{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:I6QNDQJAY4ZW6BOLGP3YRWDYNX","short_pith_number":"pith:I6QNDQJA","canonical_record":{"source":{"id":"2211.04825","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-11-09T11:53:29Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"706f21989711ecdc417473c8b3b91008a2f6be54178033773524e8169efa3172","abstract_canon_sha256":"5414b36b698c948587f402777e5ed48320bcdc42f4179948218cdd351f0afe5b"},"schema_version":"1.0"},"canonical_sha256":"47a0d1c120c7336f05cb33f788d8786dd7e66c70c288c3e91ce9fb501151ae79","source":{"kind":"arxiv","id":"2211.04825","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.04825","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"arxiv_version","alias_value":"2211.04825v2","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.04825","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"pith_short_12","alias_value":"I6QNDQJAY4ZW","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"pith_short_16","alias_value":"I6QNDQJAY4ZW6BOL","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"pith_short_8","alias_value":"I6QNDQJA","created_at":"2026-07-05T07:12:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:I6QNDQJAY4ZW6BOLGP3YRWDYNX","target":"record","payload":{"canonical_record":{"source":{"id":"2211.04825","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-11-09T11:53:29Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"706f21989711ecdc417473c8b3b91008a2f6be54178033773524e8169efa3172","abstract_canon_sha256":"5414b36b698c948587f402777e5ed48320bcdc42f4179948218cdd351f0afe5b"},"schema_version":"1.0"},"canonical_sha256":"47a0d1c120c7336f05cb33f788d8786dd7e66c70c288c3e91ce9fb501151ae79","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:12:47.212144Z","signature_b64":"tqvqRiMGzeSMXcDGKF9iSjBjBT+jVe8S25Z2c8Kc6QA3PXH5mv/WJhPPlUSkzaaHmKQRtUp4r1blcqVPS/qHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47a0d1c120c7336f05cb33f788d8786dd7e66c70c288c3e91ce9fb501151ae79","last_reissued_at":"2026-07-05T07:12:47.211736Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:12:47.211736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.04825","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":"2026-07-05T07:12:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V293415EMLn/An1VDUcrLLJ6QObVPuCo1BSxrTZkKOAQ/cNl2EJrfiM2wTM9U0TGlYA0rKGa2VSTvFOu6DxpDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T05:09:40.006537Z"},"content_sha256":"5a3f5c12b13afeba84d2748198bee0a073fedf1827fab569caf7c2556e3d49d8","schema_version":"1.0","event_id":"sha256:5a3f5c12b13afeba84d2748198bee0a073fedf1827fab569caf7c2556e3d49d8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:I6QNDQJAY4ZW6BOLGP3YRWDYNX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Andrey Malinin, Cristina Granziera, Francesco La Rosa, Henning Muller, Mara Graziani, Mark Gales, Meritxell Bach Cuadra, Nataliia Molchanova, Vatsal Raina","submitted_at":"2022-11-09T11:53:29Z","abstract_excerpt":"This paper focuses on the uncertainty estimation for white matter lesions (WML) segmentation in magnetic resonance imaging (MRI). On one side, voxel-scale segmentation errors cause the erroneous delineation of the lesions; on the other side, lesion-scale detection errors lead to wrong lesion counts. Both of these factors are clinically relevant for the assessment of multiple sclerosis patients. This work aims to compare the ability of different voxel- and lesion-scale uncertainty measures to capture errors related to segmentation and lesion detection, respectively. Our main contributions are ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.04825","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/2211.04825/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":"2026-07-05T07:12:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WS9Hcvi+XVjVLiJt2diCt2IZLNWyrIh9x0JVYXVjDkVzVsogjQC71dSOJ68+uqjnQ7V62KYRQEsDJvLfKWy7Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T05:09:40.006926Z"},"content_sha256":"a505eef6af45aa5ea22690fdd598a6b344d9684bf4845b8fe37b8e2ec86aa04a","schema_version":"1.0","event_id":"sha256:a505eef6af45aa5ea22690fdd598a6b344d9684bf4845b8fe37b8e2ec86aa04a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I6QNDQJAY4ZW6BOLGP3YRWDYNX/bundle.json","state_url":"https://pith.science/pith/I6QNDQJAY4ZW6BOLGP3YRWDYNX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I6QNDQJAY4ZW6BOLGP3YRWDYNX/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":"2026-07-12T05:09:40Z","links":{"resolver":"https://pith.science/pith/I6QNDQJAY4ZW6BOLGP3YRWDYNX","bundle":"https://pith.science/pith/I6QNDQJAY4ZW6BOLGP3YRWDYNX/bundle.json","state":"https://pith.science/pith/I6QNDQJAY4ZW6BOLGP3YRWDYNX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I6QNDQJAY4ZW6BOLGP3YRWDYNX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:I6QNDQJAY4ZW6BOLGP3YRWDYNX","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":"5414b36b698c948587f402777e5ed48320bcdc42f4179948218cdd351f0afe5b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-11-09T11:53:29Z","title_canon_sha256":"706f21989711ecdc417473c8b3b91008a2f6be54178033773524e8169efa3172"},"schema_version":"1.0","source":{"id":"2211.04825","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.04825","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"arxiv_version","alias_value":"2211.04825v2","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.04825","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"pith_short_12","alias_value":"I6QNDQJAY4ZW","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"pith_short_16","alias_value":"I6QNDQJAY4ZW6BOL","created_at":"2026-07-05T07:12:47Z"},{"alias_kind":"pith_short_8","alias_value":"I6QNDQJA","created_at":"2026-07-05T07:12:47Z"}],"graph_snapshots":[{"event_id":"sha256:a505eef6af45aa5ea22690fdd598a6b344d9684bf4845b8fe37b8e2ec86aa04a","target":"graph","created_at":"2026-07-05T07:12:47Z","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/2211.04825/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper focuses on the uncertainty estimation for white matter lesions (WML) segmentation in magnetic resonance imaging (MRI). On one side, voxel-scale segmentation errors cause the erroneous delineation of the lesions; on the other side, lesion-scale detection errors lead to wrong lesion counts. Both of these factors are clinically relevant for the assessment of multiple sclerosis patients. This work aims to compare the ability of different voxel- and lesion-scale uncertainty measures to capture errors related to segmentation and lesion detection, respectively. Our main contributions are (","authors_text":"Andrey Malinin, Cristina Granziera, Francesco La Rosa, Henning Muller, Mara Graziani, Mark Gales, Meritxell Bach Cuadra, Nataliia Molchanova, Vatsal Raina","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-11-09T11:53:29Z","title":"Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.04825","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":"sha256:5a3f5c12b13afeba84d2748198bee0a073fedf1827fab569caf7c2556e3d49d8","target":"record","created_at":"2026-07-05T07:12:47Z","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":"5414b36b698c948587f402777e5ed48320bcdc42f4179948218cdd351f0afe5b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-11-09T11:53:29Z","title_canon_sha256":"706f21989711ecdc417473c8b3b91008a2f6be54178033773524e8169efa3172"},"schema_version":"1.0","source":{"id":"2211.04825","kind":"arxiv","version":2}},"canonical_sha256":"47a0d1c120c7336f05cb33f788d8786dd7e66c70c288c3e91ce9fb501151ae79","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47a0d1c120c7336f05cb33f788d8786dd7e66c70c288c3e91ce9fb501151ae79","first_computed_at":"2026-07-05T07:12:47.211736Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:12:47.211736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tqvqRiMGzeSMXcDGKF9iSjBjBT+jVe8S25Z2c8Kc6QA3PXH5mv/WJhPPlUSkzaaHmKQRtUp4r1blcqVPS/qHDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:12:47.212144Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.04825","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a3f5c12b13afeba84d2748198bee0a073fedf1827fab569caf7c2556e3d49d8","sha256:a505eef6af45aa5ea22690fdd598a6b344d9684bf4845b8fe37b8e2ec86aa04a"],"state_sha256":"af27366c00ede54482f40b87fd094d1d2caeb3463b27ae2daeb2fbd2297ac6db"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RYuTwOHENuLClxXMWmCTSFH+YXkNYHm07huDmQPZ+26OO/S60TqatagZXTJzh8HFtVH/gOrnsI9CByzhBYn4Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T05:09:40.009059Z","bundle_sha256":"25131d98f02f7138e1b6b5a471de0c2f90df4984fe957644510807f4e9c123c8"}}