{"as_of":"2026-08-18T03:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9f583651a0d1ceb687968919ff3330f0083229baa1e0bfce3db0d98cd9ec132e","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T18:55:36.515230Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:39:51.887277Z","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":"2026-08-06T00:39:52.285323Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"cited_work":{"arxiv_id":"2606.00105","doi":null,"metadata_source":"pith","pith_arxiv_id":"2606.00105","snapshot_observed_at":"2026-08-06T00:39:52.285323Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","venue":"cs.CV","work_id":"ca77e284-19c7-4988-b407-8433aae6ee4e","year":2026},"citing_paper":{"arxiv_id":"2608.01008","last_updated":"2026-08-02T05:23:44Z","snapshot_observed_at":"2026-08-16T18:35:27.825141Z","submitted_at":"2026-08-02T05:23:44Z","title":"Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-06T00:39:51.887277Z"},"links":{"cited_paper":"/paper/2606.00105","citing_paper":"/paper/2608.01008"},"observation_digest":"sha256:5af8263647e028d639c430200257cb3baa9d84ef4a0f116a929f8e02464589fe","observation_id":"b3abd9cc-250c-49fe-98d5-cb94aa01e0a3","resolution":{"observed_at":"2026-08-06T00:39:52.356575Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.00105","snapshot_observed_at":"2026-08-04T19:44:45.873554Z","title":"arXiv preprint arXiv:2606.00105 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01849","last_updated":"2026-08-03T07:57:34Z","snapshot_observed_at":"2026-08-16T14:08:38.154306Z","submitted_at":"2026-08-03T07:57:34Z","title":"Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-04T19:44:45.873554Z"},"links":{"cited_paper":"/paper/2606.00105","citing_paper":"/paper/2608.01849"},"observation_digest":"sha256:4ddfbfd3dbd209ed92997614e771603c62fe026ac8fc27c7d1fb19e09e4cb776","observation_id":"0b7fe013-39e5-4779-983f-a6ac71cdf474","resolution":{"observed_at":"2026-08-04T19:44:45.873554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2606.00105/citation-record","integrity":"/paper/2606.00105/integrity","json":"/paper/2606.00105/citation-record.json","paper":"/paper/2606.00105"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:45053a2cea6c0ca0befb259f3c801d6771357dd0b6bf8ea26c9efa5141b68cfd","observation_id":"89b4a154-513a-424a-be3c-61cfa93b6080","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Findings of the Association for Computational Linguistics: ACL 2025 , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:ca0d3c4d5dc78b5ba895acfca1c10c9eb8219016658a16629d6f4b0a13655e78","observation_id":"621b22b2-ac5c-4c96-86cc-92380697eb4c","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:9926865fea9bd361c5d62268fa210223345c48c48416ac5959b030169c56b5fb","observation_id":"7de8a4b8-d183-4045-9103-ebea079e7f1f","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:055375583438bfd752ccdb3ab3861074f18a08e6156ade366c93c79223014638","observation_id":"8efbd713-9e61-4745-9ebd-3b82cc26a386","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-08-17T13:26:10.378579Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":"2511.21631","doi":"10.1016/j.neunet.2025.107777","metadata_source":"pith","pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen3-VL Technical Report","venue":"cs.CV","work_id":"1fe243aa-e3c0-4da6-b391-4cbcfc88d5c0","year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:7afefe5c5152c75e61ef70445ea95adab0954aa803212d179a54c80b19d0fb31","observation_id":"fd789fb9-641e-4193-9c8b-9cd67675c734","resolution":{"observed_at":"2026-06-29T19:03:51.505487Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"European Conference on Computer Vision , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:d05760b640ab461c0ed6ada6bdd1e3cd7bca083adbe348d838e7c588e161438f","observation_id":"75bb32de-6a74-4050-8901-8d1c417448cc","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:6e202de482ce2e977fcc3b9e0bd3d2ad615f631d659e3dc9fa1dd86f1b4b874b","observation_id":"ccf9a8e8-302d-4f46-8aa2-62f379dcfc8a","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:60b89fa229316b31f044b49cf5311882dcebe3162f66830adfda01188d3a1b2d","observation_id":"6edc5850-6994-47a2-b6e7-04469f908b47","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Findings of the Association for Computational Linguistics: ACL 2025 , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:920c41d1382c8f7e7dec3c084778c86133a99aea0d87ea89496f6a589ee3cff6","observation_id":"6d0e3cb5-0137-4e5d-82f7-3b4b30e8db64","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03577","last_updated":"2025-05-08T05:49:30Z","snapshot_observed_at":"2026-08-16T13:12:31.523121Z","submitted_at":"2024-10-04T16:30:54Z","title":"Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.03577","doi":"10.48550/arxiv.2410.03577","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03577","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Look twice before you answer: Memory-space visual retracing for hallucination mitigation in multimodal large language models","venue":"arXiv (Cornell University)","work_id":"10dbba67-a9c0-401a-aef9-db877c93444b","year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2410.03577","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:6151da3ba0aff3ad3661a61fbf217fe791c0cad76ce57e6cec1d1609a8b20ab3","observation_id":"d6e2efe7-84b8-4dbc-9e25-0ee8dcc74477","resolution":{"observed_at":"2026-06-29T19:03:51.505336Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:cd3e711db657ff416ae4fdcf9fdfbdf4bdfad21f2fa3d812500ae7fc57096d9c","observation_id":"76a53732-6d07-4773-9505-48679f9756bc","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2404.05868","doi":"10.48550/arxiv.2404.05868","metadata_source":"pith","pith_arxiv_id":"2404.05868","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning","venue":"cs.LG","work_id":"32464d83-0193-4ca2-8f13-6574d38183ce","year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2404.05868","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:ff3bd6dc65f73a04b90ee26e44bef9b25deb4cff8090cca0af0379dd10a0e0ba","observation_id":"ba9a4ac7-f6c0-49dd-a9a6-929f2feb25c4","resolution":{"observed_at":"2026-06-29T19:03:51.487501Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:b0d7c4acdf18de003016583d0ee41803a19cf47556d76f19036215ec76ec5212","observation_id":"e4239c7b-65b8-4221-86ef-12c2d8e4b89a","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2601.21283","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T19:03:51.491899Z","title":"arXiv preprint arXiv:2601.21283 , year=","venue":null,"work_id":"f4ce14b4-9c33-4bab-b4a8-1ede07827159","year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:60a4ab362fee1b79e6461a235145beeac14230526de8d08480b29d85461fdc9d","observation_id":"5c5617ba-4cce-4b33-b06c-b8e200c3b747","resolution":{"observed_at":"2026-06-29T19:03:51.493588Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07579","last_updated":"2024-06-06T06:31:08Z","snapshot_observed_at":"2026-08-17T21:29:04.285766Z","submitted_at":"2023-10-11T15:19:31Z","title":"In-Context Unlearning: Language Models as Few Shot Unlearners","version":4},"cited_work":{"arxiv_id":"2310.07579","doi":"10.48550/arxiv.2310.07579","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.07579","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Martin Pawelczyk, Seth Neel, and Himabindu Lakkaraju","venue":"arXiv (Cornell University)","work_id":"3848c5fa-1cc8-4dd4-adbc-cfa840b36250","year":2023},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2310.07579","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:50ffee9f6968ea0694d3844cccb0982c1ac6eaad81bbdf4f951bca2c8d8b2e00","observation_id":"bdf0779b-0d45-4fd3-ad69-37d25693ec98","resolution":{"observed_at":"2026-06-29T19:03:51.490597Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18025","last_updated":"2025-05-31T19:22:41Z","snapshot_observed_at":"2026-08-16T13:15:03.296869Z","submitted_at":"2024-09-26T16:32:19Z","title":"An Adversarial Perspective on Machine Unlearning for AI Safety","version":6},"cited_work":{"arxiv_id":"2409.18025","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.18025","snapshot_observed_at":"2026-07-03T17:58:47.261403Z","title":"mlr.press/v97/zhang19p.html","venue":null,"work_id":"6eea2611-f39d-4ddf-be5f-96e7131a7563","year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2409.18025","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:262876805bdfe624669ca64e5eb022d05a6056dd6cde4b4cee83b20e56a63059","observation_id":"54ca28d6-77cb-4f9f-a5f6-b97319187bf0","resolution":{"observed_at":"2026-06-29T19:03:51.502999Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"Neurips Safe Generative AI Workshop 2024 , year=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:31161ee18eb19a2a207d3dac4f9aef35a6807b3e26489c7e69b943049b168979","observation_id":"04d3da1d-3eb7-4ade-9c37-63878a44befd","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:2125e5bb49f04fac7db075ccba6d69f027d99534f90ffeccd48ec136ed32ec75","observation_id":"4b4c906d-f80f-46a8-a595-3a9f86bc8056","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-08-16T12:56:07.079182Z","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":"2503.01854","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.01854","snapshot_observed_at":"2026-07-10T15:47:23.271119Z","title":"A comprehensive survey of machine unlearning techniques for large language models","venue":"cs.CL","work_id":"b257de3b-0c7b-4991-ad19-c5ab5ee2d505","year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2503.01854","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:b42c3ef7712c9cd4eeb0e90816e74994e12d94692b923f1bb1a31539a5e028fe","observation_id":"e8547078-bc1c-4a35-8dfc-7a6571253ec6","resolution":{"observed_at":"2026-06-29T19:03:51.493739Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12191","last_updated":"2024-10-03T15:54:49Z","snapshot_observed_at":"2026-08-06T05:35:29.109022Z","submitted_at":"2024-09-18T17:59:32Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","version":2},"cited_work":{"arxiv_id":"2409.12191","doi":"10.48550/arxiv.2409.12191","metadata_source":"pith","pith_arxiv_id":"2409.12191","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","venue":"cs.CV","work_id":"8abcfe4f-e0fb-44b7-9123-448fac95f90a","year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2409.12191","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:293015947f8d641c7acd8c1a7c94531eb73d98d70cb171f9ecab3f64aeb15e2d","observation_id":"8a9feb2c-f230-4169-9f40-31cedf82eecf","resolution":{"observed_at":"2026-06-29T19:03:51.499960Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-15T14:08:11.914281+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-15T14:08:11.914281+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"Conference on Lifelong Learning Agents , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:fc9674d45a9ccfb0d59e0e7f9bf7fc7b330e09d56b1fbdbaedc250bc4b115040","observation_id":"ad2f7811-7a61-42ef-83b4-cbad8a3620c4","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:09184f274ca8fa17b22465d4642f2b69819e8000e5b43ecf2dfd45a759de1f17","observation_id":"1393d493-cd77-40ef-9224-26211df5655a","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-08-16T14:08:04.457126Z","submitted_at":"2024-01-11T18:57:12Z","title":"TOFU: A Task of Fictitious Unlearning for LLMs","version":1},"cited_work":{"arxiv_id":"2401.06121","doi":"10.48550/arxiv.2401.06121","metadata_source":"pith","pith_arxiv_id":"2401.06121","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"TOFU: A Task of Fictitious Unlearning for LLMs","venue":"cs.LG","work_id":"b05148d7-e817-49f0-be96-3e297fddec9b","year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2401.06121","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:3a11c364524d903258cff0c27d04157c3af32b5069e0c1313e943a51e9116076","observation_id":"969f3b29-ef0e-4e75-9855-ddf9e3a89bdb","resolution":{"observed_at":"2026-06-29T19:03:51.502106Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:3089d38faa33b5abec88f68fa4a5629cc508c07d18205425f764bc3448408648","observation_id":"66118bf5-467a-4f1c-8d9b-58efc4d08756","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":"1503.02531","doi":"10.1109/cvpr52733.2024.01515","metadata_source":"pith","pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Distilling the Knowledge in a Neural Network","venue":"stat.ML","work_id":"d927ab1f-17b8-4002-9d09-c3d55764fbad","year":2015},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:f78b52b5fbad9378818c9ed54bb4c38262c30f02d27b79a73c3d3554cc0f0cae","observation_id":"1befefb7-0205-4475-ad54-cc2902f68577","resolution":{"observed_at":"2026-06-29T19:03:51.487227Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"International journal of computer vision , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:3e773b3338869f47ffcfc7a632d633877c21e7971a56e8a9581e41c4121296b8","observation_id":"f30684f2-4a28-456d-a435-334c3171b5a3","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11285","last_updated":"2024-12-02T05:22:01Z","snapshot_observed_at":"2026-07-06T18:32:02.206165Z","submitted_at":"2024-06-17T07:46:45Z","title":"Self and Cross-Model Distillation for LLMs: Effective Methods for Refusal Pattern Alignment","version":2},"cited_work":{"arxiv_id":"2406.11285","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.11285","snapshot_observed_at":"2026-06-29T19:03:51.479703Z","title":"arXiv preprint arXiv:2406.11285 , year=","venue":null,"work_id":"5912fc1a-2655-41a8-b82c-7bb0cdff4e34","year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2406.11285","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:834f971d255824fbff61ebb963a747c3ebaf010b781308788aa8319055c546eb","observation_id":"7d7c01a5-7924-4e42-89e1-f9d0d86ea1b5","resolution":{"observed_at":"2026-06-29T19:03:51.481671Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01514","last_updated":"2026-07-17T07:41:11Z","snapshot_observed_at":"2026-08-16T13:46:38.538383Z","submitted_at":"2024-06-03T16:46:18Z","title":"Decoupled Alignment for Robust Plug-and-Play Adaptation","version":5},"cited_work":{"arxiv_id":"2406.01514","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01514","snapshot_observed_at":"2026-07-17T00:20:37.449054Z","title":"arXiv preprint arXiv:2406.01514 , year=","venue":null,"work_id":"8bf94443-dc26-49c3-87e1-effb36750121","year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2406.01514","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:464e7e776a71dcd56161bee01a5defac19da6e1fe75ffea345699059cb72b2cc","observation_id":"fa3379a1-4265-4cc4-9902-45899bd50a05","resolution":{"observed_at":"2026-07-17T00:20:37.449054Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the 33rd ACM SIGSOFT international symposium on software testing and analysis , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:bb85f9035609efcd4bd08e1cd457b94ddbd52a40c5a32c960a9ac6d47687f48e","observation_id":"abe5a516-8ec4-4786-b1c2-d42a9012418a","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:faea27488931e601a5f136b601344df0395a0c693c24157a1091f03b8468d011","observation_id":"3b07bd1a-719b-4ccf-afaf-5918a7d754f7","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:ed8e9e398cfb1a24bee4c2dfeca83550626d8fa541a8f90ddaeca2d5922dbb98","observation_id":"1bd4e4e3-51ed-4594-9cdc-ff06bcb24eb1","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:f6a76a075e71377b691b2afcb7cb9bde082dcae25d6c633fcef6cf0c5ccae1dc","observation_id":"c50ae979-1b92-49d4-9c0c-0058884cdfb4","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:8b632b218c69fcde76f44838b84f1b6eecc12b611eb073970e934f1eb62488db","observation_id":"89e59ff3-4428-4d2d-86ec-7fd067be524f","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:27901b23f7278426a72124b5aef63eb0f48eacb0f5d62ec3784756040a0fddc7","observation_id":"48e65de2-82e6-4dbb-ab9d-3c48d7e1ef68","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:61666885d31d0d442a8eb45349de24f0962dc51ab4919fa272ac60e47f5e2d79","observation_id":"b55deffa-8806-4585-9222-1922d4cb000f","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"2021 IEEE symposium on security and privacy (SP) , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:f500ab4723edd2cbb5c554e9d296f96fc08b1c8dba01ec73a1acb82f47d5e812","observation_id":"528cc647-515f-438f-999c-7792705d1860","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:56d766a97ac5e491e3d5f1b97e0b4451b3dc316ff1226989705cc59ea47e6974","observation_id":"6be55693-7b2b-4432-aa83-b2cb7c1ff71a","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Findings of the Association for Computational Linguistics: ACL 2025 , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:8e82356791d6e5c08377e8be9e39f5918aaeebdb0140d845fde46126bd5a2eb0","observation_id":"b233312a-68ad-46fd-aee5-075446689ebc","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03554","last_updated":"2025-03-07T16:05:19Z","snapshot_observed_at":"2026-08-16T13:02:36.275096Z","submitted_at":"2024-11-05T23:26:10Z","title":"Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset","version":3},"cited_work":{"arxiv_id":"2411.03554","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03554","snapshot_observed_at":"2026-06-29T19:03:51.476566Z","title":"arXiv preprint arXiv:2411.03554 , year=","venue":null,"work_id":"693fe470-1539-415a-a550-21b91bec8874","year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2411.03554","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:ec7a51ac3f01a15b3f973b60fbb1b8df17ed388f110cb3f48c8f7d084446645c","observation_id":"af743d6a-da33-4939-aa55-f199ead3c87d","resolution":{"observed_at":"2026-06-29T19:03:51.478542Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02238","last_updated":"2023-10-04T05:20:19Z","snapshot_observed_at":"2026-08-16T14:55:24.066689Z","submitted_at":"2023-10-03T17:48:14Z","title":"Who's Harry Potter? Approximate Unlearning in LLMs","version":2},"cited_work":{"arxiv_id":"2310.02238","doi":"10.48550/arxiv.2310.02238","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.02238","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Who’s harry potter? approximate unlearning in llms.arXiv preprint arXiv:2310.02238","venue":"arXiv (Cornell University)","work_id":"3d191f09-e3c5-46e0-8e20-63e8898018d1","year":2023},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2310.02238","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:20cb15d2b17307c43e3d1726706be668e7a33e132bc4e8b9b25f0d58ce64768c","observation_id":"d7da06b5-ec16-4f05-9bf6-28e667a5f05c","resolution":{"observed_at":"2026-06-29T19:03:51.484661Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:590d2a13a2cf2b7d3293bb577c6034c57e015f03828471084c5d95a99ea92a77","observation_id":"a5ffabd1-0670-4c71-86cb-2a80d01621b1","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07406","last_updated":"2026-04-20T05:27:15Z","snapshot_observed_at":"2026-07-06T18:13:16.171803Z","submitted_at":"2024-05-13T00:58:34Z","title":"Machine Unlearning: A Comprehensive Survey","version":3},"cited_work":{"arxiv_id":"2405.07406","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.07406","snapshot_observed_at":"2026-07-10T18:37:31.200087Z","title":"Machine Unlearning: A Comprehensive Survey","venue":"cs.CR","work_id":"f8b87510-e6a9-4bed-a658-f23bd6eb91ae","year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2405.07406","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:befa2a0789fd8c7f6ce4a8422a430d56deb9070ecfceb281d81d86a07c66f7c3","observation_id":"687ed5db-91a5-4915-8def-984a92564b5c","resolution":{"observed_at":"2026-06-29T19:03:51.481497Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13312","last_updated":"2025-05-19T16:26:58Z","snapshot_observed_at":"2026-08-16T02:44:31.161016Z","submitted_at":"2025-05-19T16:26:58Z","title":"GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection","version":1},"cited_work":{"arxiv_id":"2505.13312","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.13312","snapshot_observed_at":"2026-06-29T19:03:51.460176Z","title":"arXiv preprint arXiv:2505.13312 , year=","venue":null,"work_id":"a3193463-b729-4ce6-9386-ce3a30bbbe96","year":2025},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"cited_paper":"/paper/2505.13312","citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:6bb4cf1abb1f05f7afcc36ada14183091c064922eb8b5e6ea81ff4341cc9ecc2","observation_id":"2ba229bb-95b0-4938-baca-89fde522a047","resolution":{"observed_at":"2026-06-29T19:03:51.462591Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-29T18:55:36.515230Z","title":"ICML 2024 Workshop on Foundation Models in the Wild , year=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:85bad92ade2f4405e40947397e2360f189b1e585aca2db3821a38e42443d3fcf","observation_id":"c9bd7927-ee6d-4b8e-b5ef-b736021c5238","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","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":"2026-06-29T18:55:36.515230Z","title":"Findings of the Association for Computational Linguistics: ACL 2024 , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-06-29T18:55:36.515230Z"},"links":{"citing_paper":"/paper/2606.00105"},"observation_digest":"sha256:694d4a515395ac0d88b5033a2b0c5b91af902029dbd441346ea1020a6a721746","observation_id":"e05fe31e-fdfa-4376-8206-1cad37053582","resolution":{"observed_at":"2026-06-29T18:55:36.515230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.00105","last_updated":"2026-05-26T12:49:34Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T23:34:57.222708Z","submitted_at":"2026-05-26T12:49:34Z","title":"Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":10,"parse_uncertain":0,"unresolved":29,"verified_exact":6,"verified_fuzzy":0},"total_outbound_references":45},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2606.00105."}