{"as_of":"2026-08-21T07:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:90c1e962af708b58c414a7083eb3ea675ffc52e24f58ad15c6c40bed4114f599","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:10:33.730197Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T22:45:12.407173Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.00031","last_updated":"2024-08-17T13:20:55Z","snapshot_observed_at":"2026-08-16T13:25:51.254327Z","submitted_at":"2024-08-17T13:20:55Z","title":"Quality Assessment in the Era of Large Models: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00031","snapshot_observed_at":"2026-08-12T18:49:29.298173Z","title":"Quality assessment in the era of large models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.11235","last_updated":"2024-11-18T02:09:48Z","snapshot_observed_at":"2026-08-14T16:53:46.939629Z","submitted_at":"2024-11-18T02:09:48Z","title":"MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-12T18:49:29.298173Z"},"links":{"cited_paper":"/paper/2409.00031","citing_paper":"/paper/2411.11235"},"observation_digest":"sha256:30f2d51a1a6da633f2fce4c51669b8d725fd23aff886aaf99ee1f23f6491925e","observation_id":"dbe3a667-6def-4442-b2e0-c6466533c8b7","resolution":{"observed_at":"2026-08-12T18:49:29.298173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00031","last_updated":"2024-08-17T13:20:55Z","snapshot_observed_at":"2026-08-16T13:25:51.254327Z","submitted_at":"2024-08-17T13:20:55Z","title":"Quality Assessment in the Era of Large Models: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00031","snapshot_observed_at":"2026-08-16T12:10:33.730197Z","title":"Quality assessment in the era of large models: A survey.arXiv preprint arXiv:2409.00031, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.13524","last_updated":"2025-04-18T07:24:35Z","snapshot_observed_at":"2026-08-19T04:18:06.052503Z","submitted_at":"2025-04-18T07:24:35Z","title":"OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T12:10:33.730197Z"},"links":{"cited_paper":"/paper/2409.00031","citing_paper":"/paper/2504.13524"},"observation_digest":"sha256:b552e87fc2d20a57a6bef8117c42a77fd08eb595126a5839a9e8b4a78b2bd343","observation_id":"943dc2be-849c-4930-a4e4-41817da30134","resolution":{"observed_at":"2026-08-16T12:10:33.730197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00031","last_updated":"2024-08-17T13:20:55Z","snapshot_observed_at":"2026-08-16T13:25:51.254327Z","submitted_at":"2024-08-17T13:20:55Z","title":"Quality Assessment in the Era of Large Models: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00031","snapshot_observed_at":"2026-08-07T11:20:51.339568Z","title":"Quality assessment in the era of large mod- els: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02875","last_updated":"2025-06-03T13:39:57Z","snapshot_observed_at":"2026-08-15T15:27:53.146153Z","submitted_at":"2025-06-03T13:39:57Z","title":"NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results","version":1},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-08-07T11:20:51.339568Z"},"links":{"cited_paper":"/paper/2409.00031","citing_paper":"/paper/2506.02875"},"observation_digest":"sha256:54e740baf65f475c9c8f30b1074f6ec03c686d037c1c548216deba083d36ae5d","observation_id":"b867e270-bff2-4937-9781-54cc721f97b6","resolution":{"observed_at":"2026-08-07T11:20:51.339568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00031","last_updated":"2024-08-17T13:20:55Z","snapshot_observed_at":"2026-08-16T13:25:51.254327Z","submitted_at":"2024-08-17T13:20:55Z","title":"Quality Assessment in the Era of Large Models: A Survey","version":1},"cited_work":{"arxiv_id":"2409.00031","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.00031","snapshot_observed_at":"2026-08-06T22:45:12.407173Z","title":"Quality Assessment in the Era of Large Models: A Survey","venue":"cs.HC","work_id":"25921f0f-cd5d-4a40-ab7c-2ed97c993ad5","year":2024},"citing_paper":{"arxiv_id":"2506.20832","last_updated":"2025-06-25T21:00:44Z","snapshot_observed_at":"2026-08-16T12:20:07.746115Z","submitted_at":"2025-06-25T21:00:44Z","title":"Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:45:12.043964Z"},"links":{"cited_paper":"/paper/2409.00031","citing_paper":"/paper/2506.20832"},"observation_digest":"sha256:196c12ee03f24fca1e380918519bdf5ea930e5eaa29685c5b066edae15a1ff00","observation_id":"e7dec906-f5ca-4e2e-92a6-9172643a28d9","resolution":{"observed_at":"2026-08-06T22:45:12.414407Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.00031/citation-record","integrity":"/paper/2409.00031/integrity","json":"/paper/2409.00031/citation-record.json","paper":"/paper/2409.00031"},"outbound":[],"paper":{"arxiv_id":"2409.00031","last_updated":"2024-08-17T13:20:55Z","latest_version":1,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-16T13:25:51.254327Z","submitted_at":"2024-08-17T13:20:55Z","title":"Quality Assessment in the Era of Large Models: A Survey"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.00031."}