{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:XJ4WITQ53GORLQDBXRSD3KWWJF","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":"7fb5703e339e5bbe2b400263085d52d05462704d86ae4ea8d9b8470f7d65bc25","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-15T19:16:21Z","title_canon_sha256":"3c23a83b855fcee09255f9e0294264c61b0ec75e5cbe538b42bc52d69d3cca5f"},"schema_version":"1.0","source":{"id":"2312.10160","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.10160","created_at":"2026-07-05T08:24:58Z"},{"alias_kind":"arxiv_version","alias_value":"2312.10160v2","created_at":"2026-07-05T08:24:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.10160","created_at":"2026-07-05T08:24:58Z"},{"alias_kind":"pith_short_12","alias_value":"XJ4WITQ53GOR","created_at":"2026-07-05T08:24:58Z"},{"alias_kind":"pith_short_16","alias_value":"XJ4WITQ53GORLQDB","created_at":"2026-07-05T08:24:58Z"},{"alias_kind":"pith_short_8","alias_value":"XJ4WITQ5","created_at":"2026-07-05T08:24:58Z"}],"graph_snapshots":[{"event_id":"sha256:41b1df4f17f38787a0254c85e8d4e1538b039bc34991bbe880064fadd844f50a","target":"graph","created_at":"2026-07-05T08:24:58Z","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/2312.10160/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in large vision-language models (LVLMs) have led to significant progress in generating natural language descriptions for visual content and thus enhancing various applications. One issue with these powerful models is that they sometimes produce texts that are factually inconsistent with the visual input. While there has been some effort to mitigate such inconsistencies in natural image captioning, the factuality of generated captions for structured document images, such as charts, has not received as much scrutiny, posing a potential threat to information reliability in cri","authors_text":"Heng Ji, Hou Pong Chan, Kung-Hsiang Huang, Lingyu Zhang, Mingyang Zhou, Shih-Fu Chang, Yi R. Fung, Zhenhailong Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-15T19:16:21Z","title":"Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.10160","kind":"arxiv","version":2},"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":"sha256:67595c42996e6cf0064d7e922cf3af5fff0376938dcb7ffb553cc010e4751550","target":"record","created_at":"2026-07-05T08:24:58Z","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":"7fb5703e339e5bbe2b400263085d52d05462704d86ae4ea8d9b8470f7d65bc25","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-15T19:16:21Z","title_canon_sha256":"3c23a83b855fcee09255f9e0294264c61b0ec75e5cbe538b42bc52d69d3cca5f"},"schema_version":"1.0","source":{"id":"2312.10160","kind":"arxiv","version":2}},"canonical_sha256":"ba79644e1dd99d15c061bc643daad6497a6adf3207139cb5376a979d69862414","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba79644e1dd99d15c061bc643daad6497a6adf3207139cb5376a979d69862414","first_computed_at":"2026-07-05T08:24:58.928633Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:58.928633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7IBqr8enrHCvsIjIedpYtFvgYMJqMUXpBmfrfm6hOr6RSZmET+cg8D/MtO6MMEtNf7d+N7EG8AMeiHQ+dmMXCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:58.929114Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.10160","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67595c42996e6cf0064d7e922cf3af5fff0376938dcb7ffb553cc010e4751550","sha256:41b1df4f17f38787a0254c85e8d4e1538b039bc34991bbe880064fadd844f50a"],"state_sha256":"eeef57a32d6d1eaa253081b592dfbd119dc1920a8eca1b82f71274c24516a200"}