{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HWAQOYBXP7PKEFDOCPWUKIBMP5","short_pith_number":"pith:HWAQOYBX","canonical_record":{"source":{"id":"2412.00342","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-30T03:52:08Z","cross_cats_sorted":[],"title_canon_sha256":"5f2a8e252d6a6d3853d7098cabfa28147408a4f3b30a5f40c6f147c7d3863c74","abstract_canon_sha256":"50595eaa8f194859ae1a48afc6d46516de838edfc4c49f2915ffdb014b8a9c2b"},"schema_version":"1.0"},"canonical_sha256":"3d810760377fdea2146e13ed45202c7f4937c489af9cccf2e9aca439345a1db1","source":{"kind":"arxiv","id":"2412.00342","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00342","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00342v2","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00342","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"pith_short_12","alias_value":"HWAQOYBXP7PK","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"pith_short_16","alias_value":"HWAQOYBXP7PKEFDO","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"pith_short_8","alias_value":"HWAQOYBX","created_at":"2026-07-05T11:06:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HWAQOYBXP7PKEFDOCPWUKIBMP5","target":"record","payload":{"canonical_record":{"source":{"id":"2412.00342","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-30T03:52:08Z","cross_cats_sorted":[],"title_canon_sha256":"5f2a8e252d6a6d3853d7098cabfa28147408a4f3b30a5f40c6f147c7d3863c74","abstract_canon_sha256":"50595eaa8f194859ae1a48afc6d46516de838edfc4c49f2915ffdb014b8a9c2b"},"schema_version":"1.0"},"canonical_sha256":"3d810760377fdea2146e13ed45202c7f4937c489af9cccf2e9aca439345a1db1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:25.370776Z","signature_b64":"fkbwWd0NFImmbEXBHTPaJEs7al1QI53CGoRqm/LMg6e46iy6b8bG2bASHNNktUzMRZ5+e6oEGcVZMzCvGtWNBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d810760377fdea2146e13ed45202c7f4937c489af9cccf2e9aca439345a1db1","last_reissued_at":"2026-07-05T11:06:25.370285Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:25.370285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.00342","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:06:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ls9l02NpwxdKSqFmdPFqatSNPSD8HMjkCaDaVhq+tJP7dzRnT/IiutWVSkPQQwPGixUaqoU90n3hJ/+qT7U4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:05:00.563980Z"},"content_sha256":"19051a7e4ff1f22096123468035968b92bde905a33f2d8375514a9e784dc2ba9","schema_version":"1.0","event_id":"sha256:19051a7e4ff1f22096123468035968b92bde905a33f2d8375514a9e784dc2ba9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HWAQOYBXP7PKEFDOCPWUKIBMP5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Monika Bhole, Nadeen Fathallah, Steffen Staab","submitted_at":"2024-11-30T03:52:08Z","abstract_excerpt":"In today's digital age, video content is prevalent, serving as a primary source of information, education, and entertainment. However, the Deaf and Hard of Hearing (DHH) community often faces significant challenges in accessing video content due to the inadequacy of automatic speech recognition (ASR) systems in providing accurate and reliable captions. This paper addresses the urgent need to improve video caption quality by leveraging Large Language Models (LLMs). We present a comprehensive study that explores the integration of LLMs to enhance the accuracy and context-awareness of captions ge"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00342","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.00342/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:06:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ypuiPl7OyUx5RzSxM/TCrI2JT2h5p78MGgSRrI3/KGQ1ScDR1fq1DgYnv/EIL0I/mySNh7rY+XC1PtKHWYJvDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:05:00.564786Z"},"content_sha256":"fd2c43ec626b60c591a5c9c28dcda396e45db065ed6d9c8845642e4fc022e114","schema_version":"1.0","event_id":"sha256:fd2c43ec626b60c591a5c9c28dcda396e45db065ed6d9c8845642e4fc022e114"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HWAQOYBXP7PKEFDOCPWUKIBMP5/bundle.json","state_url":"https://pith.science/pith/HWAQOYBXP7PKEFDOCPWUKIBMP5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HWAQOYBXP7PKEFDOCPWUKIBMP5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T05:05:00Z","links":{"resolver":"https://pith.science/pith/HWAQOYBXP7PKEFDOCPWUKIBMP5","bundle":"https://pith.science/pith/HWAQOYBXP7PKEFDOCPWUKIBMP5/bundle.json","state":"https://pith.science/pith/HWAQOYBXP7PKEFDOCPWUKIBMP5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HWAQOYBXP7PKEFDOCPWUKIBMP5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HWAQOYBXP7PKEFDOCPWUKIBMP5","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":"50595eaa8f194859ae1a48afc6d46516de838edfc4c49f2915ffdb014b8a9c2b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-30T03:52:08Z","title_canon_sha256":"5f2a8e252d6a6d3853d7098cabfa28147408a4f3b30a5f40c6f147c7d3863c74"},"schema_version":"1.0","source":{"id":"2412.00342","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00342","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00342v2","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00342","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"pith_short_12","alias_value":"HWAQOYBXP7PK","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"pith_short_16","alias_value":"HWAQOYBXP7PKEFDO","created_at":"2026-07-05T11:06:25Z"},{"alias_kind":"pith_short_8","alias_value":"HWAQOYBX","created_at":"2026-07-05T11:06:25Z"}],"graph_snapshots":[{"event_id":"sha256:fd2c43ec626b60c591a5c9c28dcda396e45db065ed6d9c8845642e4fc022e114","target":"graph","created_at":"2026-07-05T11:06:25Z","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/2412.00342/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In today's digital age, video content is prevalent, serving as a primary source of information, education, and entertainment. However, the Deaf and Hard of Hearing (DHH) community often faces significant challenges in accessing video content due to the inadequacy of automatic speech recognition (ASR) systems in providing accurate and reliable captions. This paper addresses the urgent need to improve video caption quality by leveraging Large Language Models (LLMs). We present a comprehensive study that explores the integration of LLMs to enhance the accuracy and context-awareness of captions ge","authors_text":"Monika Bhole, Nadeen Fathallah, Steffen Staab","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-30T03:52:08Z","title":"Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00342","kind":"arxiv","version":2},"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":"sha256:19051a7e4ff1f22096123468035968b92bde905a33f2d8375514a9e784dc2ba9","target":"record","created_at":"2026-07-05T11:06:25Z","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":"50595eaa8f194859ae1a48afc6d46516de838edfc4c49f2915ffdb014b8a9c2b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-11-30T03:52:08Z","title_canon_sha256":"5f2a8e252d6a6d3853d7098cabfa28147408a4f3b30a5f40c6f147c7d3863c74"},"schema_version":"1.0","source":{"id":"2412.00342","kind":"arxiv","version":2}},"canonical_sha256":"3d810760377fdea2146e13ed45202c7f4937c489af9cccf2e9aca439345a1db1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d810760377fdea2146e13ed45202c7f4937c489af9cccf2e9aca439345a1db1","first_computed_at":"2026-07-05T11:06:25.370285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:25.370285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fkbwWd0NFImmbEXBHTPaJEs7al1QI53CGoRqm/LMg6e46iy6b8bG2bASHNNktUzMRZ5+e6oEGcVZMzCvGtWNBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:25.370776Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00342","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:19051a7e4ff1f22096123468035968b92bde905a33f2d8375514a9e784dc2ba9","sha256:fd2c43ec626b60c591a5c9c28dcda396e45db065ed6d9c8845642e4fc022e114"],"state_sha256":"54a7578d103b028305afe77bceae26e0c7aa40d645c28d06cc97a4a8389070c4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wDcneG0Brxew/3Ft4xoaAKUpOIVe0bvCphA7tSXra5rovXmAd3vbz3G3IWQDXD0mbWx1lCv5mxFg6D5kdmI6DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:05:00.570277Z","bundle_sha256":"7c20be221351c936ce9b1a429eb1a34db29143dde8ccdf4df20a0c34a74b2bdb"}}