{"as_of":"2026-08-16T01:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e0fa9d9ef4b347b2de849f3a77350a51d4c600a3517ccf025b6f66462f902337","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T21:38:02.356130Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T10:17:01.170338Z","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":"2026-07-02T03:06:30.397422Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","submitted_at":"2026-02-23T08:58:48Z","title":"Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning","version":5},"cited_work":{"arxiv_id":"2602.19612","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.19612","snapshot_observed_at":"2026-07-02T03:06:30.397422Z","title":"Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning","venue":"cs.CL","work_id":"58fd97cc-b912-4aed-a036-01facd079ed0","year":2026},"citing_paper":{"arxiv_id":"2606.03291","last_updated":"2026-06-02T07:55:52Z","snapshot_observed_at":"2026-07-06T23:43:36.420646Z","submitted_at":"2026-06-02T07:55:52Z","title":"Multilingual Unlearning in LLMs: Transfer, Dynamics, and Reversibility","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-28T10:17:01.170338Z"},"links":{"cited_paper":"/paper/2602.19612","citing_paper":"/paper/2606.03291"},"observation_digest":"sha256:7d1ea7d90c5785e0fbe03ad3f449caadd3644795d07b72601a41a00b3e4c9736","observation_id":"f71ae195-d0da-4106-9f8f-5cfd0e2618c3","resolution":{"observed_at":"2026-07-02T03:06:30.399093Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2602.19612/citation-record","integrity":"/paper/2602.19612/integrity","json":"/paper/2602.19612/citation-record.json","paper":"/paper/2602.19612"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:00.181361Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":1,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.181361Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:a00d50615947d035249098cd872a47e93a5a3ea70a9f4526b068c94bdbe11359","observation_id":"0971d0d6-b6c3-4724-804a-e8982c14cfbc","resolution":{"observed_at":"2026-08-02T21:38:00.181361Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:00.242155Z","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":"2026-08-14T12:24:51.082100Z","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":2,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.242155Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:5f86c0476352329c7511c5dda27e1644af251f7423c8b85d58b97e36cb95156b","observation_id":"51bd71dc-3ec6-4b72-9f7c-f228b1382420","resolution":{"observed_at":"2026-08-02T21:38:00.242155Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:00.350110Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":3,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.350110Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:6dfbfb57cbcec60c2be55b582e0297741db8e85592ee0190764082f3757dfeba","observation_id":"02336249-4bc1-4e75-8062-3d73ad144570","resolution":{"observed_at":"2026-08-02T21:38:00.350110Z","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":"10.18653/v1/2025.findings-acl.1058","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":null,"work_id":"4ebd2720-5ef1-4fc4-bbaf-b358cfd648c1","year":2025},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":4,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.462092Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:3f48ec6911ed1f020d53d72bbc5184e6c4fa1b0c22f2aec8026efb1fb69f4b00","observation_id":"2a755d20-ea8a-4e11-a268-84c5f38b9bdb","resolution":{"observed_at":"2026-08-02T21:38:17.630058Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.01854","last_updated":"2025-05-31T13:19:34Z","snapshot_observed_at":"2026-08-07T17:56:31.009492Z","submitted_at":"2025-02-22T12:46:14Z","title":"A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.01854","snapshot_observed_at":"2026-08-02T21:38:00.581865Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":5,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.581865Z"},"links":{"cited_paper":"/paper/2503.01854","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:fd3900337ae89c10a2985a1fbc28c17f92d85f68a4992fb7fad1410eca30aab2","observation_id":"f363f5ef-b5a8-4cea-97cf-9469fa271ba3","resolution":{"observed_at":"2026-08-02T21:38:00.581865Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:00.700040Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":6,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.700040Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:3082df4ac7115b857665511c4873e7d1c437dae2150debcecc69f2491bc3ab5c","observation_id":"0a4a9227-42f1-4aee-8134-5a5c12a5de82","resolution":{"observed_at":"2026-08-02T21:38:00.700040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13356","last_updated":"2025-03-17T07:46:49Z","snapshot_observed_at":"2026-08-15T17:35:26.302915Z","submitted_at":"2024-06-19T09:03:21Z","title":"Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13356","snapshot_observed_at":"2026-08-02T21:38:00.813433Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":7,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.813433Z"},"links":{"cited_paper":"/paper/2406.13356","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:0511fb822790dd84d1098a84c7f4d102d7d3c67b103609afab9d545757e46169","observation_id":"3a3b2ede-3861-4d43-be44-73f2e44606c1","resolution":{"observed_at":"2026-08-02T21:38:00.813433Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:00.906304Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":8,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.906304Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:fb4e89cbcd7ef52255e578980fb7c3339049a8c3af56a9807a19aa16f9caacb6","observation_id":"00ec008e-0d2a-4142-8754-a32cc5b75108","resolution":{"observed_at":"2026-08-02T21:38:00.906304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.01504","last_updated":"2022-12-19T11:52:40Z","snapshot_observed_at":"2026-08-13T14:13:28.459055Z","submitted_at":"2022-10-04T10:18:11Z","title":"Knowledge Unlearning for Mitigating Privacy Risks in Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.01504","snapshot_observed_at":"2026-08-02T21:38:00.999082Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":9,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:00.999082Z"},"links":{"cited_paper":"/paper/2210.01504","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:7f3cd376d47eca7703f17b11a0dd1fda6b14bbb6428e17d5f7b78e6934b20e17","observation_id":"4919a8de-3fba-41c3-b1f5-baaf2b2f158f","resolution":{"observed_at":"2026-08-02T21:38:00.999082Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:01.098773Z","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":"2026-08-14T12:24:51.082100Z","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":10,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.098773Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:f44d796c6552eb5f8ed9a5dd26a7121b269447f94ad8d33c8d819293294a7e3a","observation_id":"6da16558-c859-4137-aff6-3d1e542a16db","resolution":{"observed_at":"2026-08-02T21:38:01.098773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03218","last_updated":"2024-05-15T19:16:09Z","snapshot_observed_at":"2026-08-15T06:18:34.739211Z","submitted_at":"2024-03-05T18:59:35Z","title":"The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03218","snapshot_observed_at":"2026-08-02T21:38:01.190425Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":11,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.190425Z"},"links":{"cited_paper":"/paper/2403.03218","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:afa54e717a47ee844906288e6d7faf92e1a241e12720781d0c33c60967382154","observation_id":"f5ed7add-6148-4433-af57-a986a37eb380","resolution":{"observed_at":"2026-08-02T21:38:01.190425Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:01.308852Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":12,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.308852Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:d54c7ac70f12c4607f64f7d0447153e7abfcdf096e45ffb09e1610d94bd7c850","observation_id":"61eeb429-c332-4a66-bef3-a07ea527dd97","resolution":{"observed_at":"2026-08-02T21:38:01.308852Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:01.370358Z","title":"Lipton, and J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":13,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.370358Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:9e610292dc36de2e6668332b4a6158befb21acac12542c59b643a0169c322fd3","observation_id":"dd31e996-a1fa-440b-a7a7-f4a5b3a0b45c","resolution":{"observed_at":"2026-08-02T21:38:01.370358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06121","last_updated":"2024-01-11T18:57:12Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-11T18:57:12Z","title":"TOFU: A Task of Fictitious Unlearning for LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06121","snapshot_observed_at":"2026-08-02T21:38:01.421217Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":14,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.421217Z"},"links":{"cited_paper":"/paper/2401.06121","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:c5aa504eeb04fe1e09d84fcc736ea04baf5e7eeb96d9fee660e9a98037fa2e47","observation_id":"469c4cae-a64b-4241-b6c7-8563bd31538e","resolution":{"observed_at":"2026-08-02T21:38:01.421217Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:01.493789Z","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":"2026-08-14T12:24:51.082100Z","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":15,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.493789Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:e8e214d223fbfac22123f7723f39670d53604a9a8ed93e06bb38c714c423902c","observation_id":"5abc566b-d06b-48f7-badf-fc24f38b1659","resolution":{"observed_at":"2026-08-02T21:38:01.493789Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:01.572404Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":16,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.572404Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:9522c7bfa9ee053dd9fb027c574e486b08fe6c7bccfbf9d427db324b4d18c69f","observation_id":"4c1eabdb-2b83-4681-bf62-cbc36b61a2c6","resolution":{"observed_at":"2026-08-02T21:38:01.572404Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:01.677344Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":17,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.677344Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:ed22d0d519f067072e08cfa2c31bd3ea16d138254f19d663073d04828a48000e","observation_id":"3e4cc4b5-5e2a-4cfc-8dde-54bf82ad7325","resolution":{"observed_at":"2026-08-02T21:38:01.677344Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:01.767074Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":18,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.767074Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:2bf0084599736cb536058d16776f93c66201a9c6edac56957d774907b3dd8d2d","observation_id":"d0a6fa3b-4704-4f9e-b629-e8fea95b39ef","resolution":{"observed_at":"2026-08-02T21:38:01.767074Z","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":"2026-08-13T05:17:06.965785Z","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":"2026-08-14T12:24:51.082100Z","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:b354c3d11c341e0733d99b42a34c85809006bba150b96ffd9b8299ab84f1bc57","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":"2304.08109","last_updated":"2023-04-18T03:08:18Z","snapshot_observed_at":"2026-08-13T12:01:07.821248Z","submitted_at":"2023-04-17T09:36:36Z","title":"A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08109","snapshot_observed_at":"2026-08-02T21:38:01.889429Z","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":"2026-08-14T12:24:51.082100Z","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":20,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.889429Z"},"links":{"cited_paper":"/paper/2304.08109","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:c714d3539e0c94478002456844acdf74bda643dbc4e6a0d1fcb5077f800658d4","observation_id":"26daa82d-6983-4729-9c43-1f484c0097e0","resolution":{"observed_at":"2026-08-02T21:38:01.889429Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:01.979492Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":21,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:01.979492Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:0706e35eb74e8c5f19260ef2243a7dfd960544a1a2b1eb96e689c40cc29ed586","observation_id":"dea7fd22-aa85-4c3b-bcb2-87f401c3f69d","resolution":{"observed_at":"2026-08-02T21:38:01.979492Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16831","last_updated":"2026-05-16T02:05:58Z","snapshot_observed_at":"2026-08-12T21:11:24.388607Z","submitted_at":"2025-05-22T16:02:10Z","title":"Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16831","snapshot_observed_at":"2026-08-02T21:38:02.052386Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":22,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:02.052386Z"},"links":{"cited_paper":"/paper/2505.16831","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:6a2ea6a731de9476fcdf7c25bc7268805ec9324e3e348112c74231ae2d042c66","observation_id":"23ef1fdb-3e5e-4d6d-90c1-c1627a3d1381","resolution":{"observed_at":"2026-08-02T21:38:02.052386Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:02.134635Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":23,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:02.134635Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:5a6f2017aa73aa34540c747125c909c3349ade454ff77bb48af0118e8495ff11","observation_id":"b61ca0c1-3ecf-41fa-a8dc-002b2d5dda23","resolution":{"observed_at":"2026-08-02T21:38:02.134635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05868","snapshot_observed_at":"2026-08-02T21:38:02.226341Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":24,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:02.226341Z"},"links":{"cited_paper":"/paper/2404.05868","citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:930421161ee54582b366d989fa3cf8341cfb3c6b1416f00b077c69cb4c5d7875","observation_id":"6664b691-ca6f-45f2-b9ad-8bc986fe582f","resolution":{"observed_at":"2026-08-02T21:38:02.226341Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:02.299504Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":25,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:02.299504Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:81188158d2e5a05de2a4bf325b67e30112b3dad1908bb96c5241e44f444c5d80","observation_id":"63d62600-41f9-4e6b-a6ce-8c643c3818a9","resolution":{"observed_at":"2026-08-02T21:38:02.299504Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:38:02.356130Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","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":26,"source":"arxiv_source","source_observed_at":"2026-08-02T21:38:02.356130Z"},"links":{"citing_paper":"/paper/2602.19612"},"observation_digest":"sha256:ca8833cc5acab53a803d79e4712058e55ef3fc70d3c2de783ed6d9a0949aad1a","observation_id":"a9e2baca-207d-4c7e-8e0c-68388639cf07","resolution":{"observed_at":"2026-08-02T21:38:02.356130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.19612","last_updated":"2026-05-30T20:57:39Z","latest_version":5,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T12:24:51.082100Z","submitted_at":"2026-02-23T08:58:48Z","title":"Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":26},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2602.19612."}