{"as_of":"2026-08-09T11:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b214a506cb681a4d17d74f28f5463659a8adfcb177b50927018181930e50768c","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:50:05.792943Z","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":"2026-08-07T10:20:37.021707Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.06880","last_updated":"2021-10-11T17:55:41Z","snapshot_observed_at":"2026-08-03T18:13:29.835370Z","submitted_at":"2021-10-11T17:55:41Z","title":"A Survey of Online Auction Mechanism Design Using Deep Learning Approaches","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.06880","snapshot_observed_at":"2026-08-07T14:50:05.792943Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17549","last_updated":"2025-06-01T14:54:02Z","snapshot_observed_at":"2026-08-07T14:42:45.049676Z","submitted_at":"2025-05-23T06:55:02Z","title":"EGA-V2: An End-to-end Generative Framework for Industrial Advertising","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:50:05.792943Z"},"links":{"cited_paper":"/paper/2110.06880","citing_paper":"/paper/2505.17549"},"observation_digest":"sha256:585fe82fad3a4afbc2b67401cab1c38b6132c0adf6612e2005721fa7e3b115f5","observation_id":"4938c8e0-4a0c-4a9c-9895-2db51580b748","resolution":{"observed_at":"2026-08-07T14:50:05.792943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.06880","last_updated":"2021-10-11T17:55:41Z","snapshot_observed_at":"2026-08-03T18:13:29.835370Z","submitted_at":"2021-10-11T17:55:41Z","title":"A Survey of Online Auction Mechanism Design Using Deep Learning Approaches","version":1},"cited_work":{"arxiv_id":"2110.06880","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.06880","snapshot_observed_at":"2026-08-07T10:20:37.021707Z","title":"A Survey of Online Auction Mechanism Design Using Deep Learning Approaches","venue":"cs.GT","work_id":"c0dcdf94-7d42-46e2-b075-d6df4acfc09b","year":2021},"citing_paper":{"arxiv_id":"2506.05685","last_updated":"2025-06-06T02:25:14Z","snapshot_observed_at":"2026-08-09T06:46:16.985646Z","submitted_at":"2025-06-06T02:25:14Z","title":"NGA: Non-autoregressive Generative Auction with Global Externalities for Advertising Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:20:35.905178Z"},"links":{"cited_paper":"/paper/2110.06880","citing_paper":"/paper/2506.05685"},"observation_digest":"sha256:d4207eda72951f68613f32c394e54709439fa05723677298a2d6f15b83ba9d03","observation_id":"0b24cc60-9df9-4d99-acbb-50e7d5c35618","resolution":{"observed_at":"2026-08-07T10:20:37.115277Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2110.06880/citation-record","integrity":"/paper/2110.06880/integrity","json":"/paper/2110.06880/citation-record.json","paper":"/paper/2110.06880"},"outbound":[],"paper":{"arxiv_id":"2110.06880","last_updated":"2021-10-11T17:55:41Z","latest_version":1,"primary_category":"cs.GT","snapshot_observed_at":"2026-08-03T18:13:29.835370Z","submitted_at":"2021-10-11T17:55:41Z","title":"A Survey of Online Auction Mechanism Design Using Deep Learning Approaches"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.06880."}