{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NSSZUMHUDWECQJ4JEMH6VLI2GT","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":"e71d4f0a362016f9fd56e7665454f33c4be781ab70da8e60be99f7cf989b826d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-27T20:03:47Z","title_canon_sha256":"a026f7b4a65847f89289e3543d57da38b44f36867bf74ecb6779a278fbb170b2"},"schema_version":"1.0","source":{"id":"2607.27245","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27245","created_at":"2026-07-31T00:10:24Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27245v1","created_at":"2026-07-31T00:10:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27245","created_at":"2026-07-31T00:10:24Z"},{"alias_kind":"pith_short_12","alias_value":"NSSZUMHUDWEC","created_at":"2026-07-31T00:10:24Z"},{"alias_kind":"pith_short_16","alias_value":"NSSZUMHUDWECQJ4J","created_at":"2026-07-31T00:10:24Z"},{"alias_kind":"pith_short_8","alias_value":"NSSZUMHU","created_at":"2026-07-31T00:10:24Z"}],"graph_snapshots":[{"event_id":"sha256:8929fb1d635d59f6644b9c57e1a96a747973f0157b0a228408cf2e23b90c7d7f","target":"graph","created_at":"2026-07-31T00:10:24Z","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/2607.27245/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern policing faces a \"visibility paradox\" where law enforcement agencies possess petabytes of Body-Worn Camera (BWC) footage that remains largely unutilized for accountability or systemic review due to the prohibitive labor costs of manual transcription. This research presents a framework for adapting the OpenAI Whisper architecture to the unique acoustic and linguistic challenges of the policing environment. By employing Parameter-Efficient Fine-Tuning (PEFT) through Low-Rank Adaptation (LoRA), we address the significant performance degradation observed in zero-shot models when confronted ","authors_text":"Ernest Fokou\\'e, Vivek Senthil, Zhiqiang Tao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-27T20:03:47Z","title":"Enhancing Law-Enforcement Audio Transcription: A LoRA-Based Adaptation of Whisper for BWC Footage"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27245","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":"sha256:60ae88cfed7e2ee73aea744d8ca7476a271ce5ea0a6583f08137747d2ec5e5dd","target":"record","created_at":"2026-07-31T00:10:24Z","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":"e71d4f0a362016f9fd56e7665454f33c4be781ab70da8e60be99f7cf989b826d","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-07-27T20:03:47Z","title_canon_sha256":"a026f7b4a65847f89289e3543d57da38b44f36867bf74ecb6779a278fbb170b2"},"schema_version":"1.0","source":{"id":"2607.27245","kind":"arxiv","version":1}},"canonical_sha256":"6ca59a30f41d88282789230feaad1a34d388511ae8c68699570a673d5abaf1ed","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ca59a30f41d88282789230feaad1a34d388511ae8c68699570a673d5abaf1ed","first_computed_at":"2026-07-31T00:10:24.381506Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T00:10:24.381506Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27245","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:60ae88cfed7e2ee73aea744d8ca7476a271ce5ea0a6583f08137747d2ec5e5dd","sha256:8929fb1d635d59f6644b9c57e1a96a747973f0157b0a228408cf2e23b90c7d7f"],"state_sha256":"a13224216a0e08d0a2fcf9ecfe4b7b0e18c4d5bd3d80c972b84d069a09bdcb24"}