Mimir/state/map.yaml

workspace:
  name: Mimir
  status: active
  focus: direct-driver-fensalir-stream-app
  implementation_name: Mimir public surface / native runtime contracts
  premise: >
    Mimir is the local realtime field machine: cameras, microphones, speakers,
    network feeds, and timing signals become one coherent OBS-facing volumetric
    program surface. The live path is a C# Fensalir-hosted app with in-memory
    rolling buffers and native capture/runtime boundaries.

objective:
  primary: >
    Build one synchronized spatial stream machine from six cameras, six
    microphones, two speakers, Leap timing, Fensalir GPU rendering, Faust DSP,
    and OBS output.
  current: >
    Promote the active bioacoustic packet-song receiver into runtime state:
    self-identifying song contours should pin multiple time/frequency anchors
    per heard call, learn per-path response, and drive the audio actuator while
    direct camera/audio capture continues feeding Mimir.Runtime buffers.

constraints:
  - Sender is Windows.
  - Receiver uses OBS.
  - Video encode must use NVENC when the bridge path is active.
  - Audio sources must remain separately controllable in OBS.
  - V1 bridge is LAN-only.
  - Persistent state must clarify rehydrate, not become transcript tax.
  - Live ingest belongs to Mimir.Runtime, native drivers, Fensalir, and
    Faust/native DSP.
  - Edge JSON is schema/diagnostic only; live process data is typed or in
    memory.
  - Networked feeds are producers into the live runtime, not independent clock
    authorities.
  - Mimir explicitly trades latency and memory for throughput and field quality:
    the default five-second buffer is compute budget for stream alignment,
    GPU/audio analysis, and volumetric sound-field extraction.

invariants:
  - OBS composition authority stays in OBS.
  - FFmpeg owns capture, encoding, and transport only for bridge utilities.
  - One stable bridge port equals one OBS source endpoint.
  - One rolling live window owns the timing edge and expiry.
  - The rolling window is not accidental latency. It must preserve enough time
    to line up feeds and crunch data before OBS-facing output is emitted.
  - Typed views may index the rolling buffer, but no per-kind ring owns
    retention.
  - Fensalir owns production UI, GPU fusion, D3D12 interop, and Spout2 output.
  - Faust/native DSP owns hot audio alignment, separation, spatialization, and
    stems.
  - Local secrets remain untracked.
  - Mimir is a CultMesh app. Codebooks, schedules, calibration receipts, path
    response, and compute-offload work need typed mesh-syncable state surfaces
    so phones, microcontrollers, Raven, and Starfire can cooperate without
    becoming independent timing authorities.

accepted_design:
  - `Mimir.slnx` owns the app surface.
  - `src/Mimir.App` launches Fensalir as host/window/D3D12 library.
  - `src/Mimir.Runtime` owns `MimirSynchronizationHub`,
    `MimirRollingStreamBuffer`, stream descriptors, `IMimirStreamSource`,
    direct native ingest, process bridge ingest, and video capture driver seams.
  - `MimirVideoFrameDescriptor` carries width, height, pixel format, stride,
    device timestamp, and optional native/GPU handle.
  - `MimirAudioBlockDescriptor` carries sample rate, channels, sample format,
    frame count, timestamp, and optional native handle.
  - `MimirFrameEventProcessStreamSource` is a temporary diagnostic adapter for
    JSON-line video frame and audio block metadata from native probes into
    runtime rolling buffers; it does not carry pixels/audio payloads or own the
    final local-device hot path.
  - `MimirBioacousticTimeline` is the active runtime watermark. It renders a
    low-gain birdsong-like word language with 128 self-identifying word
    positions, left-speaker and right-speaker variants, four formant-rich
    syllables per word, rhythm variation, and direct word identity instead of a
    de Bruijn grammar. The active receiver is a song-contour anchor machine:
    one heard call should expose syllable timing, contour bends, formants,
    payload ornaments, speaker tint, and log-mel evidence as a cluster of
    time/frequency anchors. `MimirRuntime` emits separate panned vocabularies
    per speaker. `MimirAudioSynchronizationAnalyzer` reports active timing as
    `evidence=bioacoustic`; the old chirp-bin path remains a
    calibration/reference artifact with ASIO tooling.
  - The diagnostic audio path can optionally carry base64 float sample payloads
    for sync smoke tests. `MimirChirpletTimeline` owns the older structured
    chirplet reference fingerprint: an order-3 de Bruijn sequence over 32
    time/frequency constellation symbols, plus PCM segment rendering, matched
    timing atoms, symbol/event decoding, and per-band response kernels. Symbol
    identity is carried by start band, glide shape, duration, and following
    inter-chirp gap. Any three consecutive correctly detected symbols identify a
    timeline event within the current operating horizon. `MimirChirpletSymbolCodebook`
    owns the 32 symbol definitions so every symbol has a unique chirp shape, with
    rhythm as additional evidence. `MimirChirpletStreamDecoder` is the first
    constrained chirplet-transform receiver: it owns a bounded PCM window, emits
    transform frames with multiple phase-invariant symbol candidates and refined
    per-candidate sample offsets, decodes code-valid triplet anchors through
    gap/clock coherence, and fits a per-source sample clock from those anchors.
    Its synthetic smoke path is `dotnet run --project
    .\src\Mimir.BufferSmoke\Mimir.BufferSmoke.csproj -- --chirplet-self-test`.
    It currently decodes all 15 emitted chirps in a two-second window into 13
    anchors for events 0-12 with a 47999.999990 Hz clock fit and 0.000014 sample
    MAE. `MimirAudioSynchronizationAnalyzer`
    now treats `loopback-scarlett-speakers` as timing authority and derives
    delay only from matched decoded timeline anchors. Positive delay means
    the candidate mic is late relative to loopback. Reports include rounded
    delay, fractional delay, confidence, and per-band matched energy. `MimirSynchronizationHub`
    caches the latest per-source reports and `MimirAudioSynchronizationStateTracker`
    owns the smoothed per-source belief: latest delay, smoothed delay,
    confidence, per-band response evidence, and delay-slope/SRO estimate in
    ppm. `MimirRuntime` now runs this analysis online as a bounded rotating
    service on a fixed cadence, while UI and telemetry read cached reports/states
    instead of invoking analysis. `MIMIR_SYNC_TELEMETRY_SECONDS` prints live
    buffer/report/state telemetry. `MimirAudioSynchronizationSettings.Mode`
    now owns the active evidence policy: `chirp-only` emits the calibration
    witness, `passive` stays silent and uses program-audio phase correlation,
    and `hybrid` emits active pilot chunks only while passive confidence is
    weak. `MimirPassiveAudioSynchronizationEstimator` is the first passive path:
    it uses PHAT-weighted cross-spectrum correlation between loopback and mic
    windows before any watermark is needed. Negative passive lags are
    contradictory evidence and carry zero confidence; single-window passive
    confidence is capped below certainty until repeated state earns it.
    `MimirBioacousticTimeline` is now the active calibration witness for both
    chirp-only and hybrid: 128 self-identifying word positions, left/right
    speaker variants, four formant-rich syllables per word, rhythm variation,
    and direct word identity so any correctly decoded word identifies one
    canonical timeline location. The analyzer refines final active delay with constrained local
    waveform correlation around the decoded anchor delay. Each detected motif
    carries per-band response evidence, and the next calibration cut should use
    those profiles to tune contours, formants, usable bands, gain, and rhythm
    weighting. `Mimir.BufferSmoke --bioacoustic-cepstral-smoke` now proves the
    non-brute-force receiver direction: degraded mel-cepstral calls are decoded
    by an augmented MFCC/projection-hash word index before any expensive
    confirmation. `Mimir.BufferSmoke --bioacoustic-train` now runs a
    receipt-backed hypothesis panel over indexed cepstral decoder shapes and
    writes typed CultCache results plus pre-warp/post-warp/reconstructed WAV
    artifacts under `artifacts/bioacoustic-training/`. The first receipt
    `bioacoustic-20260524-103438` showed compact indexing fastest on clean
    audio and exposed timing error under domain warp. The corrected receipt
    `bioacoustic-20260524-150729` adds global clock hypothesis scoring over a
    longer window; compact indexing wins clean throughput, baseline indexing
    remains steadier under degradation, highband indexing has warped-path value,
    and anchor density needs its own metric. `MimirChirpBinTimeline` remains the controlled chirp-bin
    calibration/reference artifact with ASIO tooling and
    `MimirChirpBinCalibrationModel`; keep those captures as response evidence,
    not the active runtime sound. Reports and sync states expose delay in
    microseconds as well as fractional samples. Hybrid emits the bioacoustic
    witness as low-gain half-second bursts while passive confidence is weak,
    never as catch-up backlog. The analyzer no longer applies the passive
    two-second window floor to active fallback; `dotnet run --project
    .\src\Mimir.BufferSmoke\Mimir.BufferSmoke.csproj -- --chirp-only-sync-self-test --sample-rate 48000`
    recovers a 317.375-sample synthetic delay with printed 0.000 us error using
    `evidence=bioacoustic`, while `--hybrid-sync-self-test --sample-rate 48000`
    correctly accepts strong passive evidence at 2.772 us error. The synthetic
    standalone receiver proof `--standalone-bioacoustic-self-test --sample-rate
    48000 --delay-samples 1269.5` recovers delayed source time below printed
    microsecond precision using only the codebook/schedule. `--bioacoustic-actuator-self-test
    --sample-rate 48000 --delay-samples 317.375` now proves the first
    measurement-to-sample-movement loop: estimate bioacoustic delay, apply
    fractional correction, and remeasure residual below printed microsecond
    precision. `faust/mimir_alignment_actuator.dsp` is the first Faust-owned
    actuator surface for six channels of bounded fractional delay/gain. The synthetic
    codebook proof is `dotnet run --project
    .\src\Mimir.BufferSmoke\Mimir.BufferSmoke.csproj -- --bioacoustic-self-test`.
    `Mimir.BufferSmoke --render-chirp-bin-f32` plus
    `native/probes/asio_audio_cadence --play-f32-mono --record-f32-interleaved`
    now provides a real Scarlett ASIO artifact proof for active mode. At 192 kHz,
    Loopback 1 -> Loopback 2 decoded at 0.000 us with 12 anchors and 0.999
    confidence. `Mimir.BufferSmoke --calibrate-chirp-bin-asio-f32` now renders
    or ingests a calibration capture and persists the response/confusion/delay
    model under `calibration/chirp-bin/`; `--analyze-asio-f32 --calibration`
    loads it back into the chirp-bin reference decoder. Physical inputs still fail accepted
    pairwise timing against loopback in the stored artifact, but decoded mic
    channels now leave calibration models; physical input 1 produced two reliable
    symbols and a different strongest measured band set.
    `native/asio_capture` and `MimirAsioStreamSource` are now the runtime
    Scarlett path: Focusrite ASIO callbacks feed sample-bearing 192 kHz Float32
    blocks into `Mimir.Runtime` in process. `config/mimir-runtime.asio.example.json`
    proves continuous ASIO runtime ingest: a two-second BufferSmoke run at
    192 kHz ingested more than 12,000 sample-bearing blocks across `asio-ch0`
    through `asio-ch3` and retained 2,048 blocks per channel, all from the
    Focusrite ASIO callback stream.
    `Mimir.BufferSmoke --calibrate-contestant-asio-f32` now persists the active
    packet-song physical response model under `calibration/bioacoustic/`,
    including per-channel delay search, polarity, payload reliability,
    response-normalization bands, gain, confidence, and pairwise propagation
    delay. The latest canary-packet Scarlett receipt runs at 10.7x realtime
    across four 192 kHz channels: loopback is 37/37 with 2.524 us MAE,
    co-streamer shotgun is 37/37 payload with 58.785 us MAE, and the cardioid
    is 26/37 with 90.558 us MAE. This is a serious calibration surface, not yet
    true physical microsecond sync.
    A fresh 192 kHz room receipt at
    `calibration/bioacoustic/scarlett-canary-packet-192k-contour-fresh.json`
    keeps loopback at 2.524 us MAE, improves the co-streamer shotgun to 37/37
    payload with 34.083 us MAE, and improves the cardioid to 31/37 payload
    with 92.996 us MAE. The next precision cut is intra-call contour anchors,
    not more sequence machinery.
    `calibration/bioacoustic/scarlett-canary-packet-anchor-rich-192k.json`
    is the first anchor-rich receipt: timing chips, formant pivots,
    harmonic-envelope notches, payload ornaments, renderer template caching, and
    per-event intra-call anchor measurements. It clears 10x realtime and
    improves loopback to about 2.23 us MAE, but physical mics regress/hold at
    tens of microseconds, so anchor survivability and path weighting are now the
    problem.
    Path-level loopback truth now compares candidate mic anchors directly
    against loopback anchors, then refines delay with event-local waveform
    correlation against the captured loopback packet. On the stored anchor-rich
    capture, Release calibration runs at 21.1x realtime and improves physical
    path precision to 7.576 us for the cardioid and 6.578 us for the shotgun.
    A fresh room capture keeps the shotgun near 5.916 us but worsens the
    cardioid to 18.930 us. The one-microsecond target remains open; next cut is
    phase/group-delay correction or a better direct-path anchor family. A naive
    recursive waveform phase-lock pass was tested and reverted because it could
    improve one cardioid receipt while worsening the shotgun and locking a fresh
    cardioid run onto a later reflection lobe. Recursion is only allowed back as
    a constrained direct-path/group-delay model, not as unconstrained waveform
    resampling with prettier decimals. The sonar/DSP research note
    `research/sonar-dsp-recursive-refinement-2026-05-25.md` points the next
    decoder cut at complex contour matched filters, phase-slope/group-delay
    fitting, acquisition/tracking loop bandwidths, and sparse multipath
    residuals. Its source ledger and local mirrors live under
    `research/sonar-dsp-recursive-refinement-2026-05-25/`.
    `MimirComplexContourMatchedFilterBank` and `MimirDirectPathTracker` are the
    first implementation slice of that shape: complex anchor responses keep
    multiple lobes, the current path prediction gates direct-path ownership, and
    later coherent clusters are reported as reflection taps. Synthetic 192 kHz
    reflection smoke currently lands about 5.249 us from expected delay; stored
    Scarlett shotgun receipts land within about 5.860 us and 7.247 us of seeded
    path fits, while cardioid receipts land within about 15.817 us and 8.963 us.
    Low confidence is expected until phase/group-delay surfaces are learned. The
    tracker now exposes per-band delay/phase residual observations and a
    `MimirDirectPathChannelModel` correction surface for multi-window
    calibration; one-window self-correction is not live authority. The tracker
    now consumes explicit channel models as phase/group-delay correction and
    downweights bands outside the learned usable surface. `Mimir.BufferSmoke
    --learn-complex-contour-channel-model` persists
    `calibration/bioacoustic/complex-contour-channel-model.json` from the
    replay panel, and `--evaluate-complex-contour-channel-model` persists
    `calibration/bioacoustic/complex-contour-channel-model-evaluation.json`.
    Current evaluation improves 3/4 absolute path-seed errors and lowers mean
    direct-cluster MAE; the fresh cardioid case reaches about 0.202 us from
    seed, while the stored cardioid case still worsens to about 17.476 us. The
    model is explicit calibration evidence, not default runtime authority.
    The complex contour receiver is now wired into runtime as an explicit live
    lane: when `enableComplexContourRuntime` is true, Mimir emits the configured
    `bioacousticWitnessProfileId` through `MimirBioacousticContestantRenderer`,
    loads `complexContourChannelModelPath`, extracts Float32 windows from the
    rolling buffers, and publishes `evidence=complex-contour` reports. The
    synthetic runtime-shaped proof `--complex-contour-runtime-self-test` at
    192 kHz recovers a 693.5-sample delay with about 0.219 us error.
    A fresh live Scarlett proof is preserved at
    `calibration/bioacoustic/complex-contour-live-20260525-063229.md`:
    Focusrite ASIO playback/capture measured Loopback 1 -> Loopback 2 at
    -0.014 us with corrected confidence 0.971. The apparent `asio-ch0`
    near-seed/cardioid estimate is invalidated: signal inspection shows flat
    low-level noise with zero-lag loopback correlation 0.000032, so the tracker
    fit noise under seeded timing pressure. `asio-ch1` remains only a weak,
    non-authoritative input witness. The next cut is signal-presence gating,
    independent path truth, and better frequency/direct-path discrimination.
    `calibration/bioacoustic/complex-contour-replay-panel.json` persists the
    current four-case replay receipt.
    Acoustic robustness remains open.
    The old arbitrary-chirplet matcher is a diagnostic/reference artifact only,
    not the runtime hot path.
  - `IMimirVideoCaptureDriver` and `MimirVideoCaptureDriverSource` are the live
    seam for Leap, Media Foundation, DirectShow, libusb, LeapC, or shared
    texture capture.
  - `native/reservoir` owns the lower shared-edge rolling-buffer invariant for
    Fensalir/Faust integration.
  - `config/perfect-machine.example.json` declares live owners, sensors,
    reservoir views, and runtime policy.
  - `src/Mimir.Runtime/Synchronization` now includes the Perfect Machine module
    library distilled from the research notes: node profiles, decoder/language
    profiles, path learning, benchmark panels, actuator strategies, capture and
    ingest strategies, reservoir strategies, field profiles, compute offload,
    OBS publication, CultMesh contracts, Fensalir lowering, and exportable
    manifest generation.
  - `docs/perfect-machine-module-library.md` indexes those reusable runtime
    modules and their smoke commands.
  - `docs/code-algorithm-map.md` is the source-level ownership and algorithm map
    for the current repo code surface.
  - `docs/perfect-machine-domain-index.md` indexes Mimir's full problem domain,
    current evidence taxonomy, hot paths, and implementation cuts.
  - `research/perfect-machine-study-2026-05-23/` preserves the architecture
    rumination, optimization ledger, research references, source/hotspot audits,
    Fensalir/native boundary maps, benchmark plan, calibration-session spec,
    distributed receiver spec, failure-mode ledger, data dictionary, low-level
    implementation notes, and sample code sketches for streaming chirp-bin
    decode, AVX2/GPU scoring, batched native ABI, fractional-delay/SRO
    actuation, acoustic source localization, Mimir-to-Fensalir lowering, and
    native capture rings. The corrected deep-study pass ran from
    `2026-05-23T23:54:42.9041588+01:00` through at least
    `2026-05-24T01:54:56.9747630+01:00`; use
    `research/perfect-machine-study-2026-05-23/reading-guide.md` as the
    re-entry index.
  - `.voidbot` state is part of repo memory and must be committed separately
    whenever dirty.

active_subgoals:
  - Implement the first concrete Leap direct capture driver and measure cadence.
  - Add remaining local camera drivers through `IMimirVideoCaptureDriver`.
  - Use the verified in-process Focusrite ASIO source for local Scarlett mic and
    loopback ingest; WASAPI remains a diagnostic witness.
  - Add network audio feed producers that enter the same runtime clock/rebuffer
    machinery instead of becoming independent authorities.
  - Bind Fensalir UI to stream health, buffer depth, source timestamps,
    settings, and output management.
  - Keep PowerShell/FFmpeg/SRT as bridge utilities until direct program output
    replaces them.

current_status:
  summary: >
    The repo owns a C# Mimir app/runtime scaffold, a native reservoir crate, OBS
    bridge scripts, and persistence surfaces. Script-era packages, tests,
    helper tools, dependency manifests, and stale docs have been removed from
    the working tree. Research archives remain as reference-only memory for raw
    native/GPU implementation shape. A raw PS3 Eye libusb/WinUSB cadence probe
    measured both PS3 Eyes simultaneously at about 183 fps each at 320x240 and
    57-59 fps each at 640x480. A native Kernel Streaming LeapUVC probe can pull
    frames through usbvideo.sys without Media Foundation, DirectShow, OpenCV, or
    frame processing; after discarding a two-second warm-up, the useful 640x240
    stereo IR mode advertises 115 fps and currently measures about 110.8 fps
    with eight queued asynchronous KS reads. The half-height 640x120 mode
    advertises 214 fps and currently measures about 205.9 fps. Plain Kiyo is
    usable through KS when manual exposure is forced shorter: 1080p MJPG reaches
    about 30 fps and 720p MJPG reaches about 51.5 fps. Kiyo Pro advertises 60
    fps MJPG at 720p/1080p but currently delivers only about 25 fps through the
    same KS path even with manual exposure tuning. Standard KS low-light
    compensation off does not restore 60 fps, powerline 60Hz only raises Pro
    cadence to about 29 fps, and standard extended Video HDR is not exposed on
    this KS path. The controls-only probe now parses USB VideoControl
    descriptors and found the Kiyo Pro's two vendor extension units. One
    extension unit answers writable KS selectors. Moving the Pro directly to a
    motherboard USB3 port changed the path to `root_hub30`, `bcdUSB=0x0320`,
    and exposed 720p/1080p YUY2/MJPG/H264/NV12 at 60 fps, but Windows still
    reports `UsbHighSpeed` rather than `UsbSuperSpeed`, and baseline cadence is
    still about 25 fps across every tested format. The first simultaneous local
    camera pull only had three visible devices: LeapUVC, Kiyo Pro, and one PS3
    Eye. The KS multi-stream harness plus raw PS3 Eye probe pulled all three at
    once, but Leap cadence collapsed under shared load: with PS3 Eye at
    640x480@60 the set delivered Leap 40.12 fps, Kiyo Pro 24.99 fps, and PS3
    Eye 56.06 fps; with PS3 Eye at 320x240@187 it delivered Leap 81.10 fps,
    Kiyo Pro 25.33 fps, and PS3 Eye 185.74 fps. After port swapping, five
    camera devices / six optical sensors were visible and pulled at once:
    LeapUVC's packed stereo IR pair, Kiyo Pro, regular Kiyo, and two PS3 Eyes.
    With both Eyes at 640x480@60, the set delivered Leap stereo 57.33 fps,
    Kiyo Pro 24.97 fps, Kiyo 30.30 fps, PS3 Eye 0 59.59 fps, and PS3 Eye 1
    57.60 fps. With both Eyes at 320x240@187, it delivered Leap stereo 81.05
    fps, Kiyo Pro 24.97 fps, Kiyo 30.28 fps, PS3 Eye 0 187.60 fps, and PS3
    Eye 1 187.03 fps. Kiyo Pro still negotiates high-speed USB, and Leap
    remains topology-sensitive under shared load. A follow-up moved Leap alone
    onto the blue rear USB3 group/root_hub30#5 while both Kiyos shared
    root_hub30#7&18eea21b and one visible PS3 Eye used root_hub30#7&124f193f;
    Leap still delivered only 80.99 fps with the other visible cameras active,
    so the remaining loss is not explained by same-root-hub contention alone.
    Splitting Kiyo Pro and one PS3 Eye to Raven left the Mimir host with
    LeapUVC, regular Kiyo, and one PS3 Eye, but local cadence still stayed low:
    Leap delivered 81.34 fps with Kiyo+Eye, 82.77 fps with Kiyo only, and only
    84.18 fps in a same-session Leap-only baseline. The previous ~110.8 fps
    Leap result was not reproduced until the Focusrite Scarlett Solo was moved
    away from the Leap USB neighborhood. After that, Leap-only baseline rose to
    95.48 fps, best full-height scenario to 101.67 fps, and the local split set
    delivered Leap 105.10 fps, regular Kiyo 30.17 fps, and one PS3 Eye 185.81
    fps. The split-host layout is viable if the Leap's USB neighborhood stays
    free of the Focusrite and other heavy devices. Raven's PS3 Eye raw interface
    now has the same libwdi WinUSB binding as the local Eye and can be opened by
    the copied cadence probe, but Raven Eye cadence is currently unusable:
    320x240@187 delivered 132.24 fps then 78.93 fps, and 640x480@60 delivered
    6.32 fps with multi-second gaps. Moving that Eye back to the Mimir host
    produced the current clean local topology: LeapUVC, regular Kiyo, and two
    PS3 Eyes run in parallel while Kiyo Pro stays off-host. With both Eyes at
    320x240@187, Leap delivered 106.07 fps, Kiyo 30.33 fps, and the Eyes 186.57
    / 186.14 fps. With both Eyes at 640x480@60, Leap delivered 108.07 fps, Kiyo
    30.34 fps, and the Eyes 57.79 / 58.08 fps. Moving Kiyo Pro back to the
    Mimir host while regular Kiyo was absent kept Leap healthy: with both Eyes
    at 320x240@187, Leap delivered 110.80 fps, Kiyo Pro 24.97 fps, and the Eyes
    187.46 / 186.89 fps; with both Eyes at 640x480@60, Leap delivered 110.72
    fps, Kiyo Pro 24.87 fps, and the Eyes 59.91 / 59.19 fps. Kiyo Pro still
    negotiates UsbHighSpeed(2), but it does not poison Leap cadence in the
    current layout. Moving regular Kiyo from front panel to a rear port made
    all five camera devices / six optical sensors visible locally. With both
    Eyes at 320x240@187, the full set delivered Leap 110.84 fps, Kiyo Pro 25.08
    fps, Kiyo 30.18 fps, PS3 Eye 0 187.59 fps, and PS3 Eye 1 187.02 fps. With
    both Eyes at 640x480@60, it delivered Leap 110.76 fps, Kiyo Pro 25.14 fps,
    Kiyo 30.18 fps, PS3 Eye 0 59.66 fps, and PS3 Eye 1 59.95 fps. A mouse in
    the Leap USB neighborhood does not reproduce the Focusrite-induced collapse.
  next_action: >
    Use the new bioacoustic timeline watermark as the active acoustic sync
    direction. Cut the next implementation in this order: streaming indexed
    log-mel/MFCC motif decoder state with a global clock/path hypothesis fed by
    `--bioacoustic-train` receipts, calibration-session command/replay proof that learns
    per-output/mic motif/formant response, fractional-delay/SRO actuator, then
    native camera payload handles and Fensalir lowering. Keep chirp-bin
    calibration captures as reference evidence, not the runtime target.
    Current app testing proves Fensalir WASAPI output wakes Scarlett speaker
    loopback, live mic buffers stay populated, runtime sync analysis now runs as
    a bounded rotating service without UI/telemetry re-entry, and the bioacoustic
    motif timeline produces deterministic synthetic active sync. The next
    invariant is self-identifying song contours producing stable intra-call
    time/frequency anchors and clock fits through real loopback and microphones,
    so the actuator can use decoded time instead of filtered lag guesses.
    Replace the remaining
    diagnostic JSON-line process bridges with direct native capture drivers that
    push buffer handles into Mimir.Runtime. Mimir.BufferSmoke still proves live buffers and sync reports
    for Scarlett loopback, Focusrite mic, Kiyo mic, and Kiyo Pro mic when
    calibration witnesses are playing. Treat PS3 Eye audio as
    enumeration/runtime-fragile, not unavailable. Keep the Focusrite away from
    the Leap USB neighborhood. The Scarlett Solo 4th Gen is now attached to
    Starfire, and `native/probes/asio_audio_cadence` proves local Focusrite USB
    ASIO access with 4 inputs / 2 outputs including Loopback 1/2, 192-frame
    preferred buffers, 44.1-192 kHz support, and nonzero 4-channel Int32LSB
    input callbacks at 192 kHz. Raven also has a 192 kHz loopback-capable
    Scarlett for co-streamer/game timing evidence, but Starfire owns the heavy
    soundfield and sensor-fusion work. Treat Kiyo Pro as a ~25 fps source until
    its SuperSpeed negotiation is fixed.