{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EJKP2TSTN3KI3OOFLBGKPVNM3P","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":"abd36f52e0cedf284837ad2c706b05e1f91f4efdfabff57ab92c50057b4884ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-06T03:00:40Z","title_canon_sha256":"1c52eaa0def6cb702c2a8fea18990c99f0a8f20291104762c643423885feab6e"},"schema_version":"1.0","source":{"id":"1802.01770","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.01770","created_at":"2026-05-18T00:24:21Z"},{"alias_kind":"arxiv_version","alias_value":"1802.01770v1","created_at":"2026-05-18T00:24:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.01770","created_at":"2026-05-18T00:24:21Z"},{"alias_kind":"pith_short_12","alias_value":"EJKP2TSTN3KI","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EJKP2TSTN3KI3OOF","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EJKP2TST","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:b04403ce58f8eb1f6bc8f28c86daf38fad87aa52ecccae600f9102edb47787a7","target":"graph","created_at":"2026-05-18T00:24:21Z","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"},"paper":{"abstract_excerpt":"In single image deblurring, the \"coarse-to-fine\" scheme, i.e. gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional optimization-based methods and recent neural-network-based approaches. In this paper, we investigate this strategy and propose a Scale-recurrent Network (SRN-DeblurNet) for this deblurring task. Compared with the many recent learning-based approaches in [25], it has a simpler network structure, a smaller number of parameters and is easier to train. We evaluate our method on large-scale deblurring datasets with complex mo","authors_text":"Hongyun Gao, Jiaya Jia, Jue Wang, Xiaoyong Shen, Xin Tao, Yi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-06T03:00:40Z","title":"Scale-recurrent Network for Deep Image Deblurring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.01770","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":"sha256:9d58b52ec1796f7ce7ed7e13d02f5b5c2d65464b1a947192b573f93371e89423","target":"record","created_at":"2026-05-18T00:24:21Z","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":"abd36f52e0cedf284837ad2c706b05e1f91f4efdfabff57ab92c50057b4884ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-02-06T03:00:40Z","title_canon_sha256":"1c52eaa0def6cb702c2a8fea18990c99f0a8f20291104762c643423885feab6e"},"schema_version":"1.0","source":{"id":"1802.01770","kind":"arxiv","version":1}},"canonical_sha256":"2254fd4e536ed48db9c5584ca7d5acdbf1d7e661a0b727d89dda7e625469245a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2254fd4e536ed48db9c5584ca7d5acdbf1d7e661a0b727d89dda7e625469245a","first_computed_at":"2026-05-18T00:24:21.337593Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:21.337593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NUpvsHF/f6ekmATu4nr6lQqBWEpSF9DzyCYMZsjRke/77QaKMWPK63NiDE1jnTIA0D6vfaAd0NUgu+6rJmriDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:21.338015Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.01770","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d58b52ec1796f7ce7ed7e13d02f5b5c2d65464b1a947192b573f93371e89423","sha256:b04403ce58f8eb1f6bc8f28c86daf38fad87aa52ecccae600f9102edb47787a7"],"state_sha256":"f2c0990e73e5a6ab826bb907044d20dee7ddc6f674e64a68177984f898a928aa"}