{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QQ5QDDV3JBRTJ4O2SNLHNB76Y4","short_pith_number":"pith:QQ5QDDV3","canonical_record":{"source":{"id":"2506.06282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-22T07:25:03Z","cross_cats_sorted":[],"title_canon_sha256":"a32987d02e3c5008d0117e52ee16636860f3364ad6e70120e06ec187b7c1c4d4","abstract_canon_sha256":"4be80f39300f5aa2892f8ccf2b0c1af41ada43dc4f696c0bd785ffad4fd83d35"},"schema_version":"1.0"},"canonical_sha256":"843b018ebb486334f1da93567687fec73e933918e42f826e29dd680af3346d59","source":{"kind":"arxiv","id":"2506.06282","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06282","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06282v1","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06282","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"QQ5QDDV3JBRT","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"QQ5QDDV3JBRTJ4O2","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"QQ5QDDV3","created_at":"2026-07-05T11:17:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QQ5QDDV3JBRTJ4O2SNLHNB76Y4","target":"record","payload":{"canonical_record":{"source":{"id":"2506.06282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-22T07:25:03Z","cross_cats_sorted":[],"title_canon_sha256":"a32987d02e3c5008d0117e52ee16636860f3364ad6e70120e06ec187b7c1c4d4","abstract_canon_sha256":"4be80f39300f5aa2892f8ccf2b0c1af41ada43dc4f696c0bd785ffad4fd83d35"},"schema_version":"1.0"},"canonical_sha256":"843b018ebb486334f1da93567687fec73e933918e42f826e29dd680af3346d59","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:47.299116Z","signature_b64":"sE9qgyzASxL5vT62Q8Ebjt6fsd5Qh8O6kB3uYh8qKdGNp42BqexaT3PlgxMyf21vUn1URbsqakt0YLFROmEECw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"843b018ebb486334f1da93567687fec73e933918e42f826e29dd680af3346d59","last_reissued_at":"2026-07-05T11:17:47.298624Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:47.298624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.06282","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":"2026-07-05T11:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v1vukh3eIxJSUm2l61jMREex2D8bjx9Cq6H2Iiq8mjIaoTux5aGPLxrgX3/9QxHdwHb9Jnauu/bosho7jmpjBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:10:05.088969Z"},"content_sha256":"bed4ceda8c171ac744ee809bc803ff2f4ff72dc45c3025b40d41a4bc3c8ce5a8","schema_version":"1.0","event_id":"sha256:bed4ceda8c171ac744ee809bc803ff2f4ff72dc45c3025b40d41a4bc3c8ce5a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QQ5QDDV3JBRTJ4O2SNLHNB76Y4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chunhou Liu, Ciprian Doru Giurcuaneanu, Haizhou Peng, Jiachen Xu, Jiamou Liu, Shuangyan Deng","submitted_at":"2025-04-22T07:25:03Z","abstract_excerpt":"Effective financial reasoning demands not only textual understanding but also the ability to interpret complex visual data such as charts, tables, and trend graphs. This paper introduces a new benchmark designed to evaluate how well AI models - especially large language and multimodal models - reason in finance-specific contexts. Covering 3,200 expert-level question-answer pairs across 15 core financial topics, the benchmark integrates both textual and visual modalities to reflect authentic analytical challenges in finance. To address limitations in current reasoning approaches, we propose an "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06282","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/2506.06282/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":"2026-07-05T11:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CP081CAfswb9zBnhIaNvG2ZP61Y1YQ76x+4DZ1ofcp649tLXgJDxwOY6PWVxrQ3AKrutkzyYzU7jrbpLPsGTBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:10:05.089357Z"},"content_sha256":"7bc246887b89b86ba5fbbd537caec0cb052e7f40d1fec0a1311307273a19c4a8","schema_version":"1.0","event_id":"sha256:7bc246887b89b86ba5fbbd537caec0cb052e7f40d1fec0a1311307273a19c4a8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QQ5QDDV3JBRTJ4O2SNLHNB76Y4/bundle.json","state_url":"https://pith.science/pith/QQ5QDDV3JBRTJ4O2SNLHNB76Y4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QQ5QDDV3JBRTJ4O2SNLHNB76Y4/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":"2026-07-06T18:10:05Z","links":{"resolver":"https://pith.science/pith/QQ5QDDV3JBRTJ4O2SNLHNB76Y4","bundle":"https://pith.science/pith/QQ5QDDV3JBRTJ4O2SNLHNB76Y4/bundle.json","state":"https://pith.science/pith/QQ5QDDV3JBRTJ4O2SNLHNB76Y4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QQ5QDDV3JBRTJ4O2SNLHNB76Y4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QQ5QDDV3JBRTJ4O2SNLHNB76Y4","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":"4be80f39300f5aa2892f8ccf2b0c1af41ada43dc4f696c0bd785ffad4fd83d35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-22T07:25:03Z","title_canon_sha256":"a32987d02e3c5008d0117e52ee16636860f3364ad6e70120e06ec187b7c1c4d4"},"schema_version":"1.0","source":{"id":"2506.06282","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.06282","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.06282v1","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.06282","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"QQ5QDDV3JBRT","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"QQ5QDDV3JBRTJ4O2","created_at":"2026-07-05T11:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"QQ5QDDV3","created_at":"2026-07-05T11:17:47Z"}],"graph_snapshots":[{"event_id":"sha256:7bc246887b89b86ba5fbbd537caec0cb052e7f40d1fec0a1311307273a19c4a8","target":"graph","created_at":"2026-07-05T11:17:47Z","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/2506.06282/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Effective financial reasoning demands not only textual understanding but also the ability to interpret complex visual data such as charts, tables, and trend graphs. This paper introduces a new benchmark designed to evaluate how well AI models - especially large language and multimodal models - reason in finance-specific contexts. Covering 3,200 expert-level question-answer pairs across 15 core financial topics, the benchmark integrates both textual and visual modalities to reflect authentic analytical challenges in finance. To address limitations in current reasoning approaches, we propose an ","authors_text":"Chunhou Liu, Ciprian Doru Giurcuaneanu, Haizhou Peng, Jiachen Xu, Jiamou Liu, Shuangyan Deng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-22T07:25:03Z","title":"Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.06282","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:bed4ceda8c171ac744ee809bc803ff2f4ff72dc45c3025b40d41a4bc3c8ce5a8","target":"record","created_at":"2026-07-05T11:17:47Z","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":"4be80f39300f5aa2892f8ccf2b0c1af41ada43dc4f696c0bd785ffad4fd83d35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-04-22T07:25:03Z","title_canon_sha256":"a32987d02e3c5008d0117e52ee16636860f3364ad6e70120e06ec187b7c1c4d4"},"schema_version":"1.0","source":{"id":"2506.06282","kind":"arxiv","version":1}},"canonical_sha256":"843b018ebb486334f1da93567687fec73e933918e42f826e29dd680af3346d59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"843b018ebb486334f1da93567687fec73e933918e42f826e29dd680af3346d59","first_computed_at":"2026-07-05T11:17:47.298624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:47.298624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sE9qgyzASxL5vT62Q8Ebjt6fsd5Qh8O6kB3uYh8qKdGNp42BqexaT3PlgxMyf21vUn1URbsqakt0YLFROmEECw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:47.299116Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.06282","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bed4ceda8c171ac744ee809bc803ff2f4ff72dc45c3025b40d41a4bc3c8ce5a8","sha256:7bc246887b89b86ba5fbbd537caec0cb052e7f40d1fec0a1311307273a19c4a8"],"state_sha256":"0810b558ef0eeb1349cf69e44450d95b53d97c52400c31d29b4e7c69bea98895"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YKJedAhRsVddsBvGzXOEIKoB77EPIM2mwZs5mHDyOKMvsrJVtL6sCVYymOu/LM0cHkntZ2fbjWLLlMvEpFxfBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:10:05.091324Z","bundle_sha256":"8897430b0670bcc600b0ecb17edd6199067cf3a6e229d44f00763e11b7e40183"}}