{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NIZXN6QA4I3B4VSE6QYORBWKNT","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":"369208c8fb3c582e2172883f0123837784fe73e116fcc402ceaec926c09281ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-30T21:54:02Z","title_canon_sha256":"7194904214d9fe4b0349759d81d361c89e8a51a65a2b2a364673ead6c28a61b9"},"schema_version":"1.0","source":{"id":"2606.00902","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00902","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00902v1","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00902","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"NIZXN6QA4I3B","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"NIZXN6QA4I3B4VSE","created_at":"2026-06-02T01:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"NIZXN6QA","created_at":"2026-06-02T01:04:09Z"}],"graph_snapshots":[{"event_id":"sha256:651cc883a04f1661e0ea969c54b6d275100c57adaf2853dce7e51914c7a06a25","target":"graph","created_at":"2026-06-02T01:04:09Z","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/2606.00902/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"General-purpose VLMs remain unreliable for biomedical research because valid answers in scientific papers depend on evidence split across figures, tables, charts, captions, and referring text. Existing post-training pipelines are bottlenecked by costly expert annotation and by synthetic data that drops this evidence structure. We present Ryze, a fully automated system that converts raw biomedical papers into an evidence-enriched training set and a domain-specialized VLM. Ryze synthesizes QA pairs with complete supporting evidence (visual element, caption, extracted structure, and referring par","authors_text":"Guanhao Su, Luo Mai, Yanwei Ye, Yeqi Huang, Yue Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-30T21:54:02Z","title":"Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00902","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:eb2962ba4b2e1b7b1f416bf89c957d3197c54a65211c71088189947b7d5611b0","target":"record","created_at":"2026-06-02T01:04:09Z","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":"369208c8fb3c582e2172883f0123837784fe73e116fcc402ceaec926c09281ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-30T21:54:02Z","title_canon_sha256":"7194904214d9fe4b0349759d81d361c89e8a51a65a2b2a364673ead6c28a61b9"},"schema_version":"1.0","source":{"id":"2606.00902","kind":"arxiv","version":1}},"canonical_sha256":"6a3376fa00e2361e5644f430e886ca6ce2217d8bc8a2b4eab8a69b1c161eff7a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a3376fa00e2361e5644f430e886ca6ce2217d8bc8a2b4eab8a69b1c161eff7a","first_computed_at":"2026-06-02T01:04:09.149150Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:04:09.149150Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X5UUBh7qcPCJjkc0MNSeQT0uhF8p9ZEY2vK3P75OspVofiE68ECFYhn81yyqygij2FxMzpb/QYg1zDThhxGZBw==","signature_status":"signed_v1","signed_at":"2026-06-02T01:04:09.149589Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00902","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb2962ba4b2e1b7b1f416bf89c957d3197c54a65211c71088189947b7d5611b0","sha256:651cc883a04f1661e0ea969c54b6d275100c57adaf2853dce7e51914c7a06a25"],"state_sha256":"1d995ae9a68bcfafd164e38f1d2205585a66bb76bc15f2ac71c1e102b3318b64"}