{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:57V63JHWRMH45MW5BISPYVKGDA","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":"9ca50ad5bbef3277388e9fb30d7ffc35ad2eb2c614a9cc8f9e65a4c4817b1e54","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-10T07:53:54Z","title_canon_sha256":"1af2d29046f72689b2c5a5c097d5d9396c6f68ef15d23b08f01f526f0b2abb05"},"schema_version":"1.0","source":{"id":"2608.09230","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.09230","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"arxiv_version","alias_value":"2608.09230v1","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.09230","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"pith_short_12","alias_value":"57V63JHWRMH4","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"pith_short_16","alias_value":"57V63JHWRMH45MW5","created_at":"2026-08-11T02:22:08Z"},{"alias_kind":"pith_short_8","alias_value":"57V63JHW","created_at":"2026-08-11T02:22:08Z"}],"graph_snapshots":[{"event_id":"sha256:769f8db3a5209e7b944d3e63268c0ef4f8a9be6478973f47c38e09c51d320e34","target":"graph","created_at":"2026-08-11T02:22:08Z","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/2608.09230/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Industrial-safety understanding requires more than detecting workers, equipment, and personal protective equipment. Models must also assess compliance, identify hazardous interactions, explain potential accident mechanisms, and recommend preventive actions. Existing safety datasets primarily focus on visual perception or isolated violation recognition and provide limited supervision for evidence-grounded reasoning. We introduce SafeSceneReason, a multimodal industrial-safety reasoning benchmark and companion training corpus that connects workplace scenes with knowledge from occupational accide","authors_text":"Bokai Zhao, Chenxu Du, Faqiang Qian, Hebao Zhu, Kang An, Qibing Ren, Tengyue Wang, Tianyu Liang, Weiyang Shi, Xinqi Yang, Yuanchi Zhu, Yunli Yang, Zhongyu Yang, Ziliang Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-10T07:53:54Z","title":"SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident Knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.09230","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":"sha256:96efae9bf416f953d081f6a8ac9a242d9dafa4e81be0bd53735778a29af65020","target":"record","created_at":"2026-08-11T02:22:08Z","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":"9ca50ad5bbef3277388e9fb30d7ffc35ad2eb2c614a9cc8f9e65a4c4817b1e54","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-10T07:53:54Z","title_canon_sha256":"1af2d29046f72689b2c5a5c097d5d9396c6f68ef15d23b08f01f526f0b2abb05"},"schema_version":"1.0","source":{"id":"2608.09230","kind":"arxiv","version":1}},"canonical_sha256":"efebeda4f68b0fceb2dd0a24fc554618171921fca6f0c8bf498a6bb8b9a5785f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efebeda4f68b0fceb2dd0a24fc554618171921fca6f0c8bf498a6bb8b9a5785f","first_computed_at":"2026-08-11T02:22:08.211121Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T02:22:08.211121Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nWDSaVbcxY7uZONpv95DS1pBEPBjZt6XCC3PN3C0Aip6yCDESuUWdG7xODp8UYnsnd/QEaocdbAKHtKStVRvAw==","signature_status":"signed_v1","signed_at":"2026-08-11T02:22:08.212589Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.09230","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96efae9bf416f953d081f6a8ac9a242d9dafa4e81be0bd53735778a29af65020","sha256:769f8db3a5209e7b944d3e63268c0ef4f8a9be6478973f47c38e09c51d320e34"],"state_sha256":"c19aa54e4a47b58a0f30c9e6d6b0ccf276972ec3d06c929f696cd378cd8960ba"}