{"as_of":"2026-08-10T06:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:41f850a8faece2b730060338d3eba161cc29999a7e05358fcd0f953573551c01","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:33:38.125799Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-05-10T18:39:54.728106Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T00:10:52.199642Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"cited_work":{"arxiv_id":"2506.07795","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.07795","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jiahao Yu, Xingwei Lin, Zheng Yu, and Xinyu Xing","venue":null,"work_id":"1d5e12a5-bba9-4e46-bcad-d5ae94fe12d9","year":null},"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":17,"source":"pdf_text","source_observed_at":"2026-05-10T18:39:54.728106Z"},"links":{"cited_paper":"/paper/2506.07795","citing_paper":"/paper/2604.06154"},"observation_digest":"sha256:51b45407c69b538e426c6716fcf14de6bc0698eca4ba2050e1455f9a92af93bb","observation_id":"02990404-f136-412f-9ed3-b81a4b16005e","resolution":{"observed_at":"2026-05-11T00:10:52.202100Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.07795/citation-record","integrity":"/paper/2506.07795/integrity","json":"/paper/2506.07795/citation-record.json","paper":"/paper/2506.07795"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:43.235495Z","title":"Gpt-4 technical report,","venue":null,"work_id":"3941ee6a-76c8-4e35-ae62-7e568b90e71c","year":2023},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:32.909900Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:f16c1091d6aea596570506f35aff945c5e8554ff4dc2e72cec3179c8d2d55d79","observation_id":"12a73e45-0df2-4919-805a-ac372d921b4d","resolution":{"observed_at":"2026-08-07T05:33:43.361585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-07T05:33:32.971302Z","title":"A survey of large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:32.971302Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:67e8a55d04426f1c0fae3ecdf2074ad1aec12fb19d168d4e90a348c65ec5782f","observation_id":"6afe8de4-66cf-4d34-a67b-eb8cd98796a5","resolution":{"observed_at":"2026-08-07T05:33:32.971302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15159","last_updated":"2024-05-30T15:44:51Z","snapshot_observed_at":"2026-08-06T12:40:47.303011Z","submitted_at":"2024-02-23T07:43:26Z","title":"Machine Unlearning of Pre-trained Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15159","snapshot_observed_at":"2026-08-07T05:33:33.064947Z","title":"Machine unlearning of pre-trained large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:33.064947Z"},"links":{"cited_paper":"/paper/2402.15159","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:432072b4832ae2fd8f76ab4229e9ce1a2559e75e515d621d018b52614c5ae6ef","observation_id":"48b0fe37-4bf1-461c-902a-06f854a8f504","resolution":{"observed_at":"2026-08-07T05:33:33.064947Z","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":"2026-08-07T05:33:42.921641Z","title":"Towards making systems forget with machine unlearning,","venue":null,"work_id":"1c53d92e-29f9-4396-99f6-33078cfb53d7","year":2015},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:33.121036Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:c07ddacae83eb0199052e6715f90d0b6255b58c2d1b4889ddf02a6e0b240f99d","observation_id":"54f8dd10-a0a8-4114-aedf-946b6c1ab7b6","resolution":{"observed_at":"2026-08-07T05:33:43.033573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08787","last_updated":"2024-12-06T21:39:49Z","snapshot_observed_at":"2026-08-09T11:53:57.275236Z","submitted_at":"2024-02-13T20:51:58Z","title":"Rethinking Machine Unlearning for Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.08787","snapshot_observed_at":"2026-08-07T05:33:33.172811Z","title":"Rethinking machine unlearning for large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:33.172811Z"},"links":{"cited_paper":"/paper/2402.08787","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:c6ebe46487c17d470b7c7da3746edcd7fb48f27950ebc8000b88311f2e50582f","observation_id":"99ad6a54-a033-4754-88df-451a54ab7851","resolution":{"observed_at":"2026-08-07T05:33:33.172811Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06535","last_updated":"2023-05-11T02:44:29Z","snapshot_observed_at":"2026-08-09T01:14:53.604498Z","submitted_at":"2023-05-11T02:44:29Z","title":"KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06535","snapshot_observed_at":"2026-08-07T05:33:33.339776Z","title":"Kga: A general machine unlearning framework based on knowledge gap alignment,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:33.339776Z"},"links":{"cited_paper":"/paper/2305.06535","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:9307af93041ef0914ed4c5b26bd9456ff64180b9fefa803c286f289439805d6e","observation_id":"3af76b58-f89e-42d3-a650-ec41e7133e75","resolution":{"observed_at":"2026-08-07T05:33:33.339776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02238","last_updated":"2023-10-04T05:20:19Z","snapshot_observed_at":"2026-08-06T15:19:35.944642Z","submitted_at":"2023-10-03T17:48:14Z","title":"Who's Harry Potter? Approximate Unlearning in LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02238","snapshot_observed_at":"2026-08-07T05:33:33.480384Z","title":"Who’s harry potter? approximate unlearning in llms,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:33.480384Z"},"links":{"cited_paper":"/paper/2310.02238","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:717b14ec4b5510d045c83005d86c18ebaf7d2f37faeb84e04f79de80307d3966","observation_id":"c2bc94c4-c38a-4dad-aac4-0c14327d6dfa","resolution":{"observed_at":"2026-08-07T05:33:33.480384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10058","last_updated":"2024-06-05T04:57:09Z","snapshot_observed_at":"2026-08-05T16:39:22.096191Z","submitted_at":"2024-02-15T16:28:34Z","title":"Towards Safer Large Language Models through Machine Unlearning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10058","snapshot_observed_at":"2026-08-07T05:33:33.583483Z","title":"Towards safer large language models through machine unlearning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:33.583483Z"},"links":{"cited_paper":"/paper/2402.10058","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:01aff61b001998dcf4f4a671d4b5a5ee5a073f1d862d1a14af64b166ae7a4838","observation_id":"17216333-6338-41d6-b3ca-e3a42ffbbbc2","resolution":{"observed_at":"2026-08-07T05:33:33.583483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.03941","last_updated":"2024-06-05T01:14:19Z","snapshot_observed_at":"2026-07-06T15:51:43.130122Z","submitted_at":"2023-07-08T09:28:50Z","title":"Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03941","snapshot_observed_at":"2026-08-07T05:33:33.728813Z","title":"Right to be forgotten in the era of large lan- guage models: Implications, challenges, and solutions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:33.728813Z"},"links":{"cited_paper":"/paper/2307.03941","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:49bfe967f3c7379f57aefc632f038319114812063fa2320774c3c17ca4ca900c","observation_id":"1dc746a0-1e94-471d-9940-93af158c38f1","resolution":{"observed_at":"2026-08-07T05:33:33.728813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04693","last_updated":"2025-03-06T18:40:00Z","snapshot_observed_at":"2026-08-09T06:56:11.806555Z","submitted_at":"2025-03-06T18:40:00Z","title":"UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets","version":1},"cited_work":{"arxiv_id":"2503.04693","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.04693","snapshot_observed_at":"2026-08-07T05:33:38.761966Z","title":"UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets","venue":"cs.CL","work_id":"908202ef-dbff-4cde-bc43-7d461b63acb0","year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:33.856517Z"},"links":{"cited_paper":"/paper/2503.04693","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:d7b88e0f6ede6c40e6f06ebd3e4465f4809841a4057c498a6ed6e1ea25028c3e","observation_id":"7aa01d1d-e572-4c77-89b7-9adc5ee19582","resolution":{"observed_at":"2026-08-07T05:33:38.874323Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10890","last_updated":"2024-06-16T10:47:21Z","snapshot_observed_at":"2026-08-03T22:46:04.459058Z","submitted_at":"2024-06-16T10:47:21Z","title":"RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10890","snapshot_observed_at":"2026-08-07T05:33:34.030285Z","title":"Rwku: Benchmarking real-world knowledge unlearning for large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:34.030285Z"},"links":{"cited_paper":"/paper/2406.10890","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:ac1e1340030d0f1ddab7c12e70528218dcd3b2e5fe7278e071d28ee62f65abae","observation_id":"466abe6c-032d-449b-9502-6c610e096556","resolution":{"observed_at":"2026-08-07T05:33:34.030285Z","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":"2026-08-07T05:33:34.205860Z","title":"Direct preference optimization: Your language model is secretly a reward model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:34.205860Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:5287e41e327022e1aeed2c5826defa5a40718f0616bc035a3c1066d975aff36e","observation_id":"1a5b9e8f-eaab-4535-89f0-7c421d73f400","resolution":{"observed_at":"2026-08-07T05:33:34.205860Z","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":"2026-08-09T15:28:56.392520Z","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":"2026-08-07T05:33:34.304749Z","title":"Knowledge unlearning for mitigating privacy risks in lan- guage models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:34.304749Z"},"links":{"cited_paper":"/paper/2210.01504","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:ab1d536d33e77195f50e939c220ab80dd248c4690dfb69fe116531136c012a15","observation_id":"9097410d-9a65-4610-9550-810aa94f0509","resolution":{"observed_at":"2026-08-07T05:33:34.304749Z","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":"2026-08-07T05:33:34.435534Z","title":"Negative preference opti- mization: From catastrophic collapse to effective unlearning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:34.435534Z"},"links":{"cited_paper":"/paper/2404.05868","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:71b9ec39f67d4644be6b673b680b1172770614357d6c397cec96f8167fd1a2c2","observation_id":"920f4431-5dec-4fa6-8d95-907d50a945d9","resolution":{"observed_at":"2026-08-07T05:33:34.435534Z","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":"2026-08-07T05:33:42.745495Z","title":"Posi- tion: Llm unlearning benchmarks are weak measures of progress,","venue":null,"work_id":"a1d948ad-97d9-4f6b-b664-4c70ff1deb2c","year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:34.590705Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:0f01a88d2e8a387d8f376380783369affc1a5c6d6c56b40ec7264946b7c92ff6","observation_id":"a5be0159-172e-43c7-bad8-78f9b0ea7616","resolution":{"observed_at":"2026-08-07T05:33:42.830142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16835","last_updated":"2024-02-26T18:57:37Z","snapshot_observed_at":"2026-08-08T00:43:51.702314Z","submitted_at":"2024-02-26T18:57:37Z","title":"Eight Methods to Evaluate Robust Unlearning in LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16835","snapshot_observed_at":"2026-08-07T05:33:34.723226Z","title":"Eight methods to evaluate robust unlearning in llms,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:34.723226Z"},"links":{"cited_paper":"/paper/2402.16835","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:84dcbaf05b3124cd9d28876ead82950dbf4217e5a8d2804868a0241b85ad1dd9","observation_id":"2781febf-fda4-4eb4-bcc0-edcda9f96fee","resolution":{"observed_at":"2026-08-07T05:33:34.723226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00106","last_updated":"2024-06-27T10:24:35Z","snapshot_observed_at":"2026-08-09T22:56:17.923881Z","submitted_at":"2024-06-27T10:24:35Z","title":"UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00106","snapshot_observed_at":"2026-08-07T05:33:34.794058Z","title":"Ununlearning: Unlearning is not sufficient for content regulation in advanced generative ai,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:34.794058Z"},"links":{"cited_paper":"/paper/2407.00106","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:b6fbc8c97280074ea62d1a7f44a77bf969b7d642671418bce29111ea42b05bd6","observation_id":"d24048b2-12c7-42c5-9e2d-d4380c57cad5","resolution":{"observed_at":"2026-08-07T05:33:34.794058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T05:33:34.942530Z","title":"The llama 3 herd of models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:34.942530Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:337cd3300a73f1f138d018386ca272b3079f434852e9e4f3a7b4300c776b017d","observation_id":"10835645-804d-40bb-b66f-360007071154","resolution":{"observed_at":"2026-08-07T05:33:34.942530Z","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":"2026-08-07T05:33:35.048121Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.048121Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:815b6cd85d4c6e3e1f514d0683586ccd1fb00b43a45c150d060e126517f5811f","observation_id":"f981370f-b9ba-418d-ab23-1575e6498304","resolution":{"observed_at":"2026-08-07T05:33:35.048121Z","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":"2026-08-07T05:33:42.528285Z","title":"Locating and editing factual associations in gpt,","venue":null,"work_id":"ca60ebf5-6769-45be-994c-a86451b58623","year":2022},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.158522Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:507495d9455a91a10ef9e2088ddb5a714d279e0b5ec2374e992cb517b91a0534","observation_id":"75c53b2c-83ad-4309-8711-539d4a8321a8","resolution":{"observed_at":"2026-08-07T05:33:42.624672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04952","last_updated":"2025-01-09T03:59:10Z","snapshot_observed_at":"2026-08-08T00:46:37.661782Z","submitted_at":"2025-01-09T03:59:10Z","title":"Open Problems in Machine Unlearning for AI Safety","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.04952","snapshot_observed_at":"2026-08-07T05:33:35.279841Z","title":"Open problems in machine unlearning for ai safety,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.279841Z"},"links":{"cited_paper":"/paper/2501.04952","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:25d475d68c6bf8886c17089cdfead7b207d3f12834eda61dbef6dcbe79984dde","observation_id":"91cdf6c8-4e8b-4ee3-bb68-c4f044edabf0","resolution":{"observed_at":"2026-08-07T05:33:35.279841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-07T05:33:35.407298Z","title":"A comprehensive survey of machine unlearning techniques for large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.407298Z"},"links":{"cited_paper":"/paper/2503.01854","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:a5ad70e209de903823f3cfaea717f2f6a017a6d24fda36d6464d42991666d1bb","observation_id":"7515cc1a-c3f5-4783-8e11-d4618ebe8263","resolution":{"observed_at":"2026-08-07T05:33:35.407298Z","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":"2026-08-07T05:33:35.517910Z","title":"Tofu: A task of fictitious unlearning for llms,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.517910Z"},"links":{"cited_paper":"/paper/2401.06121","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:c667fec95f80affd8f17f537eb6e83f0f6ba82d5e858943d998c80ab191f5f02","observation_id":"46921e51-4573-43a6-9983-67eca6f616ed","resolution":{"observed_at":"2026-08-07T05:33:35.517910Z","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":"2026-08-07T05:33:42.250210Z","title":"Measuring massive multitask language understanding,","venue":null,"work_id":"7dec55ef-62b6-422c-a041-65735a485c23","year":2021},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.621708Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:42b0bcd436b472b012fe77fff418cc6377a12396af44f5b765fff085adab41e6","observation_id":"c5f1f0be-101b-480c-9a13-f74ca3e32458","resolution":{"observed_at":"2026-08-07T05:33:42.370238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:41.948793Z","title":"TruthfulQA: Measuring how models mimic human falsehoods,","venue":null,"work_id":"10325a37-5a9a-4aa7-80d2-b4fc34349b1b","year":2022},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.737227Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:1aa3bc1a902d3c53233bf2a278627aff275545fe388d66462822816cd866e8d1","observation_id":"455315b4-eff1-4af2-9cff-524a8bc16797","resolution":{"observed_at":"2026-08-07T05:33:42.136949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:41.687349Z","title":"TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension,","venue":null,"work_id":"74a7d62b-402f-41b6-9fed-d41d1647b794","year":2017},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.834042Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:3ae5d57348b6f3880d7302c0752ef132f7f079a6f4d533348c46d8faf99f401a","observation_id":"070cfd07-9828-4456-b863-c4da72fd9df3","resolution":{"observed_at":"2026-08-07T05:33:41.810206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:41.478080Z","title":"Alpacaeval: An automatic evaluator of instruction-following models,","venue":null,"work_id":"8216d245-35ec-460f-8a60-896e9cb54a4f","year":2023},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:35.965817Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:83ec4948c73f84801e4cd4883d742e06f0cfea6c88c723407d15adf52cc4c3b3","observation_id":"4d259554-f334-45b1-b3c5-f00e3dd9f14e","resolution":{"observed_at":"2026-08-07T05:33:41.545759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:41.237372Z","title":"Dissecting recall of factual associations in auto-regressive language models,","venue":null,"work_id":"cfc8afbb-8ca0-4d66-ab0c-7cd93d47d8cc","year":2023},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:36.143999Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:d89254ab987d3bd329f3eac22294b3fc835bc30a34e803d4e2dc2478a03abea8","observation_id":"dbf8df7e-d6a6-485a-aba6-0c2a9faa06f8","resolution":{"observed_at":"2026-08-07T05:33:41.360577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:40.974018Z","title":"Mass-editing memory in a transformer,","venue":null,"work_id":"0b672d9f-513f-4aab-933f-112a2f853048","year":2023},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:36.240564Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:87df1cf25e88bd8a80835922ac880e6b516fb342712ba065f95cd217299b357c","observation_id":"26281874-de18-4907-8a22-998752f2180d","resolution":{"observed_at":"2026-08-07T05:33:41.034471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:40.701016Z","title":"Knowledge graph enhanced large language model editing,","venue":null,"work_id":"c135ef91-02cf-4750-b949-fce412976f0e","year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:36.325293Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:f3173f92937e8dad352e389cb1c6dfdaac0f19eba3aac2e68d3b56aa8493262a","observation_id":"3d4d0137-9825-4dbb-972d-1f44f7ee5666","resolution":{"observed_at":"2026-08-07T05:33:40.810081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:40.439165Z","title":"Uncovering overfitting in large language model editing,","venue":null,"work_id":"13488b91-08ee-430a-9526-f722476d5fd2","year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:36.476398Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:3599604a7a202370d31636e8aba82bcb4c27b7b2f72cd649526ba9633c961252","observation_id":"6c17274d-3af8-4faf-90cd-6e8245835e5a","resolution":{"observed_at":"2026-08-07T05:33:40.547661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:36.601411Z","title":"Disentangling knowledge representations for large language model editing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:36.601411Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:667e7c7868590e38602a9c2322d7649647adf1c02f9092ba1c469af95c63f759","observation_id":"e2b69a90-7ab6-4186-9319-bbbd8df45271","resolution":{"observed_at":"2026-08-07T05:33:36.601411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12456","last_updated":"2024-08-22T14:53:33Z","snapshot_observed_at":"2026-08-04T13:08:42.591447Z","submitted_at":"2024-08-22T14:53:33Z","title":"Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12456","snapshot_observed_at":"2026-08-07T05:33:36.761894Z","title":"Enhancing multi-hop reasoning through knowledge erasure in large language model editing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:36.761894Z"},"links":{"cited_paper":"/paper/2408.12456","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:d25a586d7b3a6d0743011eb02d3128e1bffb4f2ecc8710e5669d9609f61370ed","observation_id":"a9386550-2245-47d4-9361-b73e391ee20f","resolution":{"observed_at":"2026-08-07T05:33:36.761894Z","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":"2026-08-07T05:33:40.169747Z","title":"Metaformer is actually what you need for vision,","venue":null,"work_id":"11469555-e2f3-4ffe-a397-8c82bebacb3a","year":2022},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:36.886481Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:f0545fe81761ba1fa3715b51bd3d315f148a5c61f307c2813668667bfebb351d","observation_id":"51b1074d-96f5-4b4c-bf15-653302cac37e","resolution":{"observed_at":"2026-08-07T05:33:40.289224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:39.865486Z","title":"Transformer feed-forward layers are key-value memories,","venue":null,"work_id":"7b9ae87a-95ec-4a83-87bd-476df4dde2c3","year":2021},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.033908Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:576d2402d37da98c61d3b4bc5393223f7a0c975629349b3c8b5e1b4a4d9b09e9","observation_id":"254c9e2a-f95c-459d-ad5b-d30d119ef012","resolution":{"observed_at":"2026-08-07T05:33:39.998525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01286","last_updated":"2024-11-17T06:50:44Z","snapshot_observed_at":"2026-08-09T19:25:28.585645Z","submitted_at":"2024-01-02T16:54:58Z","title":"A Comprehensive Study of Knowledge Editing for Large Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01286","snapshot_observed_at":"2026-08-07T05:33:37.096369Z","title":"A comprehensive study of knowledge editing for large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.096369Z"},"links":{"cited_paper":"/paper/2401.01286","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:dacfe2394599d75c333b8ce0e264aae81377aa855abfe2117f7fe9e5a6debe81","observation_id":"3a8b7f6d-6b6d-45b3-971c-9a9f5c355613","resolution":{"observed_at":"2026-08-07T05:33:37.096369Z","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":"2026-08-07T05:33:39.613227Z","title":"Alphaedit: Null-space constrained model editing for language models,","venue":null,"work_id":"f7fbbed5-8b5c-4b2b-911b-a8715089b2b7","year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.220675Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:d18299ab690d73ddaa7ac412a14b3dec0d29f8abe61f82490e11fa789a65fdc2","observation_id":"bdf9b1fc-1c8f-45b0-b507-2c616b95cf14","resolution":{"observed_at":"2026-08-07T05:33:39.726236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10683","last_updated":"2024-02-16T19:47:36Z","snapshot_observed_at":"2026-08-04T08:36:17.664739Z","submitted_at":"2023-10-14T00:32:55Z","title":"Large Language Model Unlearning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10683","snapshot_observed_at":"2026-08-07T05:33:37.387359Z","title":"Large language model unlearning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.387359Z"},"links":{"cited_paper":"/paper/2310.10683","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:41ac7b2c0013164d3e1d54e386cb76908a61b713823738b9bf8c9edaf51e04fc","observation_id":"76fbcd0c-3672-42ce-b8cd-895a4e53e6cb","resolution":{"observed_at":"2026-08-07T05:33:37.387359Z","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":"2026-08-07T05:33:39.353493Z","title":"On effects of steering latent representation for large language model unlearning,","venue":null,"work_id":"5219d43c-fa1e-4e37-a593-68dfdcd1343a","year":null},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.556150Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:c9dc04ae55d6c67e030d4d5bd453c3c26e87aeb64a2d148e965b01ddb2fa49f0","observation_id":"452367a0-49af-4473-98e3-034eea5d8ae7","resolution":{"observed_at":"2026-08-07T05:33:39.492073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:33:37.764756Z","title":"Lunar: Llm unlearning via neural activation redirection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.764756Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:5b071b9023a30e49c1e631c554c476815cd90a29702c2c9da4db401ac7b68a6e","observation_id":"04637071-c935-43d0-bf52-7c5ce1e18b3b","resolution":{"observed_at":"2026-08-07T05:33:37.764756Z","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":"2026-08-09T09:20:14.433688Z","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":"2026-08-07T05:33:37.878756Z","title":"The wmdp benchmark: Mea- suring and reducing malicious use with unlearning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.878756Z"},"links":{"cited_paper":"/paper/2403.03218","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:a51d71b472d8568b3ff6c228574a2cdd33f536004402c110cc51b779ea921834","observation_id":"fdd2f571-1153-49c8-9653-251d8573bd85","resolution":{"observed_at":"2026-08-07T05:33:37.878756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06460","last_updated":"2024-07-14T20:14:02Z","snapshot_observed_at":"2026-07-06T18:43:22.614883Z","submitted_at":"2024-07-08T23:47:29Z","title":"MUSE: Machine Unlearning Six-Way Evaluation for Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.06460","snapshot_observed_at":"2026-08-07T05:33:37.986810Z","title":"Muse: Machine unlearning six-way evaluation for language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.986810Z"},"links":{"cited_paper":"/paper/2407.06460","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:0cefc1f2b8daa84a519f0a2a37f2527d17c3ce3e02feaf5153e389122dedf16a","observation_id":"2f95ffdf-d5b7-41d7-a272-ec7ff84e6c92","resolution":{"observed_at":"2026-08-07T05:33:37.986810Z","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":"2026-08-07T05:33:39.106598Z","title":"LoRA: Low-rank adaptation of large language models,","venue":null,"work_id":"743a81e8-1132-4947-a4d5-c1ab079cc145","year":2022},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:38.125799Z"},"links":{"citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:6c054d9792fab5354da885971dad38bf10f78fee93b9074f2c15e9b4ba355e30","observation_id":"118f8ea2-748b-4d86-8f9d-28991d643d4d","resolution":{"observed_at":"2026-08-07T05:33:39.200652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06223","last_updated":"2025-02-06T02:25:18Z","snapshot_observed_at":"2026-08-09T23:56:07.151977Z","submitted_at":"2024-08-12T15:24:50Z","title":"On Effects of Steering Latent Representation for Large Language Model Unlearning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06223","snapshot_observed_at":"2026-08-07T05:33:37.691312Z","title":"Available: https://arxiv.org/abs/2408.06223","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T05:33:37.691312Z"},"links":{"cited_paper":"/paper/2408.06223","citing_paper":"/paper/2506.07795"},"observation_digest":"sha256:bdf8a84bc89771fc6feb2bfa5be2b037cba362fd402b6ddbf4e6bb16f7799c74","observation_id":"8433fff0-1402-4309-9e85-3d37f323c16d","resolution":{"observed_at":"2026-08-07T05:33:37.691312Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.07795","last_updated":"2025-06-09T14:21:25Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T15:28:46.648315Z","submitted_at":"2025-06-09T14:21:25Z","title":"LLM Unlearning Should Be Form-Independent"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":1,"verified_fuzzy":17},"total_outbound_references":44},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.07795."}