{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:VOX7EQQ3NIZIFGAMAXQ5IUMFPP","short_pith_number":"pith:VOX7EQQ3","schema_version":"1.0","canonical_sha256":"abaff2421b6a3282980c05e1d451857bec3eb225f09274671cdb94043c5cc488","source":{"kind":"arxiv","id":"2211.01781","version":2},"attestation_state":"computed","paper":{"title":"Video Event Extraction via Tracking Visual States of Arguments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Guang Yang, Heng Ji, Jiajie Zhang, Manling Li, Shih-Fu Chang, Xudong Lin","submitted_at":"2022-11-03T13:12:49Z","abstract_excerpt":"Video event extraction aims to detect salient events from a video and identify the arguments for each event as well as their semantic roles. Existing methods focus on capturing the overall visual scene of each frame, ignoring fine-grained argument-level information. Inspired by the definition of events as changes of states, we propose a novel framework to detect video events by tracking the changes in the visual states of all involved arguments, which are expected to provide the most informative evidence for the extraction of video events. In order to capture the visual state changes of argume"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2211.01781","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-03T13:12:49Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"ad77913583be74ca05cccdb1c7065c0b7d511cef0f15ab23a7f3e86b771b6b45","abstract_canon_sha256":"27fb2f7dd614ee30c856f649bdeee78224c75ca415e3df3ea5ccd8517c3ac65f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:13:40.322028Z","signature_b64":"MQF3O5QkJ3lvjhmLRPKSGDlxQ16wmcZaAyW+PIHCC7FjBb62acQ7Y0rXTl/rMalKRQRVd6jKekMlDaUfniEoBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"abaff2421b6a3282980c05e1d451857bec3eb225f09274671cdb94043c5cc488","last_reissued_at":"2026-07-05T05:13:40.321682Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:13:40.321682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Video Event Extraction via Tracking Visual States of Arguments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Guang Yang, Heng Ji, Jiajie Zhang, Manling Li, Shih-Fu Chang, Xudong Lin","submitted_at":"2022-11-03T13:12:49Z","abstract_excerpt":"Video event extraction aims to detect salient events from a video and identify the arguments for each event as well as their semantic roles. Existing methods focus on capturing the overall visual scene of each frame, ignoring fine-grained argument-level information. Inspired by the definition of events as changes of states, we propose a novel framework to detect video events by tracking the changes in the visual states of all involved arguments, which are expected to provide the most informative evidence for the extraction of video events. In order to capture the visual state changes of argume"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.01781","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/2211.01781/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2211.01781","created_at":"2026-07-05T05:13:40.321736+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.01781v2","created_at":"2026-07-05T05:13:40.321736+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.01781","created_at":"2026-07-05T05:13:40.321736+00:00"},{"alias_kind":"pith_short_12","alias_value":"VOX7EQQ3NIZI","created_at":"2026-07-05T05:13:40.321736+00:00"},{"alias_kind":"pith_short_16","alias_value":"VOX7EQQ3NIZIFGAM","created_at":"2026-07-05T05:13:40.321736+00:00"},{"alias_kind":"pith_short_8","alias_value":"VOX7EQQ3","created_at":"2026-07-05T05:13:40.321736+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP","json":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP.json","graph_json":"https://pith.science/api/pith-number/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/graph.json","events_json":"https://pith.science/api/pith-number/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/events.json","paper":"https://pith.science/paper/VOX7EQQ3"},"agent_actions":{"view_html":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP","download_json":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP.json","view_paper":"https://pith.science/paper/VOX7EQQ3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.01781&json=true","fetch_graph":"https://pith.science/api/pith-number/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/graph.json","fetch_events":"https://pith.science/api/pith-number/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/action/storage_attestation","attest_author":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/action/author_attestation","sign_citation":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/action/citation_signature","submit_replication":"https://pith.science/pith/VOX7EQQ3NIZIFGAMAXQ5IUMFPP/action/replication_record"}},"created_at":"2026-07-05T05:13:40.321736+00:00","updated_at":"2026-07-05T05:13:40.321736+00:00"}