{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:24IRTJP5GD4TCMMZ4L3XVJVK6A","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":"4264a545f5a857fec2954207a8fa8a2d85defc41ec63b20844e8aca55f2fc3ba","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-07-07T05:11:00Z","title_canon_sha256":"b3477dfcb8111d4547e0ef81dafca3ed261d248082c8fcf9b4557b4f1e60f13b"},"schema_version":"1.0","source":{"id":"2407.05259","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.05259","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"arxiv_version","alias_value":"2407.05259v1","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.05259","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_12","alias_value":"24IRTJP5GD4T","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_16","alias_value":"24IRTJP5GD4TCMMZ","created_at":"2026-07-05T08:41:10Z"},{"alias_kind":"pith_short_8","alias_value":"24IRTJP5","created_at":"2026-07-05T08:41:10Z"}],"graph_snapshots":[{"event_id":"sha256:03de0ef45ad57926a0e50e0453b3413f67f2915f48c64208bcc19a24bc3c48af","target":"graph","created_at":"2026-07-05T08:41:10Z","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/2407.05259/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advance of diffusion-based generative models in recent years has revolutionized state-of-the-art (SOTA) techniques in a wide variety of image analysis and synthesis tasks, whereas their adaptation on image restoration, particularly within computational microscopy remains theoretically and empirically underexplored. In this research, we introduce a multi-scale generative model that enhances conditional image restoration through a novel exploitation of the Brownian Bridge process within wavelet domain. By initiating the Brownian Bridge diffusion process specifically at the lowest-frequency s","authors_text":"Aydogan Ozcan, Jiawen Sun, Luzhe Huang, Paul Bogdan, Shixuan Li, Xiongye Xiao, Yi Huang","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-07-07T05:11:00Z","title":"Multi-scale Conditional Generative Modeling for Microscopic Image Restoration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.05259","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":"sha256:653e61d8e14ca6e6c7a85abccd3e3f778eb5a19e41fecedb4b65dbec9f20790e","target":"record","created_at":"2026-07-05T08:41:10Z","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":"4264a545f5a857fec2954207a8fa8a2d85defc41ec63b20844e8aca55f2fc3ba","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-07-07T05:11:00Z","title_canon_sha256":"b3477dfcb8111d4547e0ef81dafca3ed261d248082c8fcf9b4557b4f1e60f13b"},"schema_version":"1.0","source":{"id":"2407.05259","kind":"arxiv","version":1}},"canonical_sha256":"d71119a5fd30f9313199e2f77aa6aaf00814aa8a8fdf36943fb01019da020b78","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d71119a5fd30f9313199e2f77aa6aaf00814aa8a8fdf36943fb01019da020b78","first_computed_at":"2026-07-05T08:41:10.421028Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:41:10.421028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uRi+dgwfbwVR0rQlNL2ddKoMDdNQ6JAOH+/A5laNwY+tKwSq0JIJEap4/6ONdm3IZJmnF0DKxClvRRYQXKZ6CA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:41:10.421583Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.05259","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:653e61d8e14ca6e6c7a85abccd3e3f778eb5a19e41fecedb4b65dbec9f20790e","sha256:03de0ef45ad57926a0e50e0453b3413f67f2915f48c64208bcc19a24bc3c48af"],"state_sha256":"48233c52a46efff7a4d10d93d0207ccc7e36db2b4cbeaafe9f77dd52ca583c3b"}