{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LYCGW3K2XYV5BB6XVTUGYU6UBC","short_pith_number":"pith:LYCGW3K2","canonical_record":{"source":{"id":"2502.19194","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-26T14:59:46Z","cross_cats_sorted":["eess.IV","eess.SP"],"title_canon_sha256":"cab9e38cb6c6513b2eb57148e7e231326c546efc50cd366466ea9e6f8fa9dc5f","abstract_canon_sha256":"c259f57ebd327323789f8f096e142fb35e03875936e51354e9051a669e8fe7ef"},"schema_version":"1.0"},"canonical_sha256":"5e046b6d5abe2bd087d7ace86c53d408b31ca73ff1c2f4c1fa7182c589d191ca","source":{"kind":"arxiv","id":"2502.19194","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.19194","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"2502.19194v1","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19194","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"LYCGW3K2XYV5","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"pith_short_16","alias_value":"LYCGW3K2XYV5BB6X","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"pith_short_8","alias_value":"LYCGW3K2","created_at":"2026-07-05T10:20:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LYCGW3K2XYV5BB6XVTUGYU6UBC","target":"record","payload":{"canonical_record":{"source":{"id":"2502.19194","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-26T14:59:46Z","cross_cats_sorted":["eess.IV","eess.SP"],"title_canon_sha256":"cab9e38cb6c6513b2eb57148e7e231326c546efc50cd366466ea9e6f8fa9dc5f","abstract_canon_sha256":"c259f57ebd327323789f8f096e142fb35e03875936e51354e9051a669e8fe7ef"},"schema_version":"1.0"},"canonical_sha256":"5e046b6d5abe2bd087d7ace86c53d408b31ca73ff1c2f4c1fa7182c589d191ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:20:28.356404Z","signature_b64":"1KOQbd0URhd5CAGQiLGF9pxoF9B6OO/QVodH8kzSa0n4sdQIlYHKOQWWSlF+z6IL2tE3bHXNtSrOpe9rS9mfCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e046b6d5abe2bd087d7ace86c53d408b31ca73ff1c2f4c1fa7182c589d191ca","last_reissued_at":"2026-07-05T10:20:28.355878Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:20:28.355878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.19194","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":"2026-07-05T10:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NiI46mhPwMrOEMEeT/yZVm/97Zxj1Nst/55pxryQAIMHb+CB8PTHHLe6h5C78J/YV0whEee5cHmV1vXg1LjYBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:00:14.931052Z"},"content_sha256":"4e6b6061fc2e5c5bc52b51274896321d1254aaa51b5f02e02c14923b7f50a4b3","schema_version":"1.0","event_id":"sha256:4e6b6061fc2e5c5bc52b51274896321d1254aaa51b5f02e02c14923b7f50a4b3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LYCGW3K2XYV5BB6XVTUGYU6UBC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV","eess.SP"],"primary_cat":"cs.CV","authors_text":"Barbara Pascal, Bernardin Tamo Amougou, Marcelo Pereyra","submitted_at":"2025-02-26T14:59:46Z","abstract_excerpt":"Image restoration problems are often ill-posed, leading to significant uncertainty in reconstructed images. Accurately quantifying this uncertainty is essential for the reliable interpretation of reconstructed images. However, image restoration methods often lack uncertainty quantification capabilities. Conformal prediction offers a rigorous framework to augment image restoration methods with accurate uncertainty quantification estimates, but it typically requires abundant ground truth data for calibration. This paper presents a self-supervised conformal prediction method for Poisson imaging p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19194","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/2502.19194/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":"2026-07-05T10:20:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J019heQpv00Rs4Nt11nUi9l64xCOrGdPMOtBpLMxew7QRqgz2ZgJ1OH1sljYZ8xeRlQS8gKTg2MRMEwn0dP3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:00:14.931592Z"},"content_sha256":"8ed479868564decabb1a247520c618ac5531a2636fcf350de2fc861c16a870f4","schema_version":"1.0","event_id":"sha256:8ed479868564decabb1a247520c618ac5531a2636fcf350de2fc861c16a870f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LYCGW3K2XYV5BB6XVTUGYU6UBC/bundle.json","state_url":"https://pith.science/pith/LYCGW3K2XYV5BB6XVTUGYU6UBC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LYCGW3K2XYV5BB6XVTUGYU6UBC/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":"2026-08-08T21:00:14Z","links":{"resolver":"https://pith.science/pith/LYCGW3K2XYV5BB6XVTUGYU6UBC","bundle":"https://pith.science/pith/LYCGW3K2XYV5BB6XVTUGYU6UBC/bundle.json","state":"https://pith.science/pith/LYCGW3K2XYV5BB6XVTUGYU6UBC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LYCGW3K2XYV5BB6XVTUGYU6UBC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LYCGW3K2XYV5BB6XVTUGYU6UBC","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":"c259f57ebd327323789f8f096e142fb35e03875936e51354e9051a669e8fe7ef","cross_cats_sorted":["eess.IV","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-26T14:59:46Z","title_canon_sha256":"cab9e38cb6c6513b2eb57148e7e231326c546efc50cd366466ea9e6f8fa9dc5f"},"schema_version":"1.0","source":{"id":"2502.19194","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.19194","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"arxiv_version","alias_value":"2502.19194v1","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19194","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"pith_short_12","alias_value":"LYCGW3K2XYV5","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"pith_short_16","alias_value":"LYCGW3K2XYV5BB6X","created_at":"2026-07-05T10:20:28Z"},{"alias_kind":"pith_short_8","alias_value":"LYCGW3K2","created_at":"2026-07-05T10:20:28Z"}],"graph_snapshots":[{"event_id":"sha256:8ed479868564decabb1a247520c618ac5531a2636fcf350de2fc861c16a870f4","target":"graph","created_at":"2026-07-05T10:20:28Z","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/2502.19194/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image restoration problems are often ill-posed, leading to significant uncertainty in reconstructed images. Accurately quantifying this uncertainty is essential for the reliable interpretation of reconstructed images. However, image restoration methods often lack uncertainty quantification capabilities. Conformal prediction offers a rigorous framework to augment image restoration methods with accurate uncertainty quantification estimates, but it typically requires abundant ground truth data for calibration. This paper presents a self-supervised conformal prediction method for Poisson imaging p","authors_text":"Barbara Pascal, Bernardin Tamo Amougou, Marcelo Pereyra","cross_cats":["eess.IV","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-26T14:59:46Z","title":"Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19194","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":"sha256:4e6b6061fc2e5c5bc52b51274896321d1254aaa51b5f02e02c14923b7f50a4b3","target":"record","created_at":"2026-07-05T10:20:28Z","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":"c259f57ebd327323789f8f096e142fb35e03875936e51354e9051a669e8fe7ef","cross_cats_sorted":["eess.IV","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-26T14:59:46Z","title_canon_sha256":"cab9e38cb6c6513b2eb57148e7e231326c546efc50cd366466ea9e6f8fa9dc5f"},"schema_version":"1.0","source":{"id":"2502.19194","kind":"arxiv","version":1}},"canonical_sha256":"5e046b6d5abe2bd087d7ace86c53d408b31ca73ff1c2f4c1fa7182c589d191ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e046b6d5abe2bd087d7ace86c53d408b31ca73ff1c2f4c1fa7182c589d191ca","first_computed_at":"2026-07-05T10:20:28.355878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:20:28.355878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1KOQbd0URhd5CAGQiLGF9pxoF9B6OO/QVodH8kzSa0n4sdQIlYHKOQWWSlF+z6IL2tE3bHXNtSrOpe9rS9mfCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:20:28.356404Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.19194","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e6b6061fc2e5c5bc52b51274896321d1254aaa51b5f02e02c14923b7f50a4b3","sha256:8ed479868564decabb1a247520c618ac5531a2636fcf350de2fc861c16a870f4"],"state_sha256":"b6c1d21d41c2c26205ca5988173dd1071056ef03c8eff2161fb7be0212dab10d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hAxR/7/dbqH4oPzkhcvAmJVY8FfIMIKqEoM1fDvVwirhJQQaiTG9JQyf3M1+9bBIjjusC1qG2yIkKGNCO4hfBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T21:00:14.935970Z","bundle_sha256":"cfc8c8ca3760270238aa2710ed546150ab542c9463814bdd7767380f035b8204"}}