{"as_of":"2026-08-16T07:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b6f39c1e84ee55637736100d271354bd30393af06753401856a3b320f57bb40","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T06:02:12.190014Z","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":"2026-05-17T00:58:46.378382Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1906.02104","last_updated":"2022-11-15T06:18:46Z","snapshot_observed_at":"2026-08-16T01:19:19.312460Z","submitted_at":"2019-06-05T16:26:46Z","title":"Unbiased estimators for the variance of MMD estimators","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02104","snapshot_observed_at":"2026-08-08T06:02:12.190014Z","title":"Sutherland","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2502.08231","last_updated":"2025-08-26T12:04:11Z","snapshot_observed_at":"2026-08-14T03:25:36.440215Z","submitted_at":"2025-02-12T09:20:08Z","title":"Keep your distance: learning dispersed embeddings on $\\mathbb{S}_m$","version":4},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-08T06:02:12.190014Z"},"links":{"cited_paper":"/paper/1906.02104","citing_paper":"/paper/2502.08231"},"observation_digest":"sha256:24e8ad316f962d88fe1de8f070fc7ca710ccc0651779cef88e00b0481619572c","observation_id":"11c25e4b-06f0-46ff-ab13-1be15c06ef0d","resolution":{"observed_at":"2026-08-08T06:02:12.190014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02104","last_updated":"2022-11-15T06:18:46Z","snapshot_observed_at":"2026-08-16T01:19:19.312460Z","submitted_at":"2019-06-05T16:26:46Z","title":"Unbiased estimators for the variance of MMD estimators","version":3},"cited_work":{"arxiv_id":"1906.02104","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1906.02104","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The MathWorks Inc","venue":null,"work_id":"b6cceef2-20aa-4ba0-a520-def2f0224aa9","year":1906},"citing_paper":{"arxiv_id":"2512.05226","last_updated":"2026-05-05T18:47:27Z","snapshot_observed_at":"2026-08-15T00:02:46.761772Z","submitted_at":"2025-12-04T20:01:04Z","title":"Variance Matters: Improving Domain Adaptation via Stratified Sampling","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-17T00:56:20.595860Z"},"links":{"cited_paper":"/paper/1906.02104","citing_paper":"/paper/2512.05226"},"observation_digest":"sha256:d13edd048e3d4f0eede9ca50fe7693f57aeeb7fe78e6086122d676fc732a2da3","observation_id":"7800549c-a135-469e-b3c6-3c6391a883a1","resolution":{"observed_at":"2026-05-17T00:58:46.380647Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02104","last_updated":"2022-11-15T06:18:46Z","snapshot_observed_at":"2026-08-16T01:19:19.312460Z","submitted_at":"2019-06-05T16:26:46Z","title":"Unbiased estimators for the variance of MMD estimators","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02104","snapshot_observed_at":"2026-08-03T16:29:47.984275Z","title":"Weak Convergence of GeneralizedU-Statistics","venue":null,"work_id":null,"year":1974},"citing_paper":{"arxiv_id":"2512.13997","last_updated":"2026-07-09T06:40:48Z","snapshot_observed_at":"2026-08-16T03:11:55.315824Z","submitted_at":"2025-12-16T01:29:50Z","title":"Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics","version":2},"reference_index":2291,"source":"pdf_text","source_observed_at":"2026-08-03T16:29:47.984275Z"},"links":{"cited_paper":"/paper/1906.02104","citing_paper":"/paper/2512.13997"},"observation_digest":"sha256:d44123cbe721e9283778c014d90d05ab6576e98ed21360bd765cc592a6b02a99","observation_id":"d8cdf8af-2836-43bc-af02-db4b5417ccfd","resolution":{"observed_at":"2026-08-03T16:29:47.984275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1906.02104/citation-record","integrity":"/paper/1906.02104/integrity","json":"/paper/1906.02104/citation-record.json","paper":"/paper/1906.02104"},"outbound":[],"paper":{"arxiv_id":"1906.02104","last_updated":"2022-11-15T06:18:46Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-16T01:19:19.312460Z","submitted_at":"2019-06-05T16:26:46Z","title":"Unbiased estimators for the variance of MMD estimators"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.02104."}