{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:E2CG35DYTBQQBPVCBCTXXB4ESE","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":"5a179a261f88017ff247676670237a1c9e46c5f673261002be2d303a3d026c64","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-26T09:12:30Z","title_canon_sha256":"555c3b01032c965835978e493cf9a3aaa69be0bcd7822a2da42a55f9750c6f8c"},"schema_version":"1.0","source":{"id":"2407.18613","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.18613","created_at":"2026-07-05T08:48:52Z"},{"alias_kind":"arxiv_version","alias_value":"2407.18613v1","created_at":"2026-07-05T08:48:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.18613","created_at":"2026-07-05T08:48:52Z"},{"alias_kind":"pith_short_12","alias_value":"E2CG35DYTBQQ","created_at":"2026-07-05T08:48:52Z"},{"alias_kind":"pith_short_16","alias_value":"E2CG35DYTBQQBPVC","created_at":"2026-07-05T08:48:52Z"},{"alias_kind":"pith_short_8","alias_value":"E2CG35DY","created_at":"2026-07-05T08:48:52Z"}],"graph_snapshots":[{"event_id":"sha256:40b0d0d3e9880af4e198785cdbce52400355b0c9b77e618ea6a55f059f9ebfef","target":"graph","created_at":"2026-07-05T08:48:52Z","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/2407.18613/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image restoration is a long-standing task that seeks to recover the latent sharp image from its deteriorated counterpart. Due to the robust capacity of self-attention to capture long-range dependencies, transformer-based methods or some attention-based convolutional neural networks have demonstrated promising results on many image restoration tasks in recent years. However, existing attention modules encounters limited receptive fields or abundant parameters. In order to integrate contextual information more effectively and efficiently, in this paper, we propose a dilated strip attention netwo","authors_text":"Fangwei Hao, Ji Du, Jiesheng Wu, Jing Xu, Yinjie Wang","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-26T09:12:30Z","title":"Dilated Strip Attention Network for Image Restoration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.18613","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":"sha256:7f9ab683e75e0c0b7646a5642b5624a6addd552e16dab3148fd247b49d6d326a","target":"record","created_at":"2026-07-05T08:48:52Z","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":"5a179a261f88017ff247676670237a1c9e46c5f673261002be2d303a3d026c64","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-26T09:12:30Z","title_canon_sha256":"555c3b01032c965835978e493cf9a3aaa69be0bcd7822a2da42a55f9750c6f8c"},"schema_version":"1.0","source":{"id":"2407.18613","kind":"arxiv","version":1}},"canonical_sha256":"26846df478986100bea208a77b878491354b4b7900b9c5ece30da35c737f5f69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26846df478986100bea208a77b878491354b4b7900b9c5ece30da35c737f5f69","first_computed_at":"2026-07-05T08:48:52.243613Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:48:52.243613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6FkIb0OqAUsJqkGKdZbsxkhNyBOUykrbBZuKse1MFKfMHGw9Xi837BaC6aX7CaXTp+2HrFcMMfYXzqRSoichAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:48:52.244018Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.18613","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f9ab683e75e0c0b7646a5642b5624a6addd552e16dab3148fd247b49d6d326a","sha256:40b0d0d3e9880af4e198785cdbce52400355b0c9b77e618ea6a55f059f9ebfef"],"state_sha256":"c5eecd5efcbe630c0e31e2f3afaf4cbd921263588b9dede81014c715253026d5"}