{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7DMS3E6P57DFQEL2MXV6KKR6TF","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":"c68dbbbc8978aa01db3fddbc1b19d5c96cf09581d23bc87f508d4cf2ee589193","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T09:40:14Z","title_canon_sha256":"b81c67dfc69e2d664f92901a7011d92669196f902c774d12348a6fb835cda270"},"schema_version":"1.0","source":{"id":"2311.15658","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.15658","created_at":"2026-07-05T10:28:13Z"},{"alias_kind":"arxiv_version","alias_value":"2311.15658v3","created_at":"2026-07-05T10:28:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15658","created_at":"2026-07-05T10:28:13Z"},{"alias_kind":"pith_short_12","alias_value":"7DMS3E6P57DF","created_at":"2026-07-05T10:28:13Z"},{"alias_kind":"pith_short_16","alias_value":"7DMS3E6P57DFQEL2","created_at":"2026-07-05T10:28:13Z"},{"alias_kind":"pith_short_8","alias_value":"7DMS3E6P","created_at":"2026-07-05T10:28:13Z"}],"graph_snapshots":[{"event_id":"sha256:81d0ee5b2bf852501864b30fbbadce20b818dd06694f3c2058751ff92241dc18","target":"graph","created_at":"2026-07-05T10:28:13Z","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/2311.15658/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent development of diffusion models has led to significant progress in solving inverse problems by leveraging these models as powerful generative priors. However, challenges persist due to the ill-posed nature of such problems, often arising from ambiguities in measurements or intrinsic system symmetries. To address this, here we introduce a novel latent diffusion inverse solver, regularization by text (TReg), inspired by the human ability to resolve visual ambiguities through perceptual biases. TReg integrates textual descriptions of preconceptions about the solution during reverse dif","authors_text":"Geon Yeong Park, Hyungjin Chung, Jeongsol Kim, Jong Chul Ye","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T09:40:14Z","title":"Regularization by Texts for Latent Diffusion Inverse Solvers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15658","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":"sha256:5ba3f43f714770ee9edf437d5486e7bf0fd0ba99e7b83db16c680a6690405931","target":"record","created_at":"2026-07-05T10:28:13Z","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":"c68dbbbc8978aa01db3fddbc1b19d5c96cf09581d23bc87f508d4cf2ee589193","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T09:40:14Z","title_canon_sha256":"b81c67dfc69e2d664f92901a7011d92669196f902c774d12348a6fb835cda270"},"schema_version":"1.0","source":{"id":"2311.15658","kind":"arxiv","version":3}},"canonical_sha256":"f8d92d93cfefc658117a65ebe52a3e9978eedf2786d82f8419baebd690715a40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8d92d93cfefc658117a65ebe52a3e9978eedf2786d82f8419baebd690715a40","first_computed_at":"2026-07-05T10:28:13.231132Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:28:13.231132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B/xf1KgcxsV/PrC15QtEOIDKlieupPgOY10VsOTv12sIT0D0swhLg+X6n4j2ZdswX7OpNzgofXnQ8djTevQ5BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:28:13.231921Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.15658","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ba3f43f714770ee9edf437d5486e7bf0fd0ba99e7b83db16c680a6690405931","sha256:81d0ee5b2bf852501864b30fbbadce20b818dd06694f3c2058751ff92241dc18"],"state_sha256":"3998f0979278e3c773df275347fb556b25c97a108abcdf2523872e2e353ee11e"}