{"as_of":"2026-08-20T03:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6c92e214255562c131c8327b8a57b9d6f626fab3b36f4366ac2e5fe330894cb4","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:47:38.775539Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:47:38.673175Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-12T08:46:25.704712Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.19924","snapshot_observed_at":"2026-08-16T05:47:38.673175Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.673175Z"},"links":{"cited_paper":"/paper/2504.19924","citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:678d607e6c4b6569d660b394345ddfc622e0c75c9d674f0c4b833292845fc07e","observation_id":"0a1e3698-eef3-44be-8d0a-93759cafc34b","resolution":{"observed_at":"2026-08-16T05:47:38.673175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"cited_work":{"arxiv_id":"2504.19924","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.19924","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2504.19924 , year =","venue":null,"work_id":"268fbcd0-22c9-43c0-b239-5c699a805c32","year":null},"citing_paper":{"arxiv_id":"2605.03801","last_updated":"2026-05-05T14:27:57Z","snapshot_observed_at":"2026-07-06T23:16:40.201701Z","submitted_at":"2026-05-05T14:27:57Z","title":"Sparse Rank Regression for Restricted-Access Economic Data","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-07T13:51:27.056841Z"},"links":{"cited_paper":"/paper/2504.19924","citing_paper":"/paper/2605.03801"},"observation_digest":"sha256:285aa2aca7a4192e9a271ef8e8537d2768823804aa0a76ca5a063ac87dba4351","observation_id":"08d6b2ca-0f5a-4fa8-baa4-5a66e94a9825","resolution":{"observed_at":"2026-05-12T08:46:25.707542Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.19924/citation-record","integrity":"/paper/2504.19924/integrity","json":"/paper/2504.19924/citation-record.json","paper":"/paper/2504.19924"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.19924","snapshot_observed_at":"2026-08-16T05:47:38.673175Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.673175Z"},"links":{"cited_paper":"/paper/2504.19924","citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:678d607e6c4b6569d660b394345ddfc622e0c75c9d674f0c4b833292845fc07e","observation_id":"0a1e3698-eef3-44be-8d0a-93759cafc34b","resolution":{"observed_at":"2026-08-16T05:47:38.673175Z","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":"2026-08-16T05:47:39.045433Z","title":"Assumption","venue":null,"work_id":"1fcece09-5cf0-4788-af78-4d8351c696c3","year":2017},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.708455Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:ce2c0c86d2fe8096b315b789deee52699e1c3c8c15629a017305df5bcfd0a501","observation_id":"30b4ee1c-3275-4b41-b4c3-2460c5e49051","resolution":{"observed_at":"2026-08-16T05:47:39.049805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:39.117471Z","title":null,"venue":null,"work_id":"fc6865d1-6623-4203-9d19-5a929492a604","year":2008},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.683968Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:854cd480852924ec3410e8856e4b519acc3f09137c8328045506e166b862fe7e","observation_id":"ff2b37d6-727e-446a-81be-bf68752cbf54","resolution":{"observed_at":"2026-08-16T05:47:39.121889Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.874322Z","title":"For hypotheses where the DC test yields significantp-values (i.e., below 0.05), the CST show even lowerp-values","venue":null,"work_id":"1f1bdc53-0c5f-4be5-afec-fd98e8d4df3b","year":2013},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.759498Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:ac87ed17d649979f99bafc60ac7ce4102a4858885351b4101761133b958de3fa","observation_id":"6c5ff9a6-ffc7-4832-a317-d506cea6c1a7","resolution":{"observed_at":"2026-08-16T05:47:38.879347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:39.131053Z","title":"Taylor’s expansion","venue":null,"work_id":"02e7b081-f0a9-4c98-86f7-a5fc1c6874ad","year":2017},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.678889Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:c0dde40848e782d5686a40038aee6b8fed74cf7b90b7610eea01ad7b41957d89","observation_id":"23c6e96f-c4e9-462c-ac32-b79b56a6c613","resolution":{"observed_at":"2026-08-16T05:47:39.135625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:39.074382Z","title":"13 Assumption 4 (Homogeneity)","venue":null,"work_id":"b9f6d218-10d0-4c66-962c-76425c074888","year":2017},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.698455Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:8ad75c6e49a6bcc872b0a4d2027cda662fcd3886eddce05ea4dcdd91a8345f0f","observation_id":"55567816-9bbf-4201-b390-31c3ade26762","resolution":{"observed_at":"2026-08-16T05:47:39.078970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:39.059368Z","title":"Assumption 4 introduces a homogeneity condition to control variations in loss functions across local data sites, akin to the conditions in Fan et al","venue":null,"work_id":"c4be8d83-cc66-4935-b506-582fd5084713","year":2023},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.703862Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:de547f5bfd964f4ecf6fe08a274e8bf11a35a8512251db9d2a9f820a7d8321af","observation_id":"ea8739c4-b962-4f83-89fe-982ebbfcc2e7","resolution":{"observed_at":"2026-08-16T05:47:39.064508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.970058Z","title":"The positive definiteness of the Hessian essentially ensures thatb′′(xT iβ∗) is bounded away from zero with high probability, which is mild for sub-Gaussian designs","venue":null,"work_id":"da92e38d-f303-4d54-8fea-50616a3395b4","year":2012},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.731246Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:bfe09d02f0f150c36deeb91e67444453a2f7dad854d61137f97b3473beb3a15b","observation_id":"029802f8-9efe-4914-954a-d606f5c91890","resolution":{"observed_at":"2026-08-16T05:47:38.974865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:39.030898Z","title":"It limits our consideration to local alternatives with a bounded radius for∥h∥2 and also requires the regularity of the constraint matrixC","venue":null,"work_id":"cd4b45e4-ab5d-4530-ac96-887af4309a06","year":2012},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.713018Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:c9bacf246884ee10eb3cf8244ddf52cbd73725a8609720f0810b5692a1a4d820","observation_id":"0dd095ec-1189-4a45-a5e8-95c9d9b8e072","resolution":{"observed_at":"2026-08-16T05:47:39.035696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:39.015052Z","title":"16 For example, we can use the local ℓ1-penalized estimator computed on the master machine","venue":null,"work_id":"ec363bd5-fd81-4e3f-9d7d-96220d3a3c10","year":2009},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.717501Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:f3ce44e0e1246b6c459d1e2adebbdc58de838730c4e0d73bb47734b318a64b0a","observation_id":"da5f7cdd-7f17-4f75-aa47-524c459fb37e","resolution":{"observed_at":"2026-08-16T05:47:39.020588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.999805Z","title":"A common form of the irrepresentable condition can be formulated as follows: for a given valuea0∈ (0, 1), maxj∈Sc∥JjAJ−1 AA∥1≤a0, whereA is the true support of the specific problem","venue":null,"work_id":"dc6042a7-9a98-4744-8011-ebee38309be3","year":2006},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.721737Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:fa290b4fd7c91fbe4abaaae8e742b565075bb56030ae177ab0251fc942592a6d","observation_id":"b5526ef1-b4a8-43b7-be11-2b39c4a5bc6a","resolution":{"observed_at":"2026-08-16T05:47:39.005103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.985014Z","title":null,"venue":null,"work_id":"423440d9-226a-4613-a1d1-8b0acf77677e","year":2018},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.726841Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:c349a8a66e22cae954f8134cfe236ec120475b8949c88fe966038eee937cb578","observation_id":"f6991b3b-e571-4aa2-8e70-00cac59fa472","resolution":{"observed_at":"2026-08-16T05:47:38.990072Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.955027Z","title":"In particular, we examine the empirical Type I error and power analysis of the CST across different kinds of linear hypotheses and collaborative settings","venue":null,"work_id":"9aaeaf8d-340c-4f33-8d9f-a160574886bd","year":2018},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.735798Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:3dab53499b4405ebe336581680963b40c6871905ca3ae94c5d3e0f72ad43d0f6","observation_id":"a3433924-13f4-4f2b-89e8-5f4136dc1cb9","resolution":{"observed_at":"2026-08-16T05:47:38.960053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.940176Z","title":"Linear regression","venue":null,"work_id":"39466537-c9e7-462d-8803-6f075409300d","year":2018},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.740689Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:25aaeb677574d464bb518b6b45a2c67beb987d8f700cf8649c1f4c58fc672531","observation_id":"9ef1589e-2596-4764-ae45-7eece34aedbb","resolution":{"observed_at":"2026-08-16T05:47:38.944671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.906831Z","title":"In the distributed system, the company with the most trips serves as the master site, withn1 = 15, 282local samples","venue":null,"work_id":"b5c2b410-ad37-40cc-8ac5-cb83ea92cc85","year":2023},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.749879Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:10b31d679000d548238760712c6bdd915de641f9279c3dacdeeff003daed6a11","observation_id":"f294c23a-5cf9-456e-bcfe-8a13bd748991","resolution":{"observed_at":"2026-08-16T05:47:38.912571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.889747Z","title":"Specifically, we apply the sure independent ranking and screening (Zhu et al., 2011, SIRS) across all the170 covariates using theR package VariableScreening available in CRAN","venue":null,"work_id":"26a3e008-db46-4a11-a90d-ddcf3d37f740","year":2011},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.754527Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:a43739810495df6e6abaed2e58cb1955d5794f9350e80bdccc4fec0bbc3d0886","observation_id":"737fc292-c53e-4ee3-a137-3524d13e0c78","resolution":{"observed_at":"2026-08-16T05:47:38.894908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.858095Z","title":"Distributed testing and estimation under sparse high dimensional models","venue":null,"work_id":"4df1111e-6318-48c6-afbd-025422e74e55","year":2022},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.764667Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:ae5ebac3ac87054f28c6b78ea877fb6fd054c075a9f10e17f2b71b07d69a7f87","observation_id":"e5953cb5-dadf-4c61-9302-26b38fe9fc88","resolution":{"observed_at":"2026-08-16T05:47:38.863101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.841573Z","title":"Strong oracle optimality of folded concave penalized estimation","venue":null,"work_id":"119fe2e2-e19c-4ae4-8f12-16215fc65324","year":2014},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":841,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.770438Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:2486dcdb800844a3e6158ab898a2b32dce56b002b4ab4e143646718e3d70e132","observation_id":"20b57607-fe36-40f1-993a-45f2bd0be6ee","resolution":{"observed_at":"2026-08-16T05:47:38.847128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:39.088731Z","title":"Theℓ1 penalty (Tibshirani,","venue":null,"work_id":"d5b76ea3-135d-41af-ab86-940c0b7d11b6","year":2010},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.693810Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:dc84aa5e2ffcf88705ae84a118c7023f83b3c3b40dd60a3ccf4c28bc4c10f18d","observation_id":"0c70a11d-3b1d-400a-9954-195feb1f9227","resolution":{"observed_at":"2026-08-16T05:47:39.093038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:39.103110Z","title":"Third, partial penalization guarantees that no penalties are imposed onθ, the parameters of interest in our hypothesis","venue":null,"work_id":"a81f11c1-b4ac-42d4-b721-3f208cfb0e8b","year":2019},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.688844Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:22d4599ea8ef29ca6986583b3ec10b73950ce23afe331c804d996b6a6cc1074c","observation_id":"e0be0f88-1cd1-4f43-bdf4-89f873dfca08","resolution":{"observed_at":"2026-08-16T05:47:39.107883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.923671Z","title":"This filtering process leads tom = 10 companies, representing the top ten service providers in","venue":null,"work_id":"5ec603f3-fc0a-42c5-a386-e7965691af0a","year":2023},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.745063Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:1a8844151e1f905d0fd3e560a41887592f405cf576c69bcf873f286aecbdda6f","observation_id":"515fc8a2-ff8d-479e-8b45-6c51fc20cf0f","resolution":{"observed_at":"2026-08-16T05:47:38.928832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T05:47:38.824131Z","title":"A survey of tuning parameter selection for high-dimensional regression","venue":null,"work_id":"d764fde9-03f3-4db0-994d-ca6b5354e05d","year":2020},"citing_paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","version":2},"reference_index":3645,"source":"pdf_text","source_observed_at":"2026-08-16T05:47:38.775539Z"},"links":{"citing_paper":"/paper/2504.19924"},"observation_digest":"sha256:5f789272799657c92cc378c7a5f6759d71aa845245ba9e2546bf2ac2c0a97d40","observation_id":"e1d2bd8a-88a4-449a-ad50-4160e39b9c85","resolution":{"observed_at":"2026-08-16T05:47:38.830982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.19924","last_updated":"2025-04-29T02:15:36Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-16T10:39:22.813093Z","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":22},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2504.19924."}