{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Y7LFXIGX634IDVZBDXG5S3YTYR","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":"414abf3282b9445486292ed0422cb9e78b193d3f3ed6f529c869b878c8c32917","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T15:29:32Z","title_canon_sha256":"29205908e8c71c6c7a4b2a43de4b8b748e616aa53fde08d0a0d40c9385b6e715"},"schema_version":"1.0","source":{"id":"2505.03631","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03631","created_at":"2026-05-20T00:02:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03631v4","created_at":"2026-05-20T00:02:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03631","created_at":"2026-05-20T00:02:50Z"},{"alias_kind":"pith_short_12","alias_value":"Y7LFXIGX634I","created_at":"2026-05-20T00:02:50Z"},{"alias_kind":"pith_short_16","alias_value":"Y7LFXIGX634IDVZB","created_at":"2026-05-20T00:02:50Z"},{"alias_kind":"pith_short_8","alias_value":"Y7LFXIGX","created_at":"2026-05-20T00:02:50Z"}],"graph_snapshots":[{"event_id":"sha256:8cc2c30657f19452d026e0c2babd2260a216c106c7fdafff606d273886bf6ade","target":"graph","created_at":"2026-05-20T00:02:50Z","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/2505.03631/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video quality assessment (VQA) is essential for quantifying perceptual quality in various video processing workflows, spanning from camera capture systems to over-the-top streaming platforms. While recent supervised VQA models have made substantial progress, the reliance on manually annotated datasets -- a process that is labor-intensive, costly, and difficult to scale up -- has hindered further optimization of their generalization to unseen video content and distortions. To bridge this gap, we introduce a self-supervised learning framework for VQA to learn quality assessment capabilities from","authors_text":"Guangtao Zhai, Kaiwei Zhang, Linhan Cao, Wei Sun, Xiongkuo Min, Yicong Peng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T15:29:32Z","title":"Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03631","kind":"arxiv","version":4},"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:e13d2bf6ed7969f7e6f8eea43ed9fd28453104f199a4e313e390a2780595aa9a","target":"record","created_at":"2026-05-20T00:02:50Z","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":"414abf3282b9445486292ed0422cb9e78b193d3f3ed6f529c869b878c8c32917","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T15:29:32Z","title_canon_sha256":"29205908e8c71c6c7a4b2a43de4b8b748e616aa53fde08d0a0d40c9385b6e715"},"schema_version":"1.0","source":{"id":"2505.03631","kind":"arxiv","version":4}},"canonical_sha256":"c7d65ba0d7f6f881d7211dcdd96f13c4431d85ddabba6ab299fcd95108495856","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7d65ba0d7f6f881d7211dcdd96f13c4431d85ddabba6ab299fcd95108495856","first_computed_at":"2026-05-20T00:02:50.104071Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:50.104071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oy400Mv+puIsuf6rZlaDxXkE083NWQBwFSFw0SV/bIQG8wunSE5bLwA71kvygnmjygeo5pNsrYPT3sb/zejtBg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:50.104904Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03631","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e13d2bf6ed7969f7e6f8eea43ed9fd28453104f199a4e313e390a2780595aa9a","sha256:8cc2c30657f19452d026e0c2babd2260a216c106c7fdafff606d273886bf6ade"],"state_sha256":"a238f8e238f28780490319da1b26cc1f311ebdc4557dc1e9d6090acc6b702f68"}