{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VIEVKEA6UBNEGO4V4VMX2HFT5F","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":"4ffa9bcb25488a8d2af81bd183d77232b9f9cfa9163a9b0545732adefd4b187c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-04T14:50:12Z","title_canon_sha256":"382fb5d67ecf07b4dbb84efbe91af5426c82ccaa4ef09f6ea501c73912500945"},"schema_version":"1.0","source":{"id":"2502.02366","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.02366","created_at":"2026-07-05T10:09:27Z"},{"alias_kind":"arxiv_version","alias_value":"2502.02366v1","created_at":"2026-07-05T10:09:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.02366","created_at":"2026-07-05T10:09:27Z"},{"alias_kind":"pith_short_12","alias_value":"VIEVKEA6UBNE","created_at":"2026-07-05T10:09:27Z"},{"alias_kind":"pith_short_16","alias_value":"VIEVKEA6UBNEGO4V","created_at":"2026-07-05T10:09:27Z"},{"alias_kind":"pith_short_8","alias_value":"VIEVKEA6","created_at":"2026-07-05T10:09:27Z"}],"graph_snapshots":[{"event_id":"sha256:c433828062a5b5647189689651e569cbf47c28603e02ba2c927a3da313644cdf","target":"graph","created_at":"2026-07-05T10:09:27Z","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/2502.02366/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised learning (SSL) algorithms have emerged as powerful tools that can leverage large quantities of unlabeled audio data to pre-train robust representations that support strong performance on diverse downstream tasks. Up to now these have mostly been developed separately for speech and non-speech applications. Here, we explored the domain specificity of a convolutional model's pre-training data relative to different downstream speech and non-speech tasks using a self-supervised pre-training approach (BYOL-A). We found that these pre-trained models (regardless of whether they were pr","authors_text":"Mattson Ogg","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-04T14:50:12Z","title":"Self-Supervised Convolutional Audio Models are Flexible Acoustic Feature Learners: A Domain Specificity and Transfer-Learning Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.02366","kind":"arxiv","version":1},"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":"sha256:62db72e52fdae503934e7758163ba7436b8f2adffe195035773326818a4a15ba","target":"record","created_at":"2026-07-05T10:09:27Z","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":"4ffa9bcb25488a8d2af81bd183d77232b9f9cfa9163a9b0545732adefd4b187c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-04T14:50:12Z","title_canon_sha256":"382fb5d67ecf07b4dbb84efbe91af5426c82ccaa4ef09f6ea501c73912500945"},"schema_version":"1.0","source":{"id":"2502.02366","kind":"arxiv","version":1}},"canonical_sha256":"aa0955101ea05a433b95e5597d1cb3e97c2793d55685479bc80a0f8d383639cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa0955101ea05a433b95e5597d1cb3e97c2793d55685479bc80a0f8d383639cf","first_computed_at":"2026-07-05T10:09:27.614124Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:09:27.614124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bios0Rx0Hb3a1Q2CmkNX0veWfqG57qP8F9UcSCuzRoysx79tjCIWu9jRRhkXiWTBM55/xrUr+w4MPT5p0E6/Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T10:09:27.614615Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.02366","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62db72e52fdae503934e7758163ba7436b8f2adffe195035773326818a4a15ba","sha256:c433828062a5b5647189689651e569cbf47c28603e02ba2c927a3da313644cdf"],"state_sha256":"b568fd3c852db5a482883dc6f25982e333edc347266ab0adb34dc154df1fabce"}