{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:5M6FXWU24524JIEH62SAIHDL75","short_pith_number":"pith:5M6FXWU2","schema_version":"1.0","canonical_sha256":"eb3c5bda9ae775c4a087f6a4041c6bff7a807e63ff334722ce3f9a3de707229f","source":{"kind":"arxiv","id":"2302.06842","version":3},"attestation_state":"computed","paper":{"title":"Random boundaries: quantifying segmentation uncertainty in solutions to boundary-value problems","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.TO","authors_text":"Adam Wittek, Ben Zwick, Farah Alkhatib, George Bourantas, Karol Miller, S. Gerry Gralton","submitted_at":"2023-02-14T05:33:06Z","abstract_excerpt":"Engineering simulations using boundary-value partial differential equations often implicitly assume that the uncertainty in the location of the boundary has a negligible impact on the output of the simulation. In this work, we develop a novel method for describing the geometric uncertainty in image-derived models and use a naive method for subsequently quantifying a simulation's sensitivity to that uncertainty. A Gaussian random field is constructed to represent the space of possible geometries, based on image-derived quantities such as pixel size, which can then be used to probe the simulatio"},"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":"2302.06842","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"q-bio.TO","submitted_at":"2023-02-14T05:33:06Z","cross_cats_sorted":[],"title_canon_sha256":"3bec5acc199728742da8557a1cdbfefe7edfa119ac57bb3c6e343e6329c500f1","abstract_canon_sha256":"7293ab35f808b3fab695a7baf143b77f5ef8299a1110cd19c4d4a841118b46ae"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:29:13.927103Z","signature_b64":"qXgJ8YWVAdD8d5AJJ8K243eOpXnvMIa45P9k3ofPY8SuDMG7ZRnTX6cOEc3FNP7DKaEBMRumehCuNOuPxgpOAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb3c5bda9ae775c4a087f6a4041c6bff7a807e63ff334722ce3f9a3de707229f","last_reissued_at":"2026-07-05T08:29:13.926615Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:29:13.926615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Random boundaries: quantifying segmentation uncertainty in solutions to boundary-value problems","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.TO","authors_text":"Adam Wittek, Ben Zwick, Farah Alkhatib, George Bourantas, Karol Miller, S. Gerry Gralton","submitted_at":"2023-02-14T05:33:06Z","abstract_excerpt":"Engineering simulations using boundary-value partial differential equations often implicitly assume that the uncertainty in the location of the boundary has a negligible impact on the output of the simulation. In this work, we develop a novel method for describing the geometric uncertainty in image-derived models and use a naive method for subsequently quantifying a simulation's sensitivity to that uncertainty. A Gaussian random field is constructed to represent the space of possible geometries, based on image-derived quantities such as pixel size, which can then be used to probe the simulatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.06842","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/2302.06842/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":"2302.06842","created_at":"2026-07-05T08:29:13.926678+00:00"},{"alias_kind":"arxiv_version","alias_value":"2302.06842v3","created_at":"2026-07-05T08:29:13.926678+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.06842","created_at":"2026-07-05T08:29:13.926678+00:00"},{"alias_kind":"pith_short_12","alias_value":"5M6FXWU24524","created_at":"2026-07-05T08:29:13.926678+00:00"},{"alias_kind":"pith_short_16","alias_value":"5M6FXWU24524JIEH","created_at":"2026-07-05T08:29:13.926678+00:00"},{"alias_kind":"pith_short_8","alias_value":"5M6FXWU2","created_at":"2026-07-05T08:29:13.926678+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/5M6FXWU24524JIEH62SAIHDL75","json":"https://pith.science/pith/5M6FXWU24524JIEH62SAIHDL75.json","graph_json":"https://pith.science/api/pith-number/5M6FXWU24524JIEH62SAIHDL75/graph.json","events_json":"https://pith.science/api/pith-number/5M6FXWU24524JIEH62SAIHDL75/events.json","paper":"https://pith.science/paper/5M6FXWU2"},"agent_actions":{"view_html":"https://pith.science/pith/5M6FXWU24524JIEH62SAIHDL75","download_json":"https://pith.science/pith/5M6FXWU24524JIEH62SAIHDL75.json","view_paper":"https://pith.science/paper/5M6FXWU2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2302.06842&json=true","fetch_graph":"https://pith.science/api/pith-number/5M6FXWU24524JIEH62SAIHDL75/graph.json","fetch_events":"https://pith.science/api/pith-number/5M6FXWU24524JIEH62SAIHDL75/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5M6FXWU24524JIEH62SAIHDL75/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5M6FXWU24524JIEH62SAIHDL75/action/storage_attestation","attest_author":"https://pith.science/pith/5M6FXWU24524JIEH62SAIHDL75/action/author_attestation","sign_citation":"https://pith.science/pith/5M6FXWU24524JIEH62SAIHDL75/action/citation_signature","submit_replication":"https://pith.science/pith/5M6FXWU24524JIEH62SAIHDL75/action/replication_record"}},"created_at":"2026-07-05T08:29:13.926678+00:00","updated_at":"2026-07-05T08:29:13.926678+00:00"}