{"as_of":"2026-08-11T05:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:41b65054dba751d77b01dbef5d3ed41301d6a9f3ec1335f79b42d42db9bd5381","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":"2026-08-10T06:31:04.303077+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":"2026-08-10T22:26:14.492946Z","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":"2026-05-23T01:37:22.141444Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.04475","last_updated":"2024-12-06T05:51:06Z","snapshot_observed_at":"2026-08-11T03:32:46.712336Z","submitted_at":"2024-09-05T13:45:42Z","title":"Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.04475","snapshot_observed_at":"2026-08-10T22:26:14.492946Z","title":"Revolutionizing Database Q&A with Large Language Models: Comprehen- sive Benchmark and Evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01631","last_updated":"2025-01-03T04:38:51Z","snapshot_observed_at":"2026-08-10T23:57:05.570777Z","submitted_at":"2025-01-03T04:38:51Z","title":"Revisiting Data Analysis with Pre-trained Foundation Models","version":1},"reference_index":178,"source":"pdf_text","source_observed_at":"2026-08-10T22:26:14.492946Z"},"links":{"cited_paper":"/paper/2409.04475","citing_paper":"/paper/2501.01631"},"observation_digest":"sha256:f2fb37bc67832bd4a383e7ec237337b7c72d7ba49c0236bd68e4672f9d271eea","observation_id":"5abc7ed8-d3cb-4fd5-ad10-201d7adecea8","resolution":{"observed_at":"2026-08-10T22:26:14.492946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.04475","last_updated":"2024-12-06T05:51:06Z","snapshot_observed_at":"2026-08-11T03:32:46.712336Z","submitted_at":"2024-09-05T13:45:42Z","title":"Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation","version":2},"cited_work":{"arxiv_id":"2409.04475","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.04475","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c7bb03bf-68e8-498c-a299-7ced4e44e556","year":2024},"citing_paper":{"arxiv_id":"2503.04338","last_updated":"2026-04-27T08:04:44Z","snapshot_observed_at":"2026-08-03T03:43:27.981758Z","submitted_at":"2025-03-06T11:34:49Z","title":"In-depth Analysis of Graph-based RAG in a Unified Framework","version":2},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-05-23T01:36:25.057478Z"},"links":{"cited_paper":"/paper/2409.04475","citing_paper":"/paper/2503.04338"},"observation_digest":"sha256:37ca2d965bdbfe135d516d2184717a229cdab062da676628359bd83a6b51ee72","observation_id":"f7cd4ff7-c686-4379-bd3f-0443fffe26f3","resolution":{"observed_at":"2026-05-23T01:37:22.145101Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.04475/citation-record","integrity":"/paper/2409.04475/integrity","json":"/paper/2409.04475/citation-record.json","paper":"/paper/2409.04475"},"outbound":[],"paper":{"arxiv_id":"2409.04475","last_updated":"2024-12-06T05:51:06Z","latest_version":2,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-11T03:32:46.712336Z","submitted_at":"2024-09-05T13:45:42Z","title":"Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.04475."}