{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:APK2XV6PPJ33Y2UEDA747XZO22","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":"57e066881f7e88730a698f64a7f3b2269abc3779784afa9718cdf0d3140f7174","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-16T17:33:54Z","title_canon_sha256":"81fdf6e41f098de7f14fec89c898f2a3694d55b4abc638c73a7bfd47e89c9126"},"schema_version":"1.0","source":{"id":"2401.08522","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08522","created_at":"2026-07-05T07:34:13Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08522v1","created_at":"2026-07-05T07:34:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08522","created_at":"2026-07-05T07:34:13Z"},{"alias_kind":"pith_short_12","alias_value":"APK2XV6PPJ33","created_at":"2026-07-05T07:34:13Z"},{"alias_kind":"pith_short_16","alias_value":"APK2XV6PPJ33Y2UE","created_at":"2026-07-05T07:34:13Z"},{"alias_kind":"pith_short_8","alias_value":"APK2XV6P","created_at":"2026-07-05T07:34:13Z"}],"graph_snapshots":[{"event_id":"sha256:ad4a0247710341fe432b91de8f4da2074088d0554cc9fc3be1c20cf24b2e747a","target":"graph","created_at":"2026-07-05T07:34:13Z","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/2401.08522/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The objective of non-reference video quality assessment is to evaluate the quality of distorted video without access to reference high-definition references. In this study, we introduce an enhanced spatial perception module, pre-trained on multiple image quality assessment datasets, and a lightweight temporal fusion module to address the no-reference visual quality assessment (NR-VQA) task. This model implements Swin Transformer V2 as a local-level spatial feature extractor and fuses these multi-stage representations through a series of transformer layers. Furthermore, a temporal transformer i","authors_text":"Fengbin Guan, Xin Li, Yiting Lu, Zhibo Chen, Zihao Yu","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-16T17:33:54Z","title":"Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08522","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:a72857f978597a83eb0c8896e25a4da2d3eaaaa9b5e8c673aabfe4079cc44e11","target":"record","created_at":"2026-07-05T07:34:13Z","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":"57e066881f7e88730a698f64a7f3b2269abc3779784afa9718cdf0d3140f7174","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-16T17:33:54Z","title_canon_sha256":"81fdf6e41f098de7f14fec89c898f2a3694d55b4abc638c73a7bfd47e89c9126"},"schema_version":"1.0","source":{"id":"2401.08522","kind":"arxiv","version":1}},"canonical_sha256":"03d5abd7cf7a77bc6a84183fcfdf2ed69c820ce54de702fb7cd4e3386ad91aa4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03d5abd7cf7a77bc6a84183fcfdf2ed69c820ce54de702fb7cd4e3386ad91aa4","first_computed_at":"2026-07-05T07:34:13.021681Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:13.021681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rbGWM6iEyfcW2vz/fglD6hCDnWgTSgCDORz62jTsUN5gf3RjMDy0p8NoYg9GR1OsTrEks762htyBBfBPJ+6KAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:13.022132Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.08522","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a72857f978597a83eb0c8896e25a4da2d3eaaaa9b5e8c673aabfe4079cc44e11","sha256:ad4a0247710341fe432b91de8f4da2074088d0554cc9fc3be1c20cf24b2e747a"],"state_sha256":"a7b6a0738c7af8ab62d05aec3f31ef4766f707b07670db5931e38716624cc0e9"}