{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GEFEK44WL5RBCSQAG4QQSTQOC7","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":"dbf9e06de211eb659aaeccae4369707deab098d3b7f44e584e28aeb1161f340b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T06:45:18Z","title_canon_sha256":"05fc47736e12d880cdaf5c4fd3ede39f6cb9cb3c39c06804dddfd5d9574f2a62"},"schema_version":"1.0","source":{"id":"2505.12766","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.12766","created_at":"2026-07-05T11:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"2505.12766v1","created_at":"2026-07-05T11:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.12766","created_at":"2026-07-05T11:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"GEFEK44WL5RB","created_at":"2026-07-05T11:05:09Z"},{"alias_kind":"pith_short_16","alias_value":"GEFEK44WL5RBCSQA","created_at":"2026-07-05T11:05:09Z"},{"alias_kind":"pith_short_8","alias_value":"GEFEK44W","created_at":"2026-07-05T11:05:09Z"}],"graph_snapshots":[{"event_id":"sha256:b341c7ebee8555e495c485233ba60a78ada14f57c57c89a06c1c79f32cfa879c","target":"graph","created_at":"2026-07-05T11:05:09Z","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/2505.12766/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Multimodal Models (LMMs) have become increasingly versatile, accompanied by impressive Optical Character Recognition (OCR) related capabilities. Existing OCR-related benchmarks emphasize evaluating LMMs' abilities of relatively simple visual question answering, visual-text parsing, etc. However, the extent to which LMMs can deal with complex logical reasoning problems based on OCR cues is relatively unexplored. To this end, we introduce the Reasoning-OCR benchmark, which challenges LMMs to solve complex reasoning problems based on the cues that can be extracted from rich visual-text. Rea","authors_text":"Bo Du, Dacheng Tao, Haibin He, Jing Zhang, Juhua Liu, Maoyuan Ye, Xiantao Cai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T06:45:18Z","title":"Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.12766","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:c0165c7853d38687f2ebe163e40423a61d04b52d013d65a63435962bf7a2ac1f","target":"record","created_at":"2026-07-05T11:05:09Z","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":"dbf9e06de211eb659aaeccae4369707deab098d3b7f44e584e28aeb1161f340b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T06:45:18Z","title_canon_sha256":"05fc47736e12d880cdaf5c4fd3ede39f6cb9cb3c39c06804dddfd5d9574f2a62"},"schema_version":"1.0","source":{"id":"2505.12766","kind":"arxiv","version":1}},"canonical_sha256":"310a4573965f62114a003721094e0e17c7846578cb7e1c00681d2e58c026c839","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"310a4573965f62114a003721094e0e17c7846578cb7e1c00681d2e58c026c839","first_computed_at":"2026-07-05T11:05:09.332996Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:09.332996Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B/loCKI8PMl4b/Baz8Y3zIEsi/fbqdkT8KUvYP3rkqB0c6RAI4M/zzmXO3JNpQAID6aDs5z86sou73x2+SFADQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:09.333513Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.12766","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0165c7853d38687f2ebe163e40423a61d04b52d013d65a63435962bf7a2ac1f","sha256:b341c7ebee8555e495c485233ba60a78ada14f57c57c89a06c1c79f32cfa879c"],"state_sha256":"ffc22507aefaf6e26163ab8c12f2a95a0977dff15a27f40be44929fcd3506b37"}