{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DV43WZLHQLMCXBVFMJ3U2OOOY7","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":"2eb9e7a7928a100a2f46b2c1b05842cc462cc704f130b540e5318ca6930b7c82","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-24T02:19:20Z","title_canon_sha256":"af4c2254cac865508ce21f184f1fcc0fb0e56166c0ebca1f5f475c6a08b72c4d"},"schema_version":"1.0","source":{"id":"2505.18469","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.18469","created_at":"2026-07-05T11:08:46Z"},{"alias_kind":"arxiv_version","alias_value":"2505.18469v1","created_at":"2026-07-05T11:08:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18469","created_at":"2026-07-05T11:08:46Z"},{"alias_kind":"pith_short_12","alias_value":"DV43WZLHQLMC","created_at":"2026-07-05T11:08:46Z"},{"alias_kind":"pith_short_16","alias_value":"DV43WZLHQLMCXBVF","created_at":"2026-07-05T11:08:46Z"},{"alias_kind":"pith_short_8","alias_value":"DV43WZLH","created_at":"2026-07-05T11:08:46Z"}],"graph_snapshots":[{"event_id":"sha256:793c9021cab7103558c0403ff9343fda354d4c4c5ea3cc9a0a37763689241f7e","target":"graph","created_at":"2026-07-05T11:08:46Z","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/2505.18469/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Face restoration has achieved remarkable advancements through the years of development. However, ensuring that restored facial images exhibit high fidelity, preserve authentic features, and avoid introducing artifacts or biases remains a significant challenge. This highlights the need for models that are more \"honest\" in their reconstruction from low-quality inputs, accurately reflecting original characteristics. In this work, we propose HonestFace, a novel approach designed to restore faces with a strong emphasis on such honesty, particularly concerning identity consistency and texture realis","authors_text":"Hong Gu, Jingkai Wang, Jue Gong, Wu Miao, Xing Liu, Yulun Zhang, Yutong Liu, Zheng Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-24T02:19:20Z","title":"HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18469","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":"sha256:69b810a0abe4761370980a1bce07047cb7814ebfffea4eeb03c2e4327e15a479","target":"record","created_at":"2026-07-05T11:08:46Z","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":"2eb9e7a7928a100a2f46b2c1b05842cc462cc704f130b540e5318ca6930b7c82","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-24T02:19:20Z","title_canon_sha256":"af4c2254cac865508ce21f184f1fcc0fb0e56166c0ebca1f5f475c6a08b72c4d"},"schema_version":"1.0","source":{"id":"2505.18469","kind":"arxiv","version":1}},"canonical_sha256":"1d79bb656782d82b86a562774d39cec7e0c066f5ce63c1511c3b06a1ec352f1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d79bb656782d82b86a562774d39cec7e0c066f5ce63c1511c3b06a1ec352f1d","first_computed_at":"2026-07-05T11:08:46.941990Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:46.941990Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+dqmGmme/aCCvwigs0JtrJdA21H+1O4iKY7iaT5R6Ky64Ee1WRjRO9zawu2GisENx1k/iyzlIn2ao/7YMbPCAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:46.942412Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.18469","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69b810a0abe4761370980a1bce07047cb7814ebfffea4eeb03c2e4327e15a479","sha256:793c9021cab7103558c0403ff9343fda354d4c4c5ea3cc9a0a37763689241f7e"],"state_sha256":"6cd153512a2d730e5358032d493d9455418412aaf4242f31dd73a3027dd9dd7d"}