{"as_of":"2026-08-16T22:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:30a6e6a82d57dae7bb8a601c102ca587d3dabd9113d3a845d26654e0370d1e81","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:32:37.956091Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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":"2026-07-12T07:46:03.995262Z","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":"2026-07-02T08:16:47.211887Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"cited_work":{"arxiv_id":"2508.12048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.12048","snapshot_observed_at":"2026-07-02T08:16:47.211887Z","title":"Wang, and K","venue":null,"work_id":"b5480ae6-d8d5-4d6b-bb8a-7cc7756e3da6","year":2025},"citing_paper":{"arxiv_id":"2607.00376","last_updated":"2026-07-01T03:20:57Z","snapshot_observed_at":"2026-08-15T11:36:18.459224Z","submitted_at":"2026-07-01T03:20:57Z","title":"Distributed Prediction under Heterogeneity with Unidentifiable Parameter","version":1},"reference_index":163,"source":"arxiv_source","source_observed_at":"2026-07-02T08:08:56.418989Z"},"links":{"cited_paper":"/paper/2508.12048","citing_paper":"/paper/2607.00376"},"observation_digest":"sha256:3e15267dfad806efd8c2acd80fa27a235e02159802bc51279a210c4f52f8785e","observation_id":"97d24b17-e88d-4df6-b36a-be362a8d6dbf","resolution":{"observed_at":"2026-07-02T08:16:47.214009Z","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":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.12048","snapshot_observed_at":"2026-07-12T07:46:03.995262Z","title":"arXiv preprint arXiv:2508.12048 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02681","last_updated":"2026-07-02T18:23:41Z","snapshot_observed_at":"2026-08-04T01:36:35.474781Z","submitted_at":"2026-07-02T18:23:41Z","title":"Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-07-12T07:46:03.995262Z"},"links":{"cited_paper":"/paper/2508.12048","citing_paper":"/paper/2607.02681"},"observation_digest":"sha256:24ba461c6ea22e4fb781eaac0b18aabbe3a1014e7842c64b2e6366b62935cc04","observation_id":"cb9b0aa7-641c-43d7-864b-ef81d15be958","resolution":{"observed_at":"2026-07-12T07:46:03.995262Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.12048/citation-record","integrity":"/paper/2508.12048/integrity","json":"/paper/2508.12048/citation-record.json","paper":"/paper/2508.12048"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.731586Z","title":null,"venue":null,"work_id":"5673a892-7290-4d30-9ce4-002d2a12f9d6","year":2021},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.734091Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:ab24c015c02bbfef90b587160b20649c238dd1d31f0c98e6b9eb309e9804a6d4","observation_id":"4b3ddeb8-1753-488a-9a3c-417c15681fb4","resolution":{"observed_at":"2026-08-15T17:32:38.736575Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2403.08628","last_updated":"2024-11-26T09:18:51Z","snapshot_observed_at":"2026-08-16T14:10:08.720473Z","submitted_at":"2024-03-13T15:41:20Z","title":"Optimal sub-Gaussian variance proxy for truncated Gaussian and exponential random variables","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08628","snapshot_observed_at":"2026-08-15T17:32:37.739462Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.739462Z"},"links":{"cited_paper":"/paper/2403.08628","citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:959f6dc790676564dddcf93fb8e0c916001e4d08809e36c5000804f2931a5284","observation_id":"f13ef768-c7e6-4980-a60e-e7dba12d749f","resolution":{"observed_at":"2026-08-15T17:32:37.739462Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.715961Z","title":null,"venue":null,"work_id":"8fd0ee0a-7164-4df1-a738-9b5f2f60c59a","year":2020},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.744664Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:2363b103e413731ab369f9ab1570f2dfd4316b2f6b1be89818d2dc646c57f14c","observation_id":"ac6e876e-153a-4c16-9e12-f81bf106febf","resolution":{"observed_at":"2026-08-15T17:32:38.721085Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.700401Z","title":null,"venue":null,"work_id":"17ab2dcd-7845-4328-a673-c911151d7dbb","year":1984},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.750955Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:d4028a7ac7603a93dfad6fd5a30ab59eba645ea9338ded27479c8ce7a5eb91e2","observation_id":"e050324f-c818-4c50-b78b-71c76058483f","resolution":{"observed_at":"2026-08-15T17:32:38.705298Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.684512Z","title":null,"venue":null,"work_id":"c6beea12-f07c-4db6-bf19-c3c07b6a33ef","year":2003},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.755745Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:f61e2568c5dd998d86f6070abebc600410461e2f9c4d026a3a8c581674f0a9b5","observation_id":"6e583e17-1eb6-42c3-8955-d7790808db7c","resolution":{"observed_at":"2026-08-15T17:32:38.689274Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.668651Z","title":"B., and Shi, M","venue":null,"work_id":"1921ec88-cfbd-4a82-9edc-fef24f79be94","year":2015},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.760522Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:bb7e5e53ccad09f540bfc1e8a8a5fbd9d704156b5fdbff673778ca52c206d39e","observation_id":"2ae680de-cbc9-4816-99ab-d30d1923e320","resolution":{"observed_at":"2026-08-15T17:32:38.674059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.653387Z","title":"and Jin, J","venue":null,"work_id":"7bf542a4-db80-4c88-8dc5-c1c3db60d909","year":2021},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.765843Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:37c3d3f4e3089f9157325d3d59470c1a373e3dfa4d32cf2a9bb4ca5310d08a56","observation_id":"1d81c7a7-c0f4-493b-b976-8265ecabbc5e","resolution":{"observed_at":"2026-08-15T17:32:38.658287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.638285Z","title":null,"venue":null,"work_id":"985d4dab-23ea-4d8a-8a16-f80a76b36ec2","year":2020},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.770373Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:638da9350ead4ed0bf204e40058e74b8b76045dc9ba4e065acb57805c51a79b2","observation_id":"66cbc689-1a97-4e9b-b328-4ac74fb39b42","resolution":{"observed_at":"2026-08-15T17:32:38.643022Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.623172Z","title":null,"venue":null,"work_id":"d5d80d68-d0b2-43a4-9bbc-a61ad933ab44","year":1999},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.775076Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:98d539309293bd28c0b002167091a60b93bce0275919b607ace5f0b824bcef4c","observation_id":"b797d6cc-9690-4f54-b430-4e0b502d7bd5","resolution":{"observed_at":"2026-08-15T17:32:38.627748Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.607541Z","title":null,"venue":null,"work_id":"640ee206-85b1-4947-8758-6756dc22836c","year":2011},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.779776Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:9b9f81e6c311ed389384cb9a42717cdf6811928fce095d93a54670594150368d","observation_id":"450be156-6512-4097-bfec-841c09e00b2d","resolution":{"observed_at":"2026-08-15T17:32:38.612652Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.591895Z","title":"and Marohn, F","venue":null,"work_id":"ed300dbc-4428-49a0-8eff-3e4a8eb093fa","year":1993},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.784457Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:03a2a19669042434651bc5c116c1dd78dc76d6b8f44a2ba2a33efa30641e6d80","observation_id":"19f9e665-e4e5-453e-ae47-9802ce8a4fb4","resolution":{"observed_at":"2026-08-15T17:32:38.596550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.576171Z","title":null,"venue":null,"work_id":"84bf00f6-0f4d-4abb-959b-bff9c00974eb","year":2018},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.789746Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:905ada2dd5d033fde5bb40a9d8eaa951bcddd34d111d572f4786d0de6c01990f","observation_id":"3c76af06-33b3-4ea2-9561-2e33c209fa06","resolution":{"observed_at":"2026-08-15T17:32:38.581083Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.560116Z","title":null,"venue":null,"work_id":"16bbdb3c-e78c-4e94-9599-229ec5f717b2","year":1983},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.795401Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:e72495a94c37eeb85c1403a726c44d1d8dbd5fe790aafe3df5f41b9140b3a1f3","observation_id":"01413498-cb5b-4714-bdb0-8dc0ff97d9f0","resolution":{"observed_at":"2026-08-15T17:32:38.564978Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.544277Z","title":"H., and Chen, K","venue":null,"work_id":"89c6579b-c9ff-41d5-86ce-54aaef4c5447","year":2024},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.799990Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:edb8ab5b4d437bcd4b9a5cfe8ba6bafd47a533dac580d0292c9485257f5f41ce","observation_id":"4d341bfa-78cc-4239-98c5-0ce89254426b","resolution":{"observed_at":"2026-08-15T17:32:38.549278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.528351Z","title":"T., and Li, H","venue":null,"work_id":"dafa4d98-a5ae-44fd-96e5-a71616a476d8","year":2022},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.805386Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:ffe5628d4b0a5c905147d3614d5883cebab0ba9aed3c78343cd21685050ce585","observation_id":"421ee7d0-6f1b-4473-a2cf-2901e7785cc4","resolution":{"observed_at":"2026-08-15T17:32:38.533405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.511510Z","title":"and Xie, R","venue":null,"work_id":"4524cd20-b026-4a9f-89c0-9a467f561325","year":2011},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.810454Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:d91bbbf1b65824a1479e734adcbb07ddb14f60949176f8b25258aaa735537782","observation_id":"cfd43095-0af1-448c-8f77-a8fdfa7d02f0","resolution":{"observed_at":"2026-08-15T17:32:38.516568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.495064Z","title":null,"venue":null,"work_id":"1f74080f-d6af-47a9-9ef4-84e37b01363b","year":2015},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.816891Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:21ab0fc89299804b6001b92166e7926558e2372303e60c9b7350e9bc208d7b0f","observation_id":"6b41e2f2-6bdb-4b12-9a01-68eebd61dd6b","resolution":{"observed_at":"2026-08-15T17:32:38.500251Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.478717Z","title":"W., and Yu, B","venue":null,"work_id":"386015e2-180a-4d66-8592-9447c668aebe","year":2015},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.822075Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:39cbc14377bed11421aa2f9d34ec76b5372d2a282e1d7eea038fe84d0c50e014","observation_id":"8470547c-acef-46bb-b5b8-00b098089593","resolution":{"observed_at":"2026-08-15T17:32:38.483463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.461497Z","title":"and Sun, X","venue":null,"work_id":"ffcb7187-b9c7-43db-992c-bb4037082226","year":2015},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.827199Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:35b4bcbd4224e82673e5559e50a45d6b3d73449f7906de77a399514222e62de2","observation_id":"864d6998-ca83-4a5a-aeeb-f73a160f466d","resolution":{"observed_at":"2026-08-15T17:32:38.466499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.445636Z","title":"and Sun , X","venue":null,"work_id":"b8a20c71-218b-4c45-a54d-ffdca7d04fa9","year":2015},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.834296Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:0646cb9dc4f0474b67fff54b69c3e65b52fb07e4d3ee1cf913279db276169d68","observation_id":"77cef90c-85c1-4151-ba1b-fe3707331b1a","resolution":{"observed_at":"2026-08-15T17:32:38.450513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.425413Z","title":null,"venue":null,"work_id":"d5fe64df-0a90-45ca-a26f-f96bf6584472","year":2019},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.839143Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:2b58ebf70850a72dafcc5e8d88d18f46d58db5f9899807402d7b15cba389ce67","observation_id":"186c9bb7-798a-436f-8483-8348c17093a8","resolution":{"observed_at":"2026-08-15T17:32:38.431696Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.408992Z","title":null,"venue":null,"work_id":"b59e2bd7-caf3-4409-b358-3be62017e2f2","year":1994},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.843673Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:968226fdf247d11dbb6ab1323fffb6af4b6841fe3acae7d69a24e73d0f7b71be","observation_id":"84b8d2dc-b61f-4fdb-bb9c-6f1b3a3e9f5d","resolution":{"observed_at":"2026-08-15T17:32:38.413814Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.393178Z","title":null,"venue":null,"work_id":"a7bd9b37-540c-42d1-9c85-bc17032fe585","year":1959},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.848811Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:5d12a19fc867b2e5bd854347ace5c1f8a61fea15116f2fecc4dbaf38231e7b70","observation_id":"714d32bb-1eb2-4c23-8640-6bf859a785a3","resolution":{"observed_at":"2026-08-15T17:32:38.398453Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2501.03694","last_updated":"2025-01-07T10:44:34Z","snapshot_observed_at":"2026-08-16T12:59:32.307873Z","submitted_at":"2025-01-07T10:44:34Z","title":"Finite-sample properties of the trimmed mean","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03694","snapshot_observed_at":"2026-08-15T17:32:37.853395Z","title":"I., Orenstein, P., and Rico, Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.853395Z"},"links":{"cited_paper":"/paper/2501.03694","citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:f0311fb986dc032671297cfc01aa2c8a9f3fe63f158f789bbba36f9ac4e99116","observation_id":"23dbb29f-2136-4084-ae76-8558558d802a","resolution":{"observed_at":"2026-08-15T17:32:37.853395Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.377593Z","title":null,"venue":null,"work_id":"8f9830ed-6cbe-4dca-a650-b04da739cd81","year":2019},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.858434Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:dd33f0ddf4eeb63ca00e3902a1f70242f63cac62138aac76886f7545d0472282","observation_id":"0c29a61a-bae5-4620-bdb2-c7447bd553f3","resolution":{"observed_at":"2026-08-15T17:32:38.382355Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.362356Z","title":"T., Marx, Z., Kaelbling, L","venue":null,"work_id":"9628b797-337d-49f9-b0e3-00cf16211b07","year":2005},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.863850Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:51979f6cb325b941e373dd8f183bee269f75ca63d9e13f364e7d33a7f6206a1a","observation_id":"22fae590-6aea-4f51-b65f-40dda478347f","resolution":{"observed_at":"2026-08-15T17:32:38.367145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.347249Z","title":"D., Wu, J., Wang, C., Yan, J., and Chen, M.-H","venue":null,"work_id":"f86149c8-53d1-440f-bc2c-2422b4be6cda","year":2016},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.869130Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:e70cb6e486e58c84df5b4ef0635f09cc5b16b76c0c07f3d6deb39c80e8c214f0","observation_id":"82bc7cdc-fffa-40fc-8566-3f16750cf341","resolution":{"observed_at":"2026-08-15T17:32:38.352366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.331419Z","title":"and Chen, K","venue":null,"work_id":"e83fa8b3-edc2-412b-b856-53ad844961a8","year":2017},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.874326Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:538e792a9da3487a3db4302d2c5c90352fe67d2bc67aa35d4f5eae94736a928c","observation_id":"5310a68b-4790-4751-b7c9-64a96750b2b0","resolution":{"observed_at":"2026-08-15T17:32:38.336910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.315812Z","title":"and Owen, A","venue":null,"work_id":"56aa7804-6f0a-493b-9d0b-b6657f064c49","year":2011},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.879088Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:0ec0f836d94cfdaeed0285551e5f9f66de6c86c0f0307bd0739fdd13b92833fc","observation_id":"49f2afcd-9435-4953-b3e5-bce173f25cc4","resolution":{"observed_at":"2026-08-15T17:32:38.320414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.298730Z","title":"and Stufken, J","venue":null,"work_id":"3dfb14c8-055b-4bf2-9485-46184d99b3af","year":2023},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.884003Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:16bce50eb6696057a7f845f8838b32d7666a4071e3aab5dc2d6463809cf4b232","observation_id":"e0c54652-922a-47ea-8bf1-65f723ee2ba5","resolution":{"observed_at":"2026-08-15T17:32:38.303794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1302.3430","last_updated":"2014-04-25T11:40:06Z","snapshot_observed_at":"2026-08-15T00:28:46.316192Z","submitted_at":"2013-02-14T15:29:20Z","title":"Bernstein - von Mises Theorem for growing parameter dimension","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1302.3430","snapshot_observed_at":"2026-08-15T17:32:37.889186Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.889186Z"},"links":{"cited_paper":"/paper/1302.3430","citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:89ba2ca29bb03fe5b0b0abe70b02018325b3ed1a597d0ffcb5bad9c482d515c5","observation_id":"9e0906e5-eab6-49f4-b39d-3d5e0ab2e4c3","resolution":{"observed_at":"2026-08-15T17:32:37.889186Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.282732Z","title":null,"venue":null,"work_id":"58eed3de-e1d8-4f9f-9dd4-aa1a6cc8898b","year":2020},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.895142Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:9a575d737f0a972bb58816eee36b065a4f33844e36188e85177c74db5659a54b","observation_id":"d9655c40-2f27-4e11-bbdb-a9cbabdd83bb","resolution":{"observed_at":"2026-08-15T17:32:38.287608Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.267407Z","title":"and Feng, Y","venue":null,"work_id":"cb56e627-db19-4063-8a94-e6e88ab6df69","year":2023},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.899837Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:ca165f79671f3868995a9ba8ea5438fb74adf252905407fcd8ba2dee13c3fe1f","observation_id":"46f32b7c-6412-4ba7-9a3f-797f31ca8be5","resolution":{"observed_at":"2026-08-15T17:32:38.272334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.250994Z","title":null,"venue":null,"work_id":"0022e983-1e11-4ba5-af78-c56e8cd93eeb","year":2019},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.905090Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:46e4515bddf4e622ef71972b56f3fbcb5ea2c84d83bebfd8c36f9cc0a483184a","observation_id":"03977646-4eee-4e53-9c80-c1f2b045ad2d","resolution":{"observed_at":"2026-08-15T17:32:38.255803Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.235731Z","title":null,"venue":null,"work_id":"99a126c7-1eae-4bf4-99b2-de2705f8c175","year":2019},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.909698Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:40b9815ce0d0e2818ef9de05eb9876ff7b866d0842d6c3eae754f8d7555a637c","observation_id":"c1b3a51e-c158-41a5-a339-b1834488af40","resolution":{"observed_at":"2026-08-15T17:32:38.240473Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.218616Z","title":null,"venue":null,"work_id":"f01e2a71-59c5-4be5-a77b-6f05210f9882","year":2018},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.914739Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:e299427e8251d4820d4767ae4c19918d52799b1809cf5d9a12186b40e5788ac2","observation_id":"73101ef0-680c-4887-9f71-02b86d7a3a63","resolution":{"observed_at":"2026-08-15T17:32:38.224448Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.202034Z","title":null,"venue":null,"work_id":"81700698-19e1-42ea-a9cd-1095ec69565f","year":2022},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.919251Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:743a39c3b7d270c5b3bf8c781d279833ba12ebff5d07f2be70c630df2a5521f4","observation_id":"77d22548-022f-4aaf-a038-532d9c7c5876","resolution":{"observed_at":"2026-08-15T17:32:38.206811Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.186148Z","title":null,"venue":null,"work_id":"1b3a2a07-47da-4ba6-a307-af366453b0ec","year":2022},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.924180Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:c739f06b378699cb73faac5d2830dca04f3ff63db9c0f0d91973bc8c5e6e82d9","observation_id":"95ed2029-bf1b-4173-a978-0e34113974f0","resolution":{"observed_at":"2026-08-15T17:32:38.190912Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.170551Z","title":null,"venue":null,"work_id":"b3912ec3-e40e-48b4-ab42-a3352007fb29","year":1977},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.929288Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:9145c8dd3b0431ed9e72ddf18c5dd2fcd9e8330eb509c70fe7b2b2054a443ba8","observation_id":"36ff48ec-26ee-497a-9b7f-a5e786a16eb8","resolution":{"observed_at":"2026-08-15T17:32:38.175150Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:37.936353Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.936353Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:d12a8b1d57046d27a46b04ab0034819dd08d43b9f397b150d21dd7ae9079e25c","observation_id":"37cc7d82-22f1-408d-9d72-37950dc557fa","resolution":{"observed_at":"2026-08-15T17:32:37.936353Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.154732Z","title":null,"venue":null,"work_id":"bc178284-362f-4ba7-bbda-3baa45c86d59","year":2024},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.941261Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:21fc674d06e54dc3a9233cef3f2216360d4d0238f727f9c3a74d8b26191d26ee","observation_id":"cf24aa42-8a12-498d-a648-7837dd03b252","resolution":{"observed_at":"2026-08-15T17:32:38.159503Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:38.137303Z","title":null,"venue":null,"work_id":"af67f923-3bef-4562-9341-0d3198f830ef","year":2021},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.946144Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:b8f92ca2e25245392467bf011b3d631eb842138fddb678910d771679465680dc","observation_id":"a028445e-e72e-4784-97bf-30b93bccb608","resolution":{"observed_at":"2026-08-15T17:32:38.143717Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T17:32:37.950702Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.950702Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:c493dacfea7168b3b8a3d94f87040778b5c1f72b140ecd319d8d8060c5a71bd8","observation_id":"dcd5ea79-a946-4b39-ae3d-bbea32615210","resolution":{"observed_at":"2026-08-15T17:32:37.950702Z","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":"2026-08-15T17:32:37.956091Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T17:32:37.956091Z"},"links":{"citing_paper":"/paper/2508.12048"},"observation_digest":"sha256:23606b0aa7c850b040c181b904f63ad0480e8b72a36dfdd50afe057a8b583250","observation_id":"f52dbfd3-db88-4270-abbb-58761d56c5e2","resolution":{"observed_at":"2026-08-15T17:32:37.956091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.12048","last_updated":"2025-08-16T13:49:26Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-15T17:23:28.472309Z","submitted_at":"2025-08-16T13:49:26Z","title":"Robust Data Fusion via Subsampling"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":29,"verified_exact":0,"verified_fuzzy":15},"total_outbound_references":44},"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 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2508.12048."}