{"as_of":"2026-08-09T13:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69bbf73f2b30ee203c679a02df5ab9d28c8b74c799790b7cc0bac0820a1fb0b1","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T09:22:39.430735Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.05965","last_updated":"2023-01-14T19:14:51Z","snapshot_observed_at":"2026-08-09T09:49:04.151689Z","submitted_at":"2023-01-14T19:14:51Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)","version":1},"cited_work":{"arxiv_id":"2301.05965","doi":"10.48550/arxiv.2301.05965","metadata_source":"pith","pith_arxiv_id":"2301.05965","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)","venue":"cs.DB","work_id":"ef616aa2-213b-4a38-8624-ecbb9eb7ed2d","year":2023},"citing_paper":{"arxiv_id":"2607.10771","last_updated":"2026-07-12T13:59:54Z","snapshot_observed_at":"2026-08-04T03:35:45.840328Z","submitted_at":"2026-07-12T13:59:54Z","title":"Lightning Fast Matching Dependency Discovery with Desbordante","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T09:23:22.580600Z"},"links":{"cited_paper":"/paper/2301.05965","citing_paper":"/paper/2607.10771"},"observation_digest":"sha256:40e9453d46c4ff0cc9800319761a943a8cd18e8ff908ac697ef23c1cbe0ad2db","observation_id":"a38a4218-f71c-4e24-b403-ae94d23cc13c","resolution":{"observed_at":"2026-07-14T09:30:22.703730Z","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":"2026-07-14T19:50:06.354942+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T19:50:06.354942+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.05965","last_updated":"2023-01-14T19:14:51Z","snapshot_observed_at":"2026-08-09T09:49:04.151689Z","submitted_at":"2023-01-14T19:14:51Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.05965","snapshot_observed_at":"2026-07-30T17:17:47.274800Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23632","last_updated":"2026-07-26T12:36:31Z","snapshot_observed_at":"2026-08-08T00:41:06.486427Z","submitted_at":"2026-07-26T12:36:31Z","title":"Order in Desbordante: Techniques for Efficient Implementation of Order Dependency Discovery Algorithms","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-30T17:17:47.274800Z"},"links":{"cited_paper":"/paper/2301.05965","citing_paper":"/paper/2607.23632"},"observation_digest":"sha256:ccf353a55d019d7052ea515d2d80fa0d744eb4970881b0e4c4d051aa1a93b934","observation_id":"af8a17d8-4d63-4e0d-a2cd-9c76dd65803a","resolution":{"observed_at":"2026-07-30T17:17:47.274800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.05965","last_updated":"2023-01-14T19:14:51Z","snapshot_observed_at":"2026-08-09T09:49:04.151689Z","submitted_at":"2023-01-14T19:14:51Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.05965","snapshot_observed_at":"2026-07-30T17:21:46.341567Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23636","last_updated":"2026-07-26T13:01:48Z","snapshot_observed_at":"2026-08-06T13:32:07.471123Z","submitted_at":"2026-07-26T13:01:48Z","title":"Extending Desbordante with Probabilistic Functional Dependency Discovery Support","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-30T17:21:46.341567Z"},"links":{"cited_paper":"/paper/2301.05965","citing_paper":"/paper/2607.23636"},"observation_digest":"sha256:af5018904a5b31883d578c40ad8af032335526e04107070642709d4fd9e4cd96","observation_id":"a036138a-482a-4666-97e4-5d8e65ec0e89","resolution":{"observed_at":"2026-07-30T17:21:46.341567Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.05965","last_updated":"2023-01-14T19:14:51Z","snapshot_observed_at":"2026-08-09T09:49:04.151689Z","submitted_at":"2023-01-14T19:14:51Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.05965","snapshot_observed_at":"2026-08-04T09:22:38.364038Z","title":"Chernishev, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02321","last_updated":"2026-08-03T14:46:21Z","snapshot_observed_at":"2026-08-06T23:37:10.278967Z","submitted_at":"2026-08-03T14:46:21Z","title":"FastGFDs: Efficient Validation of Graph Functional Dependencies with Desbordante","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T09:22:38.364038Z"},"links":{"cited_paper":"/paper/2301.05965","citing_paper":"/paper/2608.02321"},"observation_digest":"sha256:6cf4423cdfaefd713cd6f0e1a710e63e7740f2328bc83e31025bfb05f9f91a7e","observation_id":"bae66d47-9140-41aa-a45b-6c1e37fa111f","resolution":{"observed_at":"2026-08-04T09:22:38.364038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.05965","last_updated":"2023-01-14T19:14:51Z","snapshot_observed_at":"2026-08-09T09:49:04.151689Z","submitted_at":"2023-01-14T19:14:51Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.05965","snapshot_observed_at":"2026-08-04T09:22:39.430735Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint) , publisher =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02321","last_updated":"2026-08-03T14:46:21Z","snapshot_observed_at":"2026-08-06T23:37:10.278967Z","submitted_at":"2026-08-03T14:46:21Z","title":"FastGFDs: Efficient Validation of Graph Functional Dependencies with Desbordante","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T09:22:39.430735Z"},"links":{"cited_paper":"/paper/2301.05965","citing_paper":"/paper/2608.02321"},"observation_digest":"sha256:c4a53f070a68455ac21ad6a13fd8b25cdf0ee3f8c5a1d7523df28813212db3e3","observation_id":"00f89d29-3a88-4185-8cbd-16323ab98930","resolution":{"observed_at":"2026-08-04T09:22:39.430735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2301.05965/citation-record","integrity":"/paper/2301.05965/integrity","json":"/paper/2301.05965/citation-record.json","paper":"/paper/2301.05965"},"outbound":[],"paper":{"arxiv_id":"2301.05965","last_updated":"2023-01-14T19:14:51Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-09T09:49:04.151689Z","submitted_at":"2023-01-14T19:14:51Z","title":"Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)"},"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 5 inbound Pith citation observations for arXiv:2301.05965."}