{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:XA4VIR3ZUBOZIOSQ5FKW2HWE54","short_pith_number":"pith:XA4VIR3Z","schema_version":"1.0","canonical_sha256":"b839544779a05d943a50e9556d1ec4ef1c4c4cdb4db27b93ea07629b654cd198","source":{"kind":"arxiv","id":"2203.16063","version":2},"attestation_state":"computed","paper":{"title":"Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Joonkyu Park, Kyoung Mu Lee, Seungjun Nah","submitted_at":"2022-03-30T05:21:05Z","abstract_excerpt":"Video deblurring models exploit information in the neighboring frames to remove blur caused by the motion of the camera and the objects. Recurrent Neural Networks~(RNNs) are often adopted to model the temporal dependency between frames via hidden states. When motion blur is strong, however, hidden states are hard to deliver proper information due to the displacement between different frames. While there have been attempts to update the hidden states, it is difficult to handle misaligned features beyond the receptive field of simple modules. Thus, we propose 2 modules to supplement the RNN arch"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2203.16063","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-30T05:21:05Z","cross_cats_sorted":[],"title_canon_sha256":"65d6fcf0fa49a71bf06cadbeda78ec499a9ae9d55476c27d47bca35c7662491f","abstract_canon_sha256":"a280fb3900ca552624968bec07b97fba3c935bd7e3c4255d12e9547659e5d2eb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:12:18.447541Z","signature_b64":"A6fAfh00qLV9jL/HKzFMHAXXmnZ1I7OGmyV5rb9776ubK2HVFGfIf/8/z5+CNoHeYswUE4DNWN2m+RSRxexfAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b839544779a05d943a50e9556d1ec4ef1c4c4cdb4db27b93ea07629b654cd198","last_reissued_at":"2026-07-05T04:12:18.447138Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:12:18.447138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Pay Attention to Hidden States for Video Deblurring: Ping-Pong Recurrent Neural Networks and Selective Non-Local Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Joonkyu Park, Kyoung Mu Lee, Seungjun Nah","submitted_at":"2022-03-30T05:21:05Z","abstract_excerpt":"Video deblurring models exploit information in the neighboring frames to remove blur caused by the motion of the camera and the objects. Recurrent Neural Networks~(RNNs) are often adopted to model the temporal dependency between frames via hidden states. When motion blur is strong, however, hidden states are hard to deliver proper information due to the displacement between different frames. While there have been attempts to update the hidden states, it is difficult to handle misaligned features beyond the receptive field of simple modules. Thus, we propose 2 modules to supplement the RNN arch"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.16063","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/2203.16063/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2203.16063","created_at":"2026-07-05T04:12:18.447196+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.16063v2","created_at":"2026-07-05T04:12:18.447196+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.16063","created_at":"2026-07-05T04:12:18.447196+00:00"},{"alias_kind":"pith_short_12","alias_value":"XA4VIR3ZUBOZ","created_at":"2026-07-05T04:12:18.447196+00:00"},{"alias_kind":"pith_short_16","alias_value":"XA4VIR3ZUBOZIOSQ","created_at":"2026-07-05T04:12:18.447196+00:00"},{"alias_kind":"pith_short_8","alias_value":"XA4VIR3Z","created_at":"2026-07-05T04:12:18.447196+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54","json":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54.json","graph_json":"https://pith.science/api/pith-number/XA4VIR3ZUBOZIOSQ5FKW2HWE54/graph.json","events_json":"https://pith.science/api/pith-number/XA4VIR3ZUBOZIOSQ5FKW2HWE54/events.json","paper":"https://pith.science/paper/XA4VIR3Z"},"agent_actions":{"view_html":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54","download_json":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54.json","view_paper":"https://pith.science/paper/XA4VIR3Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.16063&json=true","fetch_graph":"https://pith.science/api/pith-number/XA4VIR3ZUBOZIOSQ5FKW2HWE54/graph.json","fetch_events":"https://pith.science/api/pith-number/XA4VIR3ZUBOZIOSQ5FKW2HWE54/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54/action/storage_attestation","attest_author":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54/action/author_attestation","sign_citation":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54/action/citation_signature","submit_replication":"https://pith.science/pith/XA4VIR3ZUBOZIOSQ5FKW2HWE54/action/replication_record"}},"created_at":"2026-07-05T04:12:18.447196+00:00","updated_at":"2026-07-05T04:12:18.447196+00:00"}