{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:XKJ6NMJJPJW4OXYI4TBAPXFQ34","short_pith_number":"pith:XKJ6NMJJ","canonical_record":{"source":{"id":"2104.11599","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-23T13:47:20Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e69bf2f47c2b965f5d250ec5e61fd06f9e98615523493d3f5774bcaaba7f2851","abstract_canon_sha256":"4532aa91cbab928dd7f85457aed7ce2a5d08b1d00ac149504841267cc751b2a8"},"schema_version":"1.0"},"canonical_sha256":"ba93e6b1297a6dc75f08e4c207dcb0df107fa6df457dab05d415a976c4fda9d2","source":{"kind":"arxiv","id":"2104.11599","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.11599","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"arxiv_version","alias_value":"2104.11599v1","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.11599","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"pith_short_12","alias_value":"XKJ6NMJJPJW4","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"pith_short_16","alias_value":"XKJ6NMJJPJW4OXYI","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"pith_short_8","alias_value":"XKJ6NMJJ","created_at":"2026-07-05T02:34:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:XKJ6NMJJPJW4OXYI4TBAPXFQ34","target":"record","payload":{"canonical_record":{"source":{"id":"2104.11599","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-23T13:47:20Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e69bf2f47c2b965f5d250ec5e61fd06f9e98615523493d3f5774bcaaba7f2851","abstract_canon_sha256":"4532aa91cbab928dd7f85457aed7ce2a5d08b1d00ac149504841267cc751b2a8"},"schema_version":"1.0"},"canonical_sha256":"ba93e6b1297a6dc75f08e4c207dcb0df107fa6df457dab05d415a976c4fda9d2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:34:33.685586Z","signature_b64":"GnYeT5hdwFUdeg12w3qZzNlzyIbijwLM5PMmq2FJTbgm20cPi1ueyHBDwnMkwu69zh1KJnzL8lOWASrqUe0rAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba93e6b1297a6dc75f08e4c207dcb0df107fa6df457dab05d415a976c4fda9d2","last_reissued_at":"2026-07-05T02:34:33.685080Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:34:33.685080Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.11599","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":"2026-07-05T02:34:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N3ZWonN8+C3ZIBQagMdXomBmEIEb7MZ0lVA+v6fgDAaqMr40BN2fRXzUwTP3NaFU4etbory14wJPMQ5l6r9JCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T03:36:55.670208Z"},"content_sha256":"9529a65358aa7b670f1c34d6198c3a29750dfd1580f40298ff8bebcea72f3f12","schema_version":"1.0","event_id":"sha256:9529a65358aa7b670f1c34d6198c3a29750dfd1580f40298ff8bebcea72f3f12"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:XKJ6NMJJPJW4OXYI4TBAPXFQ34","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Region-Adaptive Deformable Network for Image Quality Assessment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Jiahao Wang, Mingdeng Cao, Qingyan Bai, Shuwei Shi, Weihao Xia, Yifan Chen, Yujiu Yang","submitted_at":"2021-04-23T13:47:20Z","abstract_excerpt":"Image quality assessment (IQA) aims to assess the perceptual quality of images. The outputs of the IQA algorithms are expected to be consistent with human subjective perception. In image restoration and enhancement tasks, images generated by generative adversarial networks (GAN) can achieve better visual performance than traditional CNN-generated images, although they have spatial shift and texture noise. Unfortunately, the existing IQA methods have unsatisfactory performance on the GAN-based distortion partially because of their low tolerance to spatial misalignment. To this end, we propose t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.11599","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/2104.11599/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":"2026-07-05T02:34:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mSgmVPjsaU3vUF3lIkgIriSPQHMdtuZG82E+UP2PFQ80LmfrfIEc6IhqdHsC0YSEC7rqLRHqzNOfquvTeOgrDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T03:36:55.670714Z"},"content_sha256":"82ce9deee4070a2ae126ec352bde618cfc0c79979714ffbeb9084c0a0f4f6951","schema_version":"1.0","event_id":"sha256:82ce9deee4070a2ae126ec352bde618cfc0c79979714ffbeb9084c0a0f4f6951"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XKJ6NMJJPJW4OXYI4TBAPXFQ34/bundle.json","state_url":"https://pith.science/pith/XKJ6NMJJPJW4OXYI4TBAPXFQ34/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XKJ6NMJJPJW4OXYI4TBAPXFQ34/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":"2026-08-23T03:36:55Z","links":{"resolver":"https://pith.science/pith/XKJ6NMJJPJW4OXYI4TBAPXFQ34","bundle":"https://pith.science/pith/XKJ6NMJJPJW4OXYI4TBAPXFQ34/bundle.json","state":"https://pith.science/pith/XKJ6NMJJPJW4OXYI4TBAPXFQ34/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XKJ6NMJJPJW4OXYI4TBAPXFQ34/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:XKJ6NMJJPJW4OXYI4TBAPXFQ34","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":"4532aa91cbab928dd7f85457aed7ce2a5d08b1d00ac149504841267cc751b2a8","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-23T13:47:20Z","title_canon_sha256":"e69bf2f47c2b965f5d250ec5e61fd06f9e98615523493d3f5774bcaaba7f2851"},"schema_version":"1.0","source":{"id":"2104.11599","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.11599","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"arxiv_version","alias_value":"2104.11599v1","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.11599","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"pith_short_12","alias_value":"XKJ6NMJJPJW4","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"pith_short_16","alias_value":"XKJ6NMJJPJW4OXYI","created_at":"2026-07-05T02:34:33Z"},{"alias_kind":"pith_short_8","alias_value":"XKJ6NMJJ","created_at":"2026-07-05T02:34:33Z"}],"graph_snapshots":[{"event_id":"sha256:82ce9deee4070a2ae126ec352bde618cfc0c79979714ffbeb9084c0a0f4f6951","target":"graph","created_at":"2026-07-05T02:34:33Z","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/2104.11599/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image quality assessment (IQA) aims to assess the perceptual quality of images. The outputs of the IQA algorithms are expected to be consistent with human subjective perception. In image restoration and enhancement tasks, images generated by generative adversarial networks (GAN) can achieve better visual performance than traditional CNN-generated images, although they have spatial shift and texture noise. Unfortunately, the existing IQA methods have unsatisfactory performance on the GAN-based distortion partially because of their low tolerance to spatial misalignment. To this end, we propose t","authors_text":"Jiahao Wang, Mingdeng Cao, Qingyan Bai, Shuwei Shi, Weihao Xia, Yifan Chen, Yujiu Yang","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-23T13:47:20Z","title":"Region-Adaptive Deformable Network for Image Quality Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.11599","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":"sha256:9529a65358aa7b670f1c34d6198c3a29750dfd1580f40298ff8bebcea72f3f12","target":"record","created_at":"2026-07-05T02:34:33Z","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":"4532aa91cbab928dd7f85457aed7ce2a5d08b1d00ac149504841267cc751b2a8","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-23T13:47:20Z","title_canon_sha256":"e69bf2f47c2b965f5d250ec5e61fd06f9e98615523493d3f5774bcaaba7f2851"},"schema_version":"1.0","source":{"id":"2104.11599","kind":"arxiv","version":1}},"canonical_sha256":"ba93e6b1297a6dc75f08e4c207dcb0df107fa6df457dab05d415a976c4fda9d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba93e6b1297a6dc75f08e4c207dcb0df107fa6df457dab05d415a976c4fda9d2","first_computed_at":"2026-07-05T02:34:33.685080Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:34:33.685080Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GnYeT5hdwFUdeg12w3qZzNlzyIbijwLM5PMmq2FJTbgm20cPi1ueyHBDwnMkwu69zh1KJnzL8lOWASrqUe0rAg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:34:33.685586Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.11599","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9529a65358aa7b670f1c34d6198c3a29750dfd1580f40298ff8bebcea72f3f12","sha256:82ce9deee4070a2ae126ec352bde618cfc0c79979714ffbeb9084c0a0f4f6951"],"state_sha256":"9b6c80bee0493829f4950c6140723126934cff4dd3146722276ddca8e63e6278"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c325Osm5jqZnDXqFYD/z2bobNM7UnxSqrB1EZ8nDhYb87VqLY1/I3bxX+z6mplRPcpg9trHRv2I/1ENA10XuDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T03:36:55.674467Z","bundle_sha256":"d2506f5dcebd6b7111091135ae53b28cd97fac66861cffae80f1024f3e9b82f8"}}