{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XBGQCGKSJFP4DNAUJ4GHSUP35S","short_pith_number":"pith:XBGQCGKS","canonical_record":{"source":{"id":"2505.07214","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-12T03:47:05Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"ec72c75a3bc1c6236bd2d46c4051cd085086c3926541bc13a94998d2fead4644","abstract_canon_sha256":"5d5757d1f87f9dfc9070f5d21c9fb45f57f562f5bd7880f55698dfee914325b3"},"schema_version":"1.0"},"canonical_sha256":"b84d011952495fc1b4144f0c7951fbecbc44269dc48b3d9b6c5d2c5c11cc3efa","source":{"kind":"arxiv","id":"2505.07214","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07214","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07214v3","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07214","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"pith_short_12","alias_value":"XBGQCGKSJFP4","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"pith_short_16","alias_value":"XBGQCGKSJFP4DNAU","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"pith_short_8","alias_value":"XBGQCGKS","created_at":"2026-07-05T11:09:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XBGQCGKSJFP4DNAUJ4GHSUP35S","target":"record","payload":{"canonical_record":{"source":{"id":"2505.07214","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-12T03:47:05Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"ec72c75a3bc1c6236bd2d46c4051cd085086c3926541bc13a94998d2fead4644","abstract_canon_sha256":"5d5757d1f87f9dfc9070f5d21c9fb45f57f562f5bd7880f55698dfee914325b3"},"schema_version":"1.0"},"canonical_sha256":"b84d011952495fc1b4144f0c7951fbecbc44269dc48b3d9b6c5d2c5c11cc3efa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:09:13.106197Z","signature_b64":"E7aTt0lNv6YND24O9cgIun7PpidcjdRS+GAV1AS8NU0m1aOR6OKPpTgslksWVvWk6PP24GEF4EDY1jL3iLVjBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b84d011952495fc1b4144f0c7951fbecbc44269dc48b3d9b6c5d2c5c11cc3efa","last_reissued_at":"2026-07-05T11:09:13.105719Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:09:13.105719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.07214","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:09:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Vd/2H3uPPBxEnRaVqi1F8vTyc0FOQZvuU4CLqVUOz44NMP9E02TO39ZporT7qhJEhmShpUnMZtRmD6DGdNOCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T02:05:54.861722Z"},"content_sha256":"1d913a55f7d9d81cb979d17fef1c5fa5b95f87f56cad55a9f91a98f9a016cdc7","schema_version":"1.0","event_id":"sha256:1d913a55f7d9d81cb979d17fef1c5fa5b95f87f56cad55a9f91a98f9a016cdc7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XBGQCGKSJFP4DNAUJ4GHSUP35S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards user-centered interactive medical image segmentation in VR with an assistive AI agent","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.HC","authors_text":"Arash Harirpoush, Pascal Spiegler, Yiming Xiao","submitted_at":"2025-05-12T03:47:05Z","abstract_excerpt":"Crucial in disease analysis and surgical planning, manual segmentation of volumetric medical scans (e.g. MRI, CT) is laborious, error-prone, and challenging to master, while fully automatic algorithms can benefit from user feedback. Therefore, with the complementary power of the latest radiological AI foundation models and virtual reality (VR)'s intuitive data interaction, we propose SAMIRA, a novel conversational AI agent for medical VR that assists users with localizing, segmenting, and visualizing 3D medical concepts. Through speech-based interaction, the agent helps users understand radiol"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07214","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.07214/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:09:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jsDEzTvEuzMMdiGYQKSclerzPMmzWz/L/xyqRWDnqYK7CX92enV35am6IWZcnvJgQuTcoYQhccqMxSjiA/63DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T02:05:54.862096Z"},"content_sha256":"7885f26f51a3982c5242f37da2afce2c56260665317a377bbd62ba1f16226802","schema_version":"1.0","event_id":"sha256:7885f26f51a3982c5242f37da2afce2c56260665317a377bbd62ba1f16226802"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XBGQCGKSJFP4DNAUJ4GHSUP35S/bundle.json","state_url":"https://pith.science/pith/XBGQCGKSJFP4DNAUJ4GHSUP35S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XBGQCGKSJFP4DNAUJ4GHSUP35S/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-19T02:05:54Z","links":{"resolver":"https://pith.science/pith/XBGQCGKSJFP4DNAUJ4GHSUP35S","bundle":"https://pith.science/pith/XBGQCGKSJFP4DNAUJ4GHSUP35S/bundle.json","state":"https://pith.science/pith/XBGQCGKSJFP4DNAUJ4GHSUP35S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XBGQCGKSJFP4DNAUJ4GHSUP35S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XBGQCGKSJFP4DNAUJ4GHSUP35S","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":"5d5757d1f87f9dfc9070f5d21c9fb45f57f562f5bd7880f55698dfee914325b3","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-12T03:47:05Z","title_canon_sha256":"ec72c75a3bc1c6236bd2d46c4051cd085086c3926541bc13a94998d2fead4644"},"schema_version":"1.0","source":{"id":"2505.07214","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07214","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07214v3","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07214","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"pith_short_12","alias_value":"XBGQCGKSJFP4","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"pith_short_16","alias_value":"XBGQCGKSJFP4DNAU","created_at":"2026-07-05T11:09:13Z"},{"alias_kind":"pith_short_8","alias_value":"XBGQCGKS","created_at":"2026-07-05T11:09:13Z"}],"graph_snapshots":[{"event_id":"sha256:7885f26f51a3982c5242f37da2afce2c56260665317a377bbd62ba1f16226802","target":"graph","created_at":"2026-07-05T11:09:13Z","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/2505.07214/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Crucial in disease analysis and surgical planning, manual segmentation of volumetric medical scans (e.g. MRI, CT) is laborious, error-prone, and challenging to master, while fully automatic algorithms can benefit from user feedback. Therefore, with the complementary power of the latest radiological AI foundation models and virtual reality (VR)'s intuitive data interaction, we propose SAMIRA, a novel conversational AI agent for medical VR that assists users with localizing, segmenting, and visualizing 3D medical concepts. Through speech-based interaction, the agent helps users understand radiol","authors_text":"Arash Harirpoush, Pascal Spiegler, Yiming Xiao","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-12T03:47:05Z","title":"Towards user-centered interactive medical image segmentation in VR with an assistive AI agent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07214","kind":"arxiv","version":3},"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":"sha256:1d913a55f7d9d81cb979d17fef1c5fa5b95f87f56cad55a9f91a98f9a016cdc7","target":"record","created_at":"2026-07-05T11:09:13Z","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":"5d5757d1f87f9dfc9070f5d21c9fb45f57f562f5bd7880f55698dfee914325b3","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-05-12T03:47:05Z","title_canon_sha256":"ec72c75a3bc1c6236bd2d46c4051cd085086c3926541bc13a94998d2fead4644"},"schema_version":"1.0","source":{"id":"2505.07214","kind":"arxiv","version":3}},"canonical_sha256":"b84d011952495fc1b4144f0c7951fbecbc44269dc48b3d9b6c5d2c5c11cc3efa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b84d011952495fc1b4144f0c7951fbecbc44269dc48b3d9b6c5d2c5c11cc3efa","first_computed_at":"2026-07-05T11:09:13.105719Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:13.105719Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E7aTt0lNv6YND24O9cgIun7PpidcjdRS+GAV1AS8NU0m1aOR6OKPpTgslksWVvWk6PP24GEF4EDY1jL3iLVjBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:13.106197Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07214","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d913a55f7d9d81cb979d17fef1c5fa5b95f87f56cad55a9f91a98f9a016cdc7","sha256:7885f26f51a3982c5242f37da2afce2c56260665317a377bbd62ba1f16226802"],"state_sha256":"160d51347b2130a77dbedbe635f10f39241e7e79451ee95ce426147faa96ec88"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gCxcJim6KZ3FGCgPXHGA7dh2j0ObsBA3VwpLkhFRhHkUrN1Emms6REVb/dzMOjFoIBcCHzNT2bTlZw0FrVAoBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T02:05:54.864748Z","bundle_sha256":"ce3623e25121f57182876589c7a9f04e5b08821c1195aa607c06c8ac312bf5cf"}}