{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2VUJUEF566W4EPAS47OHQ3FI7G","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":"78294e70b945a91922c3b8f2728293cd016ce0bba11a7f2983947205b5c8fe15","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-06T15:41:26Z","title_canon_sha256":"6c94227e2e3c4d79568bf91684ac42116dcf0f27401fc940547d7743299f9610"},"schema_version":"1.0","source":{"id":"2410.04526","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04526","created_at":"2026-07-05T11:03:17Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04526v4","created_at":"2026-07-05T11:03:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04526","created_at":"2026-07-05T11:03:17Z"},{"alias_kind":"pith_short_12","alias_value":"2VUJUEF566W4","created_at":"2026-07-05T11:03:17Z"},{"alias_kind":"pith_short_16","alias_value":"2VUJUEF566W4EPAS","created_at":"2026-07-05T11:03:17Z"},{"alias_kind":"pith_short_8","alias_value":"2VUJUEF5","created_at":"2026-07-05T11:03:17Z"}],"graph_snapshots":[{"event_id":"sha256:365af5deabf0d5199a81d5f7825573c290534621ef737cceb35b525cabcd6e66","target":"graph","created_at":"2026-07-05T11:03:17Z","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/2410.04526/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we introduce FAMMA, an open-source benchmark for \\underline{f}in\\underline{a}ncial \\underline{m}ultilingual \\underline{m}ultimodal question \\underline{a}nswering (QA). Our benchmark aims to evaluate the abilities of large language models (LLMs) in answering complex reasoning questions that require advanced financial knowledge. The benchmark has two versions: FAMMA-Basic consists of 1,945 questions extracted from university textbooks and exams, along with human-annotated answers and rationales; FAMMA-LivePro consists of 103 novel questions created by human domain experts, with an","authors_text":"Fan Zhou, Hongyuan Mei, Qingyang Dai, Siqiao Xue, Xiaojing Li, Zhixuan Chu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-06T15:41:26Z","title":"FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04526","kind":"arxiv","version":4},"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":"sha256:22b1297917881e7b8d164d308aab1ad43fe32492e9243e0eae6ea319fccdd28b","target":"record","created_at":"2026-07-05T11:03:17Z","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":"78294e70b945a91922c3b8f2728293cd016ce0bba11a7f2983947205b5c8fe15","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-06T15:41:26Z","title_canon_sha256":"6c94227e2e3c4d79568bf91684ac42116dcf0f27401fc940547d7743299f9610"},"schema_version":"1.0","source":{"id":"2410.04526","kind":"arxiv","version":4}},"canonical_sha256":"d5689a10bdf7adc23c12e7dc786ca8f99e8229b40eee10f8b24d1d3461355393","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5689a10bdf7adc23c12e7dc786ca8f99e8229b40eee10f8b24d1d3461355393","first_computed_at":"2026-07-05T11:03:17.151070Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:03:17.151070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zHteMoLSDnOhUkOBXlmK5MViMwmOQe4zh74VDrMxkMQkHcGiK9TjiLtexxGNOto01ne+mA72CEOfLD6lvnXVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:03:17.151517Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.04526","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22b1297917881e7b8d164d308aab1ad43fe32492e9243e0eae6ea319fccdd28b","sha256:365af5deabf0d5199a81d5f7825573c290534621ef737cceb35b525cabcd6e66"],"state_sha256":"84a84fd7476ffd946c1a61a3b1ce62faab6fa4adecf2acc5bc8b601af90dcd2b"}