{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3HA7R6MDSLTGI75ER635QKDD4Z","short_pith_number":"pith:3HA7R6MD","canonical_record":{"source":{"id":"2401.16363","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-29T18:02:22Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"788f5035822e861bcab830674d62e58db02739492aade1ccb20d993abee3972d","abstract_canon_sha256":"28aad1cbff7977ec6c6ab719a61f9e9cbd9c46ab5dcca0ac41ca40b7365a6309"},"schema_version":"1.0"},"canonical_sha256":"d9c1f8f98392e6647fa48fb7d82863e67e13f97075dbff121cc2c4d1cb4ef13d","source":{"kind":"arxiv","id":"2401.16363","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.16363","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"arxiv_version","alias_value":"2401.16363v1","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.16363","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"pith_short_12","alias_value":"3HA7R6MDSLTG","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"pith_short_16","alias_value":"3HA7R6MDSLTGI75E","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"pith_short_8","alias_value":"3HA7R6MD","created_at":"2026-07-05T07:38:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3HA7R6MDSLTGI75ER635QKDD4Z","target":"record","payload":{"canonical_record":{"source":{"id":"2401.16363","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-29T18:02:22Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"788f5035822e861bcab830674d62e58db02739492aade1ccb20d993abee3972d","abstract_canon_sha256":"28aad1cbff7977ec6c6ab719a61f9e9cbd9c46ab5dcca0ac41ca40b7365a6309"},"schema_version":"1.0"},"canonical_sha256":"d9c1f8f98392e6647fa48fb7d82863e67e13f97075dbff121cc2c4d1cb4ef13d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:38:48.011781Z","signature_b64":"oSkfwrR5KEuF7fFZZcPe/gXdD2L8Q7JdpFXXdfedkC357ZtMrIDUPd9lwV2EScHa2j8S58esaYMRh7QMLf0ICQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9c1f8f98392e6647fa48fb7d82863e67e13f97075dbff121cc2c4d1cb4ef13d","last_reissued_at":"2026-07-05T07:38:48.011290Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:38:48.011290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.16363","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:38:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8zgcDphc9QNS24iOWohvIDvB3mP8l/Euex1+Gz5H0lWNTdIuEWAykBFQ1N0KPOPlAsJitnuFYzm/XTbaHSdbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:17:15.011175Z"},"content_sha256":"d724152c840432e3c16ec4f64c8a577d8767a077329939914f5cb477d9e4e3c6","schema_version":"1.0","event_id":"sha256:d724152c840432e3c16ec4f64c8a577d8767a077329939914f5cb477d9e4e3c6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3HA7R6MDSLTGI75ER635QKDD4Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Camille Brianceau, Ma\\\"elys Solal, Ninon Burgos, Olivier Colliot, Ravi Hassanaly","submitted_at":"2024-01-29T18:02:22Z","abstract_excerpt":"Over the past years, pseudo-healthy reconstruction for unsupervised anomaly detection has gained in popularity. This approach has the great advantage of not requiring tedious pixel-wise data annotation and offers possibility to generalize to any kind of anomalies, including that corresponding to rare diseases. By training a deep generative model with only images from healthy subjects, the model will learn to reconstruct pseudo-healthy images. This pseudo-healthy reconstruction is then compared to the input to detect and localize anomalies. The evaluation of such methods often relies on a groun"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.16363","kind":"arxiv","version":1},"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/2401.16363/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":"2026-07-05T07:38:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZvXUg5AU4emAIJc0ZTukTdKGztIbU7XjGZRYoczRXK9d8aGs+h1ZaB1ZEH9TEZmyns3xmfocuGWBbG2F7K7SBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:17:15.012161Z"},"content_sha256":"f11ea89da516cc1be8fe6cd6069fa0c0688593d8cad3c26c38b05038b001174e","schema_version":"1.0","event_id":"sha256:f11ea89da516cc1be8fe6cd6069fa0c0688593d8cad3c26c38b05038b001174e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3HA7R6MDSLTGI75ER635QKDD4Z/bundle.json","state_url":"https://pith.science/pith/3HA7R6MDSLTGI75ER635QKDD4Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3HA7R6MDSLTGI75ER635QKDD4Z/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":"2026-08-09T20:17:15Z","links":{"resolver":"https://pith.science/pith/3HA7R6MDSLTGI75ER635QKDD4Z","bundle":"https://pith.science/pith/3HA7R6MDSLTGI75ER635QKDD4Z/bundle.json","state":"https://pith.science/pith/3HA7R6MDSLTGI75ER635QKDD4Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3HA7R6MDSLTGI75ER635QKDD4Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3HA7R6MDSLTGI75ER635QKDD4Z","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":"28aad1cbff7977ec6c6ab719a61f9e9cbd9c46ab5dcca0ac41ca40b7365a6309","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-29T18:02:22Z","title_canon_sha256":"788f5035822e861bcab830674d62e58db02739492aade1ccb20d993abee3972d"},"schema_version":"1.0","source":{"id":"2401.16363","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.16363","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"arxiv_version","alias_value":"2401.16363v1","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.16363","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"pith_short_12","alias_value":"3HA7R6MDSLTG","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"pith_short_16","alias_value":"3HA7R6MDSLTGI75E","created_at":"2026-07-05T07:38:48Z"},{"alias_kind":"pith_short_8","alias_value":"3HA7R6MD","created_at":"2026-07-05T07:38:48Z"}],"graph_snapshots":[{"event_id":"sha256:f11ea89da516cc1be8fe6cd6069fa0c0688593d8cad3c26c38b05038b001174e","target":"graph","created_at":"2026-07-05T07:38:48Z","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/2401.16363/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Over the past years, pseudo-healthy reconstruction for unsupervised anomaly detection has gained in popularity. This approach has the great advantage of not requiring tedious pixel-wise data annotation and offers possibility to generalize to any kind of anomalies, including that corresponding to rare diseases. By training a deep generative model with only images from healthy subjects, the model will learn to reconstruct pseudo-healthy images. This pseudo-healthy reconstruction is then compared to the input to detect and localize anomalies. The evaluation of such methods often relies on a groun","authors_text":"Camille Brianceau, Ma\\\"elys Solal, Ninon Burgos, Olivier Colliot, Ravi Hassanaly","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-29T18:02:22Z","title":"Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.16363","kind":"arxiv","version":1},"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:d724152c840432e3c16ec4f64c8a577d8767a077329939914f5cb477d9e4e3c6","target":"record","created_at":"2026-07-05T07:38:48Z","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":"28aad1cbff7977ec6c6ab719a61f9e9cbd9c46ab5dcca0ac41ca40b7365a6309","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-01-29T18:02:22Z","title_canon_sha256":"788f5035822e861bcab830674d62e58db02739492aade1ccb20d993abee3972d"},"schema_version":"1.0","source":{"id":"2401.16363","kind":"arxiv","version":1}},"canonical_sha256":"d9c1f8f98392e6647fa48fb7d82863e67e13f97075dbff121cc2c4d1cb4ef13d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9c1f8f98392e6647fa48fb7d82863e67e13f97075dbff121cc2c4d1cb4ef13d","first_computed_at":"2026-07-05T07:38:48.011290Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:38:48.011290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oSkfwrR5KEuF7fFZZcPe/gXdD2L8Q7JdpFXXdfedkC357ZtMrIDUPd9lwV2EScHa2j8S58esaYMRh7QMLf0ICQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:38:48.011781Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.16363","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d724152c840432e3c16ec4f64c8a577d8767a077329939914f5cb477d9e4e3c6","sha256:f11ea89da516cc1be8fe6cd6069fa0c0688593d8cad3c26c38b05038b001174e"],"state_sha256":"e61278702e8b9cfccf7362c0578f4be26183edd91a5dcbbc742a84f07e8859d3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"74Sk4NxweRxAwypZtNPq9yAhpmlSQ9h0MzgGNrx7wsGecAM/XB5V0YQgI3IMjfYbBYXhtXhJO90gIAPnqHQdAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T20:17:15.041461Z","bundle_sha256":"22ca2db5b9d918de43943601e91171b2b19db68085c5b7c1037ffcf1f4e7f3c6"}}