{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WAFVJ4L3FER27RYNXXWDIG5D7N","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":"682979c471383f0a7e7f956db119889e523d2d352c7275546335078b33e0f063","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T20:40:45Z","title_canon_sha256":"2d92d41c22a3f308fcc56c33f5a0d457f295be98fe854c089588be9fc2b459d2"},"schema_version":"1.0","source":{"id":"2606.17279","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.17279","created_at":"2026-06-19T16:10:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.17279v1","created_at":"2026-06-19T16:10:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17279","created_at":"2026-06-19T16:10:07Z"},{"alias_kind":"pith_short_12","alias_value":"WAFVJ4L3FER2","created_at":"2026-06-19T16:10:07Z"},{"alias_kind":"pith_short_16","alias_value":"WAFVJ4L3FER27RYN","created_at":"2026-06-19T16:10:07Z"},{"alias_kind":"pith_short_8","alias_value":"WAFVJ4L3","created_at":"2026-06-19T16:10:07Z"}],"graph_snapshots":[{"event_id":"sha256:9fb07bbbe87a0e9a18cea0397b63fefe173b6bc5e2ba3039c356374360da6365","target":"graph","created_at":"2026-06-19T16:10:07Z","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/2606.17279/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Surgical video question answering requires multi-step reasoning across semantic, spatial, and temporal dimensions. Existing methods architecturally compress videos into discrete token representations and couple visual perception with reasoning. This approach fragments continuous spatial-temporal relationships and has been shown to restrict multi-step reasoning capabilities. We introduce a reinforcement learning (RL) framework that trains large language models (LLMs) to decouple perception from reasoning by operating over digital twin representations constructed from surgical foundation models.","authors_text":"Han Zhang, Mathias Unberath, Yiqing Shen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T20:40:45Z","title":"Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17279","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":"sha256:753b17aed5ef87761c03a6c3babfe3b140aaeb7152504a3fc58568b9059f8709","target":"record","created_at":"2026-06-19T16:10:07Z","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":"682979c471383f0a7e7f956db119889e523d2d352c7275546335078b33e0f063","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T20:40:45Z","title_canon_sha256":"2d92d41c22a3f308fcc56c33f5a0d457f295be98fe854c089588be9fc2b459d2"},"schema_version":"1.0","source":{"id":"2606.17279","kind":"arxiv","version":1}},"canonical_sha256":"b00b54f17b2923afc70dbdec341ba3fb663892aa328d4981e6296f238c55e135","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b00b54f17b2923afc70dbdec341ba3fb663892aa328d4981e6296f238c55e135","first_computed_at":"2026-06-19T16:10:07.963798Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:10:07.963798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q/1naz4m0em+gsnhMtXRsy4Rpx/ey9UUy0JPT2yqCdC9GE1m3NLhBfgx0gQkbjC+sKppLA78kSZ1n3YipMqYAQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:10:07.964218Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.17279","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:753b17aed5ef87761c03a6c3babfe3b140aaeb7152504a3fc58568b9059f8709","sha256:9fb07bbbe87a0e9a18cea0397b63fefe173b6bc5e2ba3039c356374360da6365"],"state_sha256":"e03d0346a69ff8d13499b36e47ca3594562d1f8af05a9c22cc49a9330ff01c38"}