{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6NQIRHD3EBUWA5275H4ADZ7RCJ","short_pith_number":"pith:6NQIRHD3","canonical_record":{"source":{"id":"2502.20808","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-28T07:50:36Z","cross_cats_sorted":[],"title_canon_sha256":"f1e3448103b72097449c821b41dba523f3374115fac99bb6017fe8e755d12718","abstract_canon_sha256":"3b8ba5ac710b62e8a5666726acc057ada9cfdbe36c8e1d0e94d8c994dfce4fc8"},"schema_version":"1.0"},"canonical_sha256":"f360889c7b206960775fe9f801e7f11250e4baa5e5651a7194b679d3a37a3d4d","source":{"kind":"arxiv","id":"2502.20808","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20808","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20808v6","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20808","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"pith_short_12","alias_value":"6NQIRHD3EBUW","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"pith_short_16","alias_value":"6NQIRHD3EBUWA527","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"pith_short_8","alias_value":"6NQIRHD3","created_at":"2026-07-05T11:46:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6NQIRHD3EBUWA5275H4ADZ7RCJ","target":"record","payload":{"canonical_record":{"source":{"id":"2502.20808","kind":"arxiv","version":6},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-28T07:50:36Z","cross_cats_sorted":[],"title_canon_sha256":"f1e3448103b72097449c821b41dba523f3374115fac99bb6017fe8e755d12718","abstract_canon_sha256":"3b8ba5ac710b62e8a5666726acc057ada9cfdbe36c8e1d0e94d8c994dfce4fc8"},"schema_version":"1.0"},"canonical_sha256":"f360889c7b206960775fe9f801e7f11250e4baa5e5651a7194b679d3a37a3d4d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:39.663925Z","signature_b64":"Y+ri4eqccRdWI+olV8ORjKlVXrvg8dhmE0YA6oMycLW5cltJ/w2vilWtGR3UWqU+j9iou/N9Q+0a1xYIn72jCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f360889c7b206960775fe9f801e7f11250e4baa5e5651a7194b679d3a37a3d4d","last_reissued_at":"2026-07-05T11:46:39.663433Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:39.663433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.20808","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:46:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XWfQrI3zIlRIEeLRNa4wmzVDGwYjrvulsgjyIrbrKCVQRernIDA/NmkuTceR1+bUeLfKq2uODnFvM8tk2D1uBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:49:00.431490Z"},"content_sha256":"cb2eed42b0777fd6f2dee93521625343345272ab89f49e897172ffa283c8c11a","schema_version":"1.0","event_id":"sha256:cb2eed42b0777fd6f2dee93521625343345272ab89f49e897172ffa283c8c11a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6NQIRHD3EBUWA5275H4ADZ7RCJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Cheng-Lin Liu, Dekang Ran, Fei Yin, Peijie Wang, Xin Yang, Zhong-Zhi Li","submitted_at":"2025-02-28T07:50:36Z","abstract_excerpt":"Multimodal Large Language Models (MLLMs) have shown promising capabilities in mathematical reasoning within visual contexts across various datasets. However, most existing multimodal math benchmarks are limited to single-visual contexts, which diverges from the multi-visual scenarios commonly encountered in real-world mathematical applications. To address this gap, we introduce MV-MATH: a meticulously curated dataset of 2,009 high-quality mathematical problems. Each problem integrates multiple images interleaved with text, derived from authentic K-12 scenarios, and enriched with detailed annot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20808","kind":"arxiv","version":6},"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/2502.20808/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":"2026-07-05T11:46:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V32UnJ3vtQALdgnH1sXhZ9/eRM9OpwnLeZc/ihSy7peo6hTPo8oBepaPbWn3y7jcPRxUYKiqU/hO3pAs7YiiCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:49:00.431994Z"},"content_sha256":"00e8dcea092439204a237fe65110f29a55fea8d209095c0f112c16ce442e012c","schema_version":"1.0","event_id":"sha256:00e8dcea092439204a237fe65110f29a55fea8d209095c0f112c16ce442e012c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6NQIRHD3EBUWA5275H4ADZ7RCJ/bundle.json","state_url":"https://pith.science/pith/6NQIRHD3EBUWA5275H4ADZ7RCJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6NQIRHD3EBUWA5275H4ADZ7RCJ/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":"2026-08-10T01:49:00Z","links":{"resolver":"https://pith.science/pith/6NQIRHD3EBUWA5275H4ADZ7RCJ","bundle":"https://pith.science/pith/6NQIRHD3EBUWA5275H4ADZ7RCJ/bundle.json","state":"https://pith.science/pith/6NQIRHD3EBUWA5275H4ADZ7RCJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6NQIRHD3EBUWA5275H4ADZ7RCJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6NQIRHD3EBUWA5275H4ADZ7RCJ","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":"3b8ba5ac710b62e8a5666726acc057ada9cfdbe36c8e1d0e94d8c994dfce4fc8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-28T07:50:36Z","title_canon_sha256":"f1e3448103b72097449c821b41dba523f3374115fac99bb6017fe8e755d12718"},"schema_version":"1.0","source":{"id":"2502.20808","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20808","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20808v6","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20808","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"pith_short_12","alias_value":"6NQIRHD3EBUW","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"pith_short_16","alias_value":"6NQIRHD3EBUWA527","created_at":"2026-07-05T11:46:39Z"},{"alias_kind":"pith_short_8","alias_value":"6NQIRHD3","created_at":"2026-07-05T11:46:39Z"}],"graph_snapshots":[{"event_id":"sha256:00e8dcea092439204a237fe65110f29a55fea8d209095c0f112c16ce442e012c","target":"graph","created_at":"2026-07-05T11:46:39Z","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/2502.20808/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal Large Language Models (MLLMs) have shown promising capabilities in mathematical reasoning within visual contexts across various datasets. However, most existing multimodal math benchmarks are limited to single-visual contexts, which diverges from the multi-visual scenarios commonly encountered in real-world mathematical applications. To address this gap, we introduce MV-MATH: a meticulously curated dataset of 2,009 high-quality mathematical problems. Each problem integrates multiple images interleaved with text, derived from authentic K-12 scenarios, and enriched with detailed annot","authors_text":"Cheng-Lin Liu, Dekang Ran, Fei Yin, Peijie Wang, Xin Yang, Zhong-Zhi Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-28T07:50:36Z","title":"MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20808","kind":"arxiv","version":6},"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:cb2eed42b0777fd6f2dee93521625343345272ab89f49e897172ffa283c8c11a","target":"record","created_at":"2026-07-05T11:46:39Z","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":"3b8ba5ac710b62e8a5666726acc057ada9cfdbe36c8e1d0e94d8c994dfce4fc8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-28T07:50:36Z","title_canon_sha256":"f1e3448103b72097449c821b41dba523f3374115fac99bb6017fe8e755d12718"},"schema_version":"1.0","source":{"id":"2502.20808","kind":"arxiv","version":6}},"canonical_sha256":"f360889c7b206960775fe9f801e7f11250e4baa5e5651a7194b679d3a37a3d4d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f360889c7b206960775fe9f801e7f11250e4baa5e5651a7194b679d3a37a3d4d","first_computed_at":"2026-07-05T11:46:39.663433Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:39.663433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y+ri4eqccRdWI+olV8ORjKlVXrvg8dhmE0YA6oMycLW5cltJ/w2vilWtGR3UWqU+j9iou/N9Q+0a1xYIn72jCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:39.663925Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.20808","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb2eed42b0777fd6f2dee93521625343345272ab89f49e897172ffa283c8c11a","sha256:00e8dcea092439204a237fe65110f29a55fea8d209095c0f112c16ce442e012c"],"state_sha256":"295f3717fd840df8716dffc556854c6af51229f73b3d568b59d8acd2de04af90"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pM2Ewd2LJ7yrxFkyuxHlTN/y7G+lTzc2R5DCHZ5L8bcUPnfBgMAQUOIYL/HMI4eYx49Ode08dgdUfqvKFUuZBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T01:49:00.436226Z","bundle_sha256":"798714a60343d7c6a4b71b32e57334ba47aab3f64856de533e24653989295ffe"}}