{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:D2M446GKP5M3BSPVGISMHCEYQC","short_pith_number":"pith:D2M446GK","schema_version":"1.0","canonical_sha256":"1e99ce78ca7f59b0c9f53224c38898808b993857e3983eacd3bdac4150c53e8c","source":{"kind":"arxiv","id":"2605.21130","version":1},"attestation_state":"computed","paper":{"title":"VersusQ: Pairwise Margin Reasoning for Generalizable Video Quality Assessment","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Binxin Yang, Hubery Yin, Jiexuan Zhang, Qiang Xu, Shibei Meng, Yuan Liu, Zhengyao Lv","submitted_at":"2026-05-20T13:03:17Z","abstract_excerpt":"Large Multimodal Models (LMMs) have shown promise for video quality assessment, but most methods still predict an absolute score for each video. Such pointwise supervision often mixes perceptual quality with dataset-specific calibration, including annotation protocols, rating habits, and score distributions. As a result, the learned scoring rule may work well within a benchmark but transfer poorly across unseen domains. We argue that relative comparisons alleviate the absolute-scale calibration bias by focusing purely on perceptual differences rather than dataset-specific rating habits. Conseq"},"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":"2605.21130","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-20T13:03:17Z","cross_cats_sorted":[],"title_canon_sha256":"b87d7488ab6c9bfed9444fe175ffff6024c56b1fe713a31437c879fa39122251","abstract_canon_sha256":"257797e0a871ccd33dc403c5808a4a034bcd6d1bcc468eba0334a22e17457714"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T01:05:38.991197Z","signature_b64":"qq7KWcPgOeeBZdwoUWSrBhYn3DcI9vJgvRjlgdjg5Idks+3IOa+Dna4TsSn1bSNuNwdUaBcyHymfYJ4sVq4JBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e99ce78ca7f59b0c9f53224c38898808b993857e3983eacd3bdac4150c53e8c","last_reissued_at":"2026-05-21T01:05:38.990515Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T01:05:38.990515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VersusQ: Pairwise Margin Reasoning for Generalizable Video Quality Assessment","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Binxin Yang, Hubery Yin, Jiexuan Zhang, Qiang Xu, Shibei Meng, Yuan Liu, Zhengyao Lv","submitted_at":"2026-05-20T13:03:17Z","abstract_excerpt":"Large Multimodal Models (LMMs) have shown promise for video quality assessment, but most methods still predict an absolute score for each video. Such pointwise supervision often mixes perceptual quality with dataset-specific calibration, including annotation protocols, rating habits, and score distributions. As a result, the learned scoring rule may work well within a benchmark but transfer poorly across unseen domains. We argue that relative comparisons alleviate the absolute-scale calibration bias by focusing purely on perceptual differences rather than dataset-specific rating habits. Conseq"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.21130","kind":"arxiv","version":1},"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/2605.21130/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":"2605.21130","created_at":"2026-05-21T01:05:38.990645+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.21130v1","created_at":"2026-05-21T01:05:38.990645+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.21130","created_at":"2026-05-21T01:05:38.990645+00:00"},{"alias_kind":"pith_short_12","alias_value":"D2M446GKP5M3","created_at":"2026-05-21T01:05:38.990645+00:00"},{"alias_kind":"pith_short_16","alias_value":"D2M446GKP5M3BSPV","created_at":"2026-05-21T01:05:38.990645+00:00"},{"alias_kind":"pith_short_8","alias_value":"D2M446GK","created_at":"2026-05-21T01:05:38.990645+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/D2M446GKP5M3BSPVGISMHCEYQC","json":"https://pith.science/pith/D2M446GKP5M3BSPVGISMHCEYQC.json","graph_json":"https://pith.science/api/pith-number/D2M446GKP5M3BSPVGISMHCEYQC/graph.json","events_json":"https://pith.science/api/pith-number/D2M446GKP5M3BSPVGISMHCEYQC/events.json","paper":"https://pith.science/paper/D2M446GK"},"agent_actions":{"view_html":"https://pith.science/pith/D2M446GKP5M3BSPVGISMHCEYQC","download_json":"https://pith.science/pith/D2M446GKP5M3BSPVGISMHCEYQC.json","view_paper":"https://pith.science/paper/D2M446GK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.21130&json=true","fetch_graph":"https://pith.science/api/pith-number/D2M446GKP5M3BSPVGISMHCEYQC/graph.json","fetch_events":"https://pith.science/api/pith-number/D2M446GKP5M3BSPVGISMHCEYQC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D2M446GKP5M3BSPVGISMHCEYQC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D2M446GKP5M3BSPVGISMHCEYQC/action/storage_attestation","attest_author":"https://pith.science/pith/D2M446GKP5M3BSPVGISMHCEYQC/action/author_attestation","sign_citation":"https://pith.science/pith/D2M446GKP5M3BSPVGISMHCEYQC/action/citation_signature","submit_replication":"https://pith.science/pith/D2M446GKP5M3BSPVGISMHCEYQC/action/replication_record"}},"created_at":"2026-05-21T01:05:38.990645+00:00","updated_at":"2026-05-21T01:05:38.990645+00:00"}