{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YKWDOWVBDIVNXJJUG5PDBRTCAM","short_pith_number":"pith:YKWDOWVB","canonical_record":{"source":{"id":"2412.14897","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T14:28:00Z","cross_cats_sorted":[],"title_canon_sha256":"52b04a9ea141e2e253b534742c16d66c542ce770440c32843b5d620f4cd924e2","abstract_canon_sha256":"4c50e02019ff44de5d256fe4fcf081d6bb176a17466e45ba8ace83877cfbb111"},"schema_version":"1.0"},"canonical_sha256":"c2ac375aa11a2adba534375e30c66203027630a8803a04123bdfcdca09a6b242","source":{"kind":"arxiv","id":"2412.14897","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14897","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14897v1","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14897","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"pith_short_12","alias_value":"YKWDOWVBDIVN","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"pith_short_16","alias_value":"YKWDOWVBDIVNXJJU","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"pith_short_8","alias_value":"YKWDOWVB","created_at":"2026-07-05T09:51:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YKWDOWVBDIVNXJJUG5PDBRTCAM","target":"record","payload":{"canonical_record":{"source":{"id":"2412.14897","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T14:28:00Z","cross_cats_sorted":[],"title_canon_sha256":"52b04a9ea141e2e253b534742c16d66c542ce770440c32843b5d620f4cd924e2","abstract_canon_sha256":"4c50e02019ff44de5d256fe4fcf081d6bb176a17466e45ba8ace83877cfbb111"},"schema_version":"1.0"},"canonical_sha256":"c2ac375aa11a2adba534375e30c66203027630a8803a04123bdfcdca09a6b242","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:54.070261Z","signature_b64":"nuY7ni863JmJpavSIVy8ZbBH5olJjENUr7SKPT3fRKpD0lc9yZTJNOyPTU1hj9/d7aulQt1GEj0EO5Rnm4BBAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2ac375aa11a2adba534375e30c66203027630a8803a04123bdfcdca09a6b242","last_reissued_at":"2026-07-05T09:51:54.069911Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:54.069911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.14897","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":"2026-07-05T09:51:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l2G4Lb+VBDEVAw8x73vxSGjKhTGEQMSTGlP9K4VZy6uD5Lnw1qe+RySRT6BmK+d2jTV5aTRoCArtR1qnDe8iDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T20:14:01.144498Z"},"content_sha256":"2e116f19db4ce2a0384994c711e3bd70d66ac8763d536fbbfde5678acffbb2cf","schema_version":"1.0","event_id":"sha256:2e116f19db4ce2a0384994c711e3bd70d66ac8763d536fbbfde5678acffbb2cf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YKWDOWVBDIVNXJJUG5PDBRTCAM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Diffusion priors for Bayesian 3D reconstruction from incomplete measurements","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Julian L. M\\\"obius, Michael Habeck","submitted_at":"2024-12-19T14:28:00Z","abstract_excerpt":"Many inverse problems are ill-posed and need to be complemented by prior information that restricts the class of admissible models. Bayesian approaches encode this information as prior distributions that impose generic properties on the model such as sparsity, non-negativity or smoothness. However, in case of complex structured models such as images, graphs or three-dimensional (3D) objects,generic prior distributions tend to favor models that differ largely from those observed in the real world. Here we explore the use of diffusion models as priors that are combined with experimental data wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14897","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/2412.14897/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":"2026-07-05T09:51:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QNPTrYxqMk7O9IxCxynI71TYMYGy0xy1C8cdXHJvAdfMuZQKSboa3SOw8C25hcYz8IBzmgVBn4dCdCxBHfhVAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T20:14:01.145446Z"},"content_sha256":"d82d157ae9542dc1cf7b7e3175f35185e6c7b88b5fed756968edeb284ff92e3b","schema_version":"1.0","event_id":"sha256:d82d157ae9542dc1cf7b7e3175f35185e6c7b88b5fed756968edeb284ff92e3b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YKWDOWVBDIVNXJJUG5PDBRTCAM/bundle.json","state_url":"https://pith.science/pith/YKWDOWVBDIVNXJJUG5PDBRTCAM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YKWDOWVBDIVNXJJUG5PDBRTCAM/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":"2026-08-12T20:14:01Z","links":{"resolver":"https://pith.science/pith/YKWDOWVBDIVNXJJUG5PDBRTCAM","bundle":"https://pith.science/pith/YKWDOWVBDIVNXJJUG5PDBRTCAM/bundle.json","state":"https://pith.science/pith/YKWDOWVBDIVNXJJUG5PDBRTCAM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YKWDOWVBDIVNXJJUG5PDBRTCAM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YKWDOWVBDIVNXJJUG5PDBRTCAM","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":"4c50e02019ff44de5d256fe4fcf081d6bb176a17466e45ba8ace83877cfbb111","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T14:28:00Z","title_canon_sha256":"52b04a9ea141e2e253b534742c16d66c542ce770440c32843b5d620f4cd924e2"},"schema_version":"1.0","source":{"id":"2412.14897","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14897","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14897v1","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14897","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"pith_short_12","alias_value":"YKWDOWVBDIVN","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"pith_short_16","alias_value":"YKWDOWVBDIVNXJJU","created_at":"2026-07-05T09:51:54Z"},{"alias_kind":"pith_short_8","alias_value":"YKWDOWVB","created_at":"2026-07-05T09:51:54Z"}],"graph_snapshots":[{"event_id":"sha256:d82d157ae9542dc1cf7b7e3175f35185e6c7b88b5fed756968edeb284ff92e3b","target":"graph","created_at":"2026-07-05T09:51:54Z","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/2412.14897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many inverse problems are ill-posed and need to be complemented by prior information that restricts the class of admissible models. Bayesian approaches encode this information as prior distributions that impose generic properties on the model such as sparsity, non-negativity or smoothness. However, in case of complex structured models such as images, graphs or three-dimensional (3D) objects,generic prior distributions tend to favor models that differ largely from those observed in the real world. Here we explore the use of diffusion models as priors that are combined with experimental data wit","authors_text":"Julian L. M\\\"obius, Michael Habeck","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T14:28:00Z","title":"Diffusion priors for Bayesian 3D reconstruction from incomplete measurements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14897","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":"sha256:2e116f19db4ce2a0384994c711e3bd70d66ac8763d536fbbfde5678acffbb2cf","target":"record","created_at":"2026-07-05T09:51:54Z","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":"4c50e02019ff44de5d256fe4fcf081d6bb176a17466e45ba8ace83877cfbb111","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T14:28:00Z","title_canon_sha256":"52b04a9ea141e2e253b534742c16d66c542ce770440c32843b5d620f4cd924e2"},"schema_version":"1.0","source":{"id":"2412.14897","kind":"arxiv","version":1}},"canonical_sha256":"c2ac375aa11a2adba534375e30c66203027630a8803a04123bdfcdca09a6b242","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2ac375aa11a2adba534375e30c66203027630a8803a04123bdfcdca09a6b242","first_computed_at":"2026-07-05T09:51:54.069911Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:54.069911Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nuY7ni863JmJpavSIVy8ZbBH5olJjENUr7SKPT3fRKpD0lc9yZTJNOyPTU1hj9/d7aulQt1GEj0EO5Rnm4BBAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:54.070261Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14897","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e116f19db4ce2a0384994c711e3bd70d66ac8763d536fbbfde5678acffbb2cf","sha256:d82d157ae9542dc1cf7b7e3175f35185e6c7b88b5fed756968edeb284ff92e3b"],"state_sha256":"47bb8df9f803d93dc5ccf2fd42f422515f381cfc77263bc220debfbf908b8334"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/RrMgVgsxVP2IJQBvYaA8xUGlBAhiwzbxP28kLzqbTQYqduo+nin6f3/iDDZXhapld+rPTjtbofvmOBHu7I1DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T20:14:01.194511Z","bundle_sha256":"e9a00f68fbd78d61dfeb791efe69bacb608a298797ffcb7580ce107a6aee796d"}}