{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BDXL56NYU5ZCQ5G7M3U2CH3QKB","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":"683b0412a9a8171104577a680ffaf5f3dd64606763ec20acf13261cf97f162fd","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-30T20:42:24Z","title_canon_sha256":"013ec211bbe7533c06cc7da7bb38283f0325279d2a0a425537a130cd829c769a"},"schema_version":"1.0","source":{"id":"2507.23088","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23088","created_at":"2026-07-05T11:46:05Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23088v1","created_at":"2026-07-05T11:46:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23088","created_at":"2026-07-05T11:46:05Z"},{"alias_kind":"pith_short_12","alias_value":"BDXL56NYU5ZC","created_at":"2026-07-05T11:46:05Z"},{"alias_kind":"pith_short_16","alias_value":"BDXL56NYU5ZCQ5G7","created_at":"2026-07-05T11:46:05Z"},{"alias_kind":"pith_short_8","alias_value":"BDXL56NY","created_at":"2026-07-05T11:46:05Z"}],"graph_snapshots":[{"event_id":"sha256:679999db99503f940c57b7212ac9765f38d26209d4a0e6f10c9e808b3d741ced","target":"graph","created_at":"2026-07-05T11:46:05Z","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/2507.23088/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Emerging surgical data science and robotics solutions, especially those designed to provide assistance in situ, require natural human-machine interfaces to fully unlock their potential in providing adaptive and intuitive aid. Contemporary AI-driven solutions remain inherently rigid, offering limited flexibility and restricting natural human-machine interaction in dynamic surgical environments. These solutions rely heavily on extensive task-specific pre-training, fixed object categories, and explicit manual-prompting. This work introduces a novel Perception Agent that leverages speech-integrate","authors_text":"Grayson Byrd, Hao Ding, Jiru Xu, Jose L. Porras, Lalithkumar Seenivasan, Masaru Ishii, Mathias Unberath, Roger D. Soberanis Mukul, Yu-Chun Ku","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-30T20:42:24Z","title":"Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23088","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:df2b5a16aa66a0a7141c921d8e16b156e004a07a6c7d1ffff31e64191a886258","target":"record","created_at":"2026-07-05T11:46:05Z","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":"683b0412a9a8171104577a680ffaf5f3dd64606763ec20acf13261cf97f162fd","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-07-30T20:42:24Z","title_canon_sha256":"013ec211bbe7533c06cc7da7bb38283f0325279d2a0a425537a130cd829c769a"},"schema_version":"1.0","source":{"id":"2507.23088","kind":"arxiv","version":1}},"canonical_sha256":"08eebef9b8a7722874df66e9a11f705049606e027f8412397002ec78bee37954","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08eebef9b8a7722874df66e9a11f705049606e027f8412397002ec78bee37954","first_computed_at":"2026-07-05T11:46:05.214643Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:05.214643Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kKqLeUxSFhZXGxhK+1cqzL8Pxrwtwb0iYFNmmiM2gryRutHK8bUizUxPpGbMwW/eJjMC20XyFCNlrQvwtYp4Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:05.215183Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.23088","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df2b5a16aa66a0a7141c921d8e16b156e004a07a6c7d1ffff31e64191a886258","sha256:679999db99503f940c57b7212ac9765f38d26209d4a0e6f10c9e808b3d741ced"],"state_sha256":"2d34664f28f21bf6317ce871cb97f1a00858481619c8ff2531af1ffac8a88cbc"}