{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SK6AO4M7M4JSTCHTV5UM2CP467","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":"c79b0381f3682f093978284d9d778db671fa075192534555714895e2cd4ff586","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-22T13:38:24Z","title_canon_sha256":"b42e0626a018a70303f415df6716321410b9149b50944fb773cb59ebe31de4c8"},"schema_version":"1.0","source":{"id":"2401.11949","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.11949","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"arxiv_version","alias_value":"2401.11949v1","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.11949","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_12","alias_value":"SK6AO4M7M4JS","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_16","alias_value":"SK6AO4M7M4JSTCHT","created_at":"2026-07-05T07:36:12Z"},{"alias_kind":"pith_short_8","alias_value":"SK6AO4M7","created_at":"2026-07-05T07:36:12Z"}],"graph_snapshots":[{"event_id":"sha256:fa1b93b4f193bf9aa62637847fec2aaf53593dbd67576a9628fb05f5e7ff8890","target":"graph","created_at":"2026-07-05T07:36:12Z","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/2401.11949/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Blind Image Quality Assessment (BIQA) aims to evaluate image quality in line with human perception, without reference benchmarks. Currently, deep learning BIQA methods typically depend on using features from high-level tasks for transfer learning. However, the inherent differences between BIQA and these high-level tasks inevitably introduce noise into the quality-aware features. In this paper, we take an initial step towards exploring the diffusion model for feature denoising in BIQA, namely Perceptual Feature Diffusion for IQA (PFD-IQA), which aims to remove noise from quality-aware features.","authors_text":"Jingyuan Zheng, Ke Li, Pingyang Dai, Rongrong Ji, Runze Hu, Shengchuan Zhang, Xiawu Zheng, Xudong Li, Yan Zhang, Yunhang Shen, Yutao Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-22T13:38:24Z","title":"Feature Denoising Diffusion Model for Blind Image Quality Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.11949","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":"sha256:0f14c8bb0b99899cbc8d158c764d12506dba6906a54864b6129f1d95c3d32728","target":"record","created_at":"2026-07-05T07:36:12Z","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":"c79b0381f3682f093978284d9d778db671fa075192534555714895e2cd4ff586","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-22T13:38:24Z","title_canon_sha256":"b42e0626a018a70303f415df6716321410b9149b50944fb773cb59ebe31de4c8"},"schema_version":"1.0","source":{"id":"2401.11949","kind":"arxiv","version":1}},"canonical_sha256":"92bc07719f67132988f3af68cd09fcf7f1d3f989ef07ea59a8853c416e7a72ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92bc07719f67132988f3af68cd09fcf7f1d3f989ef07ea59a8853c416e7a72ad","first_computed_at":"2026-07-05T07:36:12.761180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:36:12.761180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1/jASGUc6qHPLoDpG2pJyp7jTZO3ui6VMsRyDbxX9VDJPLKBNmODa+c0gQLIh5ZM8TN2KOP+XcB5Qq5XPC5cDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:36:12.761716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.11949","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f14c8bb0b99899cbc8d158c764d12506dba6906a54864b6129f1d95c3d32728","sha256:fa1b93b4f193bf9aa62637847fec2aaf53593dbd67576a9628fb05f5e7ff8890"],"state_sha256":"4a6664ce8559ad9a88ab665bc5b94260fafd483fa7754525322485be65474b1e"}