{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:F7AQKLJHFK5U4AOBJIGULD2ENV","short_pith_number":"pith:F7AQKLJH","canonical_record":{"source":{"id":"2206.11253","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-22T17:58:01Z","cross_cats_sorted":[],"title_canon_sha256":"8650b671a3a6d14f9714bea9d3b95065040dc1e4765900d84dab3e60e26da3bf","abstract_canon_sha256":"cb656f0f55d563893f268b6ea662444a3a2747a8bf7f57a9f51d8e76666f79ba"},"schema_version":"1.0"},"canonical_sha256":"2fc1052d272abb4e01c14a0d458f446d479a45528edae95da520df67ea485839","source":{"kind":"arxiv","id":"2206.11253","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.11253","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"arxiv_version","alias_value":"2206.11253v2","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.11253","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"pith_short_12","alias_value":"F7AQKLJHFK5U","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"pith_short_16","alias_value":"F7AQKLJHFK5U4AOB","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"pith_short_8","alias_value":"F7AQKLJH","created_at":"2026-07-05T05:12:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:F7AQKLJHFK5U4AOBJIGULD2ENV","target":"record","payload":{"canonical_record":{"source":{"id":"2206.11253","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-22T17:58:01Z","cross_cats_sorted":[],"title_canon_sha256":"8650b671a3a6d14f9714bea9d3b95065040dc1e4765900d84dab3e60e26da3bf","abstract_canon_sha256":"cb656f0f55d563893f268b6ea662444a3a2747a8bf7f57a9f51d8e76666f79ba"},"schema_version":"1.0"},"canonical_sha256":"2fc1052d272abb4e01c14a0d458f446d479a45528edae95da520df67ea485839","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:12:12.893977Z","signature_b64":"pJdF22K+I5neGiHVNhCrMmbtROiSYZeoSY18xXQoOSuUHbK3ILEksvkHOkCegNv1ammfvXp/dMnBjfpd/Q6MAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2fc1052d272abb4e01c14a0d458f446d479a45528edae95da520df67ea485839","last_reissued_at":"2026-07-05T05:12:12.893573Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:12:12.893573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.11253","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:12:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wzBi22atTOdMLIweL/lByOuV+VPF93iEwtrmyqvwUZbmDGMUOneOdUIyFLSom0IUH9emH7EBUkc3UXGPp3wBAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:11:17.384356Z"},"content_sha256":"5af942424e2f6790af58def5964b0ec88e6ebff0c82385b5d13a686bf2184855","schema_version":"1.0","event_id":"sha256:5af942424e2f6790af58def5964b0ec88e6ebff0c82385b5d13a686bf2184855"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:F7AQKLJHFK5U4AOBJIGULD2ENV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Robust Blind Face Restoration with Codebook Lookup Transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chen Change Loy, Chongyi Li, Kelvin C.K. Chan, Shangchen Zhou","submitted_at":"2022-06-22T17:58:01Z","abstract_excerpt":"Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to 1) improve the mapping from degraded inputs to desired outputs, or 2) complement high-quality details lost in the inputs. In this paper, we demonstrate that a learned discrete codebook prior in a small proxy space largely reduces the uncertainty and ambiguity of restoration mapping by casting blind face restoration as a code prediction task, while providing rich visual atoms for generating high-quality faces. Under this paradigm, we propose a Transformer-based prediction network, named CodeFormer, to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.11253","kind":"arxiv","version":2},"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/2206.11253/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":"2026-07-05T05:12:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KQ0OgghyZ2ixq0hrhXOYDnELWKuVsb7wdj8gGpwaDRzUi2f7P7Plr5SBEwoljbOXTT/pp3cdo6YtXB0Rh0wDDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:11:17.385350Z"},"content_sha256":"07335bf97f7d99ce166a452bb5ec117f78253611340f0cadb66700568d484ac5","schema_version":"1.0","event_id":"sha256:07335bf97f7d99ce166a452bb5ec117f78253611340f0cadb66700568d484ac5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F7AQKLJHFK5U4AOBJIGULD2ENV/bundle.json","state_url":"https://pith.science/pith/F7AQKLJHFK5U4AOBJIGULD2ENV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F7AQKLJHFK5U4AOBJIGULD2ENV/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":"2026-08-09T16:11:17Z","links":{"resolver":"https://pith.science/pith/F7AQKLJHFK5U4AOBJIGULD2ENV","bundle":"https://pith.science/pith/F7AQKLJHFK5U4AOBJIGULD2ENV/bundle.json","state":"https://pith.science/pith/F7AQKLJHFK5U4AOBJIGULD2ENV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F7AQKLJHFK5U4AOBJIGULD2ENV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:F7AQKLJHFK5U4AOBJIGULD2ENV","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":"cb656f0f55d563893f268b6ea662444a3a2747a8bf7f57a9f51d8e76666f79ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-22T17:58:01Z","title_canon_sha256":"8650b671a3a6d14f9714bea9d3b95065040dc1e4765900d84dab3e60e26da3bf"},"schema_version":"1.0","source":{"id":"2206.11253","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.11253","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"arxiv_version","alias_value":"2206.11253v2","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.11253","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"pith_short_12","alias_value":"F7AQKLJHFK5U","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"pith_short_16","alias_value":"F7AQKLJHFK5U4AOB","created_at":"2026-07-05T05:12:12Z"},{"alias_kind":"pith_short_8","alias_value":"F7AQKLJH","created_at":"2026-07-05T05:12:12Z"}],"graph_snapshots":[{"event_id":"sha256:07335bf97f7d99ce166a452bb5ec117f78253611340f0cadb66700568d484ac5","target":"graph","created_at":"2026-07-05T05:12:12Z","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/2206.11253/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to 1) improve the mapping from degraded inputs to desired outputs, or 2) complement high-quality details lost in the inputs. In this paper, we demonstrate that a learned discrete codebook prior in a small proxy space largely reduces the uncertainty and ambiguity of restoration mapping by casting blind face restoration as a code prediction task, while providing rich visual atoms for generating high-quality faces. Under this paradigm, we propose a Transformer-based prediction network, named CodeFormer, to","authors_text":"Chen Change Loy, Chongyi Li, Kelvin C.K. Chan, Shangchen Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-22T17:58:01Z","title":"Towards Robust Blind Face Restoration with Codebook Lookup Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.11253","kind":"arxiv","version":2},"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":"sha256:5af942424e2f6790af58def5964b0ec88e6ebff0c82385b5d13a686bf2184855","target":"record","created_at":"2026-07-05T05:12:12Z","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":"cb656f0f55d563893f268b6ea662444a3a2747a8bf7f57a9f51d8e76666f79ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-22T17:58:01Z","title_canon_sha256":"8650b671a3a6d14f9714bea9d3b95065040dc1e4765900d84dab3e60e26da3bf"},"schema_version":"1.0","source":{"id":"2206.11253","kind":"arxiv","version":2}},"canonical_sha256":"2fc1052d272abb4e01c14a0d458f446d479a45528edae95da520df67ea485839","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fc1052d272abb4e01c14a0d458f446d479a45528edae95da520df67ea485839","first_computed_at":"2026-07-05T05:12:12.893573Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:12.893573Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pJdF22K+I5neGiHVNhCrMmbtROiSYZeoSY18xXQoOSuUHbK3ILEksvkHOkCegNv1ammfvXp/dMnBjfpd/Q6MAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:12.893977Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.11253","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5af942424e2f6790af58def5964b0ec88e6ebff0c82385b5d13a686bf2184855","sha256:07335bf97f7d99ce166a452bb5ec117f78253611340f0cadb66700568d484ac5"],"state_sha256":"dd3d05343464622813323a0b657bc16f3f86f668738b9b5bdb881bb99811970d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ewz+fUawfV880VOoVUDkKU5kcV0DjupnB3niskkwidNDtuumW8c02+3ANWlaSKkXBDEcvL3YXBoh2qWG5iFBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T16:11:17.391344Z","bundle_sha256":"abf60cc17b61e338e9564f440388f2d30d576434f43f5f0ec0ef2bfb0482e5c0"}}