{"as_of":"2026-08-12T14:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8fb8ea038e4d6f315f639560bac5bfc1fda06cbf38f0a258b93df14afaf2e0c","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:54:37.356576Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2508.20773/citation-record","integrity":"/paper/2508.20773/integrity","json":"/paper/2508.20773/citation-record.json","paper":"/paper/2508.20773"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:54:37.559458Z","title":"Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation","venue":null,"work_id":"506d9254-2e00-4f81-b56e-c071fe5aeb9f","year":2024},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.304892Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:a6b05acbbe30aa01c44ec04a581b085cd3cbbc790ab2054836fc862602b8c2be","observation_id":"14824abc-5450-409f-a521-1dea4e65c7c9","resolution":{"observed_at":"2026-08-05T14:54:37.563081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.549179Z","title":"Fast machine unlearning without retraining through selective synaptic dampening","venue":null,"work_id":"5f70ccce-7e28-4e40-a712-15d744bcbc7f","year":2024},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.308156Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:f28a6a250efedf6110ae7c39cdcc92659d5365879d3b852c4a5ec7df6938a76e","observation_id":"09c70880-cd55-44e3-a37d-26b42282d103","resolution":{"observed_at":"2026-08-05T14:54:37.552791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.539054Z","title":"Eternal sunshine of the spotless net: Selective forgetting in deep networks","venue":null,"work_id":"9fe5f207-c4a1-4d89-a97c-1026fdba685f","year":2020},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.311342Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:2f79b86c14f87d8a84276002320e46ed0b89146cd257c8534e8769a4f7d99729","observation_id":"cb6fba45-ecd5-42a7-b51f-86dc9c8690c2","resolution":{"observed_at":"2026-08-05T14:54:37.542415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.529193Z","title":"Amnesiac machine learning","venue":null,"work_id":"8defed4a-de33-40dc-99e7-348d628af6fb","year":2021},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.314116Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:f31522896e16e74000dd48d2c30cf678c19a841eb89961ad431773770588ca4e","observation_id":"c809ee76-1317-4bc3-92b9-a93365b5958d","resolution":{"observed_at":"2026-08-05T14:54:37.532450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.519035Z","title":"and Soh, H","venue":null,"work_id":"60649777-9a20-4e3d-b9e8-f0e27aa9b757","year":2023},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.316984Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:375120e42096defe6595e483a1454045a6068d02f48293e76fbb8b140b85d4cc","observation_id":"13c09174-cf90-495d-89b1-43e177934103","resolution":{"observed_at":"2026-08-05T14:54:37.522528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.320015Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.320015Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:acc56b4055cce9a03fb3a86bd51085d19018f98cc6c68066019c1dead8310c41","observation_id":"5d4ec391-2a9f-4151-a96d-c9e27f971888","resolution":{"observed_at":"2026-08-05T14:54:37.320015Z","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":"2026-08-05T14:54:37.502738Z","title":"Model sparsity can simplify machine unlearning","venue":null,"work_id":"9cd41fa5-e768-4c24-b508-9e43772994c4","year":2023},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.323187Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:64afe13aa23cdd3e985b628ca36d33c6ea0cc07264d66b68ee8741443427c5ea","observation_id":"6315afe0-0e53-40ea-820c-029d7ebc8ba2","resolution":{"observed_at":"2026-08-05T14:54:37.505974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.492912Z","title":"T., Li, Q., Jin, M., Song, D., and Jia, R","venue":null,"work_id":"5391e257-0887-4eaa-b79b-b0df8351fe4a","year":2024},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.325814Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:786413e1060cd8a2b096eff6f89ea0f15729249a71b7341e8042a00b03ed6972","observation_id":"52a4b861-255d-4ebb-8f2e-fbf9a1b65ff8","resolution":{"observed_at":"2026-08-05T14:54:37.496006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.482949Z","title":"Ablating concepts in text-to-image diffusion models","venue":null,"work_id":"38fea654-bbb1-4227-8ffc-9995c342d9fb","year":2023},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.328554Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:088713f148e668a47e9907b3e779ebd69cf09829bf98a5752d29ce79165ea23e","observation_id":"323c2a11-3597-45b0-bfd0-8d95385f5c70","resolution":{"observed_at":"2026-08-05T14:54:37.486264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.473415Z","title":"Towards unbounded machine unlearning","venue":null,"work_id":"06257324-4de4-457b-92c9-851ab48ba7df","year":1957},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.331645Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:6aca8030d193ea7e9c60c2076e3b66e7c1ed26fa098dbaf375750f7f853f34f1","observation_id":"c396f990-edb7-459b-a18d-c228242f57ea","resolution":{"observed_at":"2026-08-05T14:54:37.476660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.463526Z","title":"Machine unlearning for image-to-image generative models","venue":null,"work_id":"cb063c8c-431d-4cfc-bda9-86767eb4c747","year":2024},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.334529Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:73fed9d3c23bfcfc13c827f6c67e541690ad5ad8cd4e689f05dd185ac5608a0f","observation_id":"6922be5a-d1bc-404d-837a-df7ae86facc9","resolution":{"observed_at":"2026-08-05T14:54:37.466763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.452774Z","title":"Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time","venue":null,"work_id":"7dc72385-7649-49d6-9c1a-b5b7269ed769","year":2023},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.337128Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:9868651a524b7554e750f4010e9b7050075b1507637e4b6c2fdb1e4a71e5be99","observation_id":"8ad798e1-9778-45dd-8933-9fcc894ef425","resolution":{"observed_at":"2026-08-05T14:54:37.456732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.442284Z","title":"and Qiu, Q","venue":null,"work_id":"c76ab34a-6e8a-47ba-a0fe-1b83afd579a8","year":2025},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.339855Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:5de7411edfe408fdb56708d2b4c2d4c257cd3fcea2a8dcd98d211fdb80217d71","observation_id":"79c583d3-b66b-4a0a-918a-746e16eaee7f","resolution":{"observed_at":"2026-08-05T14:54:37.445738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.432372Z","title":"N., Semertzidis, T., Gavves, S., and Daras, P","venue":null,"work_id":"0eb5702e-5203-486d-884f-aaf877f61849","year":2025},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.342523Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:d8f47af732c9bde40ed435621bc6d1fcf6c3a22b0a0cb4e75db58f5a13cd92f8","observation_id":"b72c787f-1b65-4a52-bd22-403499ff7476","resolution":{"observed_at":"2026-08-05T14:54:37.435675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.422257Z","title":"Unrolling sgd: Understanding factors influencing machine unlearning","venue":null,"work_id":"dc76ceb7-2d8c-4ad4-a839-66d782cca34d","year":2022},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.345289Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:58ef2611cf1fa16b9658e7d34674f207ee1457c6f6749174d05380c9b2407e55","observation_id":"b6ca66f5-e6f7-49d0-a546-6921a526c0ec","resolution":{"observed_at":"2026-08-05T14:54:37.425585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.412227Z","title":null,"venue":null,"work_id":"b458578e-52f7-420c-9e31-9d88508db215","year":2024},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.348009Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:f696b95f126c67fe15142f9793148a32994ce4e69459e0e1d6c46d77ba8b8062","observation_id":"f7eabdbb-f5c3-4874-8a91-ce6e28e8799d","resolution":{"observed_at":"2026-08-05T14:54:37.415469Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15537","last_updated":"2025-09-04T11:00:46Z","snapshot_observed_at":"2026-08-12T14:08:45.852587Z","submitted_at":"2024-11-23T12:18:28Z","title":"MUNBa: Machine Unlearning via Nash Bargaining","version":4},"cited_work":{"arxiv_id":"2411.15537","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.15537","snapshot_observed_at":"2026-08-05T14:54:37.381997Z","title":"MUNBa: Machine Unlearning via Nash Bargaining","venue":"cs.CV","work_id":"31784a59-3f91-4ed0-9257-a617939175f5","year":2024},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.350708Z"},"links":{"cited_paper":"/paper/2411.15537","citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:0d3e076338e57ff4177f50aa78e30793de11a22e4047b3b759040bdcd25eaad0","observation_id":"4165f88a-80c6-482a-a8b3-eea9a00c2ed6","resolution":{"observed_at":"2026-08-05T14:54:37.387393Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.401910Z","title":"Diffusion tuning: Transferring diffusion models via chain of forgetting","venue":null,"work_id":"a13b6617-edda-4075-b2cc-992d055726ef","year":2024},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.353729Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:69bf17172ceb6afb980e56913fcbe6829c1a6ea933af0194b0d0ea06651615c3","observation_id":"f577ec25-7e3a-4cbe-885b-e28d708cdf7d","resolution":{"observed_at":"2026-08-05T14:54:37.405360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-05T14:54:37.356576Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T14:54:37.356576Z"},"links":{"citing_paper":"/paper/2508.20773"},"observation_digest":"sha256:c372bb32f13a25b1009fd20e1889796a8405b1b0a6a54e1d7d4eec205e0d98a7","observation_id":"1d7cf1ef-2cd3-4ec5-a2ec-e5291cde6df3","resolution":{"observed_at":"2026-08-05T14:54:37.356576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.20773","last_updated":"2025-08-28T13:29:21Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T19:26:07.949834Z","submitted_at":"2025-08-28T13:29:21Z","title":"Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":15},"total_outbound_references":19},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2508.20773."}