{"as_of":"2026-08-09T18:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d6eeb0e91edfa5aadedc5d02adc4fc682bbe533abbbb8f536a095c18cac5e25","coverage":[{"denominator":77,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":77,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:31:20.970806Z","state":"measured"},{"denominator":77,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":77,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.05684/citation-record","integrity":"/paper/2502.05684/integrity","json":"/paper/2502.05684/citation-record.json","paper":"/paper/2502.05684"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:23.326098Z","title":"Abadi, A","venue":null,"work_id":"e8e4058c-1682-4c26-8eee-ac54e30d31dd","year":2016},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.516607Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:e053a1fbef238008d261ce783115b11e0a2ec3d9e7373807ab111347c1534559","observation_id":"9f7f7878-3802-4b79-86b6-c65ce64ff79a","resolution":{"observed_at":"2026-08-08T18:31:23.334181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:20.523000Z","title":"Agueh and G","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.523000Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:899fb8196e8f686b98443ffb7777660c5243fa0fcc5b7767069afe54d29eb230","observation_id":"c269d99e-779c-4428-a3c5-d63040ec96f2","resolution":{"observed_at":"2026-08-08T18:31:20.523000Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:23.287586Z","title":null,"venue":null,"work_id":"f9617adf-46d8-41e6-8903-d59d89fe9358","year":2017},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.528733Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:65392756c245279c74d07de8c9487af7581630ac69c294740269f91556b1181d","observation_id":"6bb544fb-d116-4079-97fd-33402448cbfc","resolution":{"observed_at":"2026-08-08T18:31:23.293648Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.267162Z","title":null,"venue":null,"work_id":"dbae4851-f1ea-4c83-96b9-84e2fc6e2b24","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.534838Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:67cb3607b29149ce1fa2a5f2b60c6ffae5fb7b6f1b9f9f98aae153178dbe3036","observation_id":"1d224775-6e59-4a11-bbfb-eaa9f3e58ca5","resolution":{"observed_at":"2026-08-08T18:31:23.272839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:20.541667Z","title":"Amara, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.541667Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:c31032c82cb65adb5301e59c78d9fcc46fd3b036d2f4685c41e961e8b2c6ba8c","observation_id":"530daa85-ef35-4a12-b52d-e9fda1bd2f20","resolution":{"observed_at":"2026-08-08T18:31:20.541667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:23.245246Z","title":null,"venue":null,"work_id":"61091a94-7b84-4afc-adc7-6246aa21c5d7","year":2001},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.547574Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:de3d63cabf1af6400e4772cdca820ce2ce76a5161cae12acb497ec710b09e99b","observation_id":"7d8d5588-84d9-4ea3-be34-92c8f70edcee","resolution":{"observed_at":"2026-08-08T18:31:23.251393Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.224409Z","title":null,"venue":null,"work_id":"b42af438-d745-487a-a125-218bb8630d41","year":2014},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.553946Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:a7f131bb89dd90af11012eab506f4419d02d2e419c96768689796a9a5e5a892a","observation_id":"1f6ee225-9246-4379-a574-07521cccdf37","resolution":{"observed_at":"2026-08-08T18:31:23.230542Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.205209Z","title":"Belrose, D","venue":null,"work_id":"57f7a053-a6fe-44b5-85cd-6cfcd7ca315c","year":2023},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.558904Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:fbdc5de4ef4f63037b92d357baf7aae591f49d72656cb5f5965aaa349ef43b9c","observation_id":"8df4048e-fcfb-437c-8d8a-eecf7008ad6c","resolution":{"observed_at":"2026-08-08T18:31:23.210687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.186983Z","title":"Berger.Rate-distortion theory","venue":null,"work_id":"536b717e-15c6-4164-9718-1128ecae843e","year":2003},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.563935Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:548545f9afc1b28b848747ba9ab81905c18e3104fac63a0367e07a6cec7926e0","observation_id":"ca266afc-abee-4ab9-97ea-03e862586513","resolution":{"observed_at":"2026-08-08T18:31:23.192174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.169072Z","title":null,"venue":null,"work_id":"aaf001d7-dfbe-4a34-a7ee-952dfd70c58b","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.568952Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:b48694650daaf62dafe002aaa2c15513d1566bc9ad3d6728380c9bee292cf3c8","observation_id":"2dd0a07c-c4d7-4e02-98a5-47633f018ea5","resolution":{"observed_at":"2026-08-08T18:31:23.173760Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.151487Z","title":"Bourtoule, V","venue":null,"work_id":"24671218-496c-42ac-a00d-23a7985f76ba","year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.573867Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:86ec1fbc65341c05212a731fde1752a1b92f9170953a3a1d25beee573193174d","observation_id":"c17b22f0-3966-423a-8e62-3d02ac74a9f6","resolution":{"observed_at":"2026-08-08T18:31:23.157134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.128937Z","title":"Cao and J","venue":null,"work_id":"dc9d21dc-3985-408e-8f54-736f0bce174e","year":2015},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.579428Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:f7183983036eebff551aa814ac6f1fbfb53b8285f9f4c09fe1a8c889bb261c28","observation_id":"ebe976c4-526a-4d02-b0a6-30db2669efab","resolution":{"observed_at":"2026-08-08T18:31:23.135776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.104381Z","title":"Carlini, F","venue":null,"work_id":"f7672cec-c325-47c0-8da9-e9cb1ecd70cd","year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.584534Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:0e231f1fe4795797f0d2de137f136f72c2b4d73996ea57ce807c305b7893db0e","observation_id":"7256a376-a9ac-4338-b349-fae8deaaadbb","resolution":{"observed_at":"2026-08-08T18:31:23.111069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:21.631611Z","title":null,"venue":null,"work_id":"0405c7d0-c39c-466b-a9c5-1ef9b006c3cb","year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.589237Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:95882583a400ea247f111b7868844a43f067299f3dcdfb76d8ebbf77f5792622","observation_id":"5e03b19e-f25d-4295-b20e-a522e235f28d","resolution":{"observed_at":"2026-08-08T18:31:21.637108Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:20.593791Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.593791Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:39bce47909491077c146d6f3b8389f7779493876a14dee08db5707bbf96c9be8","observation_id":"65f8e12a-f53d-4219-9bcf-450cc63268d9","resolution":{"observed_at":"2026-08-08T18:31:20.593791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:23.084486Z","title":"Christian.The Alignment Problem: Machine Learning and Human Values","venue":null,"work_id":"ea2409db-c678-451b-915f-c8a4c3fe39d8","year":2020},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.598677Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:f6a836e3bb86a35199da51e15e5042503ce5fc65478efc6c3393a9e80774d09a","observation_id":"362a6346-65c7-4cb8-8671-c98b197beb23","resolution":{"observed_at":"2026-08-08T18:31:23.091230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.064598Z","title":"Chzhen, C","venue":null,"work_id":"c4befa36-7e54-4ece-9883-618fd9c617f1","year":2020},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.603459Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:11f5ffe85eab37d5fb8dcae696f83dc62a58816f7f139efbaaf2154176eb0439","observation_id":"3fdf3252-10fd-4612-b71a-a78b3647ad61","resolution":{"observed_at":"2026-08-08T18:31:23.071577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.044186Z","title":null,"venue":null,"work_id":"490854df-7589-4eea-b54f-4d85929e0f31","year":2006},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.608438Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:cb0e2c8999fb2e60097ce70ceaf325c9dd8e2f84ae187e0945ec4783731a9460","observation_id":"3a4c92fc-1a99-4797-a73b-ec84daeca2e9","resolution":{"observed_at":"2026-08-08T18:31:23.050431Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.022810Z","title":"Criminisi, J","venue":null,"work_id":"c03bb82c-7a08-4c2f-8f85-36ae6336f239","year":2012},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.614055Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:4079077fd91d9246b0adea46d5aeae94754478eb27db918f5ceab3937dc9c400","observation_id":"24845170-95ac-49b9-927e-81673b879197","resolution":{"observed_at":"2026-08-08T18:31:23.028956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:23.005249Z","title":null,"venue":null,"work_id":"686e7775-a94e-48ac-8fa5-3457786cf7d7","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.619414Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:eb7b4266fcd8eb1a496ee2575c6db5c875492dfd13e7f6ea63abd311f1026e26","observation_id":"3814dc27-f445-4e4a-8d25-e3ffd823c0aa","resolution":{"observed_at":"2026-08-08T18:31:23.010196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.987451Z","title":"Dettmers, A","venue":null,"work_id":"0f28c5b9-66fd-48da-8562-16f5314adaf1","year":2023},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.624726Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:aebeccdbb41cb81396fb0b3538e7edd2bd6515d2c8ed4719a6f5527bc5b0622d","observation_id":"5e759c8e-e7e4-4047-a564-e462ecbb07b6","resolution":{"observed_at":"2026-08-08T18:31:22.993356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.969145Z","title":null,"venue":null,"work_id":"7d587e8e-57dd-4156-b43f-30c1f24dde36","year":2006},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.629785Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:b86c7def4c7d36c3c0bf0b9cdbe2fd2d3681b6a2a4e118fb72b16dc3fc0bf930","observation_id":"a7b943f9-370d-43de-a60c-2a7b8230dbeb","resolution":{"observed_at":"2026-08-08T18:31:22.974787Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.947561Z","title":"Dwork and A","venue":null,"work_id":"4da2f90b-944f-4bab-ac5b-6cb5134c2e2f","year":2014},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.636214Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:3a802d7a6c7ada888571d2bd7ad5f68e8d043cb6a4d82e10e57ac705a765d0cf","observation_id":"201e8d6b-1ebf-4d2e-85cb-c2445d8dd1be","resolution":{"observed_at":"2026-08-08T18:31:22.954839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.925666Z","title":"Dwork, M","venue":null,"work_id":"0678c1c7-ef31-49eb-93f4-a0350a7bc81b","year":2012},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.642049Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:ea9aff7b0c10465d9c325b314b7aa5306c99e6384491d28ab5f09798e6f28781","observation_id":"8cba5f52-260b-4652-b8a7-749fed522f50","resolution":{"observed_at":"2026-08-08T18:31:22.932345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.907028Z","title":"Elazar, S","venue":null,"work_id":"6bcdf46d-23f4-42fa-a58f-3bc6a1e456f7","year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.647389Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:dd8a6d89a3b565778c044a6f79592ad9fa9a59e73df7fb9d643d3bf7f3cf22db","observation_id":"52a472c2-1e6b-409a-a222-33153a65db5f","resolution":{"observed_at":"2026-08-08T18:31:22.913318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.867573Z","title":"Regulation (EU) 2016/679 of the European Parliament and of the Council","venue":null,"work_id":"5525275a-ce00-456e-b9c5-9410494669b3","year":2016},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.653804Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:889eb61cb3f43e77f0a415f735b0d1e4259d681092e4043e52b1fb04195ed9b0","observation_id":"9363c036-8fcb-4ec7-bf02-68a4ba67eb15","resolution":{"observed_at":"2026-08-08T18:31:22.885963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.816781Z","title":"Gandikota, J","venue":null,"work_id":"eb9b4a3f-026c-4fcc-88c5-f2dac80bcb35","year":2023},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.660234Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:e360378c6bfdb51de07e705b89c34b82a8871ef09103a0e567668823f5f82606","observation_id":"5c7c7769-936b-484a-bb00-bf36d4254797","resolution":{"observed_at":"2026-08-08T18:31:22.829233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.742147Z","title":null,"venue":null,"work_id":"382e4f36-38d5-45b9-94eb-a25fb599ae16","year":2019},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.669175Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:913c8a196ad2171d08a95a7a229322169ee0d707602fcf366b2a628f99eb95b4","observation_id":"3f8f416a-bf0b-474d-a842-223d19c98b4e","resolution":{"observed_at":"2026-08-08T18:31:22.777307Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:20.675020Z","title":"Golatkar, A","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.675020Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:c537896e491fccc06c69e9cff54e23675587d51691c9c2a2bea0ccaed7b5c896","observation_id":"4129145d-8f01-4e22-a87c-86fa509367b9","resolution":{"observed_at":"2026-08-08T18:31:20.675020Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11720","last_updated":"2020-06-25T17:02:18Z","snapshot_observed_at":"2026-08-09T12:37:59.364080Z","submitted_at":"2020-05-24T11:20:07Z","title":"Projection to Fairness in Statistical Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11720","snapshot_observed_at":"2026-08-08T18:31:20.680930Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.680930Z"},"links":{"cited_paper":"/paper/2005.11720","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:04d48298f6910f1361bf6def3c08eb23cb6fc96270ef9fec1b2ae21f76809975","observation_id":"76e9f876-1c67-4535-b019-ff3b60d32bf9","resolution":{"observed_at":"2026-08-08T18:31:20.680930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03030","last_updated":"2023-11-08T03:57:25Z","snapshot_observed_at":"2026-08-08T22:15:23.138654Z","submitted_at":"2019-11-08T03:57:41Z","title":"Certified Data Removal from Machine Learning Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.03030","snapshot_observed_at":"2026-08-08T18:31:20.686987Z","title":null,"venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.686987Z"},"links":{"cited_paper":"/paper/1911.03030","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:5a6d7c0064f0a8d3f7d7e3b63b85ebebe65a22dddac2f0e998bed4e62edb3a6f","observation_id":"5c651abb-533b-4f4d-a1fb-caf5cf4b2e56","resolution":{"observed_at":"2026-08-08T18:31:20.686987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14020","last_updated":"2024-05-22T21:54:05Z","snapshot_observed_at":"2026-07-06T18:18:12.096996Z","submitted_at":"2024-05-22T21:54:05Z","title":"Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases","version":1},"cited_work":{"arxiv_id":"2405.14020","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.14020","snapshot_observed_at":"2026-08-08T18:31:21.392223Z","title":"Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases","venue":"cs.LG","work_id":"4dda2410-aac4-44d8-b88f-ffeeb468b75c","year":2024},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.693000Z"},"links":{"cited_paper":"/paper/2405.14020","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:358f03b76fb1ca8c6606ec7814474f100bff34bf1758c01e2340a65290f2a537","observation_id":"6e706572-5dd9-4687-8968-a433f0b86312","resolution":{"observed_at":"2026-08-08T18:31:21.399582Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.675250Z","title":"Hardt, E","venue":null,"work_id":"7049224c-b0ca-4bee-ab33-7a351260d571","year":2016},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.699002Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:28bef5601adcdba2532de4755c02867ab272cc3bbf22f4bdcffd32e6aac42bb3","observation_id":"e16d3d31-1b4f-4179-a9b8-f180d0962a1a","resolution":{"observed_at":"2026-08-08T18:31:22.680908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:20.704404Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.704404Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:f85485fb836e22a3fd3cc12854821b42f040373593a91de54d59e842827b2275","observation_id":"835aae60-4016-4686-a5be-e787310109ab","resolution":{"observed_at":"2026-08-08T18:31:20.704404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:22.641143Z","title":"Higgins, L","venue":null,"work_id":"e796bb80-f1c4-4bfe-a0b0-509468d6529e","year":2017},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.710471Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:0959d463d25388be3a6512a4190bcb29faaa8db0fad4ef4ae9fa1ee73ee04f1b","observation_id":"9d1f7694-c33e-413b-ab5d-741111c84cbd","resolution":{"observed_at":"2026-08-08T18:31:22.647022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.06670","last_updated":"2019-02-22T18:38:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-08-20T19:52:51Z","title":"Learning deep representations by mutual information estimation and maximization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.06670","snapshot_observed_at":"2026-08-08T18:31:20.716489Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.716489Z"},"links":{"cited_paper":"/paper/1808.06670","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:e63948e043ccb2d1c67172b44edc12b20f967f9b0192a1af16bee64e5b964867","observation_id":"22948861-df6c-4885-adb8-357334b98d5d","resolution":{"observed_at":"2026-08-08T18:31:20.716489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:22.622448Z","title":null,"venue":null,"work_id":"7303aa05-9fe7-49b0-9ed2-a2272b436683","year":2024},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.722580Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:7dbd117d0d096c90edae0c14c5349ec6ac3e6ab2a957b602810aa85a34c96563","observation_id":"ef86b37f-b2ff-4cfc-ac9c-3cf96d98516c","resolution":{"observed_at":"2026-08-08T18:31:22.628216Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.602261Z","title":"Houlsby, A","venue":null,"work_id":"086e060c-dce8-4f26-9721-1bd46560fe2c","year":2019},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.728261Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:6fa41fb9a25004e8d16bda5a2e675390a22988b065f68d716d804b18cf2886c9","observation_id":"42cfb38b-8cba-4204-ad67-e3928dd062a2","resolution":{"observed_at":"2026-08-08T18:31:22.607137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.582045Z","title":null,"venue":null,"work_id":"1efb3f6f-9032-43c2-bd4b-56d2b8228796","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.734957Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:18efbebb6dd4bb38f9dfde28115213a6f65213fea84543f9bbf74566bcfb98e3","observation_id":"48234e4b-bd59-43ce-b607-2077c9c20b53","resolution":{"observed_at":"2026-08-08T18:31:22.588615Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.561099Z","title":"Huang, K.-P","venue":null,"work_id":"a756b2d6-c4fa-4c1d-98c9-38638efa2259","year":2024},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.740571Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:d143fc5805ec5940204c211be55e28b70440a118705c1839421eabf3881acbde","observation_id":"779362f7-af86-46ef-86d8-26a59d29d319","resolution":{"observed_at":"2026-08-08T18:31:22.566664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.541030Z","title":null,"venue":null,"work_id":"a484ae7e-2292-4068-8507-a170459086ab","year":2011},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.745801Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:9372382e7d8b4cb29e82f893e816803220879c6550ffb464fc35004ff3bdbf4e","observation_id":"6c010328-283f-4551-abb7-c874308bf003","resolution":{"observed_at":"2026-08-08T18:31:22.547002Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.522228Z","title":"Kirkpatrick, R","venue":null,"work_id":"bc9e38ee-b9d4-4bb8-8250-c0604c6b538e","year":2017},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.751997Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:82ab0ebb919b026d3a34d7fbc53fb9362a9cc56c81684f1d0ad4b510b2381ebc","observation_id":"39bc5b60-cc41-442a-95ec-9eb12f8f25b9","resolution":{"observed_at":"2026-08-08T18:31:22.527137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12220","last_updated":"2023-03-01T13:38:35Z","snapshot_observed_at":"2026-08-05T10:35:13.239357Z","submitted_at":"2022-01-28T16:24:13Z","title":"Neural Optimal Transport","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12220","snapshot_observed_at":"2026-08-08T18:31:20.757244Z","title":"Korotin, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.757244Z"},"links":{"cited_paper":"/paper/2201.12220","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:dc5079e799c5335fbaa790431df0ecb1f2f5d620794a9f2dd0dc8344b9265739","observation_id":"4bedbe35-22f9-4991-923d-071c645ccbf1","resolution":{"observed_at":"2026-08-08T18:31:20.757244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:22.502748Z","title":null,"venue":null,"work_id":"d7cd2327-acfa-4976-b219-a947c82347c2","year":2017},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.762809Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:82f86a4af54aff5706c390fe6913de98a55eacc237d4b9b860548cdea16bd146","observation_id":"af2bed5c-4f22-4b9a-8a2b-f1f5765b3201","resolution":{"observed_at":"2026-08-08T18:31:22.508497Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:20.768901Z","title":"Lester, R","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.768901Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:73000a9808cb16e6be31ee280a2cfba839e20abf44b79eceb78bba00e548c233","observation_id":"3118855b-f4ad-4b43-94da-33e335253a05","resolution":{"observed_at":"2026-08-08T18:31:20.768901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.04322","last_updated":"2019-11-11T15:09:32Z","snapshot_observed_at":"2026-07-06T08:36:08.280525Z","submitted_at":"2019-11-11T15:09:32Z","title":"Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.04322","snapshot_observed_at":"2026-08-08T18:31:20.774165Z","title":null,"venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.774165Z"},"links":{"cited_paper":"/paper/1911.04322","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:e9c11ac2d465a21373836df267d2b4d9a8b363316bbe65f657f9f7dfa4b3d7d8","observation_id":"0231333e-e5a7-4be0-a528-b36b1f0fae29","resolution":{"observed_at":"2026-08-08T18:31:20.774165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:22.485260Z","title":null,"venue":null,"work_id":"46143181-0117-49c8-94d4-95d33ab5dfb5","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.779567Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:bbf0c726f3a2f44c2622db34fcd2bb4e98d23f2de8ce954acd89356810888a54","observation_id":"c63a2cab-65a1-493e-a9c0-563a1c7dbf31","resolution":{"observed_at":"2026-08-08T18:31:22.491165Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:20.785809Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.785809Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:b4446468c3d3c0b195a93795cf15de06a603be9a97fb55979beb297eed0bc29f","observation_id":"ce83c6b6-aa48-40a0-bb96-22db05b9ec5f","resolution":{"observed_at":"2026-08-08T18:31:20.785809Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:22.453214Z","title":"Louizos, K","venue":null,"work_id":"2417a5b0-6ed1-44e1-a196-cf26fa4deb62","year":2016},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.791455Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:bdbbbf33ede968a44e6e92bf71513050272c85f15336108ee62f133cfafc6b48","observation_id":"49783075-e38d-47c2-be12-85d411f73db7","resolution":{"observed_at":"2026-08-08T18:31:22.460088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.433009Z","title":null,"venue":null,"work_id":"b914c61d-db48-40e8-a5e7-0bcaf94caec6","year":1997},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.796676Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:6ae14429d4b70ead696b25805e780e8ce9fb792702a92a9be79b35d7419fc5c1","observation_id":"7c1f4b49-9ef3-4796-b49f-a346dfa6ef22","resolution":{"observed_at":"2026-08-08T18:31:22.440435Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.365822Z","title":"Nabi and I","venue":null,"work_id":"1d0b3874-6598-4a33-a54f-2cc2d5f0b2c1","year":2018},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.802093Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:e3a2d59631bdfbe8bbe2baa7bdaed4a1430a430bfb5ec52a11c1f65144a104f7","observation_id":"28df2c28-fd9d-4350-b65b-3b0dc034599b","resolution":{"observed_at":"2026-08-08T18:31:22.393876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.294209Z","title":"Nader, G","venue":null,"work_id":"b231504c-2d9a-44f1-ba59-2c6fae830a7e","year":2000},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.807506Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:81aa1a1df7d2ff784b19704d089c34a19d8d61007617c90e9a2cafd6039517a1","observation_id":"5131e0a8-8867-4cd1-91b3-3efacaf07b5d","resolution":{"observed_at":"2026-08-08T18:31:22.328160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1701.06548","last_updated":"2017-01-23T18:35:28Z","snapshot_observed_at":"2026-08-05T00:39:48.314299Z","submitted_at":"2017-01-23T18:35:28Z","title":"Regularizing Neural Networks by Penalizing Confident Output Distributions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.06548","snapshot_observed_at":"2026-08-08T18:31:20.813536Z","title":"Pereyra, G","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.813536Z"},"links":{"cited_paper":"/paper/1701.06548","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:09585e2c114e9b9bfabd3db4b6f8650b003425782011b8a293f3121c2364fea4","observation_id":"787e9849-bdb9-4007-8e77-7ac581a4bb83","resolution":{"observed_at":"2026-08-08T18:31:20.813536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:22.234107Z","title":"Pfeiffer, A","venue":null,"work_id":"e9a42feb-9b19-4434-92bf-5c297947bc28","year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.819357Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:77c02db7e38b127b284101a547040e59dca62b33aa71a7e8ee79640c81ce1fc9","observation_id":"83fb2f9a-dc30-4469-8ce0-4e3b6e5456f4","resolution":{"observed_at":"2026-08-08T18:31:22.261840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.187279Z","title":"Ravfogel, Y","venue":null,"work_id":"e48b8917-7727-4f7d-a97b-0077a4bd79a9","year":2020},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.824628Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:6787f51e24043398df930e28eb44047d06a5a946f8106e8a9573cd8546466f2f","observation_id":"df48aadd-32dc-472d-9ec7-884a9c0e55bb","resolution":{"observed_at":"2026-08-08T18:31:22.196693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.169262Z","title":"Ravfogel, Y","venue":null,"work_id":"199afb8d-ee24-41ec-ada8-977319d9a896","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.829913Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:b580e09617e737834b370d89c92c3162319d442572835c02b4c96a82a6f8b995","observation_id":"e4d1d89b-dae5-43c3-ad7b-1ce7f8d94e9b","resolution":{"observed_at":"2026-08-08T18:31:22.175676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.145109Z","title":"Sahakyan and C","venue":null,"work_id":"c05f6646-4df3-4c8a-ac71-fc4c47c3a0b3","year":2002},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.835472Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:a923757e68dd266e61972b0761c24afdc9cb102813f5d6a8ddd8bcc047907c59","observation_id":"ddac1654-dd4f-4571-a837-60efc470ecb1","resolution":{"observed_at":"2026-08-08T18:31:22.152708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.123113Z","title":"Schiller, M.-H","venue":null,"work_id":"80afa542-52a0-4fbe-970c-a371b9d40fe9","year":2010},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.840951Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:de3417de8678eecb348b7b9f328cf593c95d818d72c63408d06295d5ca98d738","observation_id":"b15ed647-4cbf-45e7-b79d-d0920d21f6fd","resolution":{"observed_at":"2026-08-08T18:31:22.129048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:20.846772Z","title":"Sekhari, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.846772Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:6cb4dc0e5495cc6c28ab9a6965f91148fcdc36d6caaadb919f2454698e617eb5","observation_id":"f330ee98-f26a-4254-9778-7d7833f72de6","resolution":{"observed_at":"2026-08-08T18:31:20.846772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:22.088243Z","title":null,"venue":null,"work_id":"d4cd51d8-aa87-45d1-b837-50766b7a5276","year":1959},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.852455Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:3e4ed43b67d6b7c4a5864ad1c8e70107a83f7bebafd64a580cb84920f16317ce","observation_id":"d694de2c-1881-4fec-8898-833314382d70","resolution":{"observed_at":"2026-08-08T18:31:22.094047Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.070520Z","title":"Shokri, M","venue":null,"work_id":"014b722f-2686-4133-9e6b-9b8e8c7b26dc","year":2017},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.859263Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:da5f9c6fff10002e8d9685e502e875e92b498d1c61c3e1f4c9cb4dc8a97adc58","observation_id":"8b42cea7-9970-4b68-891c-fabc52fede6d","resolution":{"observed_at":"2026-08-08T18:31:22.076041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.053187Z","title":null,"venue":null,"work_id":"c0d7f4aa-033d-4072-9d26-55b6328e153b","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.865617Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:01c9cf03a8289dff25d509ac08ae381ea781b34086ee8cc9ce83d77e4a64a358","observation_id":"323b2f6b-40f5-4df3-a70f-b553924881d5","resolution":{"observed_at":"2026-08-08T18:31:22.058695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.033413Z","title":"Thudi, H","venue":null,"work_id":"40a3675b-3258-4826-9258-bc41446db008","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.872215Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:b6ab5f6c97336740fd48603de937f7384519f438299dda0c26d11aa573aca493","observation_id":"1b6b1125-f850-4238-82c6-f8a47f6720a5","resolution":{"observed_at":"2026-08-08T18:31:22.039446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:22.012904Z","title":"Villani.Optimal Transport: Old and New, volume 338 ofGrundlehren der mathema- tischen Wissenschaften","venue":null,"work_id":"7df33448-c3f6-47c1-8135-4310892d69b7","year":2009},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.877947Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:f9b60c8de484ada36cef80c3b8eeece9a927092e561e81dc8f74928659958a8c","observation_id":"44f68498-2d35-4a37-b99a-edbd1ec27c2a","resolution":{"observed_at":"2026-08-08T18:31:22.020155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:21.995628Z","title":"Villani.Topics in optimal transportation, volume 58","venue":null,"work_id":"34828533-b359-4878-ac81-f23cc3362ffd","year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.883409Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:b27e7368f60ad98c53860ccd29177c3d332e98045b61657553bdfb0c4b33fb23","observation_id":"3060530d-d72a-4bcb-89b6-038b330eceee","resolution":{"observed_at":"2026-08-08T18:31:22.001175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:21.979938Z","title":null,"venue":null,"work_id":"b3f16702-098c-4136-86d6-36d6c7a20450","year":2023},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.889457Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:942adc5b270f3def868ce02222b305535310ed279940c106a9d7fbc8b32f90e4","observation_id":"6a7dc166-0521-4790-beee-3ec3f4a710d8","resolution":{"observed_at":"2026-08-08T18:31:21.984754Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.11577","last_updated":"2023-08-07T12:33:20Z","snapshot_observed_at":"2026-08-08T06:36:46.209652Z","submitted_at":"2021-08-26T04:42:24Z","title":"Machine Unlearning of Features and Labels","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.11577","snapshot_observed_at":"2026-08-08T18:31:20.896558Z","title":"Warnecke, L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.896558Z"},"links":{"cited_paper":"/paper/2108.11577","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:5ff7d4d6feff8a0b30f022c988b197e5c38cc6da52207020855dabac230c8b7f","observation_id":"ae28cc41-b9c5-4bb0-b4f3-8cff0e8059f7","resolution":{"observed_at":"2026-08-08T18:31:20.896558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:21.961929Z","title":null,"venue":null,"work_id":"e6dc3439-2d08-4755-ab95-0c42317cd314","year":2024},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.903177Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:c3f35996f81bda2aea4924aabf4d009e9078d18b5cec2bf32ef968b420a6fcf6","observation_id":"45147c91-89a9-45c5-b25d-5d7ab5e94976","resolution":{"observed_at":"2026-08-08T18:31:21.967952Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:21.941164Z","title":null,"venue":null,"work_id":"6e59dcb1-e449-4fd8-832e-cc9a8a85bb2a","year":2022},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.914744Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:2f7c26842ab775b839b9952da265c5f6b505b0a6e4112f528541a12387e1a2fb","observation_id":"95379fce-f5be-4572-8793-fd9653236028","resolution":{"observed_at":"2026-08-08T18:31:21.947283Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:21.920982Z","title":null,"venue":null,"work_id":"2664f3e8-ec47-4425-8542-a927372066cb","year":2024},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.928924Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:78bcde9b95eb696ba93fcceb6cfb3ea3b9419414b5cea44bbadf842e5f4c2abd","observation_id":"9bf12dfe-7678-483f-806d-f34f95abb459","resolution":{"observed_at":"2026-08-08T18:31:21.926978Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:21.899146Z","title":"Xu and T","venue":null,"work_id":"fbe07377-f344-4f2f-85b3-52fdd2123980","year":2023},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.936594Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:0352647445f5a7ed729458166742d5ab225e35f0ba357e7602c9ae01b0ef9721","observation_id":"c23b3dca-8a36-401d-80f6-e6c24a684b00","resolution":{"observed_at":"2026-08-08T18:31:21.904682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.11914","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:21.251022Z","title":null,"venue":null,"work_id":"81a2dff2-50f6-4dda-b93e-f2d73fc678a4","year":2025},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.942684Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:c7a0c418cbd61a1d242de1679e49ce8a462bdf125740ec075b3f98522c5b977b","observation_id":"79bd6cfd-1cfe-485f-9ec3-2890b5856f61","resolution":{"observed_at":"2026-08-08T18:31:21.262083Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.15115","last_updated":"2026-04-07T04:34:06Z","snapshot_observed_at":"2026-07-06T21:43:59.163336Z","submitted_at":"2025-06-18T03:33:59Z","title":"Towards Reliable Forgetting: A Survey on Machine Unlearning Verification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.15115","snapshot_observed_at":"2026-08-08T18:31:20.947894Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.947894Z"},"links":{"cited_paper":"/paper/2506.15115","citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:55b7d8923359dabee986491200befad6d5f35dac4f09bb595ca62d470fe59bf8","observation_id":"a5f562e5-6afe-47df-bf4d-70c951b6c8d9","resolution":{"observed_at":"2026-08-08T18:31:20.947894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:31:21.877962Z","title":"Xue, Y.-X","venue":null,"work_id":"09d88697-3184-4afd-8b38-1aff3a13955f","year":2012},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.953875Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:3a1a3a382d96a61471be7613588237f0381c56f4eb2ad40e6a8ca50b852c17ee","observation_id":"dd643442-fc0f-42e9-b24b-fcadccc730ad","resolution":{"observed_at":"2026-08-08T18:31:21.885454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:21.859434Z","title":null,"venue":null,"work_id":"c5274fba-2104-4177-900c-ca50742943a0","year":2018},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.959434Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:e5720ce1bb863a8292b32ea48e3809b5b154f11c6552501549f68a28fb857e6a","observation_id":"33bb5e3e-aef7-47ac-8b0e-fff96a444468","resolution":{"observed_at":"2026-08-08T18:31:21.865327Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:21.839566Z","title":"Zhang, Z","venue":null,"work_id":"eb5345a1-d384-4478-83a7-7bae3068485a","year":2024},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.964882Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:b8002b5edde5c64887df4b0fba12d059b73353d10513fadcc19bb9ab467d8625","observation_id":"92c19547-f943-4cf8-9275-65dcd5a8ac9f","resolution":{"observed_at":"2026-08-08T18:31:21.845271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T18:31:21.820355Z","title":"root” from (X, Z) without introducing additional randomness by the compression mapfitself. Technically speaking, the “root","venue":null,"work_id":"501c16b7-e380-4df7-b5ff-cb07572fe22d","year":2018},"citing_paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization","version":5},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-08T18:31:20.970806Z"},"links":{"citing_paper":"/paper/2502.05684"},"observation_digest":"sha256:699ed65cae0fd66febe422935edfb7fbd19ce0fab79b817afede43e1f985a813","observation_id":"3b7664cb-f8a2-46bc-bda9-172d6f640bdb","resolution":{"observed_at":"2026-08-08T18:31:21.826559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.05684","last_updated":"2026-07-06T08:57:13Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T11:14:25.216688Z","submitted_at":"2025-02-08T20:33:06Z","title":"Machine Unlearning via Information Theoretic Regularization"},"reference_resolution":{"displayed":77,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":38,"verified_exact":3,"verified_fuzzy":36},"total_outbound_references":77},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2502.05684."}