{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NJ5VN3IP6M3XIXOLW2R5K5PBVO","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":"aba269d62001682faed3c887aaa932a8b3192b503b8be0d3f2dc5bff23913ef1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T15:56:04Z","title_canon_sha256":"41aeaa8bf49cce27e5fa199f4ec9263165a99367c231f25d944cfaf7328db7bf"},"schema_version":"1.0","source":{"id":"2503.16260","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.16260","created_at":"2026-07-05T10:36:08Z"},{"alias_kind":"arxiv_version","alias_value":"2503.16260v1","created_at":"2026-07-05T10:36:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.16260","created_at":"2026-07-05T10:36:08Z"},{"alias_kind":"pith_short_12","alias_value":"NJ5VN3IP6M3X","created_at":"2026-07-05T10:36:08Z"},{"alias_kind":"pith_short_16","alias_value":"NJ5VN3IP6M3XIXOL","created_at":"2026-07-05T10:36:08Z"},{"alias_kind":"pith_short_8","alias_value":"NJ5VN3IP","created_at":"2026-07-05T10:36:08Z"}],"graph_snapshots":[{"event_id":"sha256:809ba588cacb7f7a3cf6e999e810e463f6f4ae311f4edd60003a0115e59525be","target":"graph","created_at":"2026-07-05T10:36:08Z","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/2503.16260/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visual reasoning is crucial for multimodal large language models (MLLMs) to address complex chart queries, yet high-quality rationale data remains scarce. Existing methods leveraged (M)LLMs for data generation, but direct prompting often yields limited precision and diversity. In this paper, we propose \\textit{Chain of Functions (CoF)}, a novel programmatic reasoning data generation pipeline that utilizes freely-explored reasoning paths as supervision to ensure data precision and diversity. Specifically, it starts with human-free exploration among the atomic functions (e.g., maximum data and a","authors_text":"Jiang Bian, Jingjing Fu, Jun Zhang, Lei Song, Rui Wang, Zijian Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T15:56:04Z","title":"Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.16260","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":"sha256:4c4e80bebd42fc84e1c83daab4a19d77b0b1ee97e01aa9445ac7eba59c41817b","target":"record","created_at":"2026-07-05T10:36:08Z","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":"aba269d62001682faed3c887aaa932a8b3192b503b8be0d3f2dc5bff23913ef1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-20T15:56:04Z","title_canon_sha256":"41aeaa8bf49cce27e5fa199f4ec9263165a99367c231f25d944cfaf7328db7bf"},"schema_version":"1.0","source":{"id":"2503.16260","kind":"arxiv","version":1}},"canonical_sha256":"6a7b56ed0ff337745dcbb6a3d575e1aba7f1902aa4338bee0a6f3a334b63e8de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a7b56ed0ff337745dcbb6a3d575e1aba7f1902aa4338bee0a6f3a334b63e8de","first_computed_at":"2026-07-05T10:36:08.874740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:08.874740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gGdakfHpeoTdHw5zRzTcENzY1sTChp1I4EDRYxYfq0C/Z0vZsNsKL4AwJ/Hio+mAXiXP91IzPvlVhSKQywi4DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:08.875301Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.16260","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c4e80bebd42fc84e1c83daab4a19d77b0b1ee97e01aa9445ac7eba59c41817b","sha256:809ba588cacb7f7a3cf6e999e810e463f6f4ae311f4edd60003a0115e59525be"],"state_sha256":"c30ae49b75db95eceb0ac17d0fd49d18cc0fcf84f931ec7329472315925c3ac3"}