{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:WYC6EMRNLMDAHFZVCYK5BECSOF","short_pith_number":"pith:WYC6EMRN","schema_version":"1.0","canonical_sha256":"b605e2322d5b060397351615d090527176c2aa70b7a4e58704b203f15a047900","source":{"kind":"arxiv","id":"2603.04024","version":2},"attestation_state":"computed","paper":{"title":"Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chao Wu, David Doermann, Kangxian Xie, Mahesh Bhosale, Mingchen Gao, Pouya Karimian","submitted_at":"2026-03-04T12:58:43Z","abstract_excerpt":"Ambiguous 3D medical image segmentation often involves boundaries where different expert delineations are non-identical yet clinically plausible. Modeling such inter-observer variability requires a careful balance between diversity and anatomical fidelity: deterministic models preserve coherent volumetric structures but collapse expert disagreement into a single mask, while stochastic generative models can produce diverse samples but may introduce disconnected components or slice-to-slice inconsistency when generating full 3D masks from unstructured noise. We propose Volumetric Directional Dif"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2603.04024","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-03-04T12:58:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b64dec3ad9f1e55183389e8bd6403cc5f5fddcb7738bfc5cbd21864aa997e630","abstract_canon_sha256":"712062fcd1da2402c664b3dcea14adad834871a27d1bb9297116fb958f2017d8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-08T01:18:26.374647Z","signature_b64":"QFZULavE8kqOqfIc5D8HKSiLdXzs6iNQ7STkU8+fLit3vGYvLH4cd8iEFiKLL5ceuFNjmXfETxMtpr1H/HpUDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b605e2322d5b060397351615d090527176c2aa70b7a4e58704b203f15a047900","last_reissued_at":"2026-07-08T01:18:26.374034Z","signature_status":"signed_v1","first_computed_at":"2026-07-08T01:18:26.374034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chao Wu, David Doermann, Kangxian Xie, Mahesh Bhosale, Mingchen Gao, Pouya Karimian","submitted_at":"2026-03-04T12:58:43Z","abstract_excerpt":"Ambiguous 3D medical image segmentation often involves boundaries where different expert delineations are non-identical yet clinically plausible. Modeling such inter-observer variability requires a careful balance between diversity and anatomical fidelity: deterministic models preserve coherent volumetric structures but collapse expert disagreement into a single mask, while stochastic generative models can produce diverse samples but may introduce disconnected components or slice-to-slice inconsistency when generating full 3D masks from unstructured noise. We propose Volumetric Directional Dif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.04024","kind":"arxiv","version":2},"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/2603.04024/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2603.04024","created_at":"2026-07-08T01:18:26.374111+00:00"},{"alias_kind":"arxiv_version","alias_value":"2603.04024v2","created_at":"2026-07-08T01:18:26.374111+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.04024","created_at":"2026-07-08T01:18:26.374111+00:00"},{"alias_kind":"pith_short_12","alias_value":"WYC6EMRNLMDA","created_at":"2026-07-08T01:18:26.374111+00:00"},{"alias_kind":"pith_short_16","alias_value":"WYC6EMRNLMDAHFZV","created_at":"2026-07-08T01:18:26.374111+00:00"},{"alias_kind":"pith_short_8","alias_value":"WYC6EMRN","created_at":"2026-07-08T01:18:26.374111+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF","json":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF.json","graph_json":"https://pith.science/api/pith-number/WYC6EMRNLMDAHFZVCYK5BECSOF/graph.json","events_json":"https://pith.science/api/pith-number/WYC6EMRNLMDAHFZVCYK5BECSOF/events.json","paper":"https://pith.science/paper/WYC6EMRN"},"agent_actions":{"view_html":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF","download_json":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF.json","view_paper":"https://pith.science/paper/WYC6EMRN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2603.04024&json=true","fetch_graph":"https://pith.science/api/pith-number/WYC6EMRNLMDAHFZVCYK5BECSOF/graph.json","fetch_events":"https://pith.science/api/pith-number/WYC6EMRNLMDAHFZVCYK5BECSOF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF/action/storage_attestation","attest_author":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF/action/author_attestation","sign_citation":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF/action/citation_signature","submit_replication":"https://pith.science/pith/WYC6EMRNLMDAHFZVCYK5BECSOF/action/replication_record"}},"created_at":"2026-07-08T01:18:26.374111+00:00","updated_at":"2026-07-08T01:18:26.374111+00:00"}