diff --git "a/scores.json" "b/scores.json"
--- "a/scores.json"
+++ "b/scores.json"
@@ -1,7 +1,7 @@
 {
   "schema_version": 2,
   "model": "llm-semantic-router/Vela-1.0-Omni-Nano",
-  "revision_semantics": "self denotes this published inference package; evaluated_* identities retain original measurements. The exact public-inference equivalence report binds score applicability.",
+  "revision_semantics": "self denotes the released native package. Each benchmark retains its actual evaluated artifact; exact unchanged-component applicability is explicit.",
   "score_scale": "0-1; multiply by 100 for percentages",
   "matrix": {
     "small": {
@@ -84,37 +84,39 @@
     "candidate": {
       "model": "llm-semantic-router/Vela-1.0-Omni-Nano",
       "revision": "self",
-      "artifact_fingerprint_sha256": "50ce808197fb43a1b8913a66d4a47339ec66ecd10d52cbd9f9e752d02f8c43fa",
+      "artifact_fingerprint_sha256": "474ad3d52f6ee7f818a3dbb6112e3d66c2423542d08228e7996a8cd600bd99a2",
+      "evaluated_native_artifact_sha256": "474ad3d52f6ee7f818a3dbb6112e3d66c2423542d08228e7996a8cd600bd99a2",
+      "parameters": 163771288,
       "metrics": {
         "audio.audio_to_text.recall@1": {
           "denominator": 2611,
-          "numerator": 448,
-          "value": 0.17158176943699732
+          "numerator": 421,
+          "value": 0.1612409038682497
         },
         "audio.audio_to_text.recall@10": {
           "denominator": 2611,
-          "numerator": 1227,
-          "value": 0.469934890846419
+          "numerator": 1191,
+          "value": 0.45614707008808886
         },
         "audio.audio_to_text.recall@5": {
           "denominator": 2611,
-          "numerator": 957,
-          "value": 0.36652623515894295
+          "numerator": 909,
+          "value": 0.34814247414783606
         },
         "audio.text_to_audio.recall@1": {
           "denominator": 2610,
-          "numerator": 664,
-          "value": 0.25440613026819925
+          "numerator": 531,
+          "value": 0.20344827586206896
         },
         "audio.text_to_audio.recall@10": {
           "denominator": 2610,
-          "numerator": 1459,
-          "value": 0.5590038314176246
+          "numerator": 1321,
+          "value": 0.5061302681992337
         },
         "audio.text_to_audio.recall@5": {
           "denominator": 2610,
-          "numerator": 1204,
-          "value": 0.46130268199233715
+          "numerator": 1043,
+          "value": 0.3996168582375479
         },
         "image.image_to_text.recall@1": {
           "denominator": 823,
@@ -156,12 +158,7 @@
           "numerator": 2436,
           "value": 0.819650067294751
         }
-      },
-      "parameters": 135383808,
-      "evaluated_native_artifact_sha256": "96d76f97478e114b816df3ab1b3c6947e4c5ef0babfb40ab865d7e3c838d34c4",
-      "evaluated_revision": "de02c367bc9aa7a6f7ad3e59fb38962502e021c1",
-      "evaluated_parameters": 144554112,
-      "inference_equivalence_report": "benchmarks/inference-equivalence.json"
+      }
     }
   },
   "datasets": {
@@ -220,226 +217,133 @@
     "ties": "lexicographic candidate ID",
     "retrieval": "complete candidate pools; all annotated positives",
     "classification": "Nearest normalized mean class prototype from labeled training examples; the original small comparator has task-adapted history, while current GIST is frozen.",
-    "aggregation": "Each family is the mean of its two primary metrics; utility is the mean of all six primaries. Retrieval primaries are R@1; R@5 and R@10 are reported separately.",
+    "aggregation": "Exact per-metric counts; the product common aggregate averages all fourteen metrics with equal text/image/audio family weights (2/6/6 metrics). Historical paired family/utility intervals retain their original definitions.",
     "evaluation_scope": "fixed test-split evaluation pools reused across releases",
-    "text_training_scope": "Current GIST text tower is frozen; supervised training prototypes are recomputed under the fixed common protocol. The earlier small comparator has task-adapted history. This is not the official MTEB classification protocol."
+    "text_training_scope": "Current GIST text tower is frozen; supervised training prototypes are recomputed under the fixed common protocol. The earlier small comparator has task-adapted history. This is not the official MTEB classification protocol.",
+    "audio_preprocessing": "Original PCM is separately resampled to 16 kHz for Whisper and 48 kHz for CLAP; official evaluation resamples before applying its 30-second cap. Public API rejects inputs longer than 30 seconds."
   },
   "paired_uncertainty": {
-    "original": {
-      "intervals": {
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-          "upper": 0.14665221762155492
-        },
-        "audio.audio_to_text.recall@10": {
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-        },
-        "audio.audio_to_text.recall@5": {
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-          "upper": 0.2736971153456769
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-          "upper": 0.17613425616168824
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-          "upper": 0.2707672328928673
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-        "audio.text_to_audio.recall@5": {
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-          "point_delta": 0.23601532567049807,
-          "upper": 0.2547919081648684
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-          "upper": 0.15644009735751394
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-          "upper": 0.17869785413173905
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-        "image.image_to_text.recall@1": {
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-          "point_delta": 0.20048602673147023,
-          "upper": 0.24301336573511542
-        },
-        "image.image_to_text.recall@10": {
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-          "upper": 0.19441069258809235
-        },
-        "image.image_to_text.recall@5": {
-          "lower": 0.16160388821385177,
-          "point_delta": 0.19927095990279464,
-          "upper": 0.23572296476306198
-        },
-        "image.text_to_image.recall@1": {
-          "lower": 0.23013365735115432,
-          "point_delta": 0.25637910085054677,
-          "upper": 0.2831166464155528
-        },
-        "image.text_to_image.recall@10": {
-          "lower": 0.17618469015795868,
-          "point_delta": 0.1997569866342649,
-          "upper": 0.22235722964763063
-        },
-        "image.text_to_image.recall@5": {
-          "lower": 0.23207776427703525,
-          "point_delta": 0.2580801944106926,
-          "upper": 0.28360267314702303
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-        "text.banking77.accuracy": {
-          "lower": 0.16066212268743915,
-          "point_delta": 0.17564935064935064,
-          "upper": 0.19058596303826084
-        },
-        "text.massive-en.accuracy": {
-          "lower": 0.14554621848739496,
-          "point_delta": 0.1601615074024226,
-          "upper": 0.17569841804106362
+    "scope": "Fresh paired intervals compare this candidate with the preceding Vela Nano computation. They are not an interval for the all-14 aggregate or the weighted net. An original-small interval was not recomputed for this update.",
+    "previous_release": {
+      "published_fingerprint": "50ce808197fb43a1b8913a66d4a47339ec66ecd10d52cbd9f9e752d02f8c43fa",
+      "evaluated_fingerprint": "96d76f97478e114b816df3ab1b3c6947e4c5ef0babfb40ab865d7e3c838d34c4",
+      "result": {
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+            "point_delta": -0.010340865568747606,
+            "upper": -0.001484096923424178
+          },
+          "audio.audio_to_text.recall@10": {
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+            "point_delta": -0.013787820758330141,
+            "upper": -0.001602915531368321
+          },
+          "audio.audio_to_text.recall@5": {
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+            "point_delta": -0.018383761011106857,
+            "upper": -0.007289100963896155
+          },
+          "audio.text_to_audio.recall@1": {
+            "lower": -0.06884900952272836,
+            "point_delta": -0.050957854406130265,
+            "upper": -0.03441425975371444
+          },
+          "audio.text_to_audio.recall@10": {
+            "lower": -0.07240471605447092,
+            "point_delta": -0.052873563218390804,
+            "upper": -0.03213863952299779
+          },
+          "audio.text_to_audio.recall@5": {
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+            "point_delta": -0.061685823754789273,
+            "upper": -0.044619605933086656
+          },
+          "family.audio": {
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+            "upper": -0.02150226739148048
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+          "family.image": {
+            "lower": 0.0,
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+          "family.text": {
+            "lower": 0.0,
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+          },
+          "image.image_to_text.recall@1": {
+            "lower": 0.0,
+            "point_delta": 0.0,
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+          },
+          "image.image_to_text.recall@10": {
+            "lower": 0.0,
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+          },
+          "image.image_to_text.recall@5": {
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+          },
+          "image.text_to_image.recall@1": {
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+          "image.text_to_image.recall@10": {
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+          "image.text_to_image.recall@5": {
+            "lower": 0.0,
+            "point_delta": 0.0,
+            "upper": 0.0
+          },
+          "text.banking77.accuracy": {
+            "lower": 0.0,
+            "point_delta": 0.0,
+            "upper": 0.0
+          },
+          "text.massive-en.accuracy": {
+            "lower": 0.0,
+            "point_delta": 0.0,
+            "upper": 0.0
+          },
+          "utility": {
+            "lower": -0.013198369478980442,
+            "point_delta": -0.010216453329146313,
+            "upper": -0.0071674224638268265
+          }
         },
-        "utility": {
-          "lower": 0.16995251624973068,
-          "point_delta": 0.18012483206814003,
-          "upper": 0.1910563694034248
-        }
-      },
-      "method": "paired stratified group percentile; PCG64; fixed candidate pools",
-      "replicates": 2000,
-      "seed": 20260918,
-      "comparison": {
-        "candidate": "llm-semantic-router/Vela-1.0-Omni-Nano",
-        "candidate_artifact_fingerprint_sha256": "96d76f97478e114b816df3ab1b3c6947e4c5ef0babfb40ab865d7e3c838d34c4",
-        "baseline": "llm-semantic-router/multi-modal-embed-small",
-        "baseline_revision": "fdf8e01b7b0f3a69ac1ac8e2a64dcb1ede177ba4",
-        "baseline_artifact_fingerprint_sha256": "684fe0c48a4ddd3944167f6e5dc75e97ada24e5b120bd9a2921f00dc03112eeb"
+        "method": "paired stratified group percentile; PCG64; fixed candidate pools",
+        "replicates": 2000,
+        "seed": 20260918
       }
     },
-    "previous": {
-      "intervals": {
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-          "lower": 0.06612466882994839,
-          "point_delta": 0.08157793948678667,
-          "upper": 0.0967748551165683
-        },
-        "audio.audio_to_text.recall@10": {
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-          "upper": 0.18059527375151307
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-        "audio.text_to_audio.recall@1": {
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-          "upper": 0.13014135201210755
-        },
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-          "upper": -0.012150668286755772
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-          "upper": 0.002430133657351154
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-          "upper": 0.004860267314702308
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-        "image.text_to_image.recall@1": {
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-          "point_delta": 0.027460510328068045,
-          "upper": 0.042770352369380316
-        },
-        "image.text_to_image.recall@10": {
-          "lower": 0.001215066828675577,
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-          "upper": 0.014580801944106925
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-        "image.text_to_image.recall@5": {
-          "lower": -0.001701093560145808,
-          "point_delta": 0.010206561360874849,
-          "upper": 0.02187120291616039
-        },
-        "text.banking77.accuracy": {
-          "lower": 0.0990581357583631,
-          "point_delta": 0.11168831168831168,
-          "upper": 0.12439713161970098
-        },
-        "text.massive-en.accuracy": {
-          "lower": 0.1117468865701784,
-          "point_delta": 0.12617765814266488,
-          "upper": 0.14069455352356733
-        },
-        "utility": {
-          "lower": 0.060760442670994376,
-          "point_delta": 0.06894884308970196,
-          "upper": 0.07704865461098383
-        }
-      },
-      "method": "paired stratified group percentile; PCG64; fixed candidate pools",
-      "replicates": 2000,
-      "seed": 20260918,
-      "comparison": {
-        "candidate": "llm-semantic-router/Vela-1.0-Omni-Nano",
-        "candidate_artifact_fingerprint_sha256": "96d76f97478e114b816df3ab1b3c6947e4c5ef0babfb40ab865d7e3c838d34c4",
-        "baseline": "llm-semantic-router/Vela-1.0-Omni-Nano",
-        "baseline_revision": "3a1efc48995e2b71622d65c6cf71cfc00bbf3aa3",
-        "baseline_artifact_fingerprint_sha256": "fb9cd39c9980a085b75456c715c2295b997784fe733314be68c13635f6384edf"
-      }
+    "original_small": {
+      "status": "not_recomputed_for_this_update",
+      "value": null
     }
   },
   "training_scope": {
     "text": "The complete text tower is the frozen official avsolatorio/GIST-small-Embedding-v0 checkpoint at 75e62fd210b9fde790430e0b2f040b0b00a021b1. Its model card discloses MTEB classification training data; no claim of independent pretraining data is made.",
     "image": "Frozen current vision encoder and initial image head; an orthogonal shared-space rotation is trained on 16,509 COCO training images, 81,998 unique caption texts and 82,522 complete positive associations, then folded into the image affine head.",
-    "audio": "Frozen current speech encoder and initial audio head; a separate orthogonal shared-space rotation is trained on 28,535 LibriSpeech train-clean-100 clips and all positive transcript associations, then folded into the audio affine head.",
-    "procedure": "One fixed 300-step run; only the final artifact is reported. Encoders remain frozen. The two rotations preserve within-modality inner products, up to floating-point rounding.",
-    "evaluation_scope": "Common text classification uses labeled training prototypes with the earlier task-adapted comparator. It is separate from the official frozen-encoder MTEB classification protocols."
+    "audio": "The existing Whisper Tiny encoder and affine head stay frozen. A frozen CLAP audio tower and a 384×512 residual projection are added; only that projection is trained for one fixed 600-step run. Speech alignment and a pointwise parent anchor use 28,535 LibriSpeech TRAIN clips; known-positive event labels and CLAP relational geometry use 3,299 FSD50K TRAIN clips. Center/scale and the geometry coefficient use TRAIN only.",
+    "procedure": "One fixed final-600-step residual artifact; no held-out benchmark examples fit the projection, statistics or coefficient. Full benchmark outcomes and regressions are retained.",
+    "evaluation_scope": "Common text classification uses labeled training prototypes with the earlier task-adapted comparator. It is separate from the official frozen-encoder MTEB classification protocols.",
+    "prior_alignment_history": {
+      "text": "The complete text tower is the frozen official avsolatorio/GIST-small-Embedding-v0 checkpoint at 75e62fd210b9fde790430e0b2f040b0b00a021b1. Its model card discloses MTEB classification training data; no claim of independent pretraining data is made.",
+      "image": "Frozen current vision encoder and initial image head; an orthogonal shared-space rotation is trained on 16,509 COCO training images, 81,998 unique caption texts and 82,522 complete positive associations, then folded into the image affine head.",
+      "audio": "Frozen current speech encoder and initial audio head; a separate orthogonal shared-space rotation is trained on 28,535 LibriSpeech train-clean-100 clips and all positive transcript associations, then folded into the audio affine head.",
+      "procedure": "One fixed 300-step run; only the final artifact is reported. Encoders remain frozen. The two rotations preserve within-modality inner products, up to floating-point rounding.",
+      "evaluation_scope": "Common text classification uses labeled training prototypes with the earlier task-adapted comparator. It is separate from the official frozen-encoder MTEB classification protocols."
+    },
+    "event_labels": "149 labels with TRAIN support and 7,690 known-positive associations. Unannotated labels are not negatives; label names are weak class supervision, not observed clip captions."
   },
   "descriptive_metrics": {
     "definition": "Macro-F1 is the unweighted mean of per-class F1 across all fixed prototype classes; zero_division=0.",
@@ -469,6 +373,993 @@
           "queries": 2972
         }
       }
+    },
+    "candidate_per_class": {
+      "banking77": {
+        "accuracy": {
+          "denominator": 3080,
+          "numerator": 2710,
+          "value": 0.8798701298701299
+        },
+        "evaluated_classes": 77,
+        "macro_f1": 0.8791681858119436,
+        "macro_f1_class_universe": "all fixed prototype classes; zero_division=0",
+        "per_class": {
+          "Refund_not_showing_up": {
+            "f1": 0.9512195121951219,
+            "fn": 1,
+            "fp": 3,
+            "support": 40,
+            "tp": 39
+          },
+          "activate_my_card": {
+            "f1": 0.935064935064935,
+            "fn": 4,
+            "fp": 1,
+            "support": 40,
+            "tp": 36
+          },
+          "age_limit": {
+            "f1": 1.0,
+            "fn": 0,
+            "fp": 0,
+            "support": 40,
+            "tp": 40
+          },
+          "apple_pay_or_google_pay": {
+            "f1": 1.0,
+            "fn": 0,
+            "fp": 0,
+            "support": 40,
+            "tp": 40
+          },
+          "atm_support": {
+            "f1": 0.9382716049382716,
+            "fn": 2,
+            "fp": 3,
+            "support": 40,
+            "tp": 38
+          },
+          "automatic_top_up": {
+            "f1": 0.8918918918918919,
+            "fn": 7,
+            "fp": 1,
+            "support": 40,
+            "tp": 33
+          },
+          "balance_not_updated_after_bank_transfer": {
+            "f1": 0.7407407407407407,
+            "fn": 10,
+            "fp": 11,
+            "support": 40,
+            "tp": 30
+          },
+          "balance_not_updated_after_cheque_or_cash_deposit": {
+            "f1": 0.9285714285714286,
+            "fn": 1,
+            "fp": 5,
+            "support": 40,
+            "tp": 39
+          },
+          "beneficiary_not_allowed": {
+            "f1": 0.7246376811594203,
+            "fn": 15,
+            "fp": 4,
+            "support": 40,
+            "tp": 25
+          },
+          "cancel_transfer": {
+            "f1": 0.95,
+            "fn": 2,
+            "fp": 2,
+            "support": 40,
+            "tp": 38
+          },
+          "card_about_to_expire": {
+            "f1": 0.9523809523809523,
+            "fn": 0,
+            "fp": 4,
+            "support": 40,
+            "tp": 40
+          },
+          "card_acceptance": {
+            "f1": 0.9069767441860465,
+            "fn": 1,
+            "fp": 7,
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+          "recommendation_movies": {
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+          "social_post": {
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+            "fp": 1,
+            "support": 81,
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+          "social_query": {
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+            "fp": 15,
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+            "tp": 23
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+          "takeaway_order": {
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+            "fp": 9,
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+        "prototype_classes": 60
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   },
   "standard_benchmarks": {
@@ -479,15 +1370,11 @@
       "nano": {
         "repo_id": "llm-semantic-router/Vela-1.0-Omni-Nano",
         "revision": "self",
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-        "parameters": 135383808,
+        "native_artifact_sha256": "474ad3d52f6ee7f818a3dbb6112e3d66c2423542d08228e7996a8cd600bd99a2",
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         "embedding_dimensions": 384,
         "max_text_tokens": 512,
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-        "evaluated_parameters": 144554112,
-        "inference_equivalence_report": "benchmarks/inference-equivalence.json",
-        "revision_kind": "HF_snapshot"
+        "applicability": "Each row states whether the full artifact was freshly evaluated or an exact unchanged component applies."
       },
       "small": {
         "repo_id": "llm-semantic-router/multi-modal-embed-small",
@@ -507,7 +1394,7 @@
       "classification": "Official task-specific frozen-embedding probes or fixed-label zero-shot classification.",
       "sampling": "Official task subsampling and repeated-probe protocols are preserved.",
       "text": "Each encoder uses its native preprocessing and context limit without added task instructions. Original small: 128 tokens; current Nano: 512 tokens.",
-      "audio": "Mono 16 kHz, first 30 seconds, official MTEB audio preprocessing.",
+      "audio": "Current Nano: original PCM independently resampled to 16/48 kHz for speech/CLAP, then downmixed and capped at 30 seconds. Original small: official mono 16 kHz path. The official task algorithms, samples and seed are identical.",
       "score_scale": "Metrics retain their native MTEB scale; the model card multiplies primary scores by 100.",
       "undefined_metric": null,
       "missing_model_score": "Not measured in this standard evaluation.",
@@ -574,8 +1461,16 @@
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             "kind": "direct_frozen_encoder_evaluation"
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         "task": "STSBenchmark",
@@ -637,8 +1532,16 @@
             "original_checkpoint_revision": "fdf8e01b7b0f3a69ac1ac8e2a64dcb1ede177ba4",
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         "task": "ArguAna",
@@ -981,8 +1884,16 @@
             "original_checkpoint_revision": "fdf8e01b7b0f3a69ac1ac8e2a64dcb1ede177ba4",
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+        "applicable_native_fingerprint": "474ad3d52f6ee7f818a3dbb6112e3d66c2423542d08228e7996a8cd600bd99a2",
+        "measurement_kind": "exact_component_applicability"
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       {
         "task": "TwentyNewsgroupsClustering.v2",
@@ -1096,8 +2007,16 @@
             "original_checkpoint_revision": "fdf8e01b7b0f3a69ac1ac8e2a64dcb1ede177ba4",
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             "kind": "direct_frozen_encoder_evaluation"
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         "task": "MTOPDomainClassification",
@@ -1388,8 +2307,16 @@
             "original_checkpoint_revision": "fdf8e01b7b0f3a69ac1ac8e2a64dcb1ede177ba4",
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         "task": "MTOPDomainClassification",
@@ -1680,8 +2607,16 @@
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         "task": "OxfordPets",
@@ -1862,8 +2797,16 @@
             "original_checkpoint_revision": "fdf8e01b7b0f3a69ac1ac8e2a64dcb1ede177ba4",
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         "task": "TinyImageNetClustering",
@@ -1917,8 +2860,16 @@
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@@ -1984,8 +2935,16 @@
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@@ -2006,83 +2965,83 @@
           "probe_samples_per_label": 8
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               "eng-Latn"
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@@ -2278,8 +3247,18 @@
             "original_checkpoint_revision": "fdf8e01b7b0f3a69ac1ac8e2a64dcb1ede177ba4",
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             "kind": "direct_frozen_encoder_evaluation"
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           }
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       {
         "task": "SpeechCommandsZeroshotv0.02",
@@ -2300,26 +3279,26 @@
           "fixed_text_labels": 10
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         "scores": {
-          "nano": 0.1411389297987236,
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             "languages": [
               "eng-Latn"
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@@ -2345,18 +3324,28 @@
             "original_checkpoint_revision": "fdf8e01b7b0f3a69ac1ac8e2a64dcb1ede177ba4",
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       "baseline_native_artifact_sha256": "684fe0c48a4ddd3944167f6e5dc75e97ada24e5b120bd9a2921f00dc03112eeb",
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       "card_bold": "Only unrounded gains against this original baseline are bold; missing baseline scores imply no comparison."
     },
-    "observation_scope": "Only this model is reported; original comparator has no observations in the fixed11 protocol. Evaluated/applicable identities are preserved.",
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@@ -2527,66 +3516,48 @@
         }
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@@ -2596,1055 +3567,85 @@
     "tokens_include_special_tokens": true,
     "public_text_overflow": "Raises ValueError; shorten or explicitly chunk longer inputs.",
     "embedding_dimensions": 384,
-    "parameters": 135383808
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+    "audio_sample_rates": [
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@@ -3697,21 +3698,15 @@
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