{"as_of":"2026-08-14T18:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e53272ce222d036a1191ddaafec4850ec80ce7e715801270e116607b964d8c5b","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T23:38:45.090599Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T23:00:21.425286Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2004.03814","last_updated":"2020-04-08T05:15:47Z","snapshot_observed_at":"2026-08-12T16:13:21.615471Z","submitted_at":"2020-04-08T05:15:47Z","title":"Bao: Learning to Steer Query Optimizers","version":1},"cited_work":{"arxiv_id":"2004.03814","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.03814","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2004.03814 , year=","venue":null,"work_id":"b7fb028c-420f-42c5-a6d4-6f0b4d7ff70d","year":2004},"citing_paper":{"arxiv_id":"2401.01335","last_updated":"2024-06-14T21:17:17Z","snapshot_observed_at":"2026-08-13T19:59:28.723365Z","submitted_at":"2024-01-02T18:53:13Z","title":"Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models","version":3},"reference_index":294,"source":"arxiv_source","source_observed_at":"2026-05-14T23:00:20.720030Z"},"links":{"cited_paper":"/paper/2004.03814","citing_paper":"/paper/2401.01335"},"observation_digest":"sha256:040f43a6166b26b3564c63d2ddf49bffca33de5850494f9a7c5748339923efa3","observation_id":"23dcdff1-3a35-44fc-9768-1fb0b9868df7","resolution":{"observed_at":"2026-05-14T23:00:21.428456Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03814","last_updated":"2020-04-08T05:15:47Z","snapshot_observed_at":"2026-08-12T16:13:21.615471Z","submitted_at":"2020-04-08T05:15:47Z","title":"Bao: Learning to Steer Query Optimizers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03814","snapshot_observed_at":"2026-08-11T23:38:45.090599Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.02372","last_updated":"2024-12-05T06:00:34Z","snapshot_observed_at":"2026-08-12T21:39:17.511008Z","submitted_at":"2024-12-03T10:58:34Z","title":"HERO: Hint-Based Efficient and Reliable Query Optimizer","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T23:38:45.090599Z"},"links":{"cited_paper":"/paper/2004.03814","citing_paper":"/paper/2412.02372"},"observation_digest":"sha256:ebbc647416c0c765c0e551b71c5c12a93c400d5cba8f218989f6f62fd5d6332d","observation_id":"c250043b-2964-4bdf-bc94-820ab42a1959","resolution":{"observed_at":"2026-08-11T23:38:45.090599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03814","last_updated":"2020-04-08T05:15:47Z","snapshot_observed_at":"2026-08-12T16:13:21.615471Z","submitted_at":"2020-04-08T05:15:47Z","title":"Bao: Learning to Steer Query Optimizers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03814","snapshot_observed_at":"2026-08-06T18:48:53.482382Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.07471","last_updated":"2025-07-10T06:57:54Z","snapshot_observed_at":"2026-08-13T19:56:07.982852Z","submitted_at":"2025-07-10T06:57:54Z","title":"JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:48:53.482382Z"},"links":{"cited_paper":"/paper/2004.03814","citing_paper":"/paper/2507.07471"},"observation_digest":"sha256:6eab40d06f1fb57f6d9c1ddc643cf602ff59e9554d2cf06f6a7f15b2fff80bca","observation_id":"e0221f1e-0c8a-4301-8a65-9637a7ce7a98","resolution":{"observed_at":"2026-08-06T18:48:53.482382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03814","last_updated":"2020-04-08T05:15:47Z","snapshot_observed_at":"2026-08-12T16:13:21.615471Z","submitted_at":"2020-04-08T05:15:47Z","title":"Bao: Learning to Steer Query Optimizers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.03814","snapshot_observed_at":"2026-07-12T06:19:06.703030Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.02895","last_updated":"2026-07-03T02:44:32Z","snapshot_observed_at":"2026-08-12T11:16:45.904915Z","submitted_at":"2026-07-03T02:44:32Z","title":"Selectivity Estimation for Linear Queries via Online Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-12T06:19:06.703030Z"},"links":{"cited_paper":"/paper/2004.03814","citing_paper":"/paper/2607.02895"},"observation_digest":"sha256:300dd3ecbde1a63265d2cf8fdaf032b382dca2bc24e20a8f15060572490b75e6","observation_id":"4a36f45a-00f3-4e24-8617-372f2883f665","resolution":{"observed_at":"2026-07-12T06:19:06.703030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2004.03814/citation-record","integrity":"/paper/2004.03814/integrity","json":"/paper/2004.03814/citation-record.json","paper":"/paper/2004.03814"},"outbound":[],"paper":{"arxiv_id":"2004.03814","last_updated":"2020-04-08T05:15:47Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-12T16:13:21.615471Z","submitted_at":"2020-04-08T05:15:47Z","title":"Bao: Learning to Steer Query Optimizers"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2004.03814."}