{"as_of":"2026-08-07T08:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:744da17f0818b56ae4384cd5433159417ccfa7a824f61f26f8926c1d8e5699d7","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-23T01:50:27.202825Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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":"2026-06-27T19:34:40.702257Z","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":"2026-07-02T21:47:27.633522Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"cited_work":{"arxiv_id":"2502.21194","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.21194","snapshot_observed_at":"2026-07-02T21:47:27.633522Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","venue":"stat.ML","work_id":"4e2f4627-805c-4c57-8446-a65069c16438","year":2025},"citing_paper":{"arxiv_id":"2606.07914","last_updated":"2026-06-06T00:29:35Z","snapshot_observed_at":"2026-08-04T13:05:45.464638Z","submitted_at":"2026-06-06T00:29:35Z","title":"Identifiability and Estimation for Unlabeled Finite Mixtures under Marginal Independence","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T19:34:40.702257Z"},"links":{"cited_paper":"/paper/2502.21194","citing_paper":"/paper/2606.07914"},"observation_digest":"sha256:49ce6b154551a37573670fe6eb31a37bf805cf0bc7511bbe441f9ef90869f2d3","observation_id":"6ac1883f-de4b-439d-8e08-b8597b4bc9ec","resolution":{"observed_at":"2026-07-02T21:47:27.634759Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.21194/citation-record","integrity":"/paper/2502.21194/integrity","json":"/paper/2502.21194/citation-record.json","paper":"/paper/2502.21194"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 32th AAAI Conference on Artificial Intelligence","venue":null,"work_id":"86bf60da-5148-4210-a130-384c9300df0f","year":2018},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:cfdd51da7cc1d347ffbc23711fc4017a54aaae3b62ffad93a776185e7dc11a4c","observation_id":"60c204c4-6f78-4117-b3c6-9e287990eafc","resolution":{"observed_at":"2026-05-23T01:52:23.142824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Machine Learning 109, 719–760 (2020)","venue":null,"work_id":"52d05033-a129-405b-ba24-a058cf9eb1a3","year":2020},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:b64c812ca709ce64f0c9768a31d5fa865bd1d00ab64359f0d2bdb641893d9e62","observation_id":"7f947d91-eefd-458b-916a-6b185a721b91","resolution":{"observed_at":"2026-05-23T01:52:23.148589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Journal of Machine Learn- ing Research11, 2973–3009 (2010)","venue":null,"work_id":"270be257-8812-4e40-98ac-5552addcd89e","year":2010},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:ab003fa594aa1a33063283af5f23428324ed933fcedde63524b791281a67f738","observation_id":"f12a649b-3245-4bfc-ae00-203e5f2be637","resolution":{"observed_at":"2026-05-23T01:52:23.166409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 37th International Conference on Machine Learning","venue":null,"work_id":"7b55d500-7cfb-47e4-8a37-0f264979d640","year":2020},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:cb800b75a255c7e80d044f2ae2591657d0bee746574c120db00826c0dcedefe2","observation_id":"f47e51ad-7337-4a37-95f4-bc994f2b62ba","resolution":{"observed_at":"2026-05-23T01:52:23.164140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the European Conferencce on Machine Learning (2023)","venue":null,"work_id":"bc1a2879-15b8-4944-bf9b-7d0bb9cf2832","year":2023},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:70f3bfee90982865d79cde3787d631473ad4de3f09008bddaebff4ac0cc581a2","observation_id":"c6a002b0-45ed-412b-bb8c-2c5b13023f13","resolution":{"observed_at":"2026-05-23T01:52:23.170729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","venue":null,"work_id":"05291798-091a-43a9-997f-d34c788ac188","year":2008},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:f8fb632d3b7f32f4ec92b55dee7c801114c7b6340722a9d938e71d522111b89f","observation_id":"e2ec7898-3e00-4e12-8c6b-f2d0c7bcdf55","resolution":{"observed_at":"2026-05-23T01:52:23.159570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Data Mining and Knowledge Dis- covery17, 164–206 (2008)","venue":null,"work_id":"bc7c8e96-51b9-42a7-95d5-33ba9cea0432","year":2008},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:da28afe581201c7bf3693c9d3568ba48bf6728aa4646c73e30b4ee2f7a6a4791","observation_id":"a8008ef7-cf6b-442b-889e-99e4e68e51aa","resolution":{"observed_at":"2026-05-23T01:52:23.137756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Advances in Neural Information Processing Systems","venue":null,"work_id":"2a13ab0f-cc58-4818-9d1a-25f9ee7ee499","year":2007},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:44aa02352d365ca9d8abf753bcdb0d35ddaba6d8e4c6b7ca8c8184fe3dc65104","observation_id":"2013a4a8-80e7-4392-a4f2-7a256fed8dc6","resolution":{"observed_at":"2026-05-23T01:52:23.153720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"IEEE Transactions on Knowledge and Data Engineering18(1), 6–20 (2006)","venue":null,"work_id":"b9a6a5ca-144f-45bf-8160-62512d4dd5e8","year":2006},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:03486642f59c5c56c795ca3db0f00e5dd89afaece83cbdb1debea4a195fbf873","observation_id":"a7ecbfea-4ada-48cc-a4a6-d6a9b9b0c609","resolution":{"observed_at":"2026-05-23T01:52:23.135090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 34th International Conference on Neural Information Processing Systems","venue":null,"work_id":"9f116d54-092d-443d-b492-f118565186b1","year":2020},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:4ce1c1404ed39fe57ab4a104d3711902d038f718f08bd5d99b141dc7989c5188","observation_id":"30f7c405-c6b4-4d90-b2fc-87171c62e95d","resolution":{"observed_at":"2026-05-23T01:52:23.140587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"IEEE Trans Pattern Anal Mach Intell pp","venue":null,"work_id":"bafd4fc6-2c96-4d10-ad6e-6bc8c8acb0be","year":2021},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:95143c5cd627a71d77d8494c120de5903e6c672df40035d24ef98ef461813f5c","observation_id":"e4057680-43e8-4514-a30d-b9325804280f","resolution":{"observed_at":"2026-05-23T01:52:23.151236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"ACM Comput","venue":null,"work_id":"6bd41ba7-59ca-4000-8758-e74af448acc1","year":2017},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:5f3519fab48b2411e10bb21f89716ae15058ae0347dda3cefca4bf9ff8fee8a7","observation_id":"b0bae19e-3823-4ac0-835a-a157afd966c4","resolution":{"observed_at":"2026-05-23T01:52:23.168457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Journal of Machine Learning Research13, 723–773 (2012)","venue":null,"work_id":"81906b61-ad1c-4b2f-8504-7931c3a67047","year":2012},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:2b3f15f69512ef43e3f9f98bf75435cfe680e553dac99912b332f29df6e4e96d","observation_id":"725b45ce-3a4e-4421-9fd3-fd865dcea9ac","resolution":{"observed_at":"2026-05-23T01:52:23.162075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 31th International Conferencce on Machine Learning","venue":null,"work_id":"045db999-20bb-4d2d-9f27-4ace2cc81085","year":2014},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:82f56b44959ea8bb71e2ef2d05134b7998559e61e3de73fd406513fc2efb3181","observation_id":"37c3d64c-2885-4b1c-91e0-c6044aa3a0ae","resolution":{"observed_at":"2026-05-23T01:52:23.157041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 30th International Conference on Neural Information Processing Systems","venue":null,"work_id":"cf04343d-4571-46bd-9a5b-22b56044142f","year":2016},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:ddae54d6694a1fec4182b4a3f43c165225b34b19a2607115e1370f5a5f83a68e","observation_id":"519f578b-2a69-44a9-9455-c8ed811cddc1","resolution":{"observed_at":"2026-05-23T01:52:23.145873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the International Conference on Neural Information Processing Systems","venue":null,"work_id":"a1418772-35e8-4938-af87-0c14c9a36693","year":2017},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:e6a811012760267b34a1adeea08180775859fa58600bea3f9e3bd4d252973b02","observation_id":"345502f3-a1c2-421d-a07f-6fbe336aabeb","resolution":{"observed_at":"2026-05-23T01:52:23.132197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Briefings in Bioinformatics23(1) (2021)","venue":null,"work_id":"a11af250-d968-49c6-8420-30e25b7870e0","year":2021},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:14078a8daf9ab1a19632afe0f7c9807762d1637b17e264e29dfb76854d043fcc","observation_id":"eae08f3e-e419-44b2-9519-ac871a3d1720","resolution":{"observed_at":"2026-05-23T01:52:23.082305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 18th International Joint Conference on Artificial Intelligence","venue":null,"work_id":"d0602007-db8d-4199-9021-2dadaf9c773b","year":2003},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:0c038cc21420ca3ac5675348502517bccbba93dae19549ffaf56da62c4610032","observation_id":"a8b91d2c-0f82-4319-9eb5-3c1fa35e6834","resolution":{"observed_at":"2026-05-23T01:52:23.087627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 35th International Conference on Machine Learning","venue":null,"work_id":"63578a47-6866-4085-a37d-d44913289b7c","year":2018},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:b6fac642d3c898bf3a6eda1bf9b22e70bb1f7242bd49081d6c28c46caa85371d","observation_id":"35a1beab-0493-4713-8364-cb178ec35291","resolution":{"observed_at":"2026-05-23T01:52:23.119654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence","venue":null,"work_id":"ea982275-a97e-40f2-b506-2cb8b60ee71f","year":2021},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:47fbbaf39f872fb0c0f713154e5fd71c0d4c00f8eed5631070976cd62486d2b3","observation_id":"e1c9550c-62bf-4296-af97-f13aeee3384d","resolution":{"observed_at":"2026-05-23T01:52:23.097665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Survey in Combinatorics pp","venue":null,"work_id":"507f7250-8faa-4610-be61-dbe70cc03cb5","year":1989},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:a3545039098317fbde8cb7f419ba64f7432d611a30aa4897c2c64a15e58af0e3","observation_id":"cf22130a-a2d6-41ae-b680-16984be4eb79","resolution":{"observed_at":"2026-05-23T01:52:23.111700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Fundamenta Informaticae191, 1–17 (2024)","venue":null,"work_id":"e7d632c3-695d-4c8b-ab30-2df844407522","year":2024},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:1e881aec0e1b20d8abb826767555a1a4b7e319c35e3c4af031e42e4f2cd11984","observation_id":"df940360-bc7b-4e8e-8893-b4bb3e3bb50f","resolution":{"observed_at":"2026-05-23T01:52:23.095044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Machine Learning112, 889–919 (2023)","venue":null,"work_id":"0949dd01-628f-4329-95ef-ee7f26a66cdf","year":2023},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:fdb040b53c6f32b65e4d4e821d92d88fe64b64b9c6f16961eddc659f852b0283","observation_id":"4fd03293-9ce0-457f-a8f7-d4bce1d2bf6b","resolution":{"observed_at":"2026-05-23T01:52:23.085122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Advances in Neural Information Processing Systems","venue":null,"work_id":"ccc3dc79-2fa3-4a41-aab2-25af5b3d7ba4","year":2019},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:e5131bab39e9f0a42a3bcdb701362a17cd66f6082d7e354f9127dea7c9b608bc","observation_id":"1a74774b-a6c9-4660-8341-f0eed62179cb","resolution":{"observed_at":"2026-05-23T01:52:23.129587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the International Conference on Neural Information Processing Systems","venue":null,"work_id":"00151ebf-e2b7-4855-8608-2d7b87addaed","year":2014},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:a17b167f1e2c21bac2509f45c66da5a926cfa551d1409035669a0eb36f158997","observation_id":"47ac3d0a-3555-4566-8585-c7cfc715c451","resolution":{"observed_at":"2026-05-23T01:52:23.116800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of The 33rd International Conference on Machine Learning","venue":null,"work_id":"2904bb66-eedb-4bc0-b834-cb9edeb430c6","year":2052},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:117c54edb2f8814dd4ea032f949ec3f0dc4a8746d2101040c6a39c79527f45cd","observation_id":"07beb5d9-78fe-4238-ad5b-20931b4a82ae","resolution":{"observed_at":"2026-05-23T01:52:23.105789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Journal of Medical Systems46(5), 1–12 (2022)","venue":null,"work_id":"4264f338-d14e-4b27-a99b-e55ecc38dc05","year":2022},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:c149b3c1111ccfb123916e0a8587f06937de33acace80f10394966c5a236b9db","observation_id":"c20caa51-0b49-4e37-b9e0-ba3dc25a0e09","resolution":{"observed_at":"2026-05-23T01:52:23.124860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Neural Comput.14(1), 21–41 (2002)","venue":null,"work_id":"80544dc5-7d18-44f9-9a78-74121927330f","year":2002},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:7648b208bad8d8970d2e783565f6476e00d3e3c6f464c17b89b04cf5af48e109","observation_id":"541d8a4e-09fc-409a-a19e-40eaa11a6b85","resolution":{"observed_at":"2026-05-23T01:52:23.122448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"International Journal of Approximate Reasoning 85, 159 – 177 (2017) 24","venue":null,"work_id":"83d6b6c4-604b-44a0-a85d-9ca965d69999","year":2017},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:40af4548e5fdbb63f9c875437c8007b7cfbe142ae2a2226c6b6b667a360f04a7","observation_id":"fc3d843f-ce91-4af2-8e3f-6db0bb70ff0d","resolution":{"observed_at":"2026-05-23T01:52:23.109391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Journal of Machine Learning Research18(86), 1–47 (2017)","venue":null,"work_id":"0e457532-34ce-4fa6-936f-3d6bdd5e8079","year":2017},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:a570f9339f5ea3d703d718cb459bc7c3aaaed2ee992672bb23ec2030c90c173a","observation_id":"b1c65784-f416-4fbb-86c9-12f66d1d90e6","resolution":{"observed_at":"2026-05-23T01:52:23.127346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"Journal of Machine Learning Research20, 1–33 (2019)","venue":null,"work_id":"bb934829-edaa-448d-ab03-5169fbd22f37","year":2019},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:1f089cc405422ba902610b367fd6912d5363409f794ed82e0378a3723b03ebbd","observation_id":"9bc83b9e-c5bc-4d8b-93d1-ae4cc3901949","resolution":{"observed_at":"2026-05-23T01:52:23.114143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the 30th International Conferencce on Machine Learning (2014)","venue":null,"work_id":"b3c024dc-6a4f-44f2-9baa-5b22deebcc07","year":2014},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:aa4e3b1a53d586523664e5e0a9d721fa53d7ede50edcd1b525c2fe335dcfa6b8","observation_id":"96a4b23e-2eb7-44ad-901e-25378d950588","resolution":{"observed_at":"2026-05-23T01:52:23.103174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: NIPS’18","venue":null,"work_id":"2774b436-dd2e-48ea-94bc-5c56a21f128a","year":2018},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:5c7570882dc1914ef6bf09a958f319ffc5293a47bbd70a62884488bfc3dd8bb2","observation_id":"a13e716f-9836-4723-910d-93bef52bcbbe","resolution":{"observed_at":"2026-05-23T01:52:23.100575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"97164f96-90ac-4fef-a018-a1a89a4ce94f","year":2022},"citing_paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-23T01:50:27.202825Z"},"links":{"citing_paper":"/paper/2502.21194"},"observation_digest":"sha256:1c1ab954def460676ea92d977434aa67a37212d0779ab2565e55d047a61c6c8e","observation_id":"d80f7d2d-1bc9-454a-a9c7-6b53e9d9ddd5","resolution":{"observed_at":"2026-05-23T01:52:23.091648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.21194","last_updated":"2026-05-21T06:57:56Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-03T02:32:13.114516Z","submitted_at":"2025-02-28T16:12:53Z","title":"Prior shift estimation for positive unlabeled data through the lens of kernel embedding"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":34},"total_outbound_references":34},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2502.21194."}