{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:5I6U52Q6ZLATM7ALXVQAOA7KDY","short_pith_number":"pith:5I6U52Q6","schema_version":"1.0","canonical_sha256":"ea3d4eea1ecac1367c0bbd600703ea1e380047af84ed9816a4eca77201cefe4d","source":{"kind":"arxiv","id":"2602.11467","version":2},"attestation_state":"computed","paper":{"title":"PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Andrew Prince, Benjamin H Shields, Cameron P Worden, Carlton Jude Zdanski, Christopher Rutter, Jisan Mahmud, Julia S Kimbell, Marc Niethammer, Samuel Kirse, Sreekalyani Bhamidi, Yining Jiao","submitted_at":"2026-02-12T00:55:31Z","abstract_excerpt":"Understanding how anatomical shapes evolve in response to developmental covariates - and quantifying their spatially varying uncertainties - is critical in healthcare research. Existing approaches typically rely on global time-warping formulations that ignore spatially heterogeneous dynamics. We introduce PRISM, a novel framework that bridges implicit neural representations with uncertainty-aware statistical shape analysis. PRISM models the conditional distribution of shapes given covariates, providing spatially continuous estimates of both the population mean and covariate-dependent uncertain"},"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":"2602.11467","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-12T00:55:31Z","cross_cats_sorted":[],"title_canon_sha256":"679d6cdfaa125a868630687884d689d0dd1dfe3c3f98472c62cf98e8407a3360","abstract_canon_sha256":"3d0d884defbdfd6c3a1f340196c6b1b01997382c1bb10b90927eabcc46062353"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:10:54.767695Z","signature_b64":"TptkP3stLjVb88awLbG5YfDtIYdceRrJhIt38v2WO3xu/L2vNGxb8gsm4cLBwhnOCsH7JJOxWLi/CNki3kxGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea3d4eea1ecac1367c0bbd600703ea1e380047af84ed9816a4eca77201cefe4d","last_reissued_at":"2026-06-19T16:10:54.767221Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:10:54.767221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Andrew Prince, Benjamin H Shields, Cameron P Worden, Carlton Jude Zdanski, Christopher Rutter, Jisan Mahmud, Julia S Kimbell, Marc Niethammer, Samuel Kirse, Sreekalyani Bhamidi, Yining Jiao","submitted_at":"2026-02-12T00:55:31Z","abstract_excerpt":"Understanding how anatomical shapes evolve in response to developmental covariates - and quantifying their spatially varying uncertainties - is critical in healthcare research. Existing approaches typically rely on global time-warping formulations that ignore spatially heterogeneous dynamics. We introduce PRISM, a novel framework that bridges implicit neural representations with uncertainty-aware statistical shape analysis. PRISM models the conditional distribution of shapes given covariates, providing spatially continuous estimates of both the population mean and covariate-dependent uncertain"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.11467","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/2602.11467/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":"2602.11467","created_at":"2026-06-19T16:10:54.767281+00:00"},{"alias_kind":"arxiv_version","alias_value":"2602.11467v2","created_at":"2026-06-19T16:10:54.767281+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.11467","created_at":"2026-06-19T16:10:54.767281+00:00"},{"alias_kind":"pith_short_12","alias_value":"5I6U52Q6ZLAT","created_at":"2026-06-19T16:10:54.767281+00:00"},{"alias_kind":"pith_short_16","alias_value":"5I6U52Q6ZLATM7AL","created_at":"2026-06-19T16:10:54.767281+00:00"},{"alias_kind":"pith_short_8","alias_value":"5I6U52Q6","created_at":"2026-06-19T16:10:54.767281+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/5I6U52Q6ZLATM7ALXVQAOA7KDY","json":"https://pith.science/pith/5I6U52Q6ZLATM7ALXVQAOA7KDY.json","graph_json":"https://pith.science/api/pith-number/5I6U52Q6ZLATM7ALXVQAOA7KDY/graph.json","events_json":"https://pith.science/api/pith-number/5I6U52Q6ZLATM7ALXVQAOA7KDY/events.json","paper":"https://pith.science/paper/5I6U52Q6"},"agent_actions":{"view_html":"https://pith.science/pith/5I6U52Q6ZLATM7ALXVQAOA7KDY","download_json":"https://pith.science/pith/5I6U52Q6ZLATM7ALXVQAOA7KDY.json","view_paper":"https://pith.science/paper/5I6U52Q6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2602.11467&json=true","fetch_graph":"https://pith.science/api/pith-number/5I6U52Q6ZLATM7ALXVQAOA7KDY/graph.json","fetch_events":"https://pith.science/api/pith-number/5I6U52Q6ZLATM7ALXVQAOA7KDY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5I6U52Q6ZLATM7ALXVQAOA7KDY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5I6U52Q6ZLATM7ALXVQAOA7KDY/action/storage_attestation","attest_author":"https://pith.science/pith/5I6U52Q6ZLATM7ALXVQAOA7KDY/action/author_attestation","sign_citation":"https://pith.science/pith/5I6U52Q6ZLATM7ALXVQAOA7KDY/action/citation_signature","submit_replication":"https://pith.science/pith/5I6U52Q6ZLATM7ALXVQAOA7KDY/action/replication_record"}},"created_at":"2026-06-19T16:10:54.767281+00:00","updated_at":"2026-06-19T16:10:54.767281+00:00"}