{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:LO6Q7L4IDNI47S3T4EXNQKMMUR","short_pith_number":"pith:LO6Q7L4I","canonical_record":{"source":{"id":"2111.08005","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-11-15T05:41:12Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"b45d74bb92112bf18b3bab7cc31e4e60cbfdcf8939834ea144b11cd729f2468c","abstract_canon_sha256":"c96a5d956abdfacaf7d34f07c1e18b8b358f1c68bf183f97cfb68656d9654f1a"},"schema_version":"1.0"},"canonical_sha256":"5bbd0faf881b51cfcb73e12ed8298ca4411d95a487390a86c3fc37fd5ca2c9f2","source":{"kind":"arxiv","id":"2111.08005","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.08005","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"arxiv_version","alias_value":"2111.08005v2","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.08005","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"pith_short_12","alias_value":"LO6Q7L4IDNI4","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"pith_short_16","alias_value":"LO6Q7L4IDNI47S3T","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"pith_short_8","alias_value":"LO6Q7L4I","created_at":"2026-07-05T04:32:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:LO6Q7L4IDNI47S3T4EXNQKMMUR","target":"record","payload":{"canonical_record":{"source":{"id":"2111.08005","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-11-15T05:41:12Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"b45d74bb92112bf18b3bab7cc31e4e60cbfdcf8939834ea144b11cd729f2468c","abstract_canon_sha256":"c96a5d956abdfacaf7d34f07c1e18b8b358f1c68bf183f97cfb68656d9654f1a"},"schema_version":"1.0"},"canonical_sha256":"5bbd0faf881b51cfcb73e12ed8298ca4411d95a487390a86c3fc37fd5ca2c9f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:32:12.773434Z","signature_b64":"qGyBq+siWImFe5yq08VhTF8ydAW3pT936BvuqRVap4GidpM3jTX7CMrQwMNMUVdrpzTSIUhSrG3PnWBNuosxBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5bbd0faf881b51cfcb73e12ed8298ca4411d95a487390a86c3fc37fd5ca2c9f2","last_reissued_at":"2026-07-05T04:32:12.772954Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:32:12.772954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.08005","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":"2026-07-05T04:32:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nHIWDCLTTvJkGklPE6S8r5KCgnueAGFrnsnWd2kja9NVfKAoyUKkCDXke8hfeTctwkBK7OVGDMsbPLTlnRj+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:35:45.358075Z"},"content_sha256":"9924c7bbcbfd559a852030bb88ed3f5d16b973299223ec433a2fe93bf1504004","schema_version":"1.0","event_id":"sha256:9924c7bbcbfd559a852030bb88ed3f5d16b973299223ec433a2fe93bf1504004"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:LO6Q7L4IDNI47S3T4EXNQKMMUR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Solving Inverse Problems in Medical Imaging with Score-Based Generative Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","stat.ML"],"primary_cat":"eess.IV","authors_text":"Lei Xing, Liyue Shen, Stefano Ermon, Yang Song","submitted_at":"2021-11-15T05:41:12Z","abstract_excerpt":"Reconstructing medical images from partial measurements is an important inverse problem in Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Existing solutions based on machine learning typically train a model to directly map measurements to medical images, leveraging a training dataset of paired images and measurements. These measurements are typically synthesized from images using a fixed physical model of the measurement process, which hinders the generalization capability of models to unknown measurement processes. To address this issue, we propose a fully unsupervised techniq"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.08005","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/2111.08005/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":"2026-07-05T04:32:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LuOnsYo+j8o5Y1EgGMMcrQhGpFdorN3cvg4AttVoFm9xRCraL9UlgqNo0iPT8ZXF5ooi6cvqEqJTAsJFADfDBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T09:35:45.358581Z"},"content_sha256":"dffc6159682727057f6c4af2454d87ed0a4b7e1c8580e2e9affc3d9755b5fd24","schema_version":"1.0","event_id":"sha256:dffc6159682727057f6c4af2454d87ed0a4b7e1c8580e2e9affc3d9755b5fd24"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LO6Q7L4IDNI47S3T4EXNQKMMUR/bundle.json","state_url":"https://pith.science/pith/LO6Q7L4IDNI47S3T4EXNQKMMUR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LO6Q7L4IDNI47S3T4EXNQKMMUR/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":"2026-08-06T09:35:45Z","links":{"resolver":"https://pith.science/pith/LO6Q7L4IDNI47S3T4EXNQKMMUR","bundle":"https://pith.science/pith/LO6Q7L4IDNI47S3T4EXNQKMMUR/bundle.json","state":"https://pith.science/pith/LO6Q7L4IDNI47S3T4EXNQKMMUR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LO6Q7L4IDNI47S3T4EXNQKMMUR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:LO6Q7L4IDNI47S3T4EXNQKMMUR","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":"c96a5d956abdfacaf7d34f07c1e18b8b358f1c68bf183f97cfb68656d9654f1a","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-11-15T05:41:12Z","title_canon_sha256":"b45d74bb92112bf18b3bab7cc31e4e60cbfdcf8939834ea144b11cd729f2468c"},"schema_version":"1.0","source":{"id":"2111.08005","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.08005","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"arxiv_version","alias_value":"2111.08005v2","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.08005","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"pith_short_12","alias_value":"LO6Q7L4IDNI4","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"pith_short_16","alias_value":"LO6Q7L4IDNI47S3T","created_at":"2026-07-05T04:32:12Z"},{"alias_kind":"pith_short_8","alias_value":"LO6Q7L4I","created_at":"2026-07-05T04:32:12Z"}],"graph_snapshots":[{"event_id":"sha256:dffc6159682727057f6c4af2454d87ed0a4b7e1c8580e2e9affc3d9755b5fd24","target":"graph","created_at":"2026-07-05T04:32:12Z","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/2111.08005/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reconstructing medical images from partial measurements is an important inverse problem in Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Existing solutions based on machine learning typically train a model to directly map measurements to medical images, leveraging a training dataset of paired images and measurements. These measurements are typically synthesized from images using a fixed physical model of the measurement process, which hinders the generalization capability of models to unknown measurement processes. To address this issue, we propose a fully unsupervised techniq","authors_text":"Lei Xing, Liyue Shen, Stefano Ermon, Yang Song","cross_cats":["cs.CV","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-11-15T05:41:12Z","title":"Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.08005","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":"sha256:9924c7bbcbfd559a852030bb88ed3f5d16b973299223ec433a2fe93bf1504004","target":"record","created_at":"2026-07-05T04:32:12Z","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":"c96a5d956abdfacaf7d34f07c1e18b8b358f1c68bf183f97cfb68656d9654f1a","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-11-15T05:41:12Z","title_canon_sha256":"b45d74bb92112bf18b3bab7cc31e4e60cbfdcf8939834ea144b11cd729f2468c"},"schema_version":"1.0","source":{"id":"2111.08005","kind":"arxiv","version":2}},"canonical_sha256":"5bbd0faf881b51cfcb73e12ed8298ca4411d95a487390a86c3fc37fd5ca2c9f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5bbd0faf881b51cfcb73e12ed8298ca4411d95a487390a86c3fc37fd5ca2c9f2","first_computed_at":"2026-07-05T04:32:12.772954Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:32:12.772954Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qGyBq+siWImFe5yq08VhTF8ydAW3pT936BvuqRVap4GidpM3jTX7CMrQwMNMUVdrpzTSIUhSrG3PnWBNuosxBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:32:12.773434Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.08005","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9924c7bbcbfd559a852030bb88ed3f5d16b973299223ec433a2fe93bf1504004","sha256:dffc6159682727057f6c4af2454d87ed0a4b7e1c8580e2e9affc3d9755b5fd24"],"state_sha256":"40602e376aa2175b73905f47811f2e865499ddda0198f1c51670589d56709675"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1dokpQPkIRkwyC8yocWbysPSY/AEnW1bqyLkXRZn6b0nxZZiXUw/P6Uj2j1zB1Ou0yaqjbOWG9SP6pH+MyUqBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T09:35:45.362550Z","bundle_sha256":"315b313f0bec6ad0ef79f02bfe963715320c4dae044aad833149fae3cff5595c"}}