{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GTDHTVB5BY4BIGE5RDPCVX3ESU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8ca81450dbfd41de9e06be8c7b065d12e7554fd5b8e9359531f4e1aa46d8753e","cross_cats_sorted":["cs.IR","cs.LG","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-02-23T12:32:53Z","title_canon_sha256":"65cab2599b394680e75fc9a2bddf929f8a7a1649f68c47555819c8e571ffabde"},"schema_version":"1.0","source":{"id":"2602.19778","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.19778","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"arxiv_version","alias_value":"2602.19778v4","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.19778","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"pith_short_12","alias_value":"GTDHTVB5BY4B","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"pith_short_16","alias_value":"GTDHTVB5BY4BIGE5","created_at":"2026-06-30T02:17:16Z"},{"alias_kind":"pith_short_8","alias_value":"GTDHTVB5","created_at":"2026-06-30T02:17:16Z"}],"graph_snapshots":[{"event_id":"sha256:6532bbea0f417a6069de0d36d0663c285144e4fb51dcae290e8d0268f9cc1727","target":"graph","created_at":"2026-06-30T02:17:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2602.19778/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic Chord Recognition (ACR) is constrained by the scarcity of aligned chord labels, as well-aligned annotations are costly to acquire. At the same time, open-weight pre-trained models are more accessible than their proprietary training data. In this work, we present a two-stage training pipeline that leverages pre-trained models together with unlabeled audio. The proposed method decouples training into two stages. In the first stage, we use a pre-trained BTC model as a teacher to generate pseudo-labels for over 1,000 hours of diverse unlabeled audio and train a student model solely on th","authors_text":"Gang Liu, Nghia Phan, Rong Jin, Xiao Dong","cross_cats":["cs.IR","cs.LG","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-02-23T12:32:53Z","title":"Enhancing Automatic Chord Recognition via Pseudo-Labeling and Knowledge Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.19778","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e6a718d4912b86651a1d06d0eb8327571814911eb10ba64d1f14ad0791dfa20f","target":"record","created_at":"2026-06-30T02:17:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8ca81450dbfd41de9e06be8c7b065d12e7554fd5b8e9359531f4e1aa46d8753e","cross_cats_sorted":["cs.IR","cs.LG","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-02-23T12:32:53Z","title_canon_sha256":"65cab2599b394680e75fc9a2bddf929f8a7a1649f68c47555819c8e571ffabde"},"schema_version":"1.0","source":{"id":"2602.19778","kind":"arxiv","version":4}},"canonical_sha256":"34c679d43d0e3814189d88de2adf649529f1baa34166050023f9089b8f4f7545","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34c679d43d0e3814189d88de2adf649529f1baa34166050023f9089b8f4f7545","first_computed_at":"2026-06-30T02:17:16.625882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T02:17:16.625882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aNSK6dM2Ys30xtc14c2jO6ibRAOmNuIGKTnjaf29G21xXC9sHtaB9FCGU6bZksIFiZTWsMjHFXHcWXw61F4DBQ==","signature_status":"signed_v1","signed_at":"2026-06-30T02:17:16.626420Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.19778","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6a718d4912b86651a1d06d0eb8327571814911eb10ba64d1f14ad0791dfa20f","sha256:6532bbea0f417a6069de0d36d0663c285144e4fb51dcae290e8d0268f9cc1727"],"state_sha256":"70f2baf00a2c8b7120190a18551f1aad9cdbae9356d6fa9c6fc9b1bfdfe9778b"}