{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:P6XGOTRKSKA276KIHXGPPKI5NR","short_pith_number":"pith:P6XGOTRK","canonical_record":{"source":{"id":"2507.14823","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T05:00:42Z","cross_cats_sorted":[],"title_canon_sha256":"ef443f4b1af6346e32c2016be795c9c85a70f6d6c4fd92551f969e72a4b99e99","abstract_canon_sha256":"640c55349f4753427835636d013248602917d1a85e7d04f40fadd36b9b6e0df4"},"schema_version":"1.0"},"canonical_sha256":"7fae674e2a9281aff9483dccf7a91d6c56bfd32a3c0a4a41a9815ecc6a8bbc23","source":{"kind":"arxiv","id":"2507.14823","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14823","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14823v1","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14823","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"pith_short_12","alias_value":"P6XGOTRKSKA2","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"pith_short_16","alias_value":"P6XGOTRKSKA276KI","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"pith_short_8","alias_value":"P6XGOTRK","created_at":"2026-07-05T11:40:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:P6XGOTRKSKA276KIHXGPPKI5NR","target":"record","payload":{"canonical_record":{"source":{"id":"2507.14823","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T05:00:42Z","cross_cats_sorted":[],"title_canon_sha256":"ef443f4b1af6346e32c2016be795c9c85a70f6d6c4fd92551f969e72a4b99e99","abstract_canon_sha256":"640c55349f4753427835636d013248602917d1a85e7d04f40fadd36b9b6e0df4"},"schema_version":"1.0"},"canonical_sha256":"7fae674e2a9281aff9483dccf7a91d6c56bfd32a3c0a4a41a9815ecc6a8bbc23","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:14.135710Z","signature_b64":"R0+t4L2PF+zKfnT7Ct5e719bYFCxEgrW0bnFUFuxOrNK7xGZq4YfhV+aWTZptbSB0680nWy6kJzEx4OIpecBBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7fae674e2a9281aff9483dccf7a91d6c56bfd32a3c0a4a41a9815ecc6a8bbc23","last_reissued_at":"2026-07-05T11:40:14.135177Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:14.135177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.14823","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:40:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q8WWTJ6CUd/Ne9vcW3lyJDALz38cgNNxPiA5hqBbraj7VWfryxAyn0pzh+HmWoGTmKg6XuWkQNdqLCntpQsvAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T11:31:40.001973Z"},"content_sha256":"007549700bd1c3f13e752bf4f6513ee3a92fb6d3b76b435fa17f1e2c3847d3c8","schema_version":"1.0","event_id":"sha256:007549700bd1c3f13e752bf4f6513ee3a92fb6d3b76b435fa17f1e2c3847d3c8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:P6XGOTRKSKA276KIHXGPPKI5NR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dong Shu, Haiyan Zhao, Haoyang Yuan, Huopu Zhang, Mengnan Du, Yanguang Liu, Yuchen Wang","submitted_at":"2025-07-20T05:00:42Z","abstract_excerpt":"Large vision-language models (LVLMs) have made significant progress in chart understanding. However, financial charts, characterized by complex temporal structures and domain-specific terminology, remain notably underexplored. We introduce FinChart-Bench, the first benchmark specifically focused on real-world financial charts. FinChart-Bench comprises 1,200 financial chart images collected from 2015 to 2024, each annotated with True/False (TF), Multiple Choice (MC), and Question Answering (QA) questions, totaling 7,016 questions. We conduct a comprehensive evaluation of 25 state-of-the-art LVL"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14823","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.14823/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:40:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xa42Fm44YEnorbPNhtsL3sFunYBR4oGkJ/PSxABZfzsRoU3aCColhGt8tFEQMmDn7wjB1VgRCtS9GMMQLobhBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T11:31:40.003283Z"},"content_sha256":"170f1e092290ceaa629d40539c10d3ea31a64ba7eabb8de94fefb93f4bdc4367","schema_version":"1.0","event_id":"sha256:170f1e092290ceaa629d40539c10d3ea31a64ba7eabb8de94fefb93f4bdc4367"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P6XGOTRKSKA276KIHXGPPKI5NR/bundle.json","state_url":"https://pith.science/pith/P6XGOTRKSKA276KIHXGPPKI5NR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P6XGOTRKSKA276KIHXGPPKI5NR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-19T11:31:40Z","links":{"resolver":"https://pith.science/pith/P6XGOTRKSKA276KIHXGPPKI5NR","bundle":"https://pith.science/pith/P6XGOTRKSKA276KIHXGPPKI5NR/bundle.json","state":"https://pith.science/pith/P6XGOTRKSKA276KIHXGPPKI5NR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P6XGOTRKSKA276KIHXGPPKI5NR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P6XGOTRKSKA276KIHXGPPKI5NR","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":"640c55349f4753427835636d013248602917d1a85e7d04f40fadd36b9b6e0df4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T05:00:42Z","title_canon_sha256":"ef443f4b1af6346e32c2016be795c9c85a70f6d6c4fd92551f969e72a4b99e99"},"schema_version":"1.0","source":{"id":"2507.14823","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14823","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14823v1","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14823","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"pith_short_12","alias_value":"P6XGOTRKSKA2","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"pith_short_16","alias_value":"P6XGOTRKSKA276KI","created_at":"2026-07-05T11:40:14Z"},{"alias_kind":"pith_short_8","alias_value":"P6XGOTRK","created_at":"2026-07-05T11:40:14Z"}],"graph_snapshots":[{"event_id":"sha256:170f1e092290ceaa629d40539c10d3ea31a64ba7eabb8de94fefb93f4bdc4367","target":"graph","created_at":"2026-07-05T11:40:14Z","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/2507.14823/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large vision-language models (LVLMs) have made significant progress in chart understanding. However, financial charts, characterized by complex temporal structures and domain-specific terminology, remain notably underexplored. We introduce FinChart-Bench, the first benchmark specifically focused on real-world financial charts. FinChart-Bench comprises 1,200 financial chart images collected from 2015 to 2024, each annotated with True/False (TF), Multiple Choice (MC), and Question Answering (QA) questions, totaling 7,016 questions. We conduct a comprehensive evaluation of 25 state-of-the-art LVL","authors_text":"Dong Shu, Haiyan Zhao, Haoyang Yuan, Huopu Zhang, Mengnan Du, Yanguang Liu, Yuchen Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T05:00:42Z","title":"FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14823","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":"sha256:007549700bd1c3f13e752bf4f6513ee3a92fb6d3b76b435fa17f1e2c3847d3c8","target":"record","created_at":"2026-07-05T11:40:14Z","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":"640c55349f4753427835636d013248602917d1a85e7d04f40fadd36b9b6e0df4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-20T05:00:42Z","title_canon_sha256":"ef443f4b1af6346e32c2016be795c9c85a70f6d6c4fd92551f969e72a4b99e99"},"schema_version":"1.0","source":{"id":"2507.14823","kind":"arxiv","version":1}},"canonical_sha256":"7fae674e2a9281aff9483dccf7a91d6c56bfd32a3c0a4a41a9815ecc6a8bbc23","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7fae674e2a9281aff9483dccf7a91d6c56bfd32a3c0a4a41a9815ecc6a8bbc23","first_computed_at":"2026-07-05T11:40:14.135177Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:14.135177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R0+t4L2PF+zKfnT7Ct5e719bYFCxEgrW0bnFUFuxOrNK7xGZq4YfhV+aWTZptbSB0680nWy6kJzEx4OIpecBBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:14.135710Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.14823","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:007549700bd1c3f13e752bf4f6513ee3a92fb6d3b76b435fa17f1e2c3847d3c8","sha256:170f1e092290ceaa629d40539c10d3ea31a64ba7eabb8de94fefb93f4bdc4367"],"state_sha256":"b57f3844ba57b07452852596d313fb3ac95f53b9562abec25c1001e26796f471"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xj9H91OYXdJI5XLv5Pg9RuV9K9Bgcjh3ZxyCQ4MGjh9SsoWKwws0lVPZAmg+aXFzW597QzDSUK1KwRenWglFBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T11:31:40.009288Z","bundle_sha256":"cc663541ed192b56107c85f960e72d7b1a73a3506b4a04d814ec43896373cfce"}}