{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:BGEAIOTBJDRRIBAHCI4BLOLV5B","short_pith_number":"pith:BGEAIOTB","canonical_record":{"source":{"id":"2303.13123","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-23T09:23:57Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"26b3a67250825d1cfab92e2aa71f2d050073d37649c9edae7da35e7b7bdaee46","abstract_canon_sha256":"6bc4eeeb7ac750c8833657c8e409dd7c441389fdd3bdfd2b9bf8d940ce0ae3cc"},"schema_version":"1.0"},"canonical_sha256":"0988043a6148e3140407123815b975e8558f76fe0163d9f5269d0f38c16cab40","source":{"kind":"arxiv","id":"2303.13123","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.13123","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"arxiv_version","alias_value":"2303.13123v2","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.13123","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"pith_short_12","alias_value":"BGEAIOTBJDRR","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"pith_short_16","alias_value":"BGEAIOTBJDRRIBAH","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"pith_short_8","alias_value":"BGEAIOTB","created_at":"2026-07-05T08:47:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:BGEAIOTBJDRRIBAHCI4BLOLV5B","target":"record","payload":{"canonical_record":{"source":{"id":"2303.13123","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-23T09:23:57Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"26b3a67250825d1cfab92e2aa71f2d050073d37649c9edae7da35e7b7bdaee46","abstract_canon_sha256":"6bc4eeeb7ac750c8833657c8e409dd7c441389fdd3bdfd2b9bf8d940ce0ae3cc"},"schema_version":"1.0"},"canonical_sha256":"0988043a6148e3140407123815b975e8558f76fe0163d9f5269d0f38c16cab40","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:05.483828Z","signature_b64":"fWOmsTAc9qaeA6PsnFRFAobzs4k3c1WR5vSp1bOlHHoQQpOMc304qSWewckTzAYOSN80UtzNdm8X5Q0ERAXpDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0988043a6148e3140407123815b975e8558f76fe0163d9f5269d0f38c16cab40","last_reissued_at":"2026-07-05T08:47:05.483228Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:05.483228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.13123","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:47:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mi/UlQCrjoLhn46T1d2yQmPpflX9AlH3VbGVv6xHAG3XNS894GcNLysB1Ty2jCoY0acKDlwUJCN8g4AMKUzjCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:24:51.337295Z"},"content_sha256":"299ea8e84f85755d10617e97a04836b59aa077594ab869ac35051cb00ca1184e","schema_version":"1.0","event_id":"sha256:299ea8e84f85755d10617e97a04836b59aa077594ab869ac35051cb00ca1184e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:BGEAIOTBJDRRIBAHCI4BLOLV5B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Aasa Feragen, Frederik Warburg, Jes Frellsen, Juston Moore, Kilian Zepf, Marco Miani, Selma Wanna, S{\\o}ren Hauberg","submitted_at":"2023-03-23T09:23:57Z","abstract_excerpt":"Image segmentation relies heavily on neural networks which are known to be overconfident, especially when making predictions on out-of-distribution (OOD) images. This is a common scenario in the medical domain due to variations in equipment, acquisition sites, or image corruptions. This work addresses the challenge of OOD detection by proposing Laplacian Segmentation Networks (LSN): methods which jointly model epistemic (model) and aleatoric (data) uncertainty for OOD detection. In doing so, we propose the first Laplace approximation of the weight posterior that scales to large neural networks"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.13123","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/2303.13123/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":"2026-07-05T08:47:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mX1omJLDjpFq0oZOUokUfYo4ph/mqtA+pnTdvKa/oXgj/SwfXOLQnjVUE7365KKjy9i3dOnfndVbojVRHs+1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T23:24:51.337699Z"},"content_sha256":"656b4bea4b885e8d8843cc95b5ad20d5c48d5328bee3bb99e2dbbf961685125d","schema_version":"1.0","event_id":"sha256:656b4bea4b885e8d8843cc95b5ad20d5c48d5328bee3bb99e2dbbf961685125d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BGEAIOTBJDRRIBAHCI4BLOLV5B/bundle.json","state_url":"https://pith.science/pith/BGEAIOTBJDRRIBAHCI4BLOLV5B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BGEAIOTBJDRRIBAHCI4BLOLV5B/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":"2026-07-06T23:24:51Z","links":{"resolver":"https://pith.science/pith/BGEAIOTBJDRRIBAHCI4BLOLV5B","bundle":"https://pith.science/pith/BGEAIOTBJDRRIBAHCI4BLOLV5B/bundle.json","state":"https://pith.science/pith/BGEAIOTBJDRRIBAHCI4BLOLV5B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BGEAIOTBJDRRIBAHCI4BLOLV5B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BGEAIOTBJDRRIBAHCI4BLOLV5B","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":"6bc4eeeb7ac750c8833657c8e409dd7c441389fdd3bdfd2b9bf8d940ce0ae3cc","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-23T09:23:57Z","title_canon_sha256":"26b3a67250825d1cfab92e2aa71f2d050073d37649c9edae7da35e7b7bdaee46"},"schema_version":"1.0","source":{"id":"2303.13123","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.13123","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"arxiv_version","alias_value":"2303.13123v2","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.13123","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"pith_short_12","alias_value":"BGEAIOTBJDRR","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"pith_short_16","alias_value":"BGEAIOTBJDRRIBAH","created_at":"2026-07-05T08:47:05Z"},{"alias_kind":"pith_short_8","alias_value":"BGEAIOTB","created_at":"2026-07-05T08:47:05Z"}],"graph_snapshots":[{"event_id":"sha256:656b4bea4b885e8d8843cc95b5ad20d5c48d5328bee3bb99e2dbbf961685125d","target":"graph","created_at":"2026-07-05T08:47:05Z","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/2303.13123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image segmentation relies heavily on neural networks which are known to be overconfident, especially when making predictions on out-of-distribution (OOD) images. This is a common scenario in the medical domain due to variations in equipment, acquisition sites, or image corruptions. This work addresses the challenge of OOD detection by proposing Laplacian Segmentation Networks (LSN): methods which jointly model epistemic (model) and aleatoric (data) uncertainty for OOD detection. In doing so, we propose the first Laplace approximation of the weight posterior that scales to large neural networks","authors_text":"Aasa Feragen, Frederik Warburg, Jes Frellsen, Juston Moore, Kilian Zepf, Marco Miani, Selma Wanna, S{\\o}ren Hauberg","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-23T09:23:57Z","title":"Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.13123","kind":"arxiv","version":2},"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":"sha256:299ea8e84f85755d10617e97a04836b59aa077594ab869ac35051cb00ca1184e","target":"record","created_at":"2026-07-05T08:47:05Z","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":"6bc4eeeb7ac750c8833657c8e409dd7c441389fdd3bdfd2b9bf8d940ce0ae3cc","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-23T09:23:57Z","title_canon_sha256":"26b3a67250825d1cfab92e2aa71f2d050073d37649c9edae7da35e7b7bdaee46"},"schema_version":"1.0","source":{"id":"2303.13123","kind":"arxiv","version":2}},"canonical_sha256":"0988043a6148e3140407123815b975e8558f76fe0163d9f5269d0f38c16cab40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0988043a6148e3140407123815b975e8558f76fe0163d9f5269d0f38c16cab40","first_computed_at":"2026-07-05T08:47:05.483228Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:05.483228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fWOmsTAc9qaeA6PsnFRFAobzs4k3c1WR5vSp1bOlHHoQQpOMc304qSWewckTzAYOSN80UtzNdm8X5Q0ERAXpDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:05.483828Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.13123","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:299ea8e84f85755d10617e97a04836b59aa077594ab869ac35051cb00ca1184e","sha256:656b4bea4b885e8d8843cc95b5ad20d5c48d5328bee3bb99e2dbbf961685125d"],"state_sha256":"a3cc9c0cff12c881ee1806ae1cf2ad3bcb651dc7c46fb79819b3dbaea887087c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"38g+Y+9ouFt1B0WGjCeixuzfVoTovgNCm1/TeKJPJWlLAt/cXNgHUhEEu8Fe1fTTCy7GZt6sE0vkV9n1Zy7HCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T23:24:51.340009Z","bundle_sha256":"063f3653d51f6e2fc0421033aad021f4bf0ef701564c3cc02f4e2ba0db1dfb33"}}