{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AD7XP56ZAGBUCYGE3BHGUVM442","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":"428845d0b760e5aaac949ec5110a03e0a76766578406a32c3c09f2bd75f8b69c","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-04-07T17:45:49Z","title_canon_sha256":"aa7636773f1b836be3e8f627460ea185ae1aed14dfccc7edeccde57fb601206b"},"schema_version":"1.0","source":{"id":"2304.03754","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.03754","created_at":"2026-07-05T05:58:59Z"},{"alias_kind":"arxiv_version","alias_value":"2304.03754v1","created_at":"2026-07-05T05:58:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.03754","created_at":"2026-07-05T05:58:59Z"},{"alias_kind":"pith_short_12","alias_value":"AD7XP56ZAGBU","created_at":"2026-07-05T05:58:59Z"},{"alias_kind":"pith_short_16","alias_value":"AD7XP56ZAGBUCYGE","created_at":"2026-07-05T05:58:59Z"},{"alias_kind":"pith_short_8","alias_value":"AD7XP56Z","created_at":"2026-07-05T05:58:59Z"}],"graph_snapshots":[{"event_id":"sha256:99d9191b37c7de9ae6f17d115d944e9b6246bef6727bf1497d036fa90d4d72b9","target":"graph","created_at":"2026-07-05T05:58:59Z","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/2304.03754/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Causal Video Question Answering (CVidQA) queries not only association or temporal relations but also causal relations in a video. Existing question synthesis methods pre-trained question generation (QG) systems on reading comprehension datasets with text descriptions as inputs. However, QG models only learn to ask association questions (e.g., ``what is someone doing...'') and result in inferior performance due to the poor transfer of association knowledge to CVidQA, which focuses on causal questions like ``why is someone doing ...''. Observing this, we proposed to exploit causal knowledge to g","authors_text":"Hung-Ting Su, Shih-Fu Chang, Winston H. Hsu, Xudong Lin, Yulei Niu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-04-07T17:45:49Z","title":"Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.03754","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:f995d653a7dbc364abd128b2c35336767b8337a84efed028702f10a2a47ac243","target":"record","created_at":"2026-07-05T05:58:59Z","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":"428845d0b760e5aaac949ec5110a03e0a76766578406a32c3c09f2bd75f8b69c","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-04-07T17:45:49Z","title_canon_sha256":"aa7636773f1b836be3e8f627460ea185ae1aed14dfccc7edeccde57fb601206b"},"schema_version":"1.0","source":{"id":"2304.03754","kind":"arxiv","version":1}},"canonical_sha256":"00ff77f7d901834160c4d84e6a559ce6ab779ac9d470c4e25176f5e66d17e4bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"00ff77f7d901834160c4d84e6a559ce6ab779ac9d470c4e25176f5e66d17e4bf","first_computed_at":"2026-07-05T05:58:59.926949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:58:59.926949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DCiTPxjAjwM4uX/S9/NpUs88WssYhBSld5rN0Af3EHH3eWX4e+nKmvstvbn5SVVR+nqYDMhy4ZZYvcq5LvrbDw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:58:59.927491Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.03754","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f995d653a7dbc364abd128b2c35336767b8337a84efed028702f10a2a47ac243","sha256:99d9191b37c7de9ae6f17d115d944e9b6246bef6727bf1497d036fa90d4d72b9"],"state_sha256":"22af706d2321e4b7a89343c7a71d1d6232d7bdb00fee568f3bd2074ba004b47d"}