{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SKDGMCZ24XMWQRSEPM5MONENAL","short_pith_number":"pith:SKDGMCZ2","canonical_record":{"source":{"id":"2308.07228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T16:04:53Z","cross_cats_sorted":[],"title_canon_sha256":"d6e1d6982ca099b50005c784dcc0e8d38425ee39823d2d0f2ab53c517c7244c8","abstract_canon_sha256":"73368767f8c61eea73ec5832f2e51af1a9401d83879370b820b6d675de927443"},"schema_version":"1.0"},"canonical_sha256":"9286660b3ae5d96846447b3ac7348d02e3f90a08106bd41b80fec3db6875c3d9","source":{"kind":"arxiv","id":"2308.07228","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07228","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07228v1","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07228","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"pith_short_12","alias_value":"SKDGMCZ24XMW","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"pith_short_16","alias_value":"SKDGMCZ24XMWQRSE","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"pith_short_8","alias_value":"SKDGMCZ2","created_at":"2026-07-05T06:40:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SKDGMCZ24XMWQRSEPM5MONENAL","target":"record","payload":{"canonical_record":{"source":{"id":"2308.07228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T16:04:53Z","cross_cats_sorted":[],"title_canon_sha256":"d6e1d6982ca099b50005c784dcc0e8d38425ee39823d2d0f2ab53c517c7244c8","abstract_canon_sha256":"73368767f8c61eea73ec5832f2e51af1a9401d83879370b820b6d675de927443"},"schema_version":"1.0"},"canonical_sha256":"9286660b3ae5d96846447b3ac7348d02e3f90a08106bd41b80fec3db6875c3d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:40:57.756612Z","signature_b64":"xtWcLherSZebpx7AY4Y9MmzlxUMt0wgFiiHEkCEfm/7CAoHoiAKsuyqsnh4v+bKj8SRVcdY+Z4iZZleIXZwXCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9286660b3ae5d96846447b3ac7348d02e3f90a08106bd41b80fec3db6875c3d9","last_reissued_at":"2026-07-05T06:40:57.756112Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:40:57.756112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.07228","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:40:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3MnanRpdO6YvPHa2oByZCx4+XszJ1Pw7QKoXg6IhpnGy9U82Aw+yGXrfMKGAqmdFH582U8zCdy8T1nEIfmDcDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:19:42.184355Z"},"content_sha256":"ebb4b6fd10082f1059eded11afa9ebd3138de82c1a1257980b9922661eae950e","schema_version":"1.0","event_id":"sha256:ebb4b6fd10082f1059eded11afa9ebd3138de82c1a1257980b9922661eae950e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SKDGMCZ24XMWQRSEPM5MONENAL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiawei Zhang, Ping Luo, Tianshui Chen, Wenping Wang, Zhouxia Wang","submitted_at":"2023-08-14T16:04:53Z","abstract_excerpt":"Blind face restoration aims at recovering high-quality face images from those with unknown degradations. Current algorithms mainly introduce priors to complement high-quality details and achieve impressive progress. However, most of these algorithms ignore abundant contextual information in the face and its interplay with the priors, leading to sub-optimal performance. Moreover, they pay less attention to the gap between the synthetic and real-world scenarios, limiting the robustness and generalization to real-world applications. In this work, we propose RestoreFormer++, which on the one hand "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07228","kind":"arxiv","version":1},"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/2308.07228/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":"2026-07-05T06:40:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/yYzbOnsm/f4DTJ5Tsai5DnZOpxO8snbdIsH55c8TVIoQCrgG/F2y4i1vpCidfge01fbzwQyQTu/ZQ66hwRaBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:19:42.184879Z"},"content_sha256":"79a2624f52cbe7f51320db01de9e88010fd3a4477c69bee46d5bd6b790fbfe18","schema_version":"1.0","event_id":"sha256:79a2624f52cbe7f51320db01de9e88010fd3a4477c69bee46d5bd6b790fbfe18"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SKDGMCZ24XMWQRSEPM5MONENAL/bundle.json","state_url":"https://pith.science/pith/SKDGMCZ24XMWQRSEPM5MONENAL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SKDGMCZ24XMWQRSEPM5MONENAL/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":"2026-08-07T08:19:42Z","links":{"resolver":"https://pith.science/pith/SKDGMCZ24XMWQRSEPM5MONENAL","bundle":"https://pith.science/pith/SKDGMCZ24XMWQRSEPM5MONENAL/bundle.json","state":"https://pith.science/pith/SKDGMCZ24XMWQRSEPM5MONENAL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SKDGMCZ24XMWQRSEPM5MONENAL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SKDGMCZ24XMWQRSEPM5MONENAL","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":"73368767f8c61eea73ec5832f2e51af1a9401d83879370b820b6d675de927443","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T16:04:53Z","title_canon_sha256":"d6e1d6982ca099b50005c784dcc0e8d38425ee39823d2d0f2ab53c517c7244c8"},"schema_version":"1.0","source":{"id":"2308.07228","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.07228","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"arxiv_version","alias_value":"2308.07228v1","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.07228","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"pith_short_12","alias_value":"SKDGMCZ24XMW","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"pith_short_16","alias_value":"SKDGMCZ24XMWQRSE","created_at":"2026-07-05T06:40:57Z"},{"alias_kind":"pith_short_8","alias_value":"SKDGMCZ2","created_at":"2026-07-05T06:40:57Z"}],"graph_snapshots":[{"event_id":"sha256:79a2624f52cbe7f51320db01de9e88010fd3a4477c69bee46d5bd6b790fbfe18","target":"graph","created_at":"2026-07-05T06:40:57Z","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/2308.07228/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Blind face restoration aims at recovering high-quality face images from those with unknown degradations. Current algorithms mainly introduce priors to complement high-quality details and achieve impressive progress. However, most of these algorithms ignore abundant contextual information in the face and its interplay with the priors, leading to sub-optimal performance. Moreover, they pay less attention to the gap between the synthetic and real-world scenarios, limiting the robustness and generalization to real-world applications. In this work, we propose RestoreFormer++, which on the one hand ","authors_text":"Jiawei Zhang, Ping Luo, Tianshui Chen, Wenping Wang, Zhouxia Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T16:04:53Z","title":"RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.07228","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:ebb4b6fd10082f1059eded11afa9ebd3138de82c1a1257980b9922661eae950e","target":"record","created_at":"2026-07-05T06:40:57Z","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":"73368767f8c61eea73ec5832f2e51af1a9401d83879370b820b6d675de927443","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-14T16:04:53Z","title_canon_sha256":"d6e1d6982ca099b50005c784dcc0e8d38425ee39823d2d0f2ab53c517c7244c8"},"schema_version":"1.0","source":{"id":"2308.07228","kind":"arxiv","version":1}},"canonical_sha256":"9286660b3ae5d96846447b3ac7348d02e3f90a08106bd41b80fec3db6875c3d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9286660b3ae5d96846447b3ac7348d02e3f90a08106bd41b80fec3db6875c3d9","first_computed_at":"2026-07-05T06:40:57.756112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:40:57.756112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xtWcLherSZebpx7AY4Y9MmzlxUMt0wgFiiHEkCEfm/7CAoHoiAKsuyqsnh4v+bKj8SRVcdY+Z4iZZleIXZwXCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:40:57.756612Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.07228","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ebb4b6fd10082f1059eded11afa9ebd3138de82c1a1257980b9922661eae950e","sha256:79a2624f52cbe7f51320db01de9e88010fd3a4477c69bee46d5bd6b790fbfe18"],"state_sha256":"90545bf6a85e121b784a5c9682eb491db830b5899e0354cadb3547f6a23506a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BU1abqhqo9FKrZcQYTy/IYbpvh/0b0xoWDmI9hiX5xz79ddxXcE8Ab9OzM2M9yvz30JvLNcsaZXuH+maIFyhBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:19:42.189587Z","bundle_sha256":"722479f76709e092216a81788ed4001f8e414b35c3a24fb88d6c70f643617223"}}