{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BKHNO3VPM5NDDTALM2KBDPBZO5","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":"784626cbcd88e62cb12262a12cf242facfbee5760eac95f3fddce132bf63faa3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T15:36:19Z","title_canon_sha256":"e3aa143cb69ff9e76ab40b5a20d109083ed933581a9b73d7fc535fe4e3e7a133"},"schema_version":"1.0","source":{"id":"2505.24714","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24714","created_at":"2026-07-05T11:12:55Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24714v1","created_at":"2026-07-05T11:12:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24714","created_at":"2026-07-05T11:12:55Z"},{"alias_kind":"pith_short_12","alias_value":"BKHNO3VPM5ND","created_at":"2026-07-05T11:12:55Z"},{"alias_kind":"pith_short_16","alias_value":"BKHNO3VPM5NDDTAL","created_at":"2026-07-05T11:12:55Z"},{"alias_kind":"pith_short_8","alias_value":"BKHNO3VP","created_at":"2026-07-05T11:12:55Z"}],"graph_snapshots":[{"event_id":"sha256:f65395d90383a6db03d8bf58fb541a742951e9ed9a834106533772949b252485","target":"graph","created_at":"2026-07-05T11:12:55Z","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/2505.24714/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal Large Language Models (MLLMs) have experienced rapid development in recent years. However, in the financial domain, there is a notable lack of effective and specialized multimodal evaluation datasets. To advance the development of MLLMs in the finance domain, we introduce FinMME, encompassing more than 11,000 high-quality financial research samples across 18 financial domains and 6 asset classes, featuring 10 major chart types and 21 subtypes. We ensure data quality through 20 annotators and carefully designed validation mechanisms. Additionally, we develop FinScore, an evaluation s","authors_text":"Chengzhong Liu, Jiaming Ji, Jingshu Peng, Jinsheng Huang, Junyu Luo, Liming Yang, Ming Zhang, Sirui Han, Xiao Luo, Xuanzhe Liu, Yike Guo, Zhiping Xiao, Zhizhuo Kou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T15:36:19Z","title":"FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24714","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:adcc6fa3fbf2c323d5082d895398217f48913f5ae88c74316b94991c2948e513","target":"record","created_at":"2026-07-05T11:12:55Z","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":"784626cbcd88e62cb12262a12cf242facfbee5760eac95f3fddce132bf63faa3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-30T15:36:19Z","title_canon_sha256":"e3aa143cb69ff9e76ab40b5a20d109083ed933581a9b73d7fc535fe4e3e7a133"},"schema_version":"1.0","source":{"id":"2505.24714","kind":"arxiv","version":1}},"canonical_sha256":"0a8ed76eaf675a31cc0b669411bc397762c238a1872c29497bbbabbaf0dedb07","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a8ed76eaf675a31cc0b669411bc397762c238a1872c29497bbbabbaf0dedb07","first_computed_at":"2026-07-05T11:12:55.320802Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:55.320802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cmi9YwIoYAYMVFUasslW7DXutWqcXpkfhvNd7eCtkZT4bK1XuFVuf8R3p6gVuUzUhrDogXB+vq5bCWGcQ7IaDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:55.321434Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24714","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:adcc6fa3fbf2c323d5082d895398217f48913f5ae88c74316b94991c2948e513","sha256:f65395d90383a6db03d8bf58fb541a742951e9ed9a834106533772949b252485"],"state_sha256":"5ee73b62c03ebca918463ab344fdd3c5af9a61d9d357f197b755d58773db1718"}