{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ITPCLALN27DRW3EPM7KJ2LUASG","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":"e2f224ef8ed984d6c833c6b4030f9d395cc55bff6c7b94c85e1bd5f13149a088","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T13:09:32Z","title_canon_sha256":"73c0df8c7d231e97e41407b6c089d437f03214dbd18aa7eb1241b18ef2107e86"},"schema_version":"1.0","source":{"id":"2606.17888","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.17888","created_at":"2026-06-19T16:10:42Z"},{"alias_kind":"arxiv_version","alias_value":"2606.17888v1","created_at":"2026-06-19T16:10:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17888","created_at":"2026-06-19T16:10:42Z"},{"alias_kind":"pith_short_12","alias_value":"ITPCLALN27DR","created_at":"2026-06-19T16:10:42Z"},{"alias_kind":"pith_short_16","alias_value":"ITPCLALN27DRW3EP","created_at":"2026-06-19T16:10:42Z"},{"alias_kind":"pith_short_8","alias_value":"ITPCLALN","created_at":"2026-06-19T16:10:42Z"}],"graph_snapshots":[{"event_id":"sha256:50e71110c348e7218166ccd7706628aa35baeb948cff9eb295c3f03e089da348","target":"graph","created_at":"2026-06-19T16:10:42Z","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/2606.17888/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Chain-of-Thought (CoT) reasoning has extended from purely linguistic domains to multimodal scenarios; however, existing approaches often treat visual inputs as homogeneous or auxiliary signals, failing to capture the intricate and sample-specific dependencies between text and images in mathematical problem-solving. This gives rise to two core issues: first, the supervisory signals for visual content are generalized and coarse-grained, lacking adaptation to the actual necessity of visual information in each sample; second, training feedback becomes inaccurate when visual rewards are uniformly a","authors_text":"Haidong Yuan, Haokun Zhao, Long Ma, Songjun Cao, Wanshi Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T13:09:32Z","title":"MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17888","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":"sha256:05ddd6f03112ba7aa37373f735f883a20c27aff48c48dc76befa9d2c7a2ff997","target":"record","created_at":"2026-06-19T16:10:42Z","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":"e2f224ef8ed984d6c833c6b4030f9d395cc55bff6c7b94c85e1bd5f13149a088","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-16T13:09:32Z","title_canon_sha256":"73c0df8c7d231e97e41407b6c089d437f03214dbd18aa7eb1241b18ef2107e86"},"schema_version":"1.0","source":{"id":"2606.17888","kind":"arxiv","version":1}},"canonical_sha256":"44de25816dd7c71b6c8f67d49d2e8091b6087b84831de0fb9c9baa1a31f33508","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"44de25816dd7c71b6c8f67d49d2e8091b6087b84831de0fb9c9baa1a31f33508","first_computed_at":"2026-06-19T16:10:42.700196Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:10:42.700196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PqZHHJGA2p2GV0+oexHGkIkfVqGPVGUVUkWXPa7T9Cb6E1QXO0abIhMAbfSTR7oHGtM2hAtBz4pff3QrSuVRDw==","signature_status":"signed_v1","signed_at":"2026-06-19T16:10:42.700628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.17888","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05ddd6f03112ba7aa37373f735f883a20c27aff48c48dc76befa9d2c7a2ff997","sha256:50e71110c348e7218166ccd7706628aa35baeb948cff9eb295c3f03e089da348"],"state_sha256":"cccb47f44e1f989a03279e0eb9edcbf32ac58b8d21031bbbaddf4ced9963ca87"}