{"as_of":"2026-08-11T11:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27ac06af0d4dd1ac1f451200cb872e457ae644d5b542adb58d9ec68a7622bb7c","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-21T22:40:22.028526Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-20T10:25:57.025905Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-05-20T10:28:12.074079Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"cited_work":{"arxiv_id":"2509.16391","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.16391","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","venue":"cs.LG","work_id":"912fe429-2a2c-44cf-8b09-6f9d2ce720ef","year":2025},"citing_paper":{"arxiv_id":"2605.19042","last_updated":"2026-05-18T19:05:40Z","snapshot_observed_at":"2026-07-06T23:29:47.081347Z","submitted_at":"2026-05-18T19:05:40Z","title":"Interference-Aware Multi-Task Unlearning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-20T10:25:57.025905Z"},"links":{"cited_paper":"/paper/2509.16391","citing_paper":"/paper/2605.19042"},"observation_digest":"sha256:48e324aa5f096c1adc1aee0213e52868b73cb146b192bc5180f86f13761d32c3","observation_id":"6ecb1f31-5efb-4dcc-a3f1-0f7a0f01d490","resolution":{"observed_at":"2026-05-20T10:28:12.075961Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.16391/citation-record","integrity":"/paper/2509.16391/integrity","json":"/paper/2509.16391/citation-record.json","paper":"/paper/2509.16391"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The EU proposal for a general data protection regulation and the roots of the ‘right to be forgotten’.Computer Law & Security Review, 29(3):229–235","venue":null,"work_id":"003601fe-d74d-49d5-ac27-418fd03e97e7","year":2013},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:d0250ae5b528f1e10f88731754c6409a7f2ca70f2c2ef09cac0c0721cfd6b4f2","observation_id":"8e57e86e-89d8-4de5-a25e-74bc8f500e05","resolution":{"observed_at":"2026-05-21T22:40:43.545012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"AI model disgorgement: Methods and choices.Proceedings of the National Academy of Sciences, 121(18):e2307304121","venue":null,"work_id":"c3e20151-936b-4570-93e2-14ef5fcd22cf","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:35d1d456d6a28edf6d9b534e838a179e8b2fcd1b6a08e021619859fb74bc8c62","observation_id":"dc7d7b8d-5eee-421a-a623-2f835311e80e","resolution":{"observed_at":"2026-05-21T22:40:43.547839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Machine unlearning: Taxonomy, metrics, applications, challenges, and prospects.IEEE Transactions on Neural Networks and Learning Systems","venue":null,"work_id":"0e4e4516-7aba-4926-9277-6451d298b290","year":2025},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:5841c1c78cd5ed7e51723bee13d8dc1b18f1621befba40db16b8726b379230ef","observation_id":"123e9d34-d3d9-465e-b307-1cea4b087de6","resolution":{"observed_at":"2026-05-21T22:40:43.553379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exploring the landscape of machine unlearning: A comprehensive survey and taxonomy.IEEE Transactions on Neural Networks and Learning Systems","venue":null,"work_id":"dfb4399c-802b-4c04-b340-85dfef62f612","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:0676db81ade4ce09b729515564cfc011ba6df07d2f738f0f008f9f005c633aba","observation_id":"5843dfd7-0dd5-431a-b394-3f6a7b726cdd","resolution":{"observed_at":"2026-05-21T22:40:43.550285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Machine unlearning: Solutions and challenges","venue":null,"work_id":"0940822a-6a4c-492a-9215-25b9a82f122b","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:126d2f0d6a1b09ff80f2ea09767276ba915deffea429c886828ad6b811cb1c81","observation_id":"27868ee3-7397-4665-b322-af9a313bd87c","resolution":{"observed_at":"2026-05-21T22:40:43.555998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hidden poison: Machine unlearning enables camouflaged poisoning attacks","venue":null,"work_id":"f8054834-dea0-42ec-9259-8e42b41ce4c3","year":2022},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:c78b06aa52c8ae366676f55bb81b27d3529aa48cac70594f088194718fdc88fb","observation_id":"1c33c3b5-e505-410d-b1b7-aff38f4822a3","resolution":{"observed_at":"2026-05-21T22:40:43.542161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Arcane: An efficient architecture for exact machine unlearning","venue":null,"work_id":"b81d2c62-4aeb-4645-a53a-ca48249e021d","year":2022},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:212b6cf00aea68a5d2108d99c20fbab5bdb4d6a150ccaf4fdf4c1412e54f58a1","observation_id":"b3bb059b-e7a8-4e77-8378-414a31c6e5bc","resolution":{"observed_at":"2026-05-21T22:40:43.566277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Not: Federated unlearning via weight negation","venue":null,"work_id":"a01cd736-36a2-4d1d-9b66-1dd10c42c8c4","year":2025},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:93e1896f7dc70f070d24787946ac45940160d8a52bf2901a78726830f27a8571","observation_id":"15b1ab2b-176e-4094-a55b-86f92509e20d","resolution":{"observed_at":"2026-05-21T22:40:43.561172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"SalUn: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation","venue":null,"work_id":"ae7b7858-3a6c-4f80-ad35-8a8a64a4662b","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:9419c5a6cb93e158e4cf1a6ea07cd01d5e58e1c8e589f947e5021c034f14af25","observation_id":"a196a05c-212f-4e74-aa63-385d5a305f40","resolution":{"observed_at":"2026-05-21T22:40:43.558534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Model sparsity can simplify machine unlearning","venue":null,"work_id":"81aa31ff-ef2f-4e4d-8432-abacb563b828","year":2023},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:b397fb68f8fb1a2d05ff317cd900e0eb3817bd0e193ee9c6b6244ba02966b284","observation_id":"4973e579-978e-4f60-a194-a87ea916606a","resolution":{"observed_at":"2026-05-21T22:40:43.581095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"What makes unlearning hard and what to do about it.Advances in Neural Information Processing Systems, 37:12293–12333","venue":null,"work_id":"58b221ec-7959-4689-9f6a-6418d57008cd","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:3fc816419c9fd06a8db2f3420e597c7f910620ce66de2a7b585b8286437e6615","observation_id":"15938db9-624b-4100-835f-720b3940e708","resolution":{"observed_at":"2026-05-21T22:40:43.578513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary","venue":null,"work_id":"d783e435-62c7-4f13-a849-d46c0752e0e7","year":2023},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:a10edce70b0ed75a337ed978a2d75f499552160fc29cb63e93d36921d8948b2a","observation_id":"4c3f6190-e83a-48cc-ab68-2be3b15d7a30","resolution":{"observed_at":"2026-05-21T22:40:43.632958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Privacy risks of securing machine learning models against adversarial examples","venue":null,"work_id":"c67cc8c7-0d61-4e12-8d9e-2c9fffaff5d8","year":2019},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:07734fb1dbd97899f4ee46f5b9fa6881fb307f67b0fa166ab18c152b6d904dbb","observation_id":"9a9aaf84-bf82-4178-bc2f-1b68da40c2ce","resolution":{"observed_at":"2026-05-21T22:40:43.641066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards un- bounded machine unlearning.Advances in neural information processing systems, 36:1957– 1987","venue":null,"work_id":"b11c69ed-ad94-4992-9c7e-4ed3016fbdcf","year":1957},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:f5879fe564a5385c58f40cbb732e72b94f274daf6cc749fcedd0514f4802e89c","observation_id":"ff5f2a59-06c8-4a1f-b3c7-5c9451acebdd","resolution":{"observed_at":"2026-05-21T22:40:43.638507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Amnesiac machine learning","venue":null,"work_id":"7b6b892a-b9ae-4bc4-bb93-cec248138954","year":2021},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:5d8547aff9bccde5393d56000644baaf907987d6a34eba8153eb6e4973937004","observation_id":"c620bb64-f778-446a-9a28-e64f4b2f3081","resolution":{"observed_at":"2026-05-21T22:40:43.570948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Can bad teach- ing induce forgetting? unlearning in deep networks using an incompetent teacher.Proceedings of the AAAI Conference on Artificial Intelligence, 37(6):7210–7217, Jun","venue":null,"work_id":"098ac26e-22f1-4bba-aadd-2ce5fc1dce56","year":2023},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:cca37f3e39cc09fae1e91bc5fd8d6e279d0951f387284979d7dfc94345ac9846","observation_id":"c0b848e1-2530-4d9a-b6b9-650510ecebc2","resolution":{"observed_at":"2026-05-21T22:40:43.630727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on federated unlearning: Challenges, methods, and future directions.ACM Computing Surveys, 57(1):1–38","venue":null,"work_id":"0b10e193-93fd-4fbb-8977-3dd5d00588e1","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:637433f186a15c66579b2276b891c6a8588f55ff429eb113b0c21d63796b5d14","observation_id":"0b19b3c3-1ee2-45a1-aea8-08882f06348d","resolution":{"observed_at":"2026-05-21T22:40:43.635605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on self-supervised learning: Algorithms, applications, and future trends.IEEE Transactions on Pattern Analysis and Machine Intelligence","venue":null,"work_id":"c23409f7-9267-40b3-ac0e-67164fda7984","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:4b17021818a216aa3d64ca9acd01f63016dcf8786c74077a59f4ff775fd3bdf7","observation_id":"727df2d1-830f-454d-95bf-34efb9dd2beb","resolution":{"observed_at":"2026-05-21T22:40:43.586610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on contrastive self-supervised learning.Technologies, 9(1):2","venue":null,"work_id":"86e7227f-71b6-4c10-9f9b-9b3b5e7e7bf0","year":2020},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:ea6f459d8231cc634082a9426ef66343717cf4383542a526568e9a7aa05b4e99","observation_id":"4285ae13-19da-45dd-8972-e148d48674ef","resolution":{"observed_at":"2026-05-21T22:40:43.600331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"ef134b8d-2595-4e1f-af9a-a2d2b84801d7","year":2020},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:4810e6c9048b5c63225f1f2198466343cb26bdcc0a1dacbc80619ef8049ba873","observation_id":"32fb03c8-3bcb-4fb2-abe6-18263b5deb24","resolution":{"observed_at":"2026-05-21T22:40:43.627204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Similarity contrastive estimation for self-supervised soft contrastive learning","venue":null,"work_id":"83995176-5807-4284-9403-3a7377afb8a8","year":2023},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:95de4fea3ee4d571b3fefe72b6409f97fa2d87248ec69c32dbedd2fe2dc1d9c2","observation_id":"a2891a77-e057-4a53-b34a-b4e2abe1489e","resolution":{"observed_at":"2026-05-21T22:40:43.591875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CO2: Consistent contrast for unsupervised visual representation learning","venue":null,"work_id":"997bba0d-3943-40a6-8cdb-9b8f3f79d9ec","year":2021},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:a54cbd9e857f0d0a16c1c8b2e7008c8cd3f957ef98adb9517d6f1203dcd57689","observation_id":"1e930044-1559-46d3-bbeb-7e420d4ce142","resolution":{"observed_at":"2026-05-21T22:40:43.623945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Debiased contrastive learning.Advances in neural information processing systems, 33:8765– 8775","venue":null,"work_id":"17ffd5f8-9373-4a40-a11f-1d99425b97c9","year":2020},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:66ed0579c218ae1633e3d7668e1e1eabc2472ab81c722ba00162df8e4fb1fc77","observation_id":"9295d871-1f27-4a79-8287-a2da65858759","resolution":{"observed_at":"2026-05-21T22:40:43.589071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unrolling SGD: Understanding factors influencing machine unlearning","venue":null,"work_id":"0ce2a594-252b-4c62-b7fd-5f28a5889054","year":2022},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:8f0de91dfe40498e9d83a795487a98cb532033619b51849b429e9fda43eb309e","observation_id":"d6ed75c8-ac06-4faa-bc8b-91270aeb19e2","resolution":{"observed_at":"2026-05-21T22:40:43.621438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Eternal sunshine of the spotless net: Selective forgetting in deep networks","venue":null,"work_id":"d880a7bc-74e0-45cb-920a-762808b5bea7","year":2020},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:05f7196590e692162a62a3c2e3b8e43090cb3821a2c7aca51797ed8e0021831d","observation_id":"ccf0b15e-f169-418d-803e-b889473e35f0","resolution":{"observed_at":"2026-05-21T22:40:43.583610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","venue":null,"work_id":"c7379c33-8eb7-470e-acf8-2688ea4bba9e","year":2019},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:67212bdd25f160a102ba5364a631a7005fbd4df5a393834084dddb8476b36e5b","observation_id":"02d9c394-03ce-41b1-b449-ee2dee1e202f","resolution":{"observed_at":"2026-05-21T22:40:43.597697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sanity checks for lottery tickets: Does your winning ticket really win the jackpot?Advances in Neural Information Processing Systems, 34:12749–12760","venue":null,"work_id":"b3b09b6e-95d7-4032-9338-b72e86d5e51d","year":2021},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:5d0a53d6cb97617bbff062a770b3ca7fbc3a801429a970c6b4327b46dde0f712","observation_id":"8a2c6c37-1566-4011-8fb5-756ade149e73","resolution":{"observed_at":"2026-05-21T22:40:43.616326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast machine unlearning without retraining through selective synaptic dampening","venue":null,"work_id":"9e2d390d-252b-4f9e-a668-334e5a10d8ab","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:d39535ea861a8c2d478063c7ca6f4bcb3df1f608b807610734e581f8a60231e0","observation_id":"cbcc07fc-ce16-433f-b7a7-73b7c4d43bdf","resolution":{"observed_at":"2026-05-21T22:40:43.618914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"What makes for good views for contrastive learning?Advances in neural information processing systems, 33:6827–6839","venue":null,"work_id":"0118829f-bc0b-42ed-bc95-eb7116d072ab","year":2020},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:a323efa84f9a2700e26f6f9c5c0610114ee6a3e0f6c78557fff0cc442c5f319b","observation_id":"543d84eb-ed1d-4d12-a82b-2cb3631de86d","resolution":{"observed_at":"2026-05-21T22:40:43.594391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.04297","last_updated":"2020-03-09T17:56:49Z","snapshot_observed_at":"2026-07-06T09:03:25.467987Z","submitted_at":"2020-03-09T17:56:49Z","title":"Improved Baselines with Momentum Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2003.04297","doi":"10.48550/arxiv.2003.04297","metadata_source":"pith","pith_arxiv_id":"2003.04297","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Improved Baselines with Momentum Contrastive Learning","venue":"cs.CV","work_id":"f275e715-bcdc-487c-bc31-6f98d8a01f5c","year":2020},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"cited_paper":"/paper/2003.04297","citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:dd6a9f7ae354cdd12561eb63fc21f3c6a85feb1275a0336deb85face9f783698","observation_id":"dc65ea81-cbf3-47fb-8a7b-31e65c7ecf75","resolution":{"observed_at":"2026-05-21T22:40:43.115492Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-07-08T01:44:26.956021Z","title":"Barlow twins: Self- supervised learning via redundancy reduction","venue":null,"work_id":"70153638-3b9b-46ec-b9bd-3eb4dd42d57f","year":2021},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:350fc6b6bc59066769ce03260c1acb5308636160e9ab9bba13d2c4d517310bb2","observation_id":"d2463dc2-53fe-48b4-afc4-79d9254d3960","resolution":{"observed_at":"2026-05-21T22:40:43.648793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"VICReg: Variance-invariance-covariance regular- ization for self-supervised learning","venue":null,"work_id":"2694b0f0-69f7-4300-bc68-1a264e8c6482","year":2022},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:088b560d6713ad908fb2037470d2f07403733448a56fed66325ce24da2eb13a8","observation_id":"2881cd91-c292-4428-a55b-0fab32c08366","resolution":{"observed_at":"2026-05-21T22:40:43.573447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.10458","last_updated":"2024-01-19T02:16:30Z","snapshot_observed_at":"2026-08-10T15:38:40.609531Z","submitted_at":"2024-01-19T02:16:30Z","title":"Contrastive Unlearning: A Contrastive Approach to Machine Unlearning","version":1},"cited_work":{"arxiv_id":"2401.10458","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.10458","snapshot_observed_at":"2026-07-04T16:59:58.214267Z","title":"Contrastive unlearning: A contrastive approach to machine unlearning","venue":null,"work_id":"56643611-3fb4-4cc1-b61b-dd2b781f7c20","year":2024},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"cited_paper":"/paper/2401.10458","citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:cb81cd1b99c45894958997a453b86fce60e3bf19cba6091f2dca5ed5ebd844f4","observation_id":"6fa9a975-1f72-462b-8ee7-168ef76f9230","resolution":{"observed_at":"2026-05-21T22:40:43.129806Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A theoretical analysis of contrastive unsupervised representation learning","venue":null,"work_id":"03b67438-25d3-4e00-8ea8-aff93c499e6a","year":2019},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:eae8606f4c87a3534d85d55db779fabdd3803c41e038bb00b050dae851b11072","observation_id":"cdc0676c-14ec-4c8e-8609-9f04801c9194","resolution":{"observed_at":"2026-05-21T22:40:43.602658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards the generalization of contrastive self-supervised learning","venue":null,"work_id":"22324f56-39e2-45f5-bf43-93acbc464d52","year":2023},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:c6a65a1fd1de29f2f4fa7a0cef76d797b055609dc803529726b9960fd874146b","observation_id":"e1ba7bde-4009-40cc-8b14-4c6ea3de42dc","resolution":{"observed_at":"2026-05-21T22:40:43.607446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The CIFAR-10 dataset.online: http://www","venue":null,"work_id":"24429b50-1ef1-4b55-8af0-03b57dd5120c","year":2014},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:6ab1d701b53369577deef032ee74939335b1d74bf0e5450ff7c4a3d76f814578","observation_id":"8fa800c3-594b-4e0a-9bf9-5d7e53c969ba","resolution":{"observed_at":"2026-05-21T22:40:43.604945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tiny ImageNet visual recognition challenge.CS 231N, 7(7):3","venue":null,"work_id":"df1b2ad8-08bf-42dd-b7e3-7be5103a03e8","year":2015},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:c6676547513e1969e5cdc59b78c9677e15d61542fb56727eb2711e99ae8a6b4e","observation_id":"0244402d-6150-434a-9991-f5c91c01d191","resolution":{"observed_at":"2026-05-21T22:40:43.610593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-07-11T03:47:55.367441Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"9a00f23b-71b4-4f99-a115-0d30a296f178","year":2016},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:11ae1073b050e9e9704325ab8084b6bad6f87aee0a0135b805458268f60291bd","observation_id":"8fe18c6f-7451-436b-b6c9-3223892163f9","resolution":{"observed_at":"2026-05-21T22:40:43.613540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-10T22:24:05.831832Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":"1409.1556","doi":"10.48550/arxiv.1409.1556","metadata_source":"pith","pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","venue":"cs.CV","work_id":"1c4b4409-c14b-488b-a086-c57a5aab8a29","year":2014},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:bd47af43f753ffee06383e9787034e7b76978c2b2193a0921c515da8d1a85de9","observation_id":"9ddd17e5-ff8e-46df-9317-8adfe356dacd","resolution":{"observed_at":"2026-05-21T22:40:43.120051Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-07-12T23:51:07.915518+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T23:51:07.915518+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.13492","last_updated":"2021-12-27T03:24:03Z","snapshot_observed_at":"2026-08-10T01:24:59.733860Z","submitted_at":"2021-12-27T03:24:03Z","title":"Vision Transformer for Small-Size Datasets","version":1},"cited_work":{"arxiv_id":"2112.13492","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.13492","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vision transformer for small-size datasets","venue":null,"work_id":"aba98552-6e0e-495d-b173-6d118dcc100a","year":2021},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"cited_paper":"/paper/2112.13492","citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:272daa5793fd197d45dc1b98c17a368c66c1c199945c5bff01a6614c4d86a9b1","observation_id":"f8bbdefb-9705-4d8a-90d4-fd70a2cb2d28","resolution":{"observed_at":"2026-05-21T22:40:43.125538Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Supervised contrastive learning.Advances in neural information processing systems, 33:18661–18673","venue":null,"work_id":"8f7e9e07-b4ee-4e6d-8142-c7b50a7b6507","year":2020},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:78e21933881f00800a3e56b0807d7930629e6ae462c59ea84dcf65c35680a7af","observation_id":"3e3e7dc1-638f-4c68-9f10-6574a4ce80b0","resolution":{"observed_at":"2026-05-21T22:40:43.643476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Flat minima.Neural computation, 9(1):1–42","venue":null,"work_id":"4d7b8cd8-d98b-4ff3-99ef-aa1dda982a1d","year":1997},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:d1b9e886f3a03ead7a9b76c8f4ef4bdeae74f17be70c8c9ea1ff1cb05c5da30c","observation_id":"132519bc-e96b-46bf-86ce-b1edac8643c7","resolution":{"observed_at":"2026-05-21T22:40:43.576152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pytorch: An imperative style, high-performance deep learning library","venue":null,"work_id":"24ac2ad3-1582-4b99-8140-af1cd9bc6296","year":2019},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:723491220c76ccc9090729cfeedfc273086be6a8d31f0f40c0cecb5527017f7f","observation_id":"78afbe8d-f5fe-4777-9edc-085bc4e9f82d","resolution":{"observed_at":"2026-05-21T22:40:43.646154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ImageNet large scale visual recognition challenge.International journal of computer vision, 115:211–252","venue":null,"work_id":"d5afa05e-fea7-46c6-8f67-c643f8abe84b","year":2015},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:c934f9ff9a6be690b20c35b13fa3b3fb7873c46c4e8b38e37641b4fb7cf64e84","observation_id":"2c2bda9a-f21d-4581-8467-685291f75baa","resolution":{"observed_at":"2026-05-21T22:40:43.563670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Forgetting ScenarioMethod L2 - (∆↓) Avg","venue":null,"work_id":"14daac16-d80a-425d-af9c-3afc2595c5ac","year":2023},"citing_paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-21T22:40:22.028526Z"},"links":{"citing_paper":"/paper/2509.16391"},"observation_digest":"sha256:06102592ee7d6650ee27f7a30a268f08ce87630ac8c2fa3fbe2af4c77730bf25","observation_id":"80317dce-535f-48c9-b3ce-eaedb734ddf7","resolution":{"observed_at":"2026-05-21T22:40:43.568521Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.16391","last_updated":"2026-05-17T18:41:49Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T22:30:21.881075Z","submitted_at":"2025-09-19T20:12:49Z","title":"CoUn: Empowering Machine Unlearning via Contrastive Learning"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":4,"verified_fuzzy":40},"total_outbound_references":45},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2509.16391."}