{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RT3RZKL2LQNUEFBKIKWPADJBQ7","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":"92b24dd1dd877ef9e232c53f878dd0c10582e8f1a4d79db18b330c9ee5f6d292","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T15:40:42Z","title_canon_sha256":"3b2404bad312210008ffe835c952c03e89b5ef364dd8116769251ed1fc41a445"},"schema_version":"1.0","source":{"id":"2607.01086","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01086","created_at":"2026-07-02T01:18:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01086v1","created_at":"2026-07-02T01:18:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01086","created_at":"2026-07-02T01:18:28Z"},{"alias_kind":"pith_short_12","alias_value":"RT3RZKL2LQNU","created_at":"2026-07-02T01:18:28Z"},{"alias_kind":"pith_short_16","alias_value":"RT3RZKL2LQNUEFBK","created_at":"2026-07-02T01:18:28Z"},{"alias_kind":"pith_short_8","alias_value":"RT3RZKL2","created_at":"2026-07-02T01:18:28Z"}],"graph_snapshots":[{"event_id":"sha256:d08d3d54a5beaa7c0bd1b49d5f666c8c4676c5bdce6ff4aa69823a8052500776","target":"graph","created_at":"2026-07-02T01:18:28Z","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/2607.01086/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The evaluation of long-term video quality understanding remains an open challenge for large vision-language models (LVLMs). Existing video quality benchmarks predominantly focus on short clips and isolated distortions, overlooking the temporal continuity, cumulative degradation, and reasoning complexity inherent in long-duration content. To address these limitations, we present LongVQUBench, a comprehensive benchmark for long-term video quality understanding. LongVQUBench contains over 1200 diverse videos spanning movies, documentaries, surveillance footage, egocentric recordings, and animated","authors_text":"Arpita Nema, Hanwei Zhu, Weisi Lin, Xi Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T15:40:42Z","title":"LongVQUBench: Benchmarking Long-Term Video Quality Understanding of Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01086","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:f6494bd5260676ebfb5547b768525c36618ba4fad14964bb35c29db322218008","target":"record","created_at":"2026-07-02T01:18:28Z","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":"92b24dd1dd877ef9e232c53f878dd0c10582e8f1a4d79db18b330c9ee5f6d292","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T15:40:42Z","title_canon_sha256":"3b2404bad312210008ffe835c952c03e89b5ef364dd8116769251ed1fc41a445"},"schema_version":"1.0","source":{"id":"2607.01086","kind":"arxiv","version":1}},"canonical_sha256":"8cf71ca97a5c1b42142a42acf00d2187e2b66bfc6e298de0e48ebd11cf276ee4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8cf71ca97a5c1b42142a42acf00d2187e2b66bfc6e298de0e48ebd11cf276ee4","first_computed_at":"2026-07-02T01:18:28.323236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:18:28.323236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c/AUEIsTeiAokQJrkcyGcnreL7nmNS4CSpBhdgi2rha6hCmzqhJpOGCYvaPPi/Z1blmmGBRr9lceld5i72siDg==","signature_status":"signed_v1","signed_at":"2026-07-02T01:18:28.323628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01086","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6494bd5260676ebfb5547b768525c36618ba4fad14964bb35c29db322218008","sha256:d08d3d54a5beaa7c0bd1b49d5f666c8c4676c5bdce6ff4aa69823a8052500776"],"state_sha256":"73d0cd7239fb275500e70f02333f8f10f5ab81888212fe83dbfa9e74f048fde1"}