{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:UTLFXJDFMRZPXZCZIJXR2XT76A","short_pith_number":"pith:UTLFXJDF","canonical_record":{"source":{"id":"2002.10650","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-25T03:34:58Z","cross_cats_sorted":[],"title_canon_sha256":"e5305bb82159b6152211204cdfed1576fd5770fb3c9c254d3cac6c093bf3a840","abstract_canon_sha256":"b36c4e9a4fe8b5188ca27ddf37e4900ee3b9ad43607871e6411c571968dd3f8e"},"schema_version":"1.0"},"canonical_sha256":"a4d65ba4656472fbe459426f1d5e7ff013bbad6aeaf51fa1100a974218613f75","source":{"kind":"arxiv","id":"2002.10650","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.10650","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"arxiv_version","alias_value":"2002.10650v3","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.10650","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"pith_short_12","alias_value":"UTLFXJDFMRZP","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"pith_short_16","alias_value":"UTLFXJDFMRZPXZCZ","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"pith_short_8","alias_value":"UTLFXJDF","created_at":"2026-07-05T00:49:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:UTLFXJDFMRZPXZCZIJXR2XT76A","target":"record","payload":{"canonical_record":{"source":{"id":"2002.10650","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-25T03:34:58Z","cross_cats_sorted":[],"title_canon_sha256":"e5305bb82159b6152211204cdfed1576fd5770fb3c9c254d3cac6c093bf3a840","abstract_canon_sha256":"b36c4e9a4fe8b5188ca27ddf37e4900ee3b9ad43607871e6411c571968dd3f8e"},"schema_version":"1.0"},"canonical_sha256":"a4d65ba4656472fbe459426f1d5e7ff013bbad6aeaf51fa1100a974218613f75","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:49:09.800350Z","signature_b64":"o0Xz9ilJ4h/5rz2EjLvz2YdE1qFrCPtEyk5y7GidheAxe7fzE4wf1uescHTKcdhBO6uq2Sw7VuFXGyOCT60cCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4d65ba4656472fbe459426f1d5e7ff013bbad6aeaf51fa1100a974218613f75","last_reissued_at":"2026-07-05T00:49:09.799851Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:49:09.799851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.10650","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:49:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s/EnxYCCHmNhZcsEkN1nS5RD19+H/NGZegTup+QOvj07IVgmWwAVJtWWaYvjUxfhlth0D3Yq8pfry29wZwX9CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:24:09.944584Z"},"content_sha256":"de9abf79d1cc313df2d36ab7a0eb1d51af6ea0d0959a70c7c3985cbe243ca31d","schema_version":"1.0","event_id":"sha256:de9abf79d1cc313df2d36ab7a0eb1d51af6ea0d0959a70c7c3985cbe243ca31d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:UTLFXJDFMRZPXZCZIJXR2XT76A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Copy and Paste GAN: Face Hallucination from Shaded Thumbnails","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changhui Hu, Ivor Tsang, Xiaobo Lu, Xin Yu, Yang Zhang, Yawei Luo","submitted_at":"2020-02-25T03:34:58Z","abstract_excerpt":"Existing face hallucination methods based on convolutional neural networks (CNN) have achieved impressive performance on low-resolution (LR) faces in a normal illumination condition. However, their performance degrades dramatically when LR faces are captured in low or non-uniform illumination conditions. This paper proposes a Copy and Paste Generative Adversarial Network (CPGAN) to recover authentic high-resolution (HR) face images while compensating for low and non-uniform illumination. To this end, we develop two key components in our CPGAN: internal and external Copy and Paste nets (CPnets)"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.10650","kind":"arxiv","version":3},"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/2002.10650/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":"2026-07-05T00:49:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MyUt+1088axwsTPMy4z0Vv/ffoDwvovkW3yPDs/uiEiIMyu7AgUDGMF8UqBfkhreL/FBKH3czn8CLp8F/twWAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:24:09.945093Z"},"content_sha256":"12b50015b7dedb6711f7c08ad389eb6365e7e97ca954bd8b26ca0e27eb7fa30a","schema_version":"1.0","event_id":"sha256:12b50015b7dedb6711f7c08ad389eb6365e7e97ca954bd8b26ca0e27eb7fa30a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UTLFXJDFMRZPXZCZIJXR2XT76A/bundle.json","state_url":"https://pith.science/pith/UTLFXJDFMRZPXZCZIJXR2XT76A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UTLFXJDFMRZPXZCZIJXR2XT76A/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":"2026-08-07T18:24:09Z","links":{"resolver":"https://pith.science/pith/UTLFXJDFMRZPXZCZIJXR2XT76A","bundle":"https://pith.science/pith/UTLFXJDFMRZPXZCZIJXR2XT76A/bundle.json","state":"https://pith.science/pith/UTLFXJDFMRZPXZCZIJXR2XT76A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UTLFXJDFMRZPXZCZIJXR2XT76A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UTLFXJDFMRZPXZCZIJXR2XT76A","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":"b36c4e9a4fe8b5188ca27ddf37e4900ee3b9ad43607871e6411c571968dd3f8e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-25T03:34:58Z","title_canon_sha256":"e5305bb82159b6152211204cdfed1576fd5770fb3c9c254d3cac6c093bf3a840"},"schema_version":"1.0","source":{"id":"2002.10650","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.10650","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"arxiv_version","alias_value":"2002.10650v3","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.10650","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"pith_short_12","alias_value":"UTLFXJDFMRZP","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"pith_short_16","alias_value":"UTLFXJDFMRZPXZCZ","created_at":"2026-07-05T00:49:09Z"},{"alias_kind":"pith_short_8","alias_value":"UTLFXJDF","created_at":"2026-07-05T00:49:09Z"}],"graph_snapshots":[{"event_id":"sha256:12b50015b7dedb6711f7c08ad389eb6365e7e97ca954bd8b26ca0e27eb7fa30a","target":"graph","created_at":"2026-07-05T00:49:09Z","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/2002.10650/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing face hallucination methods based on convolutional neural networks (CNN) have achieved impressive performance on low-resolution (LR) faces in a normal illumination condition. However, their performance degrades dramatically when LR faces are captured in low or non-uniform illumination conditions. This paper proposes a Copy and Paste Generative Adversarial Network (CPGAN) to recover authentic high-resolution (HR) face images while compensating for low and non-uniform illumination. To this end, we develop two key components in our CPGAN: internal and external Copy and Paste nets (CPnets)","authors_text":"Changhui Hu, Ivor Tsang, Xiaobo Lu, Xin Yu, Yang Zhang, Yawei Luo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-25T03:34:58Z","title":"Copy and Paste GAN: Face Hallucination from Shaded Thumbnails"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.10650","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:de9abf79d1cc313df2d36ab7a0eb1d51af6ea0d0959a70c7c3985cbe243ca31d","target":"record","created_at":"2026-07-05T00:49:09Z","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":"b36c4e9a4fe8b5188ca27ddf37e4900ee3b9ad43607871e6411c571968dd3f8e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-25T03:34:58Z","title_canon_sha256":"e5305bb82159b6152211204cdfed1576fd5770fb3c9c254d3cac6c093bf3a840"},"schema_version":"1.0","source":{"id":"2002.10650","kind":"arxiv","version":3}},"canonical_sha256":"a4d65ba4656472fbe459426f1d5e7ff013bbad6aeaf51fa1100a974218613f75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4d65ba4656472fbe459426f1d5e7ff013bbad6aeaf51fa1100a974218613f75","first_computed_at":"2026-07-05T00:49:09.799851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:49:09.799851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o0Xz9ilJ4h/5rz2EjLvz2YdE1qFrCPtEyk5y7GidheAxe7fzE4wf1uescHTKcdhBO6uq2Sw7VuFXGyOCT60cCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:49:09.800350Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.10650","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de9abf79d1cc313df2d36ab7a0eb1d51af6ea0d0959a70c7c3985cbe243ca31d","sha256:12b50015b7dedb6711f7c08ad389eb6365e7e97ca954bd8b26ca0e27eb7fa30a"],"state_sha256":"247c18069827bca3b1f9904440dd195a4bfe6d7da9a3f4399161d91d973156bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+udvn+/CNndKPnzWUxEHHY0UR+ENSXVh1MDDgtXVTBWEl3MaBDcBu61eCSp/EpW92/8G/+nL/T6fCgv3fbfTAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:24:09.950556Z","bundle_sha256":"af37fd57f9b5e7b9bb0f23bd3d1f8a180117c557232dd6df2f3f6ae0f9674f8c"}}