{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KIRRN2N3WE3GG6OIP4I5OPCSVB","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":"971ef704b9a0a797c37cc10d28d526041a1453ecb153d5bc6c4e7048751d7eaf","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-01-06T02:05:32Z","title_canon_sha256":"290139d7f85627b3b947ee652dc451c2a58b6872edb122c59c2771ebdc99a11b"},"schema_version":"1.0","source":{"id":"2201.01893","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.01893","created_at":"2026-07-05T04:27:10Z"},{"alias_kind":"arxiv_version","alias_value":"2201.01893v3","created_at":"2026-07-05T04:27:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.01893","created_at":"2026-07-05T04:27:10Z"},{"alias_kind":"pith_short_12","alias_value":"KIRRN2N3WE3G","created_at":"2026-07-05T04:27:10Z"},{"alias_kind":"pith_short_16","alias_value":"KIRRN2N3WE3GG6OI","created_at":"2026-07-05T04:27:10Z"},{"alias_kind":"pith_short_8","alias_value":"KIRRN2N3","created_at":"2026-07-05T04:27:10Z"}],"graph_snapshots":[{"event_id":"sha256:201f944e6b76d19370960efb944cab3e68a8626a60807b51de4b8686b64629e7","target":"graph","created_at":"2026-07-05T04:27:10Z","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/2201.01893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Exploiting similar and sharper scene patches in spatio-temporal neighborhoods is critical for video deblurring. However, CNN-based methods show limitations in capturing long-range dependencies and modeling non-local self-similarity. In this paper, we propose a novel framework, Flow-Guided Sparse Transformer (FGST), for video deblurring. In FGST, we customize a self-attention module, Flow-Guided Sparse Window-based Multi-head Self-Attention (FGSW-MSA). For each $query$ element on the blurry reference frame, FGSW-MSA enjoys the guidance of the estimated optical flow to globally sample spatially ","authors_text":"Haoqian Wang, Henghui Ding, Jing Lin, Luc Van Gool, Radu Timofte, XiaoWan Hu, Xueyi Zou, Youliang Yan, Yuanhao Cai, Yulun Zhang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-01-06T02:05:32Z","title":"Flow-Guided Sparse Transformer for Video Deblurring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.01893","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":"sha256:9a95641eb8ac0ed74f5b0aaabbab5e6b675629aab795c21d6e5219ace4011b5f","target":"record","created_at":"2026-07-05T04:27:10Z","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":"971ef704b9a0a797c37cc10d28d526041a1453ecb153d5bc6c4e7048751d7eaf","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-01-06T02:05:32Z","title_canon_sha256":"290139d7f85627b3b947ee652dc451c2a58b6872edb122c59c2771ebdc99a11b"},"schema_version":"1.0","source":{"id":"2201.01893","kind":"arxiv","version":3}},"canonical_sha256":"522316e9bbb1366379c87f11d73c52a86c830ab626413fb964cd043f8549a6b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"522316e9bbb1366379c87f11d73c52a86c830ab626413fb964cd043f8549a6b4","first_computed_at":"2026-07-05T04:27:10.216789Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:27:10.216789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3ZYMn6iz+dl0Pfy+yq+eiyj+TPSvXkhMR3tTjUD5Q4OOu2i7tgXJRIZj8VXl2OFUAkWtWuOxdqcvkBs9hD6hAg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:27:10.217334Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.01893","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a95641eb8ac0ed74f5b0aaabbab5e6b675629aab795c21d6e5219ace4011b5f","sha256:201f944e6b76d19370960efb944cab3e68a8626a60807b51de4b8686b64629e7"],"state_sha256":"66118a980ba1eebb9f91a80deb0d47fbf5b7a30f1d46c8774d44cd445fac9e69"}