{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KCFWQIZNTCGIKMTU4B2P7YN4XW","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":"b76c0d26d6c387f1ba413f5458398d0f03aeebe2d6be94e8878b3514756d4b13","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-14T15:21:44Z","title_canon_sha256":"e5d53799fbcffe03569350f4846f01d9e2c54490ed4e7279bc8efccf69719f25"},"schema_version":"1.0","source":{"id":"2503.11495","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.11495","created_at":"2026-07-05T10:31:32Z"},{"alias_kind":"arxiv_version","alias_value":"2503.11495v1","created_at":"2026-07-05T10:31:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.11495","created_at":"2026-07-05T10:31:32Z"},{"alias_kind":"pith_short_12","alias_value":"KCFWQIZNTCGI","created_at":"2026-07-05T10:31:32Z"},{"alias_kind":"pith_short_16","alias_value":"KCFWQIZNTCGIKMTU","created_at":"2026-07-05T10:31:32Z"},{"alias_kind":"pith_short_8","alias_value":"KCFWQIZN","created_at":"2026-07-05T10:31:32Z"}],"graph_snapshots":[{"event_id":"sha256:1231e29a19872429a27d721cf66bc5d475c7d100cda3505ee2de89e0e98bb7bb","target":"graph","created_at":"2026-07-05T10:31:32Z","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/2503.11495/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human processes video reasoning in a sequential spatio-temporal reasoning logic, we first identify the relevant frames (\"when\") and then analyse the spatial relationships (\"where\") between key objects, and finally leverage these relationships to draw inferences (\"what\"). However, can Video Large Language Models (Video-LLMs) also \"reason through a sequential spatio-temporal logic\" in videos? Existing Video-LLM benchmarks primarily focus on assessing object presence, neglecting relational reasoning. Consequently, it is difficult to measure whether a model truly comprehends object interactions (a","authors_text":"Chenyang Si, Jian Hu, Shaogang Gong, Wei Li, Ziquan Liu, Zixu Cheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-14T15:21:44Z","title":"V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.11495","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":"sha256:0cabcf53cc4de24cbcc162c9305cd51b4127258ec922127dc517033792fbbf2a","target":"record","created_at":"2026-07-05T10:31:32Z","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":"b76c0d26d6c387f1ba413f5458398d0f03aeebe2d6be94e8878b3514756d4b13","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-14T15:21:44Z","title_canon_sha256":"e5d53799fbcffe03569350f4846f01d9e2c54490ed4e7279bc8efccf69719f25"},"schema_version":"1.0","source":{"id":"2503.11495","kind":"arxiv","version":1}},"canonical_sha256":"508b68232d988c853274e074ffe1bcbd8dc388e7ff53caa4b46bebc9ee1e92f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"508b68232d988c853274e074ffe1bcbd8dc388e7ff53caa4b46bebc9ee1e92f9","first_computed_at":"2026-07-05T10:31:32.966808Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:31:32.966808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jWv2VOD1f8eJayX2Ed0wrW77MUCRtCcPHC7M1/W4RHwOZQVhdKsWyee0Y47FMfdVgO3YUb+CcX13zT0LnclYAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:31:32.967607Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.11495","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cabcf53cc4de24cbcc162c9305cd51b4127258ec922127dc517033792fbbf2a","sha256:1231e29a19872429a27d721cf66bc5d475c7d100cda3505ee2de89e0e98bb7bb"],"state_sha256":"282ca0743184affcefe74fd288eac5a83285cefe7d33ca1beb09d54ab05b94d3"}