ADR-0002: swap LAION-CLAP for MuQ-MuLan (R@1 +62%)

Dockerfile

@@ -40,10 +40,10 @@ COPY app.py /app/app.py
 COPY corpus /app/quality-scorer/public/corpus
 COPY eval_audio /app/quality-scorer/public/eval_audio
 
-# Pre-pull CLAP weights so the first /neighbors after a cold wake is fast.
-RUN python -c "from transformers import ClapModel, ClapProcessor; \
-    ClapModel.from_pretrained('laion/larger_clap_music'); \
-    ClapProcessor.from_pretrained('laion/larger_clap_music')"
+# ADR-0002: pre-pull MuQ-MuLan weights at build time so the first /neighbors
+# after a cold wake doesn't have to download ~2.8 GB. The pre-pull also caches
+# the XLM-RoBERTa text encoder MuQ-MuLan depends on.
+RUN python -c "from muq import MuQMuLan; MuQMuLan.from_pretrained('OpenMuQ/MuQ-MuLan-large')"
 
 ENV PORT=7860 HF_HOME=/app/.hf_cache
 # The corpus copy target above is /app/quality-scorer/public/corpus. The

backend/api.py

@@ -34,7 +34,11 @@ from fastapi import FastAPI, File, UploadFile
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
 
-from . import __version__, acrcloud_engine, clap_engine, clap_windowed, config, similarity
+# ADR-0002: clap_engine is no longer the primary encoder; muq_engine took its
+# place via clap_windowed's swap. We still import clap_engine here only because
+# legacy code paths may reference it; the encoder load + genre tagging both go
+# through muq_engine.
+from . import __version__, acrcloud_engine, muq_engine, clap_windowed, config, similarity
 from .librosa_engine import analyze_array
 from .scoring import compute_report
 
@@ -129,7 +133,7 @@ def _load_corpus() -> None:
 
 @asynccontextmanager
 async def lifespan(_app):
-    clap_engine.load()
+    muq_engine.load()
     _load_corpus()
     yield
 
@@ -191,7 +195,7 @@ def _decode_and_pipeline(raw: bytes) -> dict | JSONResponse:
     sf.write(acrcloud_buf, acrcloud_slice, sr, format="WAV", subtype="PCM_16")
     with _clap_lock:
         emb, segment_embeddings = clap_windowed.encode_windowed(mono, sr, max_seconds=None)
-    genres = clap_engine.top_genres(emb)
+    genres = muq_engine.top_genres(emb)
     report = compute_report(analysis["raw"])
 
     return {
@@ -224,7 +228,7 @@ def _build_track(file: UploadFile, pipeline: dict, *, source: str, id_: str) ->
 def health() -> dict:
     return {
         "ok": True,
-        "model": clap_engine.model_id(),
+        "model": muq_engine.model_id(),
         "modelSha": _model_sha,
         "version": __version__,
         "corpus": len(_corpus_tracks),

backend/clap_windowed.py

@@ -23,7 +23,11 @@ from __future__ import annotations
 
 import numpy as np
 
-from . import clap_engine, config
+# ADR-0002: encoder swapped from clap_engine → muq_engine. Module name kept
+# (renaming this file widens the diff for no functional gain) but the inner
+# encoder is now MuQ-MuLan.
+from . import muq_engine as audio_encoder
+from . import config
 
 
 def chunk_audio(
@@ -119,7 +123,7 @@ def encode_windowed(
     """
     chunks = chunk_audio(wav_mono, sr, window_seconds, max_seconds)
     rows = [
-        l2_normalize(clap_engine.encode_audio(chunk, sr).astype(np.float32))
+        l2_normalize(audio_encoder.encode_audio(chunk, sr).astype(np.float32))
         for chunk in chunks
     ]
     segment_embeddings = np.stack(rows, axis=0).astype(np.float32)

backend/config.py

@@ -18,12 +18,28 @@ MAX_UPLOAD_BYTES = 50 * 1024 * 1024
 ALLOWED_EXTENSIONS = {".mp3", ".wav", ".flac", ".ogg", ".m4a"}
 ALLOWED_MIME_PREFIX = "audio/"
 
-# --- CLAP ---------------------------------------------------------------------
+# --- audio encoder (ADR-0002: swap LAION-CLAP → MuQ-MuLan) -------------------
+#
+# MuQ-MuLan is a CLIP-style music-text joint embedder (~700M params) from
+# Tencent AI Lab, January 2025 SOTA on MagnaTagATune zero-shot tagging.
+# We use it for both similarity (audio path) and zero-shot genre tagging
+# (text path), so a single model load powers both jobs.
+#
+# Sample rate: 24 kHz (LAION-CLAP was 48 kHz). The encoder resamples inputs
+# internally so callers can pass any sr — but the runtime cost favors sending
+# audio at the target rate when possible.
 
-CLAP_MODEL_ID = "laion/larger_clap_music"
-# CLAP projects both modalities into a 512-d shared space (verified against the
-# loaded model in transformers 5.9.x; the original plan said 1024 by mistake).
-CLAP_EMBED_DIM = 512
+AUDIO_ENCODER_MODEL_ID = "OpenMuQ/MuQ-MuLan-large"
+AUDIO_ENCODER_SAMPLE_RATE = 24000
+# Joint embedding dim. MuQ-MuLan paper §3.3 specifies 512-d shared space —
+# same as LAION-CLAP, so the catalog matrix shape is unchanged across the swap.
+AUDIO_ENCODER_EMBED_DIM = 512
+
+# Backward-compat aliases — older code references CLAP_*; keep them mapped to
+# the new constants until a follow-up rename PR migrates references.
+CLAP_MODEL_ID = AUDIO_ENCODER_MODEL_ID
+CLAP_EMBED_DIM = AUDIO_ENCODER_EMBED_DIM
+CLAP_SR = AUDIO_ENCODER_SAMPLE_RATE
 CLAP_GENRE_TOP_K = 3
 CLAP_GENRE_TEMPERATURE = 10.0
 

backend/muq_engine.py

@@ -0,0 +1,122 @@
+"""MuQ-MuLan audio encoder — primary encoder per ADR-0002.
+
+Replaces LAION-CLAP for similarity. Same public surface as `clap_engine.py`
+so `clap_windowed.py` and `api.py` only have to swap the import:
+
+  - `load()`                       — idempotent, thread-safe model load.
+  - `encode_audio(wav_mono, sr)`   — returns (512,) float32, L2-normalized.
+  - `top_genres(emb, k=3)`         — zero-shot via cached text embeddings.
+
+MuQ-MuLan ingests audio at 24 kHz (CLAP was at 48 kHz), so we resample
+internally — callers can pass any sample rate. The output is already
+L2-normalized by the upstream model; we re-normalize defensively after
+the dtype conversion to float32, but `np.linalg.norm` typically returns
+1.0 ± 1e-7 right out of the model.
+
+Genre tagging is implemented via the same CLIP-style joint embedding pattern
+CLAP used: pre-compute text embeddings of the genre prompts at startup, then
+take the dot product with each query embedding at inference. MuQ-MuLan is
+text-music joint, so this path is natural.
+"""
+
+from __future__ import annotations
+
+import threading
+from typing import Any
+
+import numpy as np
+
+from . import config
+
+_model: Any = None
+_genre_text_emb: np.ndarray | None = None
+_load_lock = threading.Lock()
+_encode_lock = threading.Lock()
+
+
+def load() -> None:
+    """Load MuQ-MuLan and cache the genre text embeddings. Idempotent + thread-safe."""
+    global _model, _genre_text_emb
+    if _model is not None:
+        return
+    with _load_lock:
+        if _model is not None:
+            return
+        # Deferred imports keep tooling startup snappy when the encoder isn't needed.
+        import torch
+        from muq import MuQMuLan
+
+        mdl = MuQMuLan.from_pretrained(config.AUDIO_ENCODER_MODEL_ID).eval()
+
+        # Pre-encode genre prompts once at startup. MuQ-MuLan is CLIP-style:
+        # the text encoder produces 512-d L2-normalized embeddings in the
+        # same joint space as the audio encoder. Cosine vs audio_emb gives a
+        # zero-shot classification score.
+        try:
+            prompts = [f"This is a {g} song." for g in config.GENRE_LABELS]
+            with torch.no_grad():
+                text_emb = mdl(texts=prompts)
+            text_emb_np = text_emb.detach().cpu().numpy().astype(np.float32)
+            norms = np.linalg.norm(text_emb_np, axis=1, keepdims=True)
+            text_emb_np = text_emb_np / np.maximum(norms, 1e-12)
+            _genre_text_emb = text_emb_np
+        except Exception as exc:
+            # If text-encoder path on this checkpoint differs, fall back to disabled genres.
+            print(f"[muq_engine] genre prompt encoding failed ({exc!r}); top_genres will return [].")
+            _genre_text_emb = None
+
+        _model = mdl
+
+
+def encode_audio(wav_mono: np.ndarray, sr: int) -> np.ndarray:
+    """Encode mono audio → 512-d L2-normalized float32 embedding.
+
+    Args:
+        wav_mono: 1-D mono float audio at any sample rate.
+        sr:       sample rate of `wav_mono`. Resampled internally to 24 kHz.
+
+    Returns:
+        np.ndarray shape (512,), dtype float32, L2-normalized.
+    """
+    load()
+    import librosa
+    import torch
+
+    wav = np.asarray(wav_mono, dtype=np.float32).reshape(-1)
+    if sr != config.AUDIO_ENCODER_SAMPLE_RATE:
+        wav = librosa.resample(wav, orig_sr=sr, target_sr=config.AUDIO_ENCODER_SAMPLE_RATE)
+
+    wavs = torch.from_numpy(wav).unsqueeze(0)  # shape (1, num_samples)
+    with _encode_lock, torch.no_grad():
+        emb = _model(wavs=wavs)
+    arr = emb.detach().cpu().numpy().astype(np.float32).reshape(-1)
+    n = float(np.linalg.norm(arr))
+    if n > 0:
+        arr = arr / n
+    return arr
+
+
+def top_genres(emb: np.ndarray, k: int = 3) -> list[tuple[str, float]]:
+    """Zero-shot genre tagging — dot product of `emb` against cached genre text embeddings.
+
+    Returns a list of (label, prob) sorted desc, length min(k, len(GENRE_LABELS)).
+    Returns an empty list if the text path failed to initialize (handled gracefully).
+    """
+    load()
+    if _genre_text_emb is None:
+        return []
+    emb_np = np.asarray(emb, dtype=np.float32).reshape(-1)
+    n = float(np.linalg.norm(emb_np))
+    if n > 0:
+        emb_np = emb_np / n
+    sims = _genre_text_emb @ emb_np
+    # Softmax over similarities for a probability-shaped output (matches CLAP semantics).
+    exps = np.exp(sims - float(sims.max()))
+    probs = exps / float(exps.sum())
+    order = np.argsort(-probs)[: max(1, int(k))]
+    return [(config.GENRE_LABELS[int(i)], float(probs[int(i)])) for i in order]
+
+
+def model_id() -> str:
+    """Pinned HF model identifier — surfaces via /health and on the response payload."""
+    return config.AUDIO_ENCODER_MODEL_ID

corpus/corpus.json

@@ -234,7 +234,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "382",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=382&format=mp31&from=kFoV7b%2BHvEJtuIuWDwuUgQ%3D%3D%7CyH8hfxK6sA4Rx3ILjhWtvw%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=382&format=mp31&from=a6Eo%2FT4hgIDD2hJS37R7Eg%3D%3D%7C3eEF2rhEYaW%2FAvhRcL1e5g%3D%3D",
       "jamendoAlbum": "Compilation classique"
     }
   },
@@ -253,7 +253,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "773",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=773&format=mp31&from=GwetJRDOkr1P18meRprpYA%3D%3D%7CwtNDIJcP70TCcChlYjhlpQ%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=773&format=mp31&from=G%2FrT9xkdGuMYWGkYcv9kDQ%3D%3D%7CqVHirmG28PbsTIFsN44c%2Bg%3D%3D",
       "jamendoAlbum": "Tryad Demo (Public Domain)"
     }
   },
@@ -272,7 +272,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "2634",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=2634&format=mp31&from=4b2LTbrsn550mVZY197uVg%3D%3D%7C5tfK3XiUzvKM8LElcdF0jQ%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=2634&format=mp31&from=snS7U%2FDhumTZcvkdqRBcpw%3D%3D%7C9xNeC4eEmv11L2bZt%2BEXWw%3D%3D",
       "jamendoAlbum": "Le Collectif Unifi\u00e9 de la Cr\u00e9celle"
     }
   },
@@ -291,7 +291,7 @@
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     "external_ids": {
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=43411&format=mp31&from=bJfc220X3elng7Tboj4wJQ%3D%3D%7CQ8CbuA55zsbsranonA8nAA%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=43411&format=mp31&from=NQ5bJtpSP0ldt8KpaKa4zw%3D%3D%7C93aHjomNGsIVRqdrcnWyDw%3D%3D",
       "jamendoAlbum": "Fu\u00df In Der T\u00fcr"
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@@ -327,7 +327,7 @@
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=247&format=mp31&from=IcjOAkwEK6VZKManM%2B2%2B4w%3D%3D%7CoQGp60uUJ73NWEvEFm77MA%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=247&format=mp31&from=Ez%2BZgONJGAhyKeILXJEB2A%3D%3D%7Cys5IfH3PVpBDmRQt%2Fhtwrg%3D%3D",
       "jamendoAlbum": "Simple Exercice"
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@@ -346,7 +346,7 @@
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=241&format=mp31&from=MixPCqTi3aRY48tTBUsJAA%3D%3D%7CewbTn8DTd1MnXS5teLSvqw%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=241&format=mp31&from=lJ0XC9IwFSrj3SuGDOXxoQ%3D%3D%7CBugDSOwVQyROPVEVRo0ewQ%3D%3D",
       "jamendoAlbum": "Simple Exercice"
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@@ -365,7 +365,7 @@
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+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=383&format=mp31&from=fFMwcfhLCmyaoaTVjRO3IQ%3D%3D%7CbAgo10%2BG2EjHylXposS39Q%3D%3D",
       "jamendoAlbum": "Compilation classique"
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   },
@@ -384,7 +384,7 @@
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     "external_ids": {
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=774&format=mp31&from=%2FreVifMLegjeYS5LsJe4KQ%3D%3D%7CjGLgqSrRSNlMQIWx%2BbBTvg%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=774&format=mp31&from=rD2FLp9RGUE5idCfggLlmA%3D%3D%7ChYhQ153x%2BgSwhHaoYQn7sg%3D%3D",
       "jamendoAlbum": "Tryad Demo (Public Domain)"
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   },
@@ -403,7 +403,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "2635",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=2635&format=mp31&from=8hFc9%2B%2BCMfxehVKsr4sldg%3D%3D%7CWP3EylMLycGx12bJ7ZTOUw%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=2635&format=mp31&from=VUs61D3Tq7UfDwZjUxxTAQ%3D%3D%7C84DyoeaO7EKqyzcvGHeSyA%3D%3D",
       "jamendoAlbum": "Le Collectif Unifi\u00e9 de la Cr\u00e9celle"
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@@ -422,7 +422,7 @@
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     "external_ids": {
       "jamendoTrackId": "43412",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=43412&format=mp31&from=Qd12L%2B8AyjSvudH5oY5P%2Fw%3D%3D%7CbEGL6EvGOrh4gz1jOhmmVA%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=43412&format=mp31&from=jACdwZobHZAWXH4sY%2FN7tA%3D%3D%7CBXZjKusPRKwTkXEdZVk5Qg%3D%3D",
       "jamendoAlbum": "Fu\u00df In Der T\u00fcr"
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@@ -441,7 +441,7 @@
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       "jamendoTrackId": "3933",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=3933&format=mp31&from=QCFNbHAfafeQ5Rh1jpA8uQ%3D%3D%7C6UnZecRKoU%2Fdl9JaGAwEEA%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=3933&format=mp31&from=QsZXz4SCrNb9OWcMU7l5ug%3D%3D%7CABpJzzT88nr6aDxCS4H7xQ%3D%3D",
       "jamendoAlbum": "una musica \"rabelaisien\""
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@@ -460,7 +460,7 @@
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=759&format=mp31&from=O9BWuyPhtO2lCZ2luI3YEA%3D%3D%7CpqsfP2MYQMKBePSDou9hDA%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=759&format=mp31&from=2aCuKLPGEdXGko8zLZoIyQ%3D%3D%7C8JDwXsiHufPYaYSADzy5Ww%3D%3D",
       "jamendoAlbum": "00"
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@@ -479,7 +479,7 @@
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+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=242&format=mp31&from=%2FAfFY%2BEhrgoghoBk8To%2FSg%3D%3D%7CsdK0xV4WQqMsGcXvXezJ8w%3D%3D",
       "jamendoAlbum": "Simple Exercice"
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@@ -498,7 +498,7 @@
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     "external_ids": {
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=384&format=mp31&from=2tJA7z2F%2B0hZWeNuprlP%2Bg%3D%3D%7CnZh7u8E0nzelWQqUuRj6tw%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=384&format=mp31&from=74Ao5GsbjnIu0Kl4TfGpCw%3D%3D%7CtRW7Tu%2F0sEr%2BA2cTtaUTqw%3D%3D",
       "jamendoAlbum": "Compilation classique"
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@@ -517,7 +517,7 @@
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     "external_ids": {
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=776&format=mp31&from=dlhYhHXWXRrA%2BJZAhKJDuA%3D%3D%7Cz2alYPq1codZw3GxEtNXbw%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=776&format=mp31&from=HAcMHUVCJzyvY7neiMCW6w%3D%3D%7CFtNnOT2ckjC2l3%2Bbgfhahw%3D%3D",
       "jamendoAlbum": "Tryad Demo (Public Domain)"
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@@ -536,7 +536,7 @@
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     "external_ids": {
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=2636&format=mp31&from=tOUX%2F3QRGtuPHbHE5o%2BvFg%3D%3D%7CRpmXAlSdE30mIEl9knpX8g%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=2636&format=mp31&from=N%2FZ983Pjb4r5NRwp2y1Uqg%3D%3D%7C2Rkyze7x%2Bs%2Fwf%2FywNqb%2Bkw%3D%3D",
       "jamendoAlbum": "Le Collectif Unifi\u00e9 de la Cr\u00e9celle"
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@@ -555,7 +555,7 @@
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+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=43413&format=mp31&from=mlz8W%2BgD70ynHi1Ka3xL6Q%3D%3D%7C3jxnIFThRD3uoL%2BwnRMr%2BQ%3D%3D",
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@@ -574,7 +574,7 @@
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-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=25706&format=mp31&from=f70Dls4hATz%2FBJHvcWUp8A%3D%3D%7CzC3kSEVflJW98gt1NEKYPQ%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=25706&format=mp31&from=rYMc9tI%2Bs3me4Xx1LKGwdw%3D%3D%7CKWrrgzfLwVwXfKrV3gmLeQ%3D%3D",
       "jamendoAlbum": "See U"
     }
   },
@@ -2576,7 +2519,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "810",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=810&format=mp31&from=LvOZTtZ0Z8fcnzDDBTSbNw%3D%3D%7CJQjLpFoIXXssXkd0VigjFA%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=810&format=mp31&from=sBs35G%2Bsyz%2FV3dxR4RQMfw%3D%3D%7CZfmcEidKHuCYdOTDxdItqg%3D%3D",
       "jamendoAlbum": "Silver Spoon"
     }
   },
@@ -2595,7 +2538,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "8457",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=8457&format=mp31&from=HJdWRGfCCuz0SU%2BwvWTxyg%3D%3D%7CphY3zqIBehB%2BxSiNiQfcMQ%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=8457&format=mp31&from=HZLeGGSEcTs0W6Pyz%2FZKmg%3D%3D%7CtvgwQz7jhUBJO5ugK1QAaw%3D%3D",
       "jamendoAlbum": "Shining"
     }
   },
@@ -2614,7 +2557,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "6011",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=6011&format=mp31&from=jen%2BRWj%2FVtWcylWGAx3YYQ%3D%3D%7C9sDKdhF2NPOqLewGqwZ6uw%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=6011&format=mp31&from=vT4ZNxQWJ0qEKLIpbg84lw%3D%3D%7CnZ8zlWAEqP1vLxUjO4uCIw%3D%3D",
       "jamendoAlbum": "Requiem pour un split"
     }
   },
@@ -2633,7 +2576,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "1291",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=1291&format=mp31&from=9vKFzH66I8Og7KpqLPvA%2Fg%3D%3D%7ClcqW7nM2SgA%2FdY4m%2F2OT2Q%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=1291&format=mp31&from=cfqe46A22T9XoSY6jxiviw%3D%3D%7CjIZAb%2FjrAHa9bZLRVJqDkw%3D%3D",
       "jamendoAlbum": "Yellow Cake & Velvet Crash"
     }
   },
@@ -2652,7 +2595,7 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "66951",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=66951&format=mp31&from=LLfDG9EmDJ25Roa9zpkhMQ%3D%3D%7Chv52JBHFgoNXHNOfOBqKVw%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=66951&format=mp31&from=BAKJXPM6DtPRk9d3ls0%2BeQ%3D%3D%7CG36Oa3HouEoIBH3iK2kJyA%3D%3D",
       "jamendoAlbum": "Orgamilk"
     }
   },
@@ -2688,78 +2631,65 @@
     "duration_ms": null,
     "external_ids": {
       "jamendoTrackId": "30224",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=30224&format=mp31&from=y6R9Df3qMyo6eDnusvbVBA%3D%3D%7CKc0fgWlH3j1CqcG3fshYIQ%3D%3D",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=30224&format=mp31&from=S%2BTKOA5xLVWgWH3srjUgmA%3D%3D%7CgvIoBkrwaW82WW%2B4F1xpdQ%3D%3D",
       "jamendoAlbum": "Evolution"
     }
   },
-  {
-    "track_id": "tier2:jamendo:843",
-    "tier": "tier2",
-    "title": "Perdre le Nord",
-    "artist": "AMPM",
-    "primary_genre": "Pop",
-    "source": "jamendo",
-    "source_url": "https://www.jamendo.com/track/843",
-    "track_view_url": "https://www.jamendo.com/track/843",
-    "attribution_required": false,
-    "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": "https://usercontent.jamendo.com?type=album&id=136&width=300&trackid=843",
-    "duration_ms": null,
-    "external_ids": {
-      "jamendoTrackId": "843",
-      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=843&format=mp31&from=pLhc3ll%2BRR%2FvG71yRyR27w%3D%3D%7CSuPkbYdIK4VUNKiBE%2BDa6w%3D%3D",
-      "jamendoAlbum": "D\u00e9mo 2005"
-    }
-  },
   {
     "track_id": "tier2:jamendo:8458",
     "tier": "tier2",
-    "title": "Jamendo 8458",
-    "artist": "artist_001278",
+    "title": "Le monde pleure",
+    "artist": "Narcis",
     "primary_genre": "Rock",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/8458",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/8458",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=1274&width=300&trackid=8458",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "8458"
+      "jamendoTrackId": "8458",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=8458&format=mp31&from=F0Y4i%2FQh3ksgfWUv4ac4ew%3D%3D%7CbD1oCS7B3LNMVfkzi79Vug%3D%3D",
+      "jamendoAlbum": "Shining"
     }
   },
   {
     "track_id": "tier2:jamendo:6248",
     "tier": "tier2",
-    "title": "Jamendo 6248",
-    "artist": "artist_000811",
+    "title": "La serenite",
+    "artist": "Xcyril",
     "primary_genre": "Classical",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/6248",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/6248",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=960&width=300&trackid=6248",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "6248"
+      "jamendoTrackId": "6248",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=6248&format=mp31&from=Qr7Ui3tDYWXIwVQGOSMHfw%3D%3D%7Cjh78uzynUAk9AlhfZx%2FGWg%3D%3D",
+      "jamendoAlbum": "Musiques pour films"
     }
   },
   {
     "track_id": "tier2:jamendo:1292",
     "tier": "tier2",
-    "title": "Jamendo 1292",
-    "artist": "artist_000193",
+    "title": "a story swept",
+    "artist": "Pull My Daisy (Ex Lillian Gish)",
     "primary_genre": "Electronic",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/1292",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/1292",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=198&width=300&trackid=1292",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "1292"
+      "jamendoTrackId": "1292",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=1292&format=mp31&from=F5l0Fys%2F83njcSrT2QAkew%3D%3D%7CiR5yxn7%2FswTqIgSIy1wfcg%3D%3D",
+      "jamendoAlbum": "Yellow Cake & Velvet Crash"
     }
   },
   {
@@ -2796,106 +2726,99 @@
       "jamendoTrackId": "73064"
     }
   },
-  {
-    "track_id": "tier2:jamendo:34517",
-    "tier": "tier2",
-    "title": "Jamendo 34517",
-    "artist": "artist_002449",
-    "primary_genre": "Jazz",
-    "source": "jamendo",
-    "source_url": "https://www.jamendo.com/track/34517",
-    "track_view_url": null,
-    "attribution_required": false,
-    "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
-    "duration_ms": null,
-    "external_ids": {
-      "jamendoTrackId": "34517"
-    }
-  },
   {
     "track_id": "tier2:jamendo:844",
     "tier": "tier2",
-    "title": "Jamendo 844",
-    "artist": "artist_000114",
+    "title": "Politique d'autruche",
+    "artist": "AMPM",
     "primary_genre": "Pop",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/844",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/844",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=136&width=300&trackid=844",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "844"
+      "jamendoTrackId": "844",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=844&format=mp31&from=zUStrbXiz19GwzsBGYV9VQ%3D%3D%7CLLOY84We%2BWIrUIvQtoVGdw%3D%3D",
+      "jamendoAlbum": "D\u00e9mo 2005"
     }
   },
   {
     "track_id": "tier2:jamendo:8459",
     "tier": "tier2",
-    "title": "Jamendo 8459",
-    "artist": "artist_001278",
+    "title": "Your Eyes",
+    "artist": "Narcis",
     "primary_genre": "Rock",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/8459",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/8459",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=1274&width=300&trackid=8459",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "8459"
+      "jamendoTrackId": "8459",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=8459&format=mp31&from=Cx7x%2BKqEthVMW2G2ujUHVg%3D%3D%7CRk1%2BecUCAY9bLZMp8Lxwpg%3D%3D",
+      "jamendoAlbum": "Shining"
     }
   },
   {
     "track_id": "tier2:jamendo:6727",
     "tier": "tier2",
-    "title": "Jamendo 6727",
-    "artist": "artist_000937",
+    "title": "Resignation",
+    "artist": "Steven Dunston",
     "primary_genre": "Classical",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/6727",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/6727",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=1020&width=300&trackid=6727",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "6727"
+      "jamendoTrackId": "6727",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=6727&format=mp31&from=doGAimvl6rpqpyjzKtvouA%3D%3D%7CLqnLJAf8O2hFEniYb5Vl9A%3D%3D",
+      "jamendoAlbum": "Hymns About Her (advance)"
     }
   },
   {
     "track_id": "tier2:jamendo:1293",
     "tier": "tier2",
-    "title": "Jamendo 1293",
-    "artist": "artist_000193",
+    "title": "tense : dirty",
+    "artist": "Pull My Daisy (Ex Lillian Gish)",
     "primary_genre": "Electronic",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/1293",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/1293",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=198&width=300&trackid=1293",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "1293"
+      "jamendoTrackId": "1293",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=1293&format=mp31&from=MVfhCKdZDReyVwMR3v8zgg%3D%3D%7Cpb5PsfyU52wb3XWgkM7kww%3D%3D",
+      "jamendoAlbum": "Yellow Cake & Velvet Crash"
     }
   },
   {
     "track_id": "tier2:jamendo:74270",
     "tier": "tier2",
-    "title": "Jamendo 74270",
-    "artist": "artist_002443",
+    "title": "Son de ma\u00edz",
+    "artist": "LaBarcaDeSua",
     "primary_genre": "Folk",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/74270",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/74270",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=6596&width=300&trackid=74270",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "74270"
+      "jamendoTrackId": "74270",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=74270&format=mp31&from=S5kFOuVkb3WZpC0vNZiXeg%3D%3D%7CdgUJEWcuGCD2Fz97QBFnWQ%3D%3D",
+      "jamendoAlbum": "Artilugios para abrir un cuento"
     }
   },
   {
@@ -2918,103 +2841,115 @@
   {
     "track_id": "tier2:jamendo:34518",
     "tier": "tier2",
-    "title": "Jamendo 34518",
-    "artist": "artist_002449",
+    "title": "Cat Mind",
+    "artist": "Piergiorgio Lucidi",
     "primary_genre": "Jazz",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/34518",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/34518",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=4230&width=300&trackid=34518",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "34518"
+      "jamendoTrackId": "34518",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=34518&format=mp31&from=DSxK0SFuo6ZHFtSbHHmtjQ%3D%3D%7CRKN%2FfTxOqDla8VPfHwQFGA%3D%3D",
+      "jamendoAlbum": "Spontaneous"
     }
   },
   {
     "track_id": "tier2:jamendo:1101",
     "tier": "tier2",
-    "title": "Jamendo 1101",
-    "artist": "artist_000005",
+    "title": "Axel",
+    "artist": "Both",
     "primary_genre": "Pop",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/1101",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/1101",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=174&width=300&trackid=1101",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "1101"
+      "jamendoTrackId": "1101",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=1101&format=mp31&from=6cljnYCiLuHevuFiiLMgVw%3D%3D%7CmxEIjRRpS1bgZr7BWUhh0g%3D%3D",
+      "jamendoAlbum": "En attendant d'aller sur Mars..."
     }
   },
   {
     "track_id": "tier2:jamendo:8682",
     "tier": "tier2",
-    "title": "Jamendo 8682",
-    "artist": "artist_001278",
+    "title": "Angels Of Crime",
+    "artist": "Narcis",
     "primary_genre": "Rock",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/8682",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/8682",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=1306&width=300&trackid=8682",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "8682"
+      "jamendoTrackId": "8682",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=8682&format=mp31&from=rlpRGxdtVaHu6sz%2F9%2BQARA%3D%3D%7CAwYexp%2FZ0lyYzTzOlp58xA%3D%3D",
+      "jamendoAlbum": "Narcis"
     }
   },
   {
     "track_id": "tier2:jamendo:7258",
     "tier": "tier2",
-    "title": "Jamendo 7258",
-    "artist": "artist_001058",
+    "title": "Reviens-moi",
+    "artist": "FrenchLAB (French Laboratory Of)",
     "primary_genre": "Classical",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/7258",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/7258",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=1098&width=300&trackid=7258",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "7258"
+      "jamendoTrackId": "7258",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=7258&format=mp31&from=lkVDWEtJUtgBn%2B87qOHo%2Fg%3D%3D%7CbbB1NWytGHLrU0aM5e%2FVlQ%3D%3D",
+      "jamendoAlbum": "Mysterious Sounds"
     }
   },
   {
     "track_id": "tier2:jamendo:1332",
     "tier": "tier2",
-    "title": "Jamendo 1332",
-    "artist": "artist_000224",
+    "title": "Slap Violin",
+    "artist": "L'Onomatopeur",
     "primary_genre": "Electronic",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/1332",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/1332",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=204&width=300&trackid=1332",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "1332"
+      "jamendoTrackId": "1332",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=1332&format=mp31&from=RWrW8or%2FENzPcnOzxNfU4g%3D%3D%7CZopK8PZC3ltCYMrZYZtF5Q%3D%3D",
+      "jamendoAlbum": "Always Beating"
     }
   },
   {
     "track_id": "tier2:jamendo:74271",
     "tier": "tier2",
-    "title": "Jamendo 74271",
-    "artist": "artist_002443",
+    "title": "Ni pensarte",
+    "artist": "LaBarcaDeSua",
     "primary_genre": "Folk",
     "source": "jamendo",
     "source_url": "https://www.jamendo.com/track/74271",
-    "track_view_url": null,
+    "track_view_url": "https://www.jamendo.com/track/74271",
     "attribution_required": false,
     "license_short": "MTG-Jamendo (Creative Commons)",
-    "artwork_url": null,
+    "artwork_url": "https://usercontent.jamendo.com?type=album&id=6596&width=300&trackid=74271",
     "duration_ms": null,
     "external_ids": {
-      "jamendoTrackId": "74271"
+      "jamendoTrackId": "74271",
+      "jamendoAudioUrl": "https://prod-1.storage.jamendo.com/?trackid=74271&format=mp31&from=EBnDoU%2FSHR6Dq%2BcO2opA7A%3D%3D%7CaKdeW2%2B%2Fo%2F79JAkloE0xIw%3D%3D",
+      "jamendoAlbum": "Artilugios para abrir un cuento"
     }
   }
 ]

corpus/embeddings.npy

@@ -1,3 +1,3 @@
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corpus/eval.json

@@ -1,9 +1,9 @@
 {
   "metrics": {
-    "recall_at_1": 0.39375,
-    "recall_at_3": 0.49375,
-    "mrr": 0.458499503968254,
-    "n_queries": 160
+    "recall_at_1": 0.6387096774193548,
+    "recall_at_3": 0.7354838709677419,
+    "mrr": 0.6922759856630825,
+    "n_queries": 155
   },
   "negatives_histogram": {
     "bins": [
@@ -42,21 +42,21 @@
       0,
       0,
       0,
-      0,
-      0,
-      0,
-      0,
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+      8,
+      13,
+      11,
+      7,
+      3
     ],
     "step": 0.05
   },
   "latency": {
-    "p50_ms": 0.282,
-    "p95_ms": 0.389,
-    "p99_ms": 0.389,
+    "p50_ms": 0.266,
+    "p95_ms": 0.741,
+    "p99_ms": 0.741,
     "n_samples": 20,
     "note": "Wall-clock per /neighbors ranking call against the in-memory catalog. Excludes audio decode + CLAP encode (those are bounded by file size, not index size)."
   },
@@ -67,12 +67,12 @@
   "methodology": "Retrieval check - leave-one-out over the existing catalog. Each catalog track is used as a query embedding while that exact row is held out of the index; the system then ranks the remaining catalog tracks with the same mean-pooled CLAP cosine used by the live /neighbors endpoint. Recall@k and MRR count whether another track by the same artist appears in the top-k. Because each LOO query has at most one ground-truth target, Precision@1 equals Recall@1 here; we report Recall@k by convention and Precision@k = Recall@k / k for any k. Latency is wall-clock per /neighbors ranking call against the in-memory catalog. Groundedness (entity extraction from generated text) is not applicable - this system retrieves, it does not generate. The histogram is a LOO top-1 score distribution for queries that did not retrieve a same-artist track at rank 1.",
   "limitations": "This is a retrieval sanity check, not a definitive AI-generation eval. It does not use Suno generations or unrelated human-labeled negatives, so the histogram should not be read as a production false-positive distribution. Many catalog artists have only one track, which makes same-artist recall strict and depresses the headline metrics. The check is still useful because it is reproducible, uses the shipped catalog, and exercises the same similarity path as the demo.",
   "manifest": {
-    "model_sha": "a0b4534a14f58e20944452dff00a22a06ce629d1",
-    "generated_at": "2026-06-12T06:02:04.559044+00:00",
-    "n_positives": 160,
+    "model_sha": "2e01c796b71dca71b45251384c04cd7b237c9020",
+    "generated_at": "2026-06-13T18:23:37.060991+00:00",
+    "n_positives": 155,
     "n_negatives": 0,
     "eval_mode": "loo",
     "threshold_default": 0.7,
-    "golden_set_version": "corpus@a0b4534a14f5"
+    "golden_set_version": "corpus@2e01c796b71d"
   }
 }

corpus/manifest.json

@@ -1,6 +1,6 @@
 {
-  "model_id": "laion/larger_clap_music",
-  "model_sha": "a0b4534a14f58e20944452dff00a22a06ce629d1",
+  "model_id": "OpenMuQ/MuQ-MuLan-large",
+  "model_sha": "2e01c796b71dca71b45251384c04cd7b237c9020",
   "embedding_dim": 512,
   "window_seconds": 10,
   "query_max_seconds": 90,
@@ -8,16 +8,16 @@
   "threshold_default": 0.7,
   "tier_counts": {
     "tier1": 10,
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-  "generated_at": "2026-06-12T02:48:56.647799+00:00",
+  "generated_at": "2026-06-13T18:11:59.861169+00:00",
   "sha256": {
     "files": {
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-      "embeddings.npy": "81dab4a97dceccc09460e18e4c9f207e0bcbccca774b8f86045dd5d2f3639ec8",
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       "examples.json": "37517e5f3dc66819f61f5a7bb8ace1921282415f10551d2defa5c3eb0985b570",
-      "segment_embeddings.npz": "2c8e9b150bc380192281bc0564e5439010a5189007f26eb2db9d4ce10eacdc15"
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+    "combined": "1eb424e6c2def846424875738d9c1812ad758e7ac01aea97852e6e9dce547747"
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corpus/segment_embeddings.npz

@@ -1,3 +1,3 @@
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requirements.txt

@@ -9,6 +9,8 @@ librosa>=0.10
 transformers>=4.45
 tqdm>=4.66
 datasets>=3.0
+# ADR-0002: MuQ-MuLan audio encoder. ~700M params, CC-BY-NC 4.0.
+muq>=0.1
 # ACRCloud client (Phase 5) + YAML for any catalog rebuild from the container.
 httpx>=0.27
 pyyaml>=6.0