{"as_of":"2026-08-10T23:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b89c2108a5d2223f2b3a8b464b3385850f4b17232da681536dffc4a7d859b78b","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":"2026-08-10T21:05:01.924748Z","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":"2026-08-07T05:11:17.985085Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.13801","last_updated":"2021-11-03T01:04:50Z","snapshot_observed_at":"2026-08-10T16:28:32.658322Z","submitted_at":"2021-10-26T15:58:09Z","title":"Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.13801","snapshot_observed_at":"2026-08-10T21:05:01.924748Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.06570","last_updated":"2025-01-11T15:39:17Z","snapshot_observed_at":"2026-08-10T20:55:22.018901Z","submitted_at":"2025-01-11T15:39:17Z","title":"Aster: Enhancing LSM-structures for Scalable Graph Database","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T21:05:01.924748Z"},"links":{"cited_paper":"/paper/2110.13801","citing_paper":"/paper/2501.06570"},"observation_digest":"sha256:09ce6667b31664d1774e9b56ede8ff4bf92ac5b479802b75d054ebffe5322327","observation_id":"a81a6523-c528-46ee-ba3d-00fd83234582","resolution":{"observed_at":"2026-08-10T21:05:01.924748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.13801","last_updated":"2021-11-03T01:04:50Z","snapshot_observed_at":"2026-08-10T16:28:32.658322Z","submitted_at":"2021-10-26T15:58:09Z","title":"Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty","version":2},"cited_work":{"arxiv_id":"2110.13801","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.13801","snapshot_observed_at":"2026-08-07T05:11:17.985085Z","title":"Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty","venue":"cs.DB","work_id":"f6e0f160-5f1a-467b-b023-7cdd7b1d4961","year":2021},"citing_paper":{"arxiv_id":"2506.08671","last_updated":"2025-06-10T10:31:09Z","snapshot_observed_at":"2026-08-10T20:59:21.798004Z","submitted_at":"2025-06-10T10:31:09Z","title":"Evaluating Learned Indexes in LSM-tree Systems: Benchmarks,Insights and Design Choices","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:11:17.608147Z"},"links":{"cited_paper":"/paper/2110.13801","citing_paper":"/paper/2506.08671"},"observation_digest":"sha256:b738df2b1bf85364be0fa8556df068b9042247c19b39eae9fb37df9819f5cca5","observation_id":"646c7616-84d8-433c-81b8-e0cc64558463","resolution":{"observed_at":"2026-08-07T05:11:17.988871Z","resolver_source":"local_arxiv","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/2110.13801/citation-record","integrity":"/paper/2110.13801/integrity","json":"/paper/2110.13801/citation-record.json","paper":"/paper/2110.13801"},"outbound":[],"paper":{"arxiv_id":"2110.13801","last_updated":"2021-11-03T01:04:50Z","latest_version":2,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-10T16:28:32.658322Z","submitted_at":"2021-10-26T15:58:09Z","title":"Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.13801."}