{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ETH3GI5PZZRYCL3L2VIZLT5ANG","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":"42db56e0b4269debf93b2d8068929e67f250ec5eccffbe64e6803a7ff8e394fb","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T07:16:27Z","title_canon_sha256":"298cf33a82fa471a37169aff2ac02198515350bd221652d4afad41e1dd7cc0ee"},"schema_version":"1.0","source":{"id":"2606.11740","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11740","created_at":"2026-06-11T01:10:05Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11740v1","created_at":"2026-06-11T01:10:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11740","created_at":"2026-06-11T01:10:05Z"},{"alias_kind":"pith_short_12","alias_value":"ETH3GI5PZZRY","created_at":"2026-06-11T01:10:05Z"},{"alias_kind":"pith_short_16","alias_value":"ETH3GI5PZZRYCL3L","created_at":"2026-06-11T01:10:05Z"},{"alias_kind":"pith_short_8","alias_value":"ETH3GI5P","created_at":"2026-06-11T01:10:05Z"}],"graph_snapshots":[{"event_id":"sha256:7cf7eb0c0de9e23ff3ad64cdb64958b0630390c198c5838cda9cf2fb28a6b27e","target":"graph","created_at":"2026-06-11T01:10:05Z","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/2606.11740/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study whether grounded reasoning supervision from abundant 2D medical images can improve 3D medical VQA when both input types are aligned through a common reasoning interface. We introduce UniReason-Med, a single-checkpoint framework that processes either a 2D image or a slice-serialized 3D volume at inference time, generating interleaved textual reasoning and localized visual evidence through shared box syntax, region-token injection, and a common grounded reasoning policy. To train this interface, we construct UniMed-CoT, a 220K instruction-tuning dataset with interleaved textual reasonin","authors_text":"Bryan Dai, Chi Liu, Derek Li, Hongming Piao, Mengzhuo Chen, Xidong Wang, Yan Shu","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T07:16:27Z","title":"UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11740","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":"sha256:02155ae92646ebef58ad25baeb546bd6c2c24a56aecc79cf98b72abad5ed729e","target":"record","created_at":"2026-06-11T01:10:05Z","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":"42db56e0b4269debf93b2d8068929e67f250ec5eccffbe64e6803a7ff8e394fb","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T07:16:27Z","title_canon_sha256":"298cf33a82fa471a37169aff2ac02198515350bd221652d4afad41e1dd7cc0ee"},"schema_version":"1.0","source":{"id":"2606.11740","kind":"arxiv","version":1}},"canonical_sha256":"24cfb323afce63812f6bd55195cfa0699aa9978ac4a85d34edffe45bad0e066d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24cfb323afce63812f6bd55195cfa0699aa9978ac4a85d34edffe45bad0e066d","first_computed_at":"2026-06-11T01:10:05.602191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:10:05.602191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"79xUPIoUJCNgfCiMr5tfb+zgjoNXB+PCrJSZ6vLNEU1aj/uweQToJqMRS0wi4GPeekkpkyUqua8yeq5pAZYWAw==","signature_status":"signed_v1","signed_at":"2026-06-11T01:10:05.603027Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11740","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02155ae92646ebef58ad25baeb546bd6c2c24a56aecc79cf98b72abad5ed729e","sha256:7cf7eb0c0de9e23ff3ad64cdb64958b0630390c198c5838cda9cf2fb28a6b27e"],"state_sha256":"e9871e055aae7e2304ade9ae035161498926391b6155c2df18917cc2b4de91a4"}