 * np.cos(0.11 * 2 * np.pi), 0.95 ** 2)
+    for i, w in enumerate(x):
+        w = w - a1[0] * s1[0] - a1[1] * s1[1]; s1[1], s1[0] = s1[0], w
+        w = w - a2[0] * s2[0] - a2[1] * s2[1]; s2[1], s2[0] = s2[0], w
+        out[i] = w
+    return out
+
+def speech_env(n, seed):
+    x = _ar4(white(n, seed))
+    return x / np.sqrt(np.mean(x * x))
+
+def voiced(n, seed, period=160):
+    exc = np.zeros(n); exc[::period] = np.sqrt(period)
+    x = _ar4(exc + 0.01 * white(n, seed))
+    return x / np.sqrt(np.mean(x * x))
+
+class ClosedLoop:
+    def __init__(self, path, gain_db, block=BLOCK, delay=2 * BLOCK, clip=1000.0):
+        self.f, self.b, self.d, self.clip = np.asarray(path), block, delay, clip
+        self.set_gain_db(gain_db)
+        self.u_hist = np.zeros(len(path) - 1 + block)
+        self.e_hist = np.zeros(delay)
+    def set_gain_db(self, k_db):
+        self.gain = 10 ** (k_db / 20)
+    def step(self, v, canceller=None):
+        b = self.b
+        u = np.clip(np.nan_to_num(self.gain * self.e_hist[:b], posinf=self.clip, neginf=-self.clip),
+                    -self.clip, self.clip)
+        self.u_hist[len(self.f) - 1:] = u
+        y = v + np.convolve(self.u_hist, self.f[::-1], mode="valid")
+        self.u_hist[:len(self.f) - 1] = self.u_hist[b:].copy()[:len(self.f) - 1]
+        e = canceller.process(u, y) if canceller is not None else y.copy()
+        self.e_hist = np.concatenate([self.e_hist[b:], e])
+        return u, y, e
+
+def theoretical_msg_db(f):
+    return -20 * np.log10(np.abs(np.fft.rfft(f, 8192)).max())
+
+def misalignment_db(truth, est):
+    return 10 * np.log10(np.sum((truth - est) ** 2) / np.sum(truth ** 2))
+
+def run_loop(path, gain_db, v, canceller=None, howl_rms=100.0):
+    """Run v through the loop; returns (e trace, block RMS trace, howled)."""
+    loop = ClosedLoop(path, gain_db)
+    blocks = len(v) // BLOCK
+    e_trace = np.empty(blocks * BLOCK); rms = np.empty(blocks); howled = False
+    for k in range(blocks):
+        _, _, e = loop.step(v[k * BLOCK:(k + 1) * BLOCK], canceller)
+        e_trace[k * BLOCK:(k + 1) * BLOCK] = e
+        rms[k] = np.sqrt(np.mean(e * e))
+        howled = howled or rms[k] >= howl_rms
+    return e_trace, rms, howled
+
+def measured_msg_db(path, template, v, lo, hi, tol=0.5):
+    """Bisect the forward gain; each probe runs a fresh clone of `template`."""
+    def howls(k_db):
+        c = template.clone() if template is not None else None
+        return run_loop(path, k_db, v, c)[2]
+    if howls(lo):
+        return lo
+    while hi - lo > tol:
+        mid = 0.5 * (lo + hi)
+        lo, hi = (lo, mid) if howls(mid) else (mid, hi)
+    return lo
+
+F = decaying_rir()
+MSG = theoretical_msg_db(F)
+fig, ax = plt.subplots(figsize=(8, 2.4))
+ax.plot(np.arange(TAPS) / FS * 1000, F, color=C_TRUTH, lw=1.0)
+ax.set_xlabel("time (ms)"); ax.set_ylabel("amplitude")
+ax.set_title(f"the room: synthetic feedback path F (256 taps) — loop MSG bound {MSG:+.1f} dB")
+plt.tight_layout(); plt.show()''')
+
+md("""## 1. Howling
+
+No canceller. The forward gain ramps slowly from 8 dB below the MSG bound to
+6 dB above it. Watch the loop cross from quietly regenerative to screaming:
+the spectrogram collapses to the single loop resonance that wins the race,
+and the level slams into the loudspeaker limiter. This is the failure mode
+everything below exists to prevent — and the measured onset lands where the
+$-20\\log_{10}\\max|F(\\omega)|$ bound says it should.""")
+
+code(r'''BLOCKS_RAMP = 3000
+v = tonal(BLOCKS_RAMP * BLOCK, seed=2)
+gains = np.linspace(MSG - 8, MSG + 4, BLOCKS_RAMP)
+loop = ClosedLoop(F, gains[0])
+e_trace = np.empty(BLOCKS_RAMP * BLOCK); rms = np.empty(BLOCKS_RAMP)
+for k in range(BLOCKS_RAMP):
+    loop.set_gain_db(gains[k])
+    _, _, e = loop.step(v[k * BLOCK:(k + 1) * BLOCK])
+    e_trace[k * BLOCK:(k + 1) * BLOCK] = e
+    rms[k] = np.sqrt(np.mean(e * e))
+
+t_blocks = np.arange(BLOCKS_RAMP) * BLOCK / FS
+t_msg = t_blocks[np.argmax(gains >= MSG)]
+fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 5.2),
+                               gridspec_kw={"height_ratios": [1, 1.4]})
+ax1.semilogy(t_blocks, rms, color=C_OPEN)
+ax1.axvline(t_msg, color=C_TRUTH, ls="--", lw=1)
+ax1.annotate(" gain crosses the MSG bound", (t_msg, rms.max() * 0.3), fontsize=9, color=C_TRUTH)
+ax1.set_ylabel("output RMS"); ax1.set_xlim(0, t_blocks[-1])
+ax1.set_title(f"open loop: forward gain ramped {MSG - 8:+.1f} -> {MSG + 4:+.1f} dB over {t_blocks[-1]:.0f} s")
+ax2.specgram(e_trace, NFFT=512, Fs=FS, noverlap=384, cmap="magma", vmin=-30)
+ax2.axvline(t_msg, color="white", ls="--", lw=1)
+ax2.set_ylim(0, 12000)
+ax2.set_ylabel("frequency (Hz)"); ax2.set_xlabel("time (s)")
+plt.tight_layout(); plt.show()
+onset = gains[np.argmax(rms >= 100)] if (rms >= 100).any() else np.nan
+print(f"howl onset at forward gain {onset:+.1f} dB — MSG bound {MSG:+.1f} dB "
+      "(onset trails the bound slightly: near threshold the ring-up is slow)")''')
+
+md("""## 2. The bias problem — a gain staircase
+
+Both cancellers now adapt inside the loop while the near-end source plays
+**tonal** program material (three steady sinusoids — sustained notes through
+a PA). The loudspeaker signal is a delayed, filtered copy of that near-end
+source, so a **naive** adaptive filter can't tell feedback from music: its
+update is biased toward cancelling the music itself. The **PEM** canceller
+re-fits a near-end model every block (short-term LP + pitch predictor) and
+prewhitens both signals before its update, which removes the bias.
+
+The forward gain steps up every 1.3 s: **MSG − 6 → MSG → MSG + 6 dB**. The
+naive canceller erupts at a gain the bare room handles; the PEM canceller
+rides quietly through a gain 6 dB *above* the open-loop limit — and its room
+estimate *improves* with each step, because a louder loop means more feedback
+signal to identify from. (Neither estimate gets a deep broadband misalignment
+in a closed loop at these gains — the feedback is quiet relative to the music,
+and tonal material only excites the path at a few frequencies. Unbiased
+*tracking* is what buys stable gain, not a one-time perfect fit; the naive
+estimate is worse than having no filter at all, the dotted line.)""")
+
+code(r'''STAGES = [(MSG - 6, 1000), (MSG, 1000), (MSG + 6, 1000)]
+BLOCKS_ID = sum(nb for _, nb in STAGES)
+v = tonal(BLOCKS_ID * BLOCK, seed=2)
+results = {}
+for name, factory, col in (("PEM (mutap::pem_afc)", pem, C_PEM),
+                           ("naive FDAF", lambda: naive(rel_reg=0.0), C_NAIVE)):
+    c = factory()
+    loop = ClosedLoop(F, STAGES[0][0])
+    rms = np.empty(BLOCKS_ID); mis = []
+    k = 0
+    for gain_db, n_blocks in STAGES:
+        loop.set_gain_db(gain_db)
+        for _ in range(n_blocks):
+            _, _, e = loop.step(v[k * BLOCK:(k + 1) * BLOCK], c)
+            rms[k] = np.sqrt(np.mean(e * e))
+            if k % 10 == 0:
+                mis.append(misalignment_db(F, c.impulse_response()))
+            k += 1
+    results[name] = (rms, mis, col)
+
+t = np.arange(BLOCKS_ID) * BLOCK / FS
+edges = np.cumsum([0] + [nb for _, nb in STAGES]) * BLOCK / FS
+fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 5.4), sharex=True,
+                               gridspec_kw={"height_ratios": [1.3, 1]})
+for name, (rms, mis, col) in results.items():
+    ax1.semilogy(t, rms, color=col, label=name, lw=1.5)
+    ax2.plot(np.arange(0, BLOCKS_ID, 10) * BLOCK / FS, mis, color=col, lw=1.5)
+for ax in (ax1, ax2):
+    for edge in edges[1:-1]:
+        ax.axvline(edge, color=C_TRUTH, ls="--", lw=0.8)
+for (gain_db, _), x0, x1 in zip(STAGES, edges[:-1], edges[1:]):
+    ax1.annotate(f"MSG {gain_db - MSG:+.0f} dB", ((x0 + x1) / 2, 2e3), ha="center",
+                 fontsize=9, color=C_TRUTH)
+ax1.axhline(100, color=C_TRUTH, lw=0.8, ls=":")
+ax1.annotate("howl threshold", (0.05, 130), fontsize=8, color=C_TRUTH)
+ax1.set_ylabel("output block RMS (log)")
+ax1.set_title("the gain staircase: same loop, same music, both cancellers adapting")
+ax1.legend(fontsize=9, frameon=False, loc="center left")
+ax2.axhline(0, color=C_TRUTH, lw=0.8, ls=":")
+ax2.annotate("zero filter (no canceller at all)", (0.05, 0.7), fontsize=8, color=C_TRUTH)
+ax2.set_xlabel("time (s)"); ax2.set_ylabel("misalignment (dB)")
+plt.tight_layout(); plt.show()''')
+
+md("""## 3. Added stable gain — the scoreboard
+
+Converge each canceller in the loop at MSG − 6 dB, then bisect the forward
+gain (fresh clone per probe, adaptation live) for the highest gain that does
+not howl. **ASG = that gain minus the open-loop MSG.** Positive: the canceller
+lets you turn the system up beyond what the bare room allows. Negative: the
+canceller is *destabilizing* — worse than nothing. This is the M2/M3 test
+suite's measurement, reproduced: the naive canceller only survives
+uncorrelated (white) near-end; PEM is positive on everything, including the
+tonal and voiced material where naive howls below the open-loop limit.""")
+
+code(r'''MATERIALS = [("white", white), ("speech envelope", speech_env), ("tonal", tonal), ("voiced", voiced)]
+SEARCH_LO, SEARCH_HI = MSG - 12, MSG + 25
+asg = {"PEM": [], "naive": []}
+for mname, gen in MATERIALS:
+    v_conv, v_probe = gen(1500 * BLOCK, 2), gen(400 * BLOCK, 12)
+    for cname, factory in (("PEM", pem), ("naive", lambda: naive(rel_reg=0.0))):
+        c = factory()
+        loop = ClosedLoop(F, MSG - 6)
+        for k in range(1500):
+            loop.step(v_conv[k * BLOCK:(k + 1) * BLOCK], c)
+        asg[cname].append(measured_msg_db(F, c, v_probe, SEARCH_LO, SEARCH_HI) - MSG)
+
+fig, ax = plt.subplots(figsize=(8, 3.4))
+ypos = np.arange(len(MATERIALS), dtype=float)
+for i, (cname, col, off) in enumerate((("PEM", C_PEM, -0.18), ("naive", C_NAIVE, 0.18))):
+    vals = asg[cname]
+    ax.barh(ypos + off, vals, height=0.32, color=col, label=cname)
+    for y, val in zip(ypos + off, vals):
+        floored = " (search floor)" if abs(val - (SEARCH_LO - MSG)) < 0.6 else ""
+        ax.annotate(f"{val:+.1f} dB{floored}", (val, y), va="center", fontsize=8,
+                    ha="left" if val >= 0 else "right",
+                    xytext=(4 if val >= 0 else -4, 0), textcoords="offset points")
+ax.axvline(0, color=C_TRUTH, lw=1)
+ax.set_yticks(ypos, [m for m, _ in MATERIALS]); ax.invert_yaxis()
+ax.set_xlabel("added stable gain vs open loop (dB)")
+ax.set_title("ASG by near-end program material (converged at MSG − 6 dB)")
+ax.legend(fontsize=9, frameon=False, loc="lower right")
+ax.set_xlim(SEARCH_LO - MSG - 4, max(max(asg["PEM"]), max(asg["naive"])) + 5)
+plt.tight_layout(); plt.show()''')
+
+md("""## 4. Music — the frequency-warped predictor, across rooms
+
+The speech cascade's whitening has two engines: a short-term LP for the
+spectral envelope and a single pitch tap for periodicity. A **low chord
+defeats both** — three incommensurate fundamentals share no common period
+(the pitch tap never locks), and a dozen partials packed below 500 Hz are
+too finely spaced for a moderate-order plain LP, whose resolution is spent
+uniformly over frequency (its poles crowd $z=1$, exactly where the
+ridge-guarded analysis is stiffest).
+
+`mutap::warped_lpc_predictor` replaces every unit delay in the predictor
+with a first-order allpass, warping the frequency axis so the same order
+concentrates its resolution in the bass ($\lambda = 0.766$ approximates
+the Bark scale at 48 kHz; the room-robust default is $\lambda = 0.5$,
+order 16). The whitening filter stays feed-forward — a tapped allpass
+chain, unconditionally stable — and at $\lambda = 0$ the whole predictor
+collapses exactly to plain LP.
+
+One room is not an evaluation. A single-room comparison flattered the
+warped predictor badly (the first cut of this section did exactly that),
+so below both cancellers converge on the chord in **three different
+rooms** — and the warped predictor runs **with and without IPC-scaled
+stepping**. That switch is the finding: the warped whitener notches the
+partials so hard that on some rooms the converged update *runs away* — it
+builds a spurious resonance in the partial band that live adaptation
+reinforces, and the loop howls far **below** the open-loop MSG (room C:
+the bar is pinned at the −15 dB search floor). IPC scaling suppresses
+exactly that update — error power no longer coherent with the input — and
+with it the warped canceller is the strongest option in every room tried
+(eleven rooms across this notebook's generator family and the C++ test
+suite's: ASG +7.2…+11.3 dB, no collapse anywhere).""")
+
+code(r'''def music(n, seed):
+    """Low A-major chord: A1/C#2/E2 fundamentals, 4 harmonics each at 1/h,
+    -40 dB noise floor, unit RMS (an implied 48 kHz)."""
+    rng = np.random.default_rng(seed)
+    f0 = np.array([55.0, 69.296, 82.407]) / FS
+    phase = np.array([[0.1, 1.9, 4.2, 0.7], [2.3, 5.1, 1.4, 3.8], [0.9, 3.3, 5.7, 2.2]])
+    t = np.arange(n)
+    x = sum((1.0 / h) * np.sin(2 * np.pi * f0[voice] * h * t + phase[voice][h - 1])
+            for voice in range(3) for h in range(1, 5))
+    x = x + 0.01 * rng.standard_normal(n)
+    return x / np.sqrt(np.mean(x * x))
+
+ROOMS = [("room A (seed 5)", 5), ("room B (seed 7)", 7), ("room C (seed 8)", 8)]
+CONFIGS = [("warped + IPC step scaling", lambda: pem_warped(ipc_scaling=True), C_WARPED),
+           ("warped, plain stepping", lambda: pem_warped(), "#8fce8f"),
+           ("speech cascade", lambda: pem(), C_PEM)]
+v_conv, v_probe = music(1500 * BLOCK, 2), music(600 * BLOCK, 12)
+asg_m = {cname: [] for cname, _, _ in CONFIGS}
+for rname, seed in ROOMS:
+    Fr = decaying_rir(seed=seed)
+    msg_r = theoretical_msg_db(Fr)
+    for cname, factory, _ in CONFIGS:
+        c = factory()
+        loop = ClosedLoop(Fr, msg_r - 6)
+        for k in range(1500):
+            loop.step(v_conv[k * BLOCK:(k + 1) * BLOCK], c)
+        asg_m[cname].append(measured_msg_db(Fr, c, v_probe, msg_r - 15, msg_r + 25) - msg_r)
+
+fig, ax = plt.subplots(figsize=(8, 3.6))
+ypos = np.arange(len(ROOMS), dtype=float)
+for (cname, _, col), off in zip(CONFIGS, (-0.26, 0.0, 0.26)):
+    vals = asg_m[cname]
+    ax.barh(ypos + off, vals, height=0.22, color=col, label=cname)
+    for y, val in zip(ypos + off, vals):
+        if val <= -14.9:  # pinned at the bisection search floor: label inside the bar
+            ax.annotate("howls below the -15 dB search floor", (val, y), va="center",
+                        ha="left", fontsize=8, color="white", fontweight="bold",
+                        xytext=(6, 0), textcoords="offset points")
+        else:
+            ax.annotate(f"{val:+.1f} dB", (val, y), va="center", fontsize=8,
+                        ha="left", xytext=(4, 0), textcoords="offset points")
+ax.axvline(0, color=C_TRUTH, lw=1)
+ax.set_yticks(ypos, [r for r, _ in ROOMS]); ax.invert_yaxis()
+ax.set_xlabel("added stable gain vs open loop (dB) — low-chord near-end")
+ax.set_title("the warped predictor needs IPC-scaled stepping — and then wins in every room")
+ax.legend(fontsize=8, frameon=False, loc="upper left")
+plt.tight_layout(); plt.show()''')
+
+md("""And the control in the other direction: the same warped + IPC
+canceller on the **speech-envelope** material the cascade was built for —
+no collapse there either (the C++ suite measures +13.8 dB ASG on its
+reference room, more headroom than the cascade itself).""")
+
+code(r'''c = pem_warped(ipc_scaling=True)
+loop = ClosedLoop(F, MSG - 6)
+v_conv_s = speech_env(1500 * BLOCK, 2)
+for k in range(1500):
+    loop.step(v_conv_s[k * BLOCK:(k + 1) * BLOCK], c)
+asg_ctl = measured_msg_db(F, c, speech_env(600 * BLOCK, 12), MSG - 15, MSG + 25) - MSG
+print(f"warped + IPC on speech-envelope material, notebook room: ASG {asg_ctl:+.1f} dB")''')
+
+md("""## 5. IPC — knowing when to adapt
+
+The **instantaneous pseudo-correlation** (Gil-Cacho et al. 2014) is MuTap's
+double-talk indicator: a chance-corrected coherence estimating the *fraction
+of error power still coherent with the loudspeaker signal*. High = the error
+is unmodeled feedback (informative — adapt hard). Low = the error is the
+near-end source (adapting would inject bias — hold). It comes almost free
+from spectra the FDAF already has.
+
+Left: an open-loop echo canceller converging, then hit with double-talk.
+Right: the 2014 paper's headline, reproduced in the feedback loop — PEM
+prewhitening collapses the correlation that biases the naive update.""")
+
+code(r'''# left: open-loop AEC — echo only, then double-talk
+u = white(480 * BLOCK, 1); talk = white(480 * BLOCK, 9)
+d = np.convolve(u, F)[:len(u)]
+c = naive()
+ipc_trace = np.empty(480)
+for k in range(480):
+    sl = slice(k * BLOCK, (k + 1) * BLOCK)
+    desired = d[sl] + (3.0 * talk[sl] if k >= 400 else 0.0)
+    c.process(u[sl], desired)
+    ipc_trace[k] = c.ipc()
+
+# right: mean IPC inside the tonal closed loop, naive raw pair vs PEM prewhitened pair
+loop_ipc = {}
+v = tonal(600 * BLOCK, 2)
+for name, c2 in (("naive\n(raw pair)", naive(rel_reg=0.0)), ("PEM\n(prewhitened)", pem())):
+    loop = ClosedLoop(F, MSG - 6)
+    vals = []
+    for k in range(600):
+        loop.step(v[k * BLOCK:(k + 1) * BLOCK], c2)
+        if k >= 100:
+            vals.append(c2.ipc())
+    loop_ipc[name] = np.mean(vals)
+
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 3.2), gridspec_kw={"width_ratios": [2.2, 1]})
+t = np.arange(480) * BLOCK / FS
+ax1.plot(t, ipc_trace, color=C_PEM)
+ax1.axvspan(400 * BLOCK / FS, 480 * BLOCK / FS, color=C_TRUTH, alpha=0.12)
+ax1.annotate("echo only:\nIPC high while unconverged,\nfalls as the filter learns", (0.08, 0.62), fontsize=9)
+ax1.annotate("double-talk: near-end floods the error,\nIPC stays low (a gate would hold)", (0.40, 0.45), fontsize=9)
+ax1.set_xlabel("time (s)"); ax1.set_ylabel("IPC"); ax1.set_ylim(-0.03, 1.03)
+ax1.set_title("open-loop echo canceller")
+names = list(loop_ipc)
+ax2.bar(names, [loop_ipc[n] for n in names], color=[C_NAIVE, C_PEM], width=0.55)
+for i, n in enumerate(names):
+    ax2.annotate(f"{loop_ipc[n]:.2f}", (i, loop_ipc[n]), ha="center", va="bottom", fontsize=9)
+ax2.set_ylim(0, 1); ax2.set_ylabel("mean IPC in the loop")
+ax2.set_title("tonal closed loop")
+plt.tight_layout(); plt.show()''')
+
+md("""## 6. Surviving bursts
+
+Real rooms have door slams and fortissimo entrances. Here the tonal near-end
+jumps **+20 dB for 50 blocks** (67 ms) while the PEM canceller sits converged
+in the loop. Ungated, those blocks have terrible update SNR: the filter is
+wrecked, the loop rings up, and it takes seconds to recover. With M4's
+adaptation control — the IPC-scaled step plus the instantaneous transient
+gate — the canceller simply *holds* through the burst.""")
+
+code(r'''def burst_run(gated):
+    kw = dict(ipc_scaling=True, transient_ratio=4.0) if gated else {}
+    c = pem(**kw)
+    loop = ClosedLoop(F, MSG - 6)
+    v = tonal(1700 * BLOCK, 2)
+    rms = np.empty(1700)
+    for k in range(1700):
+        vb = v[k * BLOCK:(k + 1) * BLOCK] * (10.0 if 1500 <= k < 1550 else 1.0)
+        _, _, e = loop.step(vb, c)
+        rms[k] = np.sqrt(np.mean(e * e))
+    return rms
+
+rms_open = burst_run(gated=False)
+rms_gated = burst_run(gated=True)
+t = np.arange(1700) * BLOCK / FS
+fig, ax = plt.subplots(figsize=(8, 3.4))
+ax.semilogy(t, rms_open, color=C_NAIVE, label="no gating")
+ax.semilogy(t, rms_gated, color=C_PEM, label="IPC step scaling + transient gate")
+ax.axvspan(1500 * BLOCK / FS, 1550 * BLOCK / FS, color=C_TRUTH, alpha=0.12)
+ax.annotate("+20 dB burst", (1500 * BLOCK / FS, rms_open.max() * 1.1), fontsize=9)
+ax.set_xlim(1400 * BLOCK / FS, 1700 * BLOCK / FS)
+ax.set_xlabel("time (s)"); ax.set_ylabel("output block RMS (log)")
+ax.set_title("a near-end burst hits the converged canceller")
+ax.legend(fontsize=9, frameon=False)
+plt.tight_layout(); plt.show()
+print(f"worst block RMS through the burst: ungated {rms_open[1500:1650].max():,.0f}, "
+      f"gated {rms_gated[1500:1650].max():,.1f}")''')
+
+md(r"""## 7. The v2 core — a frequency-domain Kalman filter
+
+Everything above runs on an NLMS update dressed with the M4 control stack:
+a hand-picked step size $\mu$, IPC-scaled stepping, variable
+regularization, a transient gate. The **partitioned-block frequency-domain
+Kalman filter** (Enzner & Vary 2006; Bernardi et al.'s PEM variant)
+replaces all of it with two tracked quantities: a per-bin **state
+uncertainty** $P$ (how wrong might my filter be here?) and a per-bin
+**near-end PSD** $\Psi_s$ (how much of the error is signal I must not
+chase?). The gain $P\,U^*/(\sum_q|U_q|^2P_q + \Psi_s)$ is then everything the
+knobs approximated: large while unconverged, small when converged, small
+when the near-end dominates — automatically, per bin.
+
+Below, the section-3 scoreboard re-run with the Kalman core (same loop,
+same material, same probe; **zero adaptation-control config**): broadband
+and voiced ASG roughly double; tonal gives a few dB back to the tuned
+stack on this room (on the C++ suite's room the two are at parity and the
+Kalman's speech/white runs saturate that probe's +25 dB ceiling —
+chaotic room-to-room variance cuts both ways). The C++ suite closes the
+loop on the section-4 story too: warped+Kalman measures +8.4…+13.1 dB
+across the five rooms — and the speech cascade +11.6…+13.4, *including*
+the room where its NLMS incarnation destabilizes — with no IPC pairing at
+all.""")
+
+code(r'''asg_k = []
+for mname, gen in MATERIALS:
+    v_conv, v_probe = gen(1500 * BLOCK, 2), gen(600 * BLOCK, 12)
+    c = pem_kalman()
+    loop = ClosedLoop(F, MSG - 6)
+    for k in range(1500):
+        loop.step(v_conv[k * BLOCK:(k + 1) * BLOCK], c)
+    asg_k.append(measured_msg_db(F, c, v_probe, SEARCH_LO, SEARCH_HI) - MSG)
+
+fig, ax = plt.subplots(figsize=(8, 3.4))
+ypos = np.arange(len(MATERIALS), dtype=float)
+for cname, vals, col, off in (("Kalman-PEM (v2)", asg_k, C_KAL, -0.18),
+                              ("NLMS-PEM (M3/M4)", asg["PEM"], C_PEM, 0.18)):
+    ax.barh(ypos + off, vals, height=0.32, color=col, label=cname)
+    for y, val in zip(ypos + off, vals):
+        ceil = " (probe ceiling)" if val >= (SEARCH_HI - MSG) - 0.6 else ""
+        ax.annotate(f"{val:+.1f} dB{ceil}", (val, y), va="center", fontsize=8,
+                    ha="left" if val >= 0 else "right",
+                    xytext=(4 if val >= 0 else -4, 0), textcoords="offset points")
+ax.axvline(0, color=C_TRUTH, lw=1)
+ax.set_yticks(ypos, [m for m, _ in MATERIALS]); ax.invert_yaxis()
+ax.set_xlabel("added stable gain vs open loop (dB)")
+ax.set_title("the Kalman core vs the tuned NLMS stack — no knobs vs all the knobs")
+ax.legend(fontsize=9, frameon=False, loc="lower right")
+plt.tight_layout(); plt.show()''')
+
+md("""And the section-6 burst, revisited. Ungated, the Kalman bounds the
+hit (the noise-PSD estimate catches up within a few blocks) and the
+estimate *survives* — where the ungated NLMS was wrecked. The opt-in
+transient floor (`floor_ratio=8`) contains it to — here, below — the M4
+gate's level; it
+defaults off because the same reflex that absorbs a burst throttles the
+ring-up that live re-convergence must consume — a measured ~2–6 dB ASG
+cost on tonal material.""")
+
+code(r'''def burst_run_kalman(floor_ratio):
+    c = pem_kalman(floor_ratio=floor_ratio)
+    loop = ClosedLoop(F, MSG - 6)
+    v = tonal(1700 * BLOCK, 2)
+    rms = np.empty(1700)
+    for k in range(1700):
+        vb = v[k * BLOCK:(k + 1) * BLOCK] * (10.0 if 1500 <= k < 1550 else 1.0)
+        _, _, e = loop.step(vb, c)
+        rms[k] = np.sqrt(np.mean(e * e))
+    return rms
+
+rms_k = burst_run_kalman(0.0)
+rms_kf = burst_run_kalman(8.0)
+t = np.arange(1700) * BLOCK / FS
+fig, ax = plt.subplots(figsize=(8, 3.4))
+ax.semilogy(t, rms_open, color=C_NAIVE, alpha=0.5, label="NLMS, no gating (wrecked)")
+ax.semilogy(t, rms_k, color=C_KAL, label="Kalman, no options")
+ax.semilogy(t, rms_kf, color=C_PEM, label="Kalman, transient floor 8 (opt-in)")
+ax.axvspan(1500 * BLOCK / FS, 1550 * BLOCK / FS, color=C_TRUTH, alpha=0.12)
+ax.set_xlim(1400 * BLOCK / FS, 1700 * BLOCK / FS)
+ax.set_xlabel("time (s)"); ax.set_ylabel("output block RMS (log)")
+ax.set_title("the same +20 dB burst against the Kalman core")
+ax.legend(fontsize=9, frameon=False)
+plt.tight_layout(); plt.show()
+print(f"worst block RMS through the burst: NLMS ungated {rms_open[1500:1650].max():,.0f}, "
+      f"Kalman {rms_k[1500:1650].max():,.0f}, Kalman+floor {rms_kf[1500:1650].max():,.1f}")''')
+
+md("""## Where this goes next
+
+- The same float core runs unchanged on the embedded targets (Cortex-M55 /
+  Hexagon) — the plan and milestones live in [`HANDOFF.md`](../HANDOFF.md).
+- Every number in this notebook is locked down as a regression test in
+  [`tests/`](../tests): the closed-loop harness, the M2 naive-bias baseline,
+  the M3 PEM pass criteria, and the M4 adaptation-control behavior.
+- The Kalman core is selectable wherever the NLMS core is:
+  `mutap::pem_afc<Sample, Predictor, mutap::partitioned_fdkf<Sample>>`.
+- The Max/MSP external (`mutap.defeed~`, in
+  [MuTap-Max](https://github.com/tap/MuTap-Max)) wraps `mutap::pem_afc`
+  exactly as driven here; its `@warp` attribute selects the frequency-warped
+  near-end model demonstrated above (and enables the IPC step scaling it
+  requires).
+
+**Papers:** Rombouts, van Waterschoot & Moonen, *JAES* 55(11), 2007
+(PEM-AFROW) · Gil-Cacho, van Waterschoot, Moonen & Jensen, *IEEE/ACM TASLP*
+22(12), 2014 (FDAF-PEM-AFROW, IPC) · van Waterschoot & Moonen, *Proc. IEEE*
+99(2), 2011 (the 50-year survey).""")
+
+nb.cells = cells
+client = NotebookClient(nb, timeout=1200, kernel_name="python3",
+                        resources={"metadata": {"path": str(REPO_ROOT / "notebooks")}})
+client.execute()
+nbf.write(nb, str(REPO_ROOT / "notebooks" / "afc_demo.ipynb"))
+print("notebook executed and written")