{"as_of":"2026-08-08T18:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:68c9002964739f9fa59de8f73b962cd278af629394b21a6232c3628fa7ce57af","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:40:03.717898Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.04860/citation-record","integrity":"/paper/2608.04860/integrity","json":"/paper/2608.04860/citation-record.json","paper":"/paper/2608.04860"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:02.948121Z","title":"2017 , author =","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.948121Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:d7bd970b9ab4af5569036a1c4be654f0d654bb144b50ad0a6a724aab3aff87b8","observation_id":"140d0ff1-f3e4-42f1-88a4-3790900df51f","resolution":{"observed_at":"2026-08-08T17:40:02.948121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06578","last_updated":"2026-07-22T17:24:51Z","snapshot_observed_at":"2026-08-06T16:12:31.278287Z","submitted_at":"2023-02-13T18:26:36Z","title":"Kernel Ridge Regression Inference","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06578","snapshot_observed_at":"2026-08-08T17:40:02.954070Z","title":"arXiv preprint arXiv:2302.06578 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.954070Z"},"links":{"cited_paper":"/paper/2302.06578","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:34cccba9b13b241020d7b07ec675eae274bb5a989b6e167ebbbaa5c631025c79","observation_id":"3839d115-1811-42d9-98bd-63bf072c023c","resolution":{"observed_at":"2026-08-08T17:40:02.954070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:02.958399Z","title":"2018 , publisher=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.958399Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:163ccfcff0fe1da48676fea6c4651a6f99040a1090ad31e12767f26515ede1fd","observation_id":"8a331d31-312c-45e8-ae36-a8a346a8913c","resolution":{"observed_at":"2026-08-08T17:40:02.958399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:02.961954Z","title":"The Journal of Machine Learning Research , volume=","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.961954Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:3d8b0166dcd6d69b79b4e9986aaa4a0633264ed3fe53b1b0e112f0a499fa16a7","observation_id":"0253fd7f-49de-4501-b9ca-49f0fb54a676","resolution":{"observed_at":"2026-08-08T17:40:02.961954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1206.4650","last_updated":"2012-06-18T15:23:37Z","snapshot_observed_at":"2026-07-06T02:50:20.241587Z","submitted_at":"2012-06-18T15:23:37Z","title":"Analysis of Kernel Mean Matching under Covariate Shift","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1206.4650","snapshot_observed_at":"2026-08-08T17:40:02.965566Z","title":"arXiv preprint arXiv:1206.4650 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.965566Z"},"links":{"cited_paper":"/paper/1206.4650","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:3b47cfebf181b197afed2ba2a0d49a0fb27aaa076023d44168d231e3d558a8e7","observation_id":"e106a62e-c910-47c0-b483-925c06cf279d","resolution":{"observed_at":"2026-08-08T17:40:02.965566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:02.969568Z","title":"2013 , publisher=","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.969568Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:4263a16084775244576f65fb18a51b2be1843e0e1daa28c42ed517d7b973e5eb","observation_id":"208e9e22-3cb7-43b7-81d3-ed0edbeaff37","resolution":{"observed_at":"2026-08-08T17:40:02.969568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:02.973331Z","title":"Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.973331Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:c58b4a0ec501fa86124b5ea054b6688fcec340ed32d66fa98e47766d5de0e825","observation_id":"da800112-87ae-401d-97f3-4a62d6dc8f29","resolution":{"observed_at":"2026-08-08T17:40:02.973331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:02.976707Z","title":"1994 , publisher=","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.976707Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:9390c17154d7f07776d35f40744d6ea0b8a78d47706365b8a8bf5e06fef53477","observation_id":"e0b25705-4bab-423c-907e-5f37111bf8da","resolution":{"observed_at":"2026-08-08T17:40:02.976707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:02.980456Z","title":"The annals of statistics , volume=","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.980456Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:32e6963994fb97b12a72a16d930a003b10f6e909cd144a2c4fb977c810009407","observation_id":"f461e7ea-0380-47ce-ada9-073dcc4dd661","resolution":{"observed_at":"2026-08-08T17:40:02.980456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:02.999981Z","title":"1990 , publisher=","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:02.999981Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:d18785c739b24b691e7e9f5405320820ca73e07504ac7ff8eb49f3f4305a17d0","observation_id":"5c6b1b24-423a-4bef-8532-d78942426684","resolution":{"observed_at":"2026-08-08T17:40:02.999981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.025893Z","title":"2013 , publisher=","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.025893Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:1fab3792b31c495db359804218d29abbe5d95d30d760fdfc173da052a178d897","observation_id":"822bd00c-2bc8-4b1e-a45f-209d1a707051","resolution":{"observed_at":"2026-08-08T17:40:03.025893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.040806Z","title":"2002 , publisher=","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.040806Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:39ff0310c3e124ea55505c82e357e8c91f2e0c0525926ad8f5093f5d2511c4d9","observation_id":"a9b6d29a-0c5c-462e-b7aa-da45fd4d12bb","resolution":{"observed_at":"2026-08-08T17:40:03.040806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.071874Z","title":"Philosophical Transactions of the Royal Society of London","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.071874Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:cbb00ab3c9e4285695f4109dcebaea73b4960afdcd08cfceed25206e6750f2c0","observation_id":"bed0a7b0-eec3-4308-b1bc-6aad10ce364d","resolution":{"observed_at":"2026-08-08T17:40:03.071874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04020","last_updated":"2023-03-07T16:37:30Z","snapshot_observed_at":"2026-07-06T14:59:46.707335Z","submitted_at":"2023-03-07T16:37:30Z","title":"When is Importance Weighting Correction Needed for Covariate Shift Adaptation?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.04020","snapshot_observed_at":"2026-08-08T17:40:03.116047Z","title":"arXiv preprint arXiv:2303.04020 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.116047Z"},"links":{"cited_paper":"/paper/2303.04020","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:2e23df75fc6f0c7f6da88d0cab9d0a3aaf252751d23fb8f32b7affdbeef1ca3e","observation_id":"e0e1b178-6a40-45e3-a93a-f81075033507","resolution":{"observed_at":"2026-08-08T17:40:03.116047Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.156780Z","title":"Spectral Theory of Linear Differential Operators and Comparison Algebras , publisher=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.156780Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:eed5830b10f6f4c37234732b5fb6c24dc04c6dc77cdd16dc150a3453dd9d033a","observation_id":"24237534-48c4-4918-94b3-cf9dfe75a045","resolution":{"observed_at":"2026-08-08T17:40:03.156780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.200655Z","title":"Foundations of Computational Mathematics , volume=","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.200655Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:1b0a8e2aa57598f82921167aac949ae013ecc4ce1f01b8467cf0dd7f484aac94","observation_id":"9380d5a6-19e5-45f2-8f7a-c3b5d9d6d40a","resolution":{"observed_at":"2026-08-08T17:40:03.200655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.225122Z","title":"Journal of statistical planning and inference , volume=","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.225122Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:a6954698b664601629291fca4d8f8fd9a0eae10da8f19009c943b2e08860760f","observation_id":"4b0b81ad-cecf-4d40-b4f8-798435e0673d","resolution":{"observed_at":"2026-08-08T17:40:03.225122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.276165Z","title":"Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation , urldate =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.276165Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:ef4d0d6db167bd27bbed7aaa92e18d791aa73d0678adf05245e2bd9ce7c7c5e0","observation_id":"2d14dc89-dba0-4d8f-8d3a-869bb610c42c","resolution":{"observed_at":"2026-08-08T17:40:03.276165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.304948Z","title":"IEEE Transactions on knowledge and data engineering , volume=","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.304948Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:5d7c3e2115f9f7e245ef9f9fd3dcb2b11d46d57cb4d79451429f2cc33bc5f63e","observation_id":"edd23c84-0979-4b3a-b8df-dc5188aec915","resolution":{"observed_at":"2026-08-08T17:40:03.304948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.328391Z","title":"Domain Adaptation for Medical Image Analysis: A Survey , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.328391Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:26b747bf1b54ff5e9bd013509825a60d7f4d3bc085a6ddac8bb7ed85000aa952","observation_id":"160ee009-4ea0-481b-b24e-a68bb6cf6fc6","resolution":{"observed_at":"2026-08-08T17:40:03.328391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.349206Z","title":"Instance Weighting for Domain Adaptation in NLP","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.349206Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:cab1c31b291f0fc76acfd451908eb3cc46e38d6f879f306b0be48e68ed3e59d4","observation_id":"118a0f9e-939a-47a6-a853-98deb9f7b430","resolution":{"observed_at":"2026-08-08T17:40:03.349206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.391282Z","title":"The Annals of Statistics , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.391282Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:a05eb10587e43920537e599ff87b8c0c3db78a4869fe89989f1ac8809df1492f","observation_id":"1dbde334-57d5-4780-9f57-964c0c39ba86","resolution":{"observed_at":"2026-08-08T17:40:03.391282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.451428Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.451428Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:5c9bec398b54ba9f5576c1f033ab90082fd6c22ce23440b2d4443ec43b0b0c86","observation_id":"e152244f-3c49-438f-994f-37024d6c0c03","resolution":{"observed_at":"2026-08-08T17:40:03.451428Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"0902.3430","last_updated":"2023-11-30T22:47:15Z","snapshot_observed_at":"2026-08-05T15:56:40.672037Z","submitted_at":"2009-02-19T18:42:16Z","title":"Domain Adaptation: Learning Bounds and Algorithms","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0902.3430","snapshot_observed_at":"2026-08-08T17:40:03.491642Z","title":"arXiv preprint arXiv:0902.3430 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.491642Z"},"links":{"cited_paper":"/paper/0902.3430","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:15a09c920bcea8c67c9e90f192f5ce34c672ce0c1aca6194db1564046c19f80a","observation_id":"27e0666c-9ee9-4d84-a3c9-ea6612f3577f","resolution":{"observed_at":"2026-08-08T17:40:03.491642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.513702Z","title":"Conference On Learning Theory , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.513702Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:14324e257d9e98a322a1b1a666686b9278544709344a4266ad0b60e03f3e7db8","observation_id":"c534c09e-fd38-4ae1-bf9e-410c21e42b9f","resolution":{"observed_at":"2026-08-08T17:40:03.513702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.555011Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.555011Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:e3b3e640fde30ece0500776be95bb365937eefbcf5d3d29dc80bf5123acf8129","observation_id":"08e263bd-e0df-4c99-8c5a-389f1a915b17","resolution":{"observed_at":"2026-08-08T17:40:03.555011Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.573988Z","title":"2024 , author =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.573988Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:bd8794f358bd54d92180e697b3042cfe79d19ba050fa17f74f0a836f8c5b02c7","observation_id":"43ec47c0-9b37-458a-934a-8eb49f1e49de","resolution":{"observed_at":"2026-08-08T17:40:03.573988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.577451Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.577451Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:b86dc32513ea6c2cbf86f6e90beb06a86148df1b17f31447f3c7df77a2ab9b19","observation_id":"fcc9511c-3257-4aa6-a69e-16428f361f33","resolution":{"observed_at":"2026-08-08T17:40:03.577451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.581305Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.581305Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:8f91635ceebcdca6a2d308205ccef1d39139e9e167776327e9e8157cf3fa7a0a","observation_id":"6d2839f7-06a0-42e6-94e7-2720416c055a","resolution":{"observed_at":"2026-08-08T17:40:03.581305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.585080Z","title":"The Annals of Statistics , volume=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.585080Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:6236e1602b0debd24123b3d09916583527a9ecde1f8711475fb379bb24cc8683","observation_id":"9c1e16e6-a679-4778-bf83-54e4a724d19f","resolution":{"observed_at":"2026-08-08T17:40:03.585080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.588624Z","title":"Bernoulli , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.588624Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:cfb4a2505ed8c7281258577d2fd9c9871f2cf5cf0cb48f229fbe7a31db3b3072","observation_id":"c78f692f-f5f3-4030-a77b-74b6d802e356","resolution":{"observed_at":"2026-08-08T17:40:03.588624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.592331Z","title":"Anti-concentration and honest, adaptive confidence bands , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.592331Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:6942a2fc7b679b5414b9fddc28b443a75fcb64718a382c64683cc4ab65a51c7c","observation_id":"ffcdc266-00d6-4096-b2e2-64a206faf49b","resolution":{"observed_at":"2026-08-08T17:40:03.592331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.596203Z","title":"The Annals of Statistics , number =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.596203Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:398163bbece9558f8158d85cb15831cdc2a6c790119cde68e19c81e42cbc1e98","observation_id":"5dea75a9-acb0-4ce9-8cf8-1edb0ff85fdd","resolution":{"observed_at":"2026-08-08T17:40:03.596203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.600120Z","title":"Stochastic Processes and their Applications , volume=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.600120Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:3a8dfc22051054cd097d93f8d5b980094f62222c58b3fbfc97be5cd54728b922","observation_id":"c0ab4b57-d2ea-4f9a-a312-001cdbeccdb1","resolution":{"observed_at":"2026-08-08T17:40:03.600120Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.603686Z","title":"The Annals of Probability , number =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.603686Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:1c4cd000d207c97f890fba57eded3c861f9ee7e7a55676f2643b863300c82616","observation_id":"20036646-28b5-4b91-bac8-ec3a9bfe0c4e","resolution":{"observed_at":"2026-08-08T17:40:03.603686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.607202Z","title":"Conference on Learning Theory , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.607202Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:52b54d652626924c2b9c9e02d0f8ebb850ff25e296d3e96e7d9a43eb06220f91","observation_id":"0eafe395-16b9-4f0f-a8eb-58106c9dad17","resolution":{"observed_at":"2026-08-08T17:40:03.607202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.610860Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.610860Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:a805ab2f83f0192bfe71e2924ff75c33090d59ecc07402aa2c2c429281049e75","observation_id":"f0bbd40d-8358-42a9-89af-6a7ef63b8f7f","resolution":{"observed_at":"2026-08-08T17:40:03.610860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.614484Z","title":"The Annals of Statistics , author=","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.614484Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:4d4c4a507af1c07235c8bf8d6a24435886c5cb22192aba1356349b31a224e18f","observation_id":"14e8fc4d-94d1-4f4b-aa22-5146afd78b0d","resolution":{"observed_at":"2026-08-08T17:40:03.614484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.04753","last_updated":"2017-08-16T03:07:54Z","snapshot_observed_at":"2026-07-06T05:55:27.598127Z","submitted_at":"2017-08-16T03:07:54Z","title":"Frequentist coverage and sup-norm convergence rate in Gaussian process regression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.04753","snapshot_observed_at":"2026-08-08T17:40:03.618020Z","title":"arXiv preprint arXiv:1708.04753 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.618020Z"},"links":{"cited_paper":"/paper/1708.04753","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:59b4e658de591f359a8102c86035ab90f33e202c611ad6a907e6f9ddb7cc07af","observation_id":"b9811e03-04bd-47c9-9d41-18b2289f264c","resolution":{"observed_at":"2026-08-08T17:40:03.618020Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01610","last_updated":"2025-01-03T03:09:33Z","snapshot_observed_at":"2026-08-03T13:47:04.978338Z","submitted_at":"2025-01-03T03:09:33Z","title":"Bootstrap Nonparametric Inference under Data Integration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01610","snapshot_observed_at":"2026-08-08T17:40:03.621895Z","title":"arXiv preprint arXiv:2501.01610 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.621895Z"},"links":{"cited_paper":"/paper/2501.01610","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:874240384aab7cd5be47fc7c7d5e49ce5429e667d2d0f91524f54171ab9dd24d","observation_id":"c89b9eff-480c-4a48-b7e0-27b68ab221b7","resolution":{"observed_at":"2026-08-08T17:40:03.621895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.625842Z","title":"The Annals of Statistics , volume=","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.625842Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:5ee4e0eb3cc181ed9afa43f3ec45a185ff9f78ad2a21a7c1818e94c1470f23ee","observation_id":"d17d0d58-3756-40f3-8553-9eb891a99402","resolution":{"observed_at":"2026-08-08T17:40:03.625842Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.629636Z","title":"The Annals of Statistics , number =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.629636Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:a85091393ba3f1b7246b1fb3504cc32db80044a7f1bf5737f4da51994e21552d","observation_id":"3fd905a4-0412-4e5a-89ed-bdcaa0425530","resolution":{"observed_at":"2026-08-08T17:40:03.629636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.633112Z","title":"The Annals of Statistics , number =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.633112Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:5a0adf443b1a0f71ed86ad596c9fdf91d2c640f0d3be24feb684bc38fe1f9a42","observation_id":"45bcd66d-ac4f-4019-95f2-2b043847d491","resolution":{"observed_at":"2026-08-08T17:40:03.633112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.636669Z","title":"Tony Cai and Mark G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.636669Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:29b109f987b3758ec3b537d7da8528a239115a137dec8866abd12b91d56c79bc","observation_id":"c528cd52-302e-4a84-90f5-9983ee479394","resolution":{"observed_at":"2026-08-08T17:40:03.636669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.640154Z","title":"Mathematical Methods of Statistics , volume=","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.640154Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:42e1905a1990983db726fbb0e6716e2a1c3050e6e00ddf96e950909cd1f4454a","observation_id":"adf996c7-7131-4050-9b40-71041572beae","resolution":{"observed_at":"2026-08-08T17:40:03.640154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.644481Z","title":"The Annals of Statistics , volume=","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.644481Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:42de411bd07e54716fe15ddc8754fd229444963df2a7298b48c3d44fa9a74bed","observation_id":"ce35d0d6-8bfa-4222-859a-b840efb47e38","resolution":{"observed_at":"2026-08-08T17:40:03.644481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.647575Z","title":"The Annals of Statistics , volume=","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.647575Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:750cfdaf37a8608ef77956bdd2ee447abab22b2842537f32cc90bf94ff1afab3","observation_id":"46fcd557-dd84-420a-bfc0-7670a2099e8a","resolution":{"observed_at":"2026-08-08T17:40:03.647575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.650408Z","title":"The Annals of Statistics , number =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.650408Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:e40cdb9c706b6d60d3c2505f5992d28bb6f459dc2730c45e2adfaf78fd180bdf","observation_id":"e9a3c044-a53c-4566-83dc-2a32ba4e4cc4","resolution":{"observed_at":"2026-08-08T17:40:03.650408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.653440Z","title":"Bernoulli , volume=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.653440Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:6ef5bf6637030edff04f48c0099277e827f0700de17978b426da215c395894ff","observation_id":"58554a81-ff3e-4153-8a6d-d2fe630eb593","resolution":{"observed_at":"2026-08-08T17:40:03.653440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.656586Z","title":"2012 , publisher=","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.656586Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:4e15c1b778d05bd810b3cb92085fd7f18db07012b8934fca5fa613ce6bb2ff9c","observation_id":"0d93a647-83d8-4a44-a4ae-1ad8480435d6","resolution":{"observed_at":"2026-08-08T17:40:03.656586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.659603Z","title":"international conference on machine learning , pages=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.659603Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:13da12ea4d6eff9ee9e7f23163734ee658a56cfdbf39c50fa5b273da3468b38a","observation_id":"5cd77d15-dda5-4754-975e-6e7731c8d9be","resolution":{"observed_at":"2026-08-08T17:40:03.659603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.662535Z","title":"Journal of Machine Learning Research , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.662535Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:9bc568bbbe9f3c60a6de86f792d7d5fa18fb9a9088d89fe95ae643d550190a3f","observation_id":"d14e5e82-fa9e-4303-910f-fa870f9d6935","resolution":{"observed_at":"2026-08-08T17:40:03.662535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1608.00250","last_updated":"2016-07-31T19:02:39Z","snapshot_observed_at":"2026-07-06T05:05:31.419686Z","submitted_at":"2016-07-31T19:02:39Z","title":"On Regularization Parameter Estimation under Covariate Shift","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1608.00250","snapshot_observed_at":"2026-08-08T17:40:03.665372Z","title":"2016 23rd International Conference on Pattern Recognition (ICPR) , pages=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.665372Z"},"links":{"cited_paper":"/paper/1608.00250","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:3c504e62feb47b952ab594db2edacc690909261d33ada58464186fe16dedd497","observation_id":"08346bd8-0ccb-4fe3-9f57-84ad4b0b94bb","resolution":{"observed_at":"2026-08-08T17:40:03.665372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07344","last_updated":"2018-04-19T19:23:06Z","snapshot_observed_at":"2026-07-06T06:34:24.166201Z","submitted_at":"2018-04-19T19:23:06Z","title":"Effects of sampling skewness of the importance-weighted risk estimator on model selection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07344","snapshot_observed_at":"2026-08-08T17:40:03.668276Z","title":"2018 24th International Conference on Pattern Recognition (ICPR) , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.668276Z"},"links":{"cited_paper":"/paper/1804.07344","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:3d2a9ae444954e02d347f56cd5c369519bfe50d418bba05da3060c20e1af5cdf","observation_id":"f4f45f1c-abe3-45f0-8438-c5788a2075f2","resolution":{"observed_at":"2026-08-08T17:40:03.668276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.671038Z","title":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) , pages=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.671038Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:884c8480e7a9a1c75ac3125247600bd1be197b48e8a17e4d6a1cd4be46026a74","observation_id":"2c830400-1833-4d20-b17a-bb7bff935ba1","resolution":{"observed_at":"2026-08-08T17:40:03.671038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.673649Z","title":"Annals of the Institute of Statistical Mathematics , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.673649Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:a6aed2f87ed5b197144f9c9719908d3f89c620f3915a879de2743e7373b091f8","observation_id":"5d157732-a90b-4ecb-9098-e42996204f2c","resolution":{"observed_at":"2026-08-08T17:40:03.673649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.676121Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.676121Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:4c29828b34099a3aff47dc765204c11e885d920379234009a191342706468a65","observation_id":"0bfce74b-c323-4bfa-9fd7-53fa43440477","resolution":{"observed_at":"2026-08-08T17:40:03.676121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.679545Z","title":"Algorithmic Learning Theory , series=","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.679545Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:0b0c970b46fdb9aa4ae649cb9887efefffe48ea2742c8c3a91dcbc4274583862","observation_id":"18125697-4e59-41ca-8997-05fbae141d8e","resolution":{"observed_at":"2026-08-08T17:40:03.679545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.682033Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.682033Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:0ccd9c96a0745d1b8c97d7f5eba062450f3c0fd322c0a8d26f56e4a4b02723f0","observation_id":"366ced0c-4013-4380-8bcd-12b5d5dd7a56","resolution":{"observed_at":"2026-08-08T17:40:03.682033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.684547Z","title":"The Annals of Statistics , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.684547Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:633226e55c7ac09cf1b198ff88575f3d4f2b89107b487fe2bea73ba2a8935967","observation_id":"d19b3019-feb8-4939-a489-2a6bdf28453e","resolution":{"observed_at":"2026-08-08T17:40:03.684547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.686940Z","title":"arXiv preprint arXiv:2603.05897 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.686940Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:2cf1245d29b2f385fe09e76971a7c15a0798fc60cfa05da55f93518e9654fa49","observation_id":"927ee832-d775-4dd8-89a5-bcba82036cbb","resolution":{"observed_at":"2026-08-08T17:40:03.686940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06531","last_updated":"2025-05-10T06:26:12Z","snapshot_observed_at":"2026-08-07T15:48:16.222973Z","submitted_at":"2025-05-10T06:26:12Z","title":"High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.06531","snapshot_observed_at":"2026-08-08T17:40:03.689493Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.689493Z"},"links":{"cited_paper":"/paper/2505.06531","citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:48adce1c8cb218b2251f53cc9379a8c525ebe97b07206cc073c2b5e49cd9b4b8","observation_id":"f1b47f67-2a06-467f-80d5-96da0f16fc32","resolution":{"observed_at":"2026-08-08T17:40:03.689493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.693729Z","title":"Probability Theory and Related Fields , volume=","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.693729Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:fd9b386f0a54ebcd5effa29ee1fb41f6707e7361715975cb4325eeacf4d6353a","observation_id":"f6b2ee46-c63a-4dd9-9228-d2cdb33fba59","resolution":{"observed_at":"2026-08-08T17:40:03.693729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.697056Z","title":"Review of Economics and Statistics , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.697056Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:febd935a777fbe9243d905081fb9086ff128fcf7950574f5d541e04859ccc79f","observation_id":"701c7573-44fe-4471-962f-4475dc55d2e0","resolution":{"observed_at":"2026-08-08T17:40:03.697056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.700442Z","title":"Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.700442Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:3a53797a87caa0054a465268e6808904265a96f1001ae729ab748083c0ea5e4e","observation_id":"815a0569-1662-4158-abca-5fb3e2bceb19","resolution":{"observed_at":"2026-08-08T17:40:03.700442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.704139Z","title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.704139Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:e7c538399507067b07b0cdb0ee6b875a7efe790a4cd4306748a7e3fc8e9afb06","observation_id":"a43da904-98b0-45c5-9fd8-2d1d6f79b57f","resolution":{"observed_at":"2026-08-08T17:40:03.704139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.707807Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.707807Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:e9617be32327a06915af94abff9cf57a8673ec6a44b461d73c8307918f124964","observation_id":"8c3f3bbb-eb8b-40a5-b2c2-3b2cd1aa82a6","resolution":{"observed_at":"2026-08-08T17:40:03.707807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.711281Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.711281Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:dfa4000e88889629b0e2a77ef27f5d678dba16b362e5d61ec6ab07008e7b4e2c","observation_id":"678a2061-64aa-4e6e-a86a-db40958dde77","resolution":{"observed_at":"2026-08-08T17:40:03.711281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.714596Z","title":"Theory of Probability and Its Applications , volume=","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.714596Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:a8f58627fcf9ca92c76ffdc7ef25dce80862e4e28445b1b09d476e0c898e40d3","observation_id":"5b0b6a5c-d791-4019-9ddd-dc0a9279719e","resolution":{"observed_at":"2026-08-08T17:40:03.714596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:40:03.717898Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-08T17:40:03.717898Z"},"links":{"citing_paper":"/paper/2608.04860"},"observation_digest":"sha256:053f41216e6a07f6fd04a02dff830cbef6a9ddddb82ce3b0f61ffc1582380198","observation_id":"3bb999af-4347-4847-9016-3f1a2b0e3d7d","resolution":{"observed_at":"2026-08-08T17:40:03.717898Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.04860","last_updated":"2026-08-06T01:11:45Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-08T18:13:56.390498Z","submitted_at":"2026-08-05T13:51:43Z","title":"Nonparametric Goodness-of-fit Testing under Covariate Shift"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":69,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":70},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2608.04860."}