{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:77XU26J3PH3O64VTJ2ITFNBLDY","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":"e55fdd9b96aee1afa9f05f5c7fbadee147f8dbbef44bb87fdec693130bf38958","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-12T13:10:31Z","title_canon_sha256":"af3e85ba800777e583dba840ea483954f001db2947e82aaef362b9e041db997b"},"schema_version":"1.0","source":{"id":"2406.08177","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.08177","created_at":"2026-07-05T09:24:58Z"},{"alias_kind":"arxiv_version","alias_value":"2406.08177v3","created_at":"2026-07-05T09:24:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.08177","created_at":"2026-07-05T09:24:58Z"},{"alias_kind":"pith_short_12","alias_value":"77XU26J3PH3O","created_at":"2026-07-05T09:24:58Z"},{"alias_kind":"pith_short_16","alias_value":"77XU26J3PH3O64VT","created_at":"2026-07-05T09:24:58Z"},{"alias_kind":"pith_short_8","alias_value":"77XU26J3","created_at":"2026-07-05T09:24:58Z"}],"graph_snapshots":[{"event_id":"sha256:5528aec03133bdebd32fabb58f04f06181e8ffeb4d9255ce5f8e2e43a6bf68d5","target":"graph","created_at":"2026-07-05T09:24:58Z","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/2406.08177/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The pre-trained text-to-image diffusion models have been increasingly employed to tackle the real-world image super-resolution (Real-ISR) problem due to their powerful generative image priors. Most of the existing methods start from random noise to reconstruct the high-quality (HQ) image under the guidance of the given low-quality (LQ) image. While promising results have been achieved, such Real-ISR methods require multiple diffusion steps to reproduce the HQ image, increasing the computational cost. Meanwhile, the random noise introduces uncertainty in the output, which is unfriendly to image","authors_text":"Lei Zhang, Lingchen Sun, Rongyuan Wu, Zhiyuan Ma","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-12T13:10:31Z","title":"One-Step Effective Diffusion Network for Real-World Image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.08177","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:bd4d864f97c6641acc459ead9278bda57529553dbccd0bde9c2cecf3b292f790","target":"record","created_at":"2026-07-05T09:24:58Z","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":"e55fdd9b96aee1afa9f05f5c7fbadee147f8dbbef44bb87fdec693130bf38958","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-12T13:10:31Z","title_canon_sha256":"af3e85ba800777e583dba840ea483954f001db2947e82aaef362b9e041db997b"},"schema_version":"1.0","source":{"id":"2406.08177","kind":"arxiv","version":3}},"canonical_sha256":"ffef4d793b79f6ef72b34e9132b42b1e04089e8dcda576e23de1de1f00d434de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ffef4d793b79f6ef72b34e9132b42b1e04089e8dcda576e23de1de1f00d434de","first_computed_at":"2026-07-05T09:24:58.963840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:24:58.963840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x5dl51iNPJVtX3Kct4g23EZjfXl6N7FnXBPyedpX4GN2+TVid3RLWPpjGaErrNShegv+kJsTSa+fvtH+hqGwCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:24:58.964366Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.08177","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd4d864f97c6641acc459ead9278bda57529553dbccd0bde9c2cecf3b292f790","sha256:5528aec03133bdebd32fabb58f04f06181e8ffeb4d9255ce5f8e2e43a6bf68d5"],"state_sha256":"3e75b89aff86f4e69d79d553cf0ab740af6ae7de0f8062c45d16e61ddc6f4dbf"}