{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:7DKPP4ULUPRARIBA2HNSVCH34X","short_pith_number":"pith:7DKPP4UL","canonical_record":{"source":{"id":"2310.10835","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-16T21:17:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"e5d47bdce901e406d570ab7ba7c9799fb3a6fad7d3b55cf43de4cabb00de0c8d","abstract_canon_sha256":"8ee894037dd6a785283c4eb536fa1d9122ecf11452b8caadcbd81348f259c3c8"},"schema_version":"1.0"},"canonical_sha256":"f8d4f7f28ba3e208a020d1db2a88fbe5d0b8d88c3ab62edcedc08f372933a9fc","source":{"kind":"arxiv","id":"2310.10835","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10835","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10835v3","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10835","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"pith_short_12","alias_value":"7DKPP4ULUPRA","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"pith_short_16","alias_value":"7DKPP4ULUPRARIBA","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"pith_short_8","alias_value":"7DKPP4UL","created_at":"2026-07-05T08:59:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:7DKPP4ULUPRARIBA2HNSVCH34X","target":"record","payload":{"canonical_record":{"source":{"id":"2310.10835","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-16T21:17:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"e5d47bdce901e406d570ab7ba7c9799fb3a6fad7d3b55cf43de4cabb00de0c8d","abstract_canon_sha256":"8ee894037dd6a785283c4eb536fa1d9122ecf11452b8caadcbd81348f259c3c8"},"schema_version":"1.0"},"canonical_sha256":"f8d4f7f28ba3e208a020d1db2a88fbe5d0b8d88c3ab62edcedc08f372933a9fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:59:59.910849Z","signature_b64":"n7NKA3XECy4GPSDvDiP13MYmQbwuvGUT9LPeZCeV4JaSLW7m497onkRAYADhbixyLwR2Om17uzlK92YfqwedDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8d4f7f28ba3e208a020d1db2a88fbe5d0b8d88c3ab62edcedc08f372933a9fc","last_reissued_at":"2026-07-05T08:59:59.910407Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:59:59.910407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.10835","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:59:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nWxRHgKo1sFRPeMHCsJNtbOD0DR28ozoO3liUOnu0ShPZVAg5nlLP0mc7zvsXOacQ6+ND2rNVz4sgwrYVtZ+CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:28:38.467216Z"},"content_sha256":"205d8859298b4bd183cc44de0d182949d9b0a5e88838879375547c393ccc4410","schema_version":"1.0","event_id":"sha256:205d8859298b4bd183cc44de0d182949d9b0a5e88838879375547c393ccc4410"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:7DKPP4ULUPRARIBA2HNSVCH34X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Provable Probabilistic Imaging using Score-Based Generative Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Berthy T. Feng, Katherine L. Bouman, Yifan Chen, Yu Sun, Zihui Wu","submitted_at":"2023-10-16T21:17:29Z","abstract_excerpt":"Estimating high-quality images while also quantifying their uncertainty are two desired features in an image reconstruction algorithm for solving ill-posed inverse problems. In this paper, we propose plug-and-play Monte Carlo (PMC) as a principled framework for characterizing the space of possible solutions to a general inverse problem. PMC is able to incorporate expressive score-based generative priors for high-quality image reconstruction while also performing uncertainty quantification via posterior sampling. In particular, we develop two PMC algorithms that can be viewed as the sampling an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10835","kind":"arxiv","version":3},"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/2310.10835/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":"2026-07-05T08:59:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"55H9xljkeSefM1bef4N+6qJN9JJZ4pwXGfTXv1mUVDrPJEEEDnrybwbVE0DHcEAfVosCYvaWOZUN1wZ/uNVvBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:28:38.467786Z"},"content_sha256":"fdac7f0ba3bce8d47ac7450062a343ab539f0ab772b085307295e0d8e9c28c81","schema_version":"1.0","event_id":"sha256:fdac7f0ba3bce8d47ac7450062a343ab539f0ab772b085307295e0d8e9c28c81"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7DKPP4ULUPRARIBA2HNSVCH34X/bundle.json","state_url":"https://pith.science/pith/7DKPP4ULUPRARIBA2HNSVCH34X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7DKPP4ULUPRARIBA2HNSVCH34X/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":"2026-08-10T20:28:38Z","links":{"resolver":"https://pith.science/pith/7DKPP4ULUPRARIBA2HNSVCH34X","bundle":"https://pith.science/pith/7DKPP4ULUPRARIBA2HNSVCH34X/bundle.json","state":"https://pith.science/pith/7DKPP4ULUPRARIBA2HNSVCH34X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7DKPP4ULUPRARIBA2HNSVCH34X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7DKPP4ULUPRARIBA2HNSVCH34X","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":"8ee894037dd6a785283c4eb536fa1d9122ecf11452b8caadcbd81348f259c3c8","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-16T21:17:29Z","title_canon_sha256":"e5d47bdce901e406d570ab7ba7c9799fb3a6fad7d3b55cf43de4cabb00de0c8d"},"schema_version":"1.0","source":{"id":"2310.10835","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10835","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10835v3","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10835","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"pith_short_12","alias_value":"7DKPP4ULUPRA","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"pith_short_16","alias_value":"7DKPP4ULUPRARIBA","created_at":"2026-07-05T08:59:59Z"},{"alias_kind":"pith_short_8","alias_value":"7DKPP4UL","created_at":"2026-07-05T08:59:59Z"}],"graph_snapshots":[{"event_id":"sha256:fdac7f0ba3bce8d47ac7450062a343ab539f0ab772b085307295e0d8e9c28c81","target":"graph","created_at":"2026-07-05T08:59:59Z","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/2310.10835/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Estimating high-quality images while also quantifying their uncertainty are two desired features in an image reconstruction algorithm for solving ill-posed inverse problems. In this paper, we propose plug-and-play Monte Carlo (PMC) as a principled framework for characterizing the space of possible solutions to a general inverse problem. PMC is able to incorporate expressive score-based generative priors for high-quality image reconstruction while also performing uncertainty quantification via posterior sampling. In particular, we develop two PMC algorithms that can be viewed as the sampling an","authors_text":"Berthy T. Feng, Katherine L. Bouman, Yifan Chen, Yu Sun, Zihui Wu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-16T21:17:29Z","title":"Provable Probabilistic Imaging using Score-Based Generative Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10835","kind":"arxiv","version":3},"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":"sha256:205d8859298b4bd183cc44de0d182949d9b0a5e88838879375547c393ccc4410","target":"record","created_at":"2026-07-05T08:59:59Z","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":"8ee894037dd6a785283c4eb536fa1d9122ecf11452b8caadcbd81348f259c3c8","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-16T21:17:29Z","title_canon_sha256":"e5d47bdce901e406d570ab7ba7c9799fb3a6fad7d3b55cf43de4cabb00de0c8d"},"schema_version":"1.0","source":{"id":"2310.10835","kind":"arxiv","version":3}},"canonical_sha256":"f8d4f7f28ba3e208a020d1db2a88fbe5d0b8d88c3ab62edcedc08f372933a9fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8d4f7f28ba3e208a020d1db2a88fbe5d0b8d88c3ab62edcedc08f372933a9fc","first_computed_at":"2026-07-05T08:59:59.910407Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:59.910407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n7NKA3XECy4GPSDvDiP13MYmQbwuvGUT9LPeZCeV4JaSLW7m497onkRAYADhbixyLwR2Om17uzlK92YfqwedDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:59.910849Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10835","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:205d8859298b4bd183cc44de0d182949d9b0a5e88838879375547c393ccc4410","sha256:fdac7f0ba3bce8d47ac7450062a343ab539f0ab772b085307295e0d8e9c28c81"],"state_sha256":"71107e531ae2434ac45edae2f170f44adbf2b749a20bf7d283975c863524c188"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t2oxdSx9TpCbPKKBxdMZ31NdN2x0zWmxNhckRWTOvDxvRnv4lMhJd5up2nuMnbwq5Oc92l0r7rt9aAX7BGwnDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:28:38.481102Z","bundle_sha256":"9f12169e2233a1b0934674d3349c3d873c029969b3a46a6d8c6905eb064f984c"}}