{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:5JM5WS5P4ZXY4IT63OG6L2XHXA","short_pith_number":"pith:5JM5WS5P","schema_version":"1.0","canonical_sha256":"ea59db4bafe66f8e227edb8de5eae7b834bd18af7e8437803bc84fbbb8fe2a4c","source":{"kind":"arxiv","id":"2010.00370","version":1},"attestation_state":"computed","paper":{"title":"Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anne Flore Perrin, Jing Li, Luk\\'a\\v{s} Krasula, Patrick Le Callet, Suiyi Ling, Zhi Li","submitted_at":"2020-10-01T13:05:09Z","abstract_excerpt":"The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human observers. Different subjective assessment protocols can be used according to the objectives, which determine the discriminability and accuracy of the subjective data.\n  Single stimulus methodology, e.g., the Absolute Category Rating (ACR) has been widely adopted due to its simplicity and efficiency. However, Pair Comparison (PC) is of significant advantage over ACR in terms of discriminability. In addition, PC avoids "},"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":"2010.00370","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-10-01T13:05:09Z","cross_cats_sorted":[],"title_canon_sha256":"c0044a5fea1228ceb97cf21b2365cd640aa542043f5d773982d6f9c30d94e00a","abstract_canon_sha256":"7f2f7240372ae456cd1674ac551824472c4c4f21036af89057c950777f89977e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:39:32.949276Z","signature_b64":"eGuLIpV3ZwuDlkrb/p/aL1NqV2TI0/ssnYCmNSwYUeKzB1BWwxO3GEZLk410mBwbDfdVq/YT/VK+QmqKvx3uCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea59db4bafe66f8e227edb8de5eae7b834bd18af7e8437803bc84fbbb8fe2a4c","last_reissued_at":"2026-07-05T01:39:32.948831Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:39:32.948831Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Anne Flore Perrin, Jing Li, Luk\\'a\\v{s} Krasula, Patrick Le Callet, Suiyi Ling, Zhi Li","submitted_at":"2020-10-01T13:05:09Z","abstract_excerpt":"The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human observers. Different subjective assessment protocols can be used according to the objectives, which determine the discriminability and accuracy of the subjective data.\n  Single stimulus methodology, e.g., the Absolute Category Rating (ACR) has been widely adopted due to its simplicity and efficiency. However, Pair Comparison (PC) is of significant advantage over ACR in terms of discriminability. In addition, PC avoids "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.00370","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/2010.00370/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":"2010.00370","created_at":"2026-07-05T01:39:32.948884+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.00370v1","created_at":"2026-07-05T01:39:32.948884+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.00370","created_at":"2026-07-05T01:39:32.948884+00:00"},{"alias_kind":"pith_short_12","alias_value":"5JM5WS5P4ZXY","created_at":"2026-07-05T01:39:32.948884+00:00"},{"alias_kind":"pith_short_16","alias_value":"5JM5WS5P4ZXY4IT6","created_at":"2026-07-05T01:39:32.948884+00:00"},{"alias_kind":"pith_short_8","alias_value":"5JM5WS5P","created_at":"2026-07-05T01:39:32.948884+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.29212","citing_title":"MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality","ref_index":25,"is_internal_anchor":false},{"citing_arxiv_id":"2605.29212","citing_title":"MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality","ref_index":25,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA","json":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA.json","graph_json":"https://pith.science/api/pith-number/5JM5WS5P4ZXY4IT63OG6L2XHXA/graph.json","events_json":"https://pith.science/api/pith-number/5JM5WS5P4ZXY4IT63OG6L2XHXA/events.json","paper":"https://pith.science/paper/5JM5WS5P"},"agent_actions":{"view_html":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA","download_json":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA.json","view_paper":"https://pith.science/paper/5JM5WS5P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.00370&json=true","fetch_graph":"https://pith.science/api/pith-number/5JM5WS5P4ZXY4IT63OG6L2XHXA/graph.json","fetch_events":"https://pith.science/api/pith-number/5JM5WS5P4ZXY4IT63OG6L2XHXA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA/action/storage_attestation","attest_author":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA/action/author_attestation","sign_citation":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA/action/citation_signature","submit_replication":"https://pith.science/pith/5JM5WS5P4ZXY4IT63OG6L2XHXA/action/replication_record"}},"created_at":"2026-07-05T01:39:32.948884+00:00","updated_at":"2026-07-05T01:39:32.948884+00:00"}