{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:RFQUQX7OENWCTUYVQLMOMEO77Y","short_pith_number":"pith:RFQUQX7O","canonical_record":{"source":{"id":"2106.16028","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-30T12:53:02Z","cross_cats_sorted":[],"title_canon_sha256":"16b51dcc68a1f9a3e0f791002e80f9def0f9742ea9b04f3b0f8b95f46582bfba","abstract_canon_sha256":"163ef2378aefe35c83cd997ffc492b75bc710ac9e9e49ff8ae1f4747c7e5c2a4"},"schema_version":"1.0"},"canonical_sha256":"8961485fee236c29d31582d8e611dffe2897977bc5a5b068398204d840ab3dc2","source":{"kind":"arxiv","id":"2106.16028","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.16028","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"arxiv_version","alias_value":"2106.16028v2","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.16028","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"pith_short_12","alias_value":"RFQUQX7OENWC","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"pith_short_16","alias_value":"RFQUQX7OENWCTUYV","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"pith_short_8","alias_value":"RFQUQX7O","created_at":"2026-07-05T05:06:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:RFQUQX7OENWCTUYVQLMOMEO77Y","target":"record","payload":{"canonical_record":{"source":{"id":"2106.16028","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-30T12:53:02Z","cross_cats_sorted":[],"title_canon_sha256":"16b51dcc68a1f9a3e0f791002e80f9def0f9742ea9b04f3b0f8b95f46582bfba","abstract_canon_sha256":"163ef2378aefe35c83cd997ffc492b75bc710ac9e9e49ff8ae1f4747c7e5c2a4"},"schema_version":"1.0"},"canonical_sha256":"8961485fee236c29d31582d8e611dffe2897977bc5a5b068398204d840ab3dc2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:06:51.276968Z","signature_b64":"KiiSH9C1xsb6IcagL5nDGePfmrToQrOyx8c/BRZDmsO7Rl6NPX/BLK32nAtLEhJL6TU98J5u5EvrI6h0hHiUCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8961485fee236c29d31582d8e611dffe2897977bc5a5b068398204d840ab3dc2","last_reissued_at":"2026-07-05T05:06:51.276580Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:06:51.276580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.16028","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:06:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l+AZAf5AXQOxNp6jkUTurWOaUYKsinVTPvhUs0DIEtcTlxsjkc0r3yKcoYk4CjYXfy7tYC9VVThI/MSBs2z7AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T16:50:42.902283Z"},"content_sha256":"84c7432a931d95739a88bf125444aa062dc71b2d1d2466313862ddb9adc224d3","schema_version":"1.0","event_id":"sha256:84c7432a931d95739a88bf125444aa062dc71b2d1d2466313862ddb9adc224d3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:RFQUQX7OENWCTUYVQLMOMEO77Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Zheng, Imari Sato, Ye Gao, Yinqiang Zheng, Zhihang Zhong","submitted_at":"2021-06-30T12:53:02Z","abstract_excerpt":"Real-world video deblurring in real time still remains a challenging task due to the complexity of spatially and temporally varying blur itself and the requirement of low computational cost. To improve the network efficiency, we adopt residual dense blocks into RNN cells, so as to efficiently extract the spatial features of the current frame. Furthermore, a global spatio-temporal attention module is proposed to fuse the effective hierarchical features from past and future frames to help better deblur the current frame. Another issue that needs to be addressed urgently is the lack of a real-wor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.16028","kind":"arxiv","version":2},"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/2106.16028/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":"2026-07-05T05:06:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Ldl5x0ArsuTiaFWNknkc22ihqJ9Jt4hoYkQ2Kv/SV7JIdel0WMqgTd81uwauvk1oxFIKadmFnHRkvDObfdWAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T16:50:42.902675Z"},"content_sha256":"ac35405f02143b7163253cb108dca727427c628ee4354d2d3da16fb9968bfdea","schema_version":"1.0","event_id":"sha256:ac35405f02143b7163253cb108dca727427c628ee4354d2d3da16fb9968bfdea"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RFQUQX7OENWCTUYVQLMOMEO77Y/bundle.json","state_url":"https://pith.science/pith/RFQUQX7OENWCTUYVQLMOMEO77Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RFQUQX7OENWCTUYVQLMOMEO77Y/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":"2026-07-13T16:50:42Z","links":{"resolver":"https://pith.science/pith/RFQUQX7OENWCTUYVQLMOMEO77Y","bundle":"https://pith.science/pith/RFQUQX7OENWCTUYVQLMOMEO77Y/bundle.json","state":"https://pith.science/pith/RFQUQX7OENWCTUYVQLMOMEO77Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RFQUQX7OENWCTUYVQLMOMEO77Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:RFQUQX7OENWCTUYVQLMOMEO77Y","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":"163ef2378aefe35c83cd997ffc492b75bc710ac9e9e49ff8ae1f4747c7e5c2a4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-30T12:53:02Z","title_canon_sha256":"16b51dcc68a1f9a3e0f791002e80f9def0f9742ea9b04f3b0f8b95f46582bfba"},"schema_version":"1.0","source":{"id":"2106.16028","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.16028","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"arxiv_version","alias_value":"2106.16028v2","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.16028","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"pith_short_12","alias_value":"RFQUQX7OENWC","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"pith_short_16","alias_value":"RFQUQX7OENWCTUYV","created_at":"2026-07-05T05:06:51Z"},{"alias_kind":"pith_short_8","alias_value":"RFQUQX7O","created_at":"2026-07-05T05:06:51Z"}],"graph_snapshots":[{"event_id":"sha256:ac35405f02143b7163253cb108dca727427c628ee4354d2d3da16fb9968bfdea","target":"graph","created_at":"2026-07-05T05:06:51Z","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/2106.16028/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world video deblurring in real time still remains a challenging task due to the complexity of spatially and temporally varying blur itself and the requirement of low computational cost. To improve the network efficiency, we adopt residual dense blocks into RNN cells, so as to efficiently extract the spatial features of the current frame. Furthermore, a global spatio-temporal attention module is proposed to fuse the effective hierarchical features from past and future frames to help better deblur the current frame. Another issue that needs to be addressed urgently is the lack of a real-wor","authors_text":"Bo Zheng, Imari Sato, Ye Gao, Yinqiang Zheng, Zhihang Zhong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-30T12:53:02Z","title":"Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.16028","kind":"arxiv","version":2},"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":"sha256:84c7432a931d95739a88bf125444aa062dc71b2d1d2466313862ddb9adc224d3","target":"record","created_at":"2026-07-05T05:06:51Z","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":"163ef2378aefe35c83cd997ffc492b75bc710ac9e9e49ff8ae1f4747c7e5c2a4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-30T12:53:02Z","title_canon_sha256":"16b51dcc68a1f9a3e0f791002e80f9def0f9742ea9b04f3b0f8b95f46582bfba"},"schema_version":"1.0","source":{"id":"2106.16028","kind":"arxiv","version":2}},"canonical_sha256":"8961485fee236c29d31582d8e611dffe2897977bc5a5b068398204d840ab3dc2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8961485fee236c29d31582d8e611dffe2897977bc5a5b068398204d840ab3dc2","first_computed_at":"2026-07-05T05:06:51.276580Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:06:51.276580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KiiSH9C1xsb6IcagL5nDGePfmrToQrOyx8c/BRZDmsO7Rl6NPX/BLK32nAtLEhJL6TU98J5u5EvrI6h0hHiUCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:06:51.276968Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.16028","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:84c7432a931d95739a88bf125444aa062dc71b2d1d2466313862ddb9adc224d3","sha256:ac35405f02143b7163253cb108dca727427c628ee4354d2d3da16fb9968bfdea"],"state_sha256":"a4f9ec4e7fb058aea8885e3716c25ce2d63b9c3894ee7111fe70d34e04e438bd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LE5FeGwfpaim//leMIEMTuwgtlt/HzUk9BNIhA0KG2cu9SfgPG25b23Ztot/dd301RR+DPmGLOK/W9zqKVngDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T16:50:42.904766Z","bundle_sha256":"0cbd0dfb22644674a6479f178d27efc5a876e78599929857c2f226b059f5ea1e"}}