{"as_of":"2026-08-21T06:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d519bd2f1c3a54b37e2c310ceee86a40227b16653e539aa7a850a2a1b0f8c05","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:36:02.482381Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T15:47:23.349875Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":"2311.15766","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-07-10T15:47:23.349875Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges","venue":"cs.CL","work_id":"0a855f8d-9af2-4eca-bd75-9ac457c93735","year":2023},"citing_paper":{"arxiv_id":"2404.05868","last_updated":"2024-10-10T22:00:41Z","snapshot_observed_at":"2026-07-06T17:57:27.510162Z","submitted_at":"2024-04-08T21:05:42Z","title":"Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-16T22:26:55.008143Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2404.05868"},"observation_digest":"sha256:99951c7cb39f316ec703aaa1cd359e9f2b8ca61b4053b629b1b6e59423c50dfd","observation_id":"4f1acb09-a2d6-452a-be66-222a5bd9e27f","resolution":{"observed_at":"2026-05-16T22:26:55.087564Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-12T14:18:31.536306Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.15477","last_updated":"2024-11-23T07:20:36Z","snapshot_observed_at":"2026-08-18T08:22:36.553000Z","submitted_at":"2024-11-23T07:20:36Z","title":"Towards Robust Evaluation of Unlearning in LLMs via Data Transformations","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-12T14:18:31.536306Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2411.15477"},"observation_digest":"sha256:274400706d05bc7707cd5718aa760cc9d4788af5dec6ae5cea659dab13b3d3a5","observation_id":"1f59f55a-6546-4935-baff-6a2c30e557e2","resolution":{"observed_at":"2026-08-12T14:18:31.536306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-07T14:21:15.707418Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.19286","last_updated":"2025-05-27T06:58:53Z","snapshot_observed_at":"2026-08-19T21:58:53.724152Z","submitted_at":"2025-05-25T19:34:15Z","title":"A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T14:21:15.707418Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2505.19286"},"observation_digest":"sha256:5fe759de5d93861cd2df8aaec3872c2b1565f868a9e8222cd303136399f85333","observation_id":"d88dca77-5fd0-4414-939e-f378bdbd9031","resolution":{"observed_at":"2026-08-07T14:21:15.707418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-07T13:10:02.359079Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges.arXiv preprint arXiv:2311.15766, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23844","last_updated":"2025-05-28T16:24:50Z","snapshot_observed_at":"2026-08-13T12:43:37.915304Z","submitted_at":"2025-05-28T16:24:50Z","title":"Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T13:10:02.359079Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2505.23844"},"observation_digest":"sha256:a36924b9f99fbe6493f9e22e25b47fcc41b6517d7400cf1b2a431f22ab9087e1","observation_id":"f386f2c1-1dcf-4883-b847-5cfdcc60e9ec","resolution":{"observed_at":"2026-08-07T13:10:02.359079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-07T00:29:37.808176Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges.arXiv preprint arXiv:2311.15766,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.14003","last_updated":"2026-05-30T05:18:41Z","snapshot_observed_at":"2026-08-17T11:37:16.239259Z","submitted_at":"2025-06-16T21:03:51Z","title":"Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:29:37.808176Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2506.14003"},"observation_digest":"sha256:ec9fb36ca8cd30009b1b1fa8602837399114806e996f8b2eaf64e931b2ee4731","observation_id":"3226a965-a5fc-43dc-855c-d6711c3185b1","resolution":{"observed_at":"2026-08-07T00:29:37.808176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-15T19:50:54.522688Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges.arXiv preprint arXiv:2311.15766, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15076","last_updated":"2025-06-18T02:42:02Z","snapshot_observed_at":"2026-08-19T23:09:54.985340Z","submitted_at":"2025-06-18T02:42:02Z","title":"Learning-Time Encoding Shapes Unlearning in LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T19:50:54.522688Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2506.15076"},"observation_digest":"sha256:ab5a7ebe4a478b45a8fb09c9fe3029973587bd95e5ef26776fc3a413379d3dc4","observation_id":"d81df198-176a-457d-a1e0-23104658a39e","resolution":{"observed_at":"2026-08-15T19:50:54.522688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-03T20:24:21.249590Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges.arXiv preprint arXiv:2311.15766, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.20196","last_updated":"2026-06-26T06:16:30Z","snapshot_observed_at":"2026-08-19T19:00:45.395647Z","submitted_at":"2025-11-25T11:22:45Z","title":"Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T20:24:21.249590Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2511.20196"},"observation_digest":"sha256:4b4551c9ab35abe06af7b0afb3440dce9d1fe4fd70e6fc58286914ad91c5d7d4","observation_id":"61cd8103-3dd6-4030-b239-4d602ed2f580","resolution":{"observed_at":"2026-08-03T20:24:21.249590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-03T12:25:04.072443Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.03190","last_updated":"2026-07-23T19:26:16Z","snapshot_observed_at":"2026-08-09T14:57:40.708124Z","submitted_at":"2026-01-06T17:10:48Z","title":"Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning","version":4},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-03T12:25:04.072443Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2601.03190"},"observation_digest":"sha256:31da56e9289a5777d0c38cc63c0088ddc0cdca1ff6bc8f2a40c33e6c98723c06","observation_id":"bd6ddb7a-f361-4096-b25f-de82e5aa579f","resolution":{"observed_at":"2026-08-03T12:25:04.072443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-02T21:38:01.820938Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-20T23:12:20.284845Z","submitted_at":"2026-02-23T08:58:48Z","title":"Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning","version":5},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.820938Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:373e3ebdad288b135ce34cd6e63559308a452699654dfb823c20227f1ec583a3","observation_id":"2c58b20e-4dba-418c-a896-9c69f900f470","resolution":{"observed_at":"2026-08-02T21:38:01.820938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":"2311.15766","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-07-10T15:47:23.349875Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges","venue":"cs.CL","work_id":"0a855f8d-9af2-4eca-bd75-9ac457c93735","year":2023},"citing_paper":{"arxiv_id":"2604.06154","last_updated":"2026-04-07T17:54:11Z","snapshot_observed_at":"2026-07-06T22:54:44.656835Z","submitted_at":"2026-04-07T17:54:11Z","title":"Exclusive Unlearning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T18:39:54.728106Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2604.06154"},"observation_digest":"sha256:95184539bca11e5cd5ca6cecea5113f2a6c70f8105e45672ce43dc918bc4eddf","observation_id":"56fa6dbf-2371-4805-aeb1-64eb3dd55c28","resolution":{"observed_at":"2026-05-11T00:10:52.179542Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":"2311.15766","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-07-10T15:47:23.349875Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges","venue":"cs.CL","work_id":"0a855f8d-9af2-4eca-bd75-9ac457c93735","year":2023},"citing_paper":{"arxiv_id":"2604.17396","last_updated":"2026-04-19T11:59:58Z","snapshot_observed_at":"2026-08-17T16:23:09.072924Z","submitted_at":"2026-04-19T11:59:58Z","title":"Representation-Guided Parameter-Efficient LLM Unlearning","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-05-10T06:01:46.885030Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2604.17396"},"observation_digest":"sha256:2b620bc2f4bd2ef1fa69fdec0fc14deea5b570c3f3f843ede64cb7dc4cc33c8d","observation_id":"a2a6aa55-468d-42d6-af21-b6546bb27731","resolution":{"observed_at":"2026-05-10T06:06:19.247818Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":"2311.15766","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-07-10T15:47:23.349875Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges","venue":"cs.CL","work_id":"0a855f8d-9af2-4eca-bd75-9ac457c93735","year":2023},"citing_paper":{"arxiv_id":"2605.05938","last_updated":"2026-08-03T04:01:00Z","snapshot_observed_at":"2026-08-15T00:40:32.654125Z","submitted_at":"2026-05-07T09:46:33Z","title":"ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-08T10:53:27.265815Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2605.05938"},"observation_digest":"sha256:c979d3030d6789bf518a9499ae594c94fba6cf576a79752c735a0ec221d971f8","observation_id":"4d2ed886-cf4a-4fe8-bdb3-0926fba7197a","resolution":{"observed_at":"2026-05-11T19:51:10.992624Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-04T05:20:43.564415Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges.arXiv preprint arXiv:2311.15766, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.05938","last_updated":"2026-08-03T04:01:00Z","snapshot_observed_at":"2026-08-15T00:40:32.654125Z","submitted_at":"2026-05-07T09:46:33Z","title":"ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T05:20:43.564415Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2605.05938"},"observation_digest":"sha256:a0467127d533e081cde147b9fa76c94cd4b66f8e1a33205f816e4aaa086ba7de","observation_id":"638fb06b-9f9f-43c5-aac8-2f94351b5584","resolution":{"observed_at":"2026-08-04T05:20:43.564415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":"2311.15766","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-07-10T15:47:23.349875Z","title":"Knowledge unlearning for llms: Tasks, methods, and challenges","venue":"cs.CL","work_id":"0a855f8d-9af2-4eca-bd75-9ac457c93735","year":2023},"citing_paper":{"arxiv_id":"2607.07907","last_updated":"2026-07-08T20:42:46Z","snapshot_observed_at":"2026-08-14T01:59:45.772219Z","submitted_at":"2026-07-08T20:42:46Z","title":"Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-07-10T15:38:58.361411Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2607.07907"},"observation_digest":"sha256:8fd3d38144222f9c289c7116beabca7308f0d9cc8e67c845c0c7c82cda571da4","observation_id":"3ba440c0-3296-4a65-a8f0-c984ebcfcd20","resolution":{"observed_at":"2026-07-10T15:47:23.350963Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15766","snapshot_observed_at":"2026-08-16T00:36:02.482381Z","title":"arXiv preprint arXiv:2311.15766 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11749","last_updated":"2026-08-12T07:41:31Z","snapshot_observed_at":"2026-08-17T20:12:58.618941Z","submitted_at":"2026-08-12T07:41:31Z","title":"MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning","version":1},"reference_index":161,"source":"arxiv_source","source_observed_at":"2026-08-16T00:36:02.482381Z"},"links":{"cited_paper":"/paper/2311.15766","citing_paper":"/paper/2608.11749"},"observation_digest":"sha256:a90374d8e846e8f77a703220d732ffe400b0ece85add493bf0b2c48b9e303a6e","observation_id":"9d50b608-e26d-485e-af0c-c752da224832","resolution":{"observed_at":"2026-08-16T00:36:02.482381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.15766/citation-record","integrity":"/paper/2311.15766/integrity","json":"/paper/2311.15766/citation-record.json","paper":"/paper/2311.15766"},"outbound":[],"paper":{"arxiv_id":"2311.15766","last_updated":"2023-12-08T01:23:56Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-21T03:18:47.812755Z","submitted_at":"2023-11-27T12:37:51Z","title":"Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2311.15766."}