{"as_of":"2026-08-08T18:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb81fd9c79d79f7353a3b3d7572016ef1af2a94ff19ab10e6739dd61b8cda78a","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:22:10.829911Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:58:43.512782Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T11:58:44.168191Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"cited_work":{"arxiv_id":"2505.15493","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.15493","snapshot_observed_at":"2026-08-07T11:58:44.168191Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","venue":"eess.SP","work_id":"44c09f88-86ca-4415-b3eb-7bee3ca44978","year":2025},"citing_paper":{"arxiv_id":"2506.01154","last_updated":"2025-06-01T20:13:40Z","snapshot_observed_at":"2026-08-08T13:46:27.965161Z","submitted_at":"2025-06-01T20:13:40Z","title":"Wasserstein Distributionally Robust Adaptive Beamforming","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:58:43.512782Z"},"links":{"cited_paper":"/paper/2505.15493","citing_paper":"/paper/2506.01154"},"observation_digest":"sha256:6ab127bf85768bd623ddf964cda37ab8c2542ff6b29188dd1407e3b08552b78a","observation_id":"271f8daa-54ff-4098-a1af-7a6292a1630e","resolution":{"observed_at":"2026-08-07T11:58:44.288768Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.15493/citation-record","integrity":"/paper/2505.15493/integrity","json":"/paper/2505.15493/citation-record.json","paper":"/paper/2505.15493"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:19.198666Z","title":"Chapter 9 - Recent advance s in network beamforming,","venue":null,"work_id":"dd454305-b34d-4de6-bff7-a566a536f7f0","year":2018},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.213263Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:5126214fc95bca9e63ae50c3da993055790e6bac529676a35f0b4596a6d87d75","observation_id":"26e79cf0-5d74-4314-b89f-cc4d2d5875d7","resolution":{"observed_at":"2026-08-07T15:22:19.277389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:19.084114Z","title":"Beamforming: A versatil e approach to spatial filtering,","venue":null,"work_id":"7a0f4271-be01-4fce-a6c0-d99478728920","year":1988},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.266184Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:2e4d96a200026ddddabc0a02390bdc0570a553b83d7a637930184239212901a4","observation_id":"f33aaa55-ed04-4fa3-9d0b-85364bf46be9","resolution":{"observed_at":"2026-08-07T15:22:19.142608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:18.960523Z","title":"Chapter 12 - Adaptive and Robust Beamfor ming,","venue":null,"work_id":"323d26c5-27ce-4296-ac28-7898c64cda47","year":null},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.369570Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:7b92dcef8721659836d0ca2f88b5ed90cc2f9af284e5617e7ccf2e6be49224f1","observation_id":"2e4dc6c8-9dbc-4519-a2ec-2ee3523432d2","resolution":{"observed_at":"2026-08-07T15:22:19.033829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:18.771327Z","title":"Li and P","venue":null,"work_id":"79300f1b-9cfa-4f13-9ce5-2642160f550a","year":2006},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.451777Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:20dcbc6274c364ca1c47fb26bf9d421096874443b340fbc6b61fa5fbe00ec0ec","observation_id":"9f652e63-0d1c-40f1-a981-1213dce42878","resolution":{"observed_at":"2026-08-07T15:22:18.857552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:18.573357Z","title":"Convex optimization-based beamforming : from receive to transmit and network designs,","venue":null,"work_id":"d16fd32e-e8f6-4e11-b18a-c72d378a1c20","year":2010},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.552027Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:125087ce04efab051601e7bf7de548d4454cf8c9960fc68b8f0d536eb6a3b3dc","observation_id":"ab544240-c600-4542-870f-bd12a19f95d4","resolution":{"observed_at":"2026-08-07T15:22:18.656270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:18.434584Z","title":"Principles of minimum variance robust a daptive beam- forming design,","venue":null,"work_id":"4abae550-6238-410a-abb4-e572ec5c089d","year":2013},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.630763Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:e9e8fc657a5cd9c50be5960c55385d2d3cee6d80664154de2e3deaa8f9d9e40c","observation_id":"301c7b92-34e8-49b3-a3ea-9c5da17327d7","resolution":{"observed_at":"2026-08-07T15:22:18.507053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:18.348258Z","title":"Signal waveform estimation in the presence of uncertainties about the steering vector,","venue":null,"work_id":"d404bacb-6ce6-4251-9383-5e9c60723cf5","year":2004},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.752383Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:cdd94c2e24020217a85861529c4b5334ada30cffbc1f89ad319f9431164b5e0d","observation_id":"8a3e4cbc-19dd-416d-8a41-830e79499e57","resolution":{"observed_at":"2026-08-07T15:22:18.385485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:18.173549Z","title":"Performance analysis of beamf ormers using generalized loading of the covariance matrix in the presenc e of random steering vector errors,","venue":null,"work_id":"c3688b1d-2471-42f8-9ff4-d163e5c64bb9","year":2005},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.848299Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:a4f7e849ecacf864b807aaf71b41edf4f0fb5f71704ec2e966f2473f5781bd51","observation_id":"5326d294-21c6-40fe-9939-63b16f1cf014","resolution":{"observed_at":"2026-08-07T15:22:18.242828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:17.931260Z","title":"On the relatio nship between robust minimum variance beamformers with probabil istic and worst-case distortionless response constraints,","venue":null,"work_id":"1d704e8b-5ac8-4ecb-ae1c-2a1927eb114f","year":2008},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:07.923816Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:7fa74741e3baf1890ca15d524417cc24bfd485532a2575b2cb2a7bf38b5b7153","observation_id":"fae83d8d-53b1-43e4-b08a-b4520d8a58d7","resolution":{"observed_at":"2026-08-07T15:22:18.009226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:17.709746Z","title":"Robus t adaptive beamforming using worst-case performance optimization: A solution to the signal mismatch problem,","venue":null,"work_id":"17e79ab9-7f7a-4a03-944b-3e978a2734a9","year":2003},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.009366Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:b6302a6fbccce9900f270c9ddda2f8041d65f208e2e0b048d10b7c88e76e7540","observation_id":"4066396c-c4a0-44fd-ac87-4deabf8b03f0","resolution":{"observed_at":"2026-08-07T15:22:17.795711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:17.559428Z","title":"Robust beamforming via worst-case SINR maximization,","venue":null,"work_id":"217ec3e8-eb34-41f6-b15a-66fe5a539e9f","year":2008},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.095653Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:acdfab16493a01c04249578057fa075175a6070e51e28ce74e749166a67ef1b7","observation_id":"1e5be5df-ca58-417a-b026-e060c8501198","resolution":{"observed_at":"2026-08-07T15:22:17.612227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:17.346615Z","title":"Robust ada ptive beamforming via worst-case SINR maximization with nonconv ex uncer- tainty sets,","venue":null,"work_id":"f4461f5a-2332-4d2f-9033-3707352cf7e9","year":2023},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.173803Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:0da8352ade3675f231b10d38df5d2c90477f02fb10e3fc5b6cb7fe55ea730705","observation_id":"1615c3de-167b-49ea-bbb6-8d4cf9d7db5d","resolution":{"observed_at":"2026-08-07T15:22:17.436850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:17.166347Z","title":"Shapiro, D","venue":null,"work_id":"efa9f922-7dfe-4b9f-8776-6db5ca7377a9","year":2014},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.282057Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:697695015d2c07109554c8ac0a4e761ebb192bcbfee3c441d689f019ba61f2db","observation_id":"de752f5e-578e-4191-9ada-4f19bdbc385e","resolution":{"observed_at":"2026-08-07T15:22:17.202703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:16.965252Z","title":null,"venue":null,"work_id":"6746f53e-8e83-4b93-82a8-53cf69127be7","year":2011},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.383394Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:c6322101453329b5347fa1ba731e5e8c01327ee64c4267b9024b85fa8a0cb307","observation_id":"03537444-d7d3-4f64-bdb1-fa407cf7759f","resolution":{"observed_at":"2026-08-07T15:22:17.083364Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:16.832119Z","title":"Frameworks and results in di stributionally robust optimization,","venue":null,"work_id":"4d023dce-fdb8-415b-ba11-528a235131c5","year":2022},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.463949Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:0bc7e71ad1143227e3876d4597fc2cca1d09b0f8549963b55a67ca3d96de84e4","observation_id":"21e69e37-c2f4-4ecc-9148-e0f868aba609","resolution":{"observed_at":"2026-08-07T15:22:16.891851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:16.594968Z","title":"Quantitative Risk Management Using Robust Optimization,","venue":null,"work_id":"22f8c6c1-ee0f-4019-bf19-970308dd22b8","year":2021},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.550522Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:abaa72993bb91d26dcc44f26952eb737de4eba4825e904f15bb74fa6431d7a10","observation_id":"4a99e440-86f4-410a-afef-cfbae2b5c6f5","resolution":{"observed_at":"2026-08-07T15:22:16.752308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:16.404008Z","title":"Robust minimum variance beamform- ing under distributional uncertainty,","venue":null,"work_id":"eeadad4c-1c0a-492a-bc33-6d2d1cd7ff0e","year":2015},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.618732Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:756f850e3ed5f472e76fc32bb2f7828edad5ddba8271578076c701aa7a9babea","observation_id":"fcff37c8-cb8f-4ce3-8ba6-7027c15333ac","resolution":{"observed_at":"2026-08-07T15:22:16.497887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:16.148940Z","title":"The S-procedure and duality relations in nonconvex problems of quadratic programming,","venue":null,"work_id":"710cad90-768a-4437-abff-2bddbf78b015","year":1979},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.729474Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:d523ecfef9a2e2686cae99bac4d97386909de3b00a6599ba1627da6b90495465","observation_id":"91b0dc73-6b14-437f-a7f9-7cc76bea8faf","resolution":{"observed_at":"2026-08-07T15:22:16.242683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:15.905779Z","title":"Distributionally rob ust chance- constrained minimum variance beamforming,","venue":null,"work_id":"0663920c-3529-4dc3-afbe-36ad0ada895c","year":2016},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.844371Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:8f731dcb587ce4567f8e3342757799f13a7260a3f960b4ac2792d2286521dc45","observation_id":"02a764eb-9476-4598-b1f2-707a5f4b0fa8","resolution":{"observed_at":"2026-08-07T15:22:16.032932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:15.747080Z","title":"Distributionally ro bust joint chance constraints with second-order moment information,","venue":null,"work_id":"d0c06057-55e0-4ebf-bc26-3106aba5a266","year":2013},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:08.983087Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:0176313c45598e0672842599b4b9a6378cea56880e2d924029925b4fc95ce830","observation_id":"424d43f3-5723-43ec-8134-23393cec6d8b","resolution":{"observed_at":"2026-08-07T15:22:15.827192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:15.524923Z","title":"A distributionally r obust minimum variance beamformer design,","venue":null,"work_id":"09811535-612a-4902-94e8-5d36f0e650f2","year":2018},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.092954Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:555efa73b2297fbc38f234888bef1bc6c1b1a50fa4c42dd137b1b8a598cfcd95","observation_id":"fbc9b78a-e611-417b-b91e-96d68a7c28a5","resolution":{"observed_at":"2026-08-07T15:22:15.621916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:15.298119Z","title":"Robust adaptive beamforming based on inter- ference covariance matrix reconstruction and steering vec tor estimation,","venue":null,"work_id":"67e4a41d-4a96-49ab-adb4-a30267ca10bc","year":2012},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.180012Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:99c70be0381fedda5d19f87a671c4b58b6a28a332f6f2d2f7cd6a95672deecf5","observation_id":"9277dd60-52a7-4dbc-a43a-7a8db0f4de8a","resolution":{"observed_at":"2026-08-07T15:22:15.414889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:15.041377Z","title":"Robust adaptive beamformin g using a low-complexity shrinkage-based mismatch estimation algo rithm,","venue":null,"work_id":"ca2807b7-96d9-4903-9cad-36ccb3b035f3","year":2014},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.221138Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:0086f0229cef1a3b926e901a37be87ab88ece00c622603aaec0fb37067f003d9","observation_id":"18b27fa6-22bd-41c6-8b26-f684192a08ac","resolution":{"observed_at":"2026-08-07T15:22:15.149656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:14.769058Z","title":"Robust adaptive beamformin g based on low-rank and cross-correlation techniques,","venue":null,"work_id":"0ef0e6c0-5a4b-4de0-9192-5ce27baa53f3","year":2016},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.290244Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:1b0e7befd8448feb11a58147b866efafde90873bfb0f453b1c14b2ba78fce92f","observation_id":"7a5ce602-bf0d-46b7-b2aa-a059f1f4a639","resolution":{"observed_at":"2026-08-07T15:22:14.906674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:14.496418Z","title":"Robust adaptive beamforming based on power method process ing and spatial spectrum matching,","venue":null,"work_id":"ab228d6d-84db-43d2-bfef-3c061d71d45e","year":2022},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.388512Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:7d5307a065808c2a1ba3918d0b7c8d1721fd132253bfdf544ae858b41e8a0e04","observation_id":"84d5418b-644f-4db1-a3d6-cc38d3398173","resolution":{"observed_at":"2026-08-07T15:22:14.620668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:14.269856Z","title":"Robust adaptive beam forming with a novel interference-plus-noise covariance matrix re construction method,","venue":null,"work_id":"e3aae609-e276-4df8-87d2-b6d9beb217d3","year":2015},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.430431Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:024b3c309f0cc9c9576c33ce070f86c37df48ca4e1b1dec83ff9a3261d81d707","observation_id":"01b1cfe9-b5f3-4c8e-a57a-f42b1807c209","resolution":{"observed_at":"2026-08-07T15:22:14.373063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:13.899629Z","title":"Interferen ce- plus-noise covariance matrix reconstruction via spatial p ower spectrum sampling for robust adaptive beamforming,","venue":null,"work_id":"41154719-5084-4b6e-bb93-9c94151f803f","year":2016},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.541271Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:828f8724ec6e18aa8ded2875b5f59b6bb54621a1280716b53e1c17a25c4e6c58","observation_id":"9a559c7e-0a3b-4dd8-9e92-85fbcbcf4450","resolution":{"observed_at":"2026-08-07T15:22:14.048112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:13.666205Z","title":"Robust adapt ive beamforming with precise main beam control,","venue":null,"work_id":"890e7c79-8ac4-4985-82db-11e405032a04","year":2017},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.644794Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:b587a3b951ce5b279570ba2b175fee503cdbe94fdb686afcd1d012a06722cee5","observation_id":"cc869f0b-e4cd-4f92-8b28-c64480bc0254","resolution":{"observed_at":"2026-08-07T15:22:13.778722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:13.296855Z","title":"A bayesian approach to in- formed spatial filtering with robustness against DOA estima tion errors,","venue":null,"work_id":"1a062f1f-fc8d-4a94-af1f-4d821e551cd9","year":2018},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.750124Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:6d0a46bbb64af87f778868e7557383cceb9b1c1d596b0d1a266bc45831e14b6a","observation_id":"417d3ef3-3f63-4e4b-b154-3a3ccdfea343","resolution":{"observed_at":"2026-08-07T15:22:13.474373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:13.053322Z","title":"High-dimensional MVDR beamforming: Optimized solutions based on spiked random ma trix mod- els,","venue":null,"work_id":"bde70fc5-ab33-4201-8bb7-0471d061a363","year":1933},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.855198Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:ce51a202908cea4aa826f32a1bd04e09d4a5dec1782b2d56ffcd2692ff369086","observation_id":"6d1531b2-1604-4e17-b5d2-e9c0596b525b","resolution":{"observed_at":"2026-08-07T15:22:13.170582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:12.788088Z","title":"Robust adaptive be amforming maximizing the worst-case SINR over distributional uncert ainty sets for random INC matrix and signal steering vector,","venue":null,"work_id":"0f6e0a15-6c6b-455a-bb59-33eecc35d8be","year":2022},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:09.928373Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:f18fa4f38418491faf69d71bd98606b96a45c3a82c0fab80c65d2bcb508a523d","observation_id":"6b138acd-f9bf-4126-b120-39a5c821ea68","resolution":{"observed_at":"2026-08-07T15:22:12.918112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:12.525264Z","title":null,"venue":null,"work_id":"dbf54f78-ae0e-4377-bba9-9d3baa60a8a2","year":1995},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:10.059881Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:212d20e8a986307094af604ea56044b251b765c7fa2604d2853c82cd742c1fbc","observation_id":"42c814dd-6f3e-450e-8cb9-cc2d0ed7b6ba","resolution":{"observed_at":"2026-08-07T15:22:12.626516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:12.303063Z","title":"Beck, First-Order Methods in Optimization , MPS-SIAM Series on Optimization, SIAM, Philadelphia, PA, 2017","venue":null,"work_id":"3bbfa359-ecd8-4827-a3b8-a88b7a6118ab","year":2017},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:10.155653Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:32737ad2b05b8bbe0ace7bd17c0b6035f57f3d76ac7b897deaf613f2fcdc64a3","observation_id":"0c3fcd16-6b26-4cdc-8e54-960e41acad4c","resolution":{"observed_at":"2026-08-07T15:22:12.416716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:11.974047Z","title":"On duality theory of conic linear problems ,","venue":null,"work_id":"afd059a4-7949-48c1-a46b-d8cf8eef2d25","year":2001},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:10.220633Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:92890ef9ddac3d91cb81158fc701289673c88f6952da250858283f24f14949cb","observation_id":"72b5bf48-a1b9-4d05-95db-e0e5757bcb55","resolution":{"observed_at":"2026-08-07T15:22:12.126454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:11.720077Z","title":"Nesterov and A","venue":null,"work_id":"eaf56f51-1e69-4f2d-98db-b21d36c18530","year":1994},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:10.328686Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:ecad9b5d3ff28879d4eabe55271b18694a7aec999c2b957c88a32ef32d28d6a3","observation_id":"0c2844da-264a-4983-9617-7f469ba0e8e0","resolution":{"observed_at":"2026-08-07T15:22:11.881930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:11.496333Z","title":"Robust adaptive beamforming based on steering vector estimation w ith as little as possible prior information,","venue":null,"work_id":"3d327ffb-ea1a-428d-a2d2-9297911cf25a","year":2012},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:10.495624Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:24fc9576055f73d8c21ccaf8d4e0c9801907f366f2808a2230e8f978eb534f20","observation_id":"df5bebf4-fe36-43dc-9030-b1a19988c761","resolution":{"observed_at":"2026-08-07T15:22:11.605682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:11.288118Z","title":"CVXPY: A Python-embedded model ing language for convex optimization,","venue":null,"work_id":"802cce0a-122a-4b75-9b8a-94ac2dfbadeb","year":2016},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:10.636874Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:0669dad04494de19aada87878d361c8b1e3569aeb81b451ac1a739f32536d6e2","observation_id":"c984dd19-aa4f-4929-b565-c6fc7d072475","resolution":{"observed_at":"2026-08-07T15:22:11.382430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:22:10.954096Z","title":"CVX: Matlab software for discipli ned con- vex programming, version 2.0 beta,","venue":null,"work_id":"c8ada34d-208f-4250-8855-91507c1c7706","year":2013},"citing_paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T15:22:10.829911Z"},"links":{"citing_paper":"/paper/2505.15493"},"observation_digest":"sha256:cebe6ec4d11799bf929fcd3a896dc9cb7c01db830b88cddb7a5827beb0ed8a1e","observation_id":"fc2e202a-d725-44ea-a8d1-8bac09dac541","resolution":{"observed_at":"2026-08-07T15:22:11.132059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.15493","last_updated":"2025-05-21T13:20:58Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-07T15:14:24.842218Z","submitted_at":"2025-05-21T13:20:58Z","title":"SINR Maximizing Distributionally Robust Adaptive Beamforming"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":38},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.15493."}