{"as_of":"2026-08-07T19:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2d87e654c774d007f801c5b6c2cbf458438ace335099df78c66c8a48b5e45de7","coverage":[{"denominator":104,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T15:58:55.037594Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.09866/citation-record","integrity":"/paper/2606.09866/integrity","json":"/paper/2606.09866/citation-record.json","paper":"/paper/2606.09866"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T15:58:55.037594Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:4bb4a0610cc8d27f478aa7df59d8b8358a7ea7ebea28b764086414125df01f9e","observation_id":"8aaa1337-de24-4099-9933-6ae66456dd62","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Journal of machine learning research , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:d62eb81c203fa408a2e31f56507e3bb2d5ca6fe8c6d47248cbdd14b8ff21869b","observation_id":"d7b30f7d-44ea-43db-adc6-032e8117b173","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:44212f6b2ea9b080e9a9d99251609dabbbfbb1ffe70addc0adbf50293fd22cf5","observation_id":"41bfbddb-9c11-4304-bc4c-70b845dc0a12","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:31db3c20c73d640724779a2bd6b6166811278292ed1581e2b56a1deab9e52e6f","observation_id":"11903ebb-2dd2-4d70-8b17-9b6039e78d43","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Findings of the association for computational linguistics: EMNLP 2020 , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:315edc96c71f563e23fe3d86c3e68ed7c98c4205f07f212335df7a0ff9d85f7b","observation_id":"4b38b114-a3b4-4124-9d8f-1a9f494f1bc7","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:dddd99a2bdb920c16f45eeff739e7238f07c266f9cbf692f5b8839b71ec842e3","observation_id":"3930ef6f-3179-4354-80c5-df34e9c86ad1","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.05862","last_updated":"2022-04-12T15:02:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-12T15:02:38Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","version":1},"cited_work":{"arxiv_id":"2204.05862","doi":"10.1016/j.respol.2005.01.014","metadata_source":"pith","pith_arxiv_id":"2204.05862","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","venue":"cs.CL","work_id":"a1f2574b-a899-4713-be60-c87ba332656c","year":2022},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2204.05862","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:e9b353e558007b21733ef802cb5f0e34b30af95bf658f8a9eef9feba729d9608","observation_id":"30c61459-35bf-4407-b369-b166988d92f8","resolution":{"observed_at":"2026-07-01T21:56:15.984790Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:9da2d63f77624b48a6efd228c5b2467872298cbfbc24340bb48240615e761b58","observation_id":"069a447f-bfb0-4d2b-8078-eb5de2ff2613","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.07172","last_updated":"2025-08-10T04:13:41Z","snapshot_observed_at":"2026-08-05T22:21:24.229687Z","submitted_at":"2025-08-10T04:13:41Z","title":"Gradient Surgery for Safe LLM Fine-Tuning","version":1},"cited_work":{"arxiv_id":"2508.07172","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.07172","snapshot_observed_at":"2026-07-01T21:56:15.987326Z","title":"arXiv preprint arXiv:2508.07172 , year=","venue":null,"work_id":"b3a8efce-35fb-4ee2-b269-5b859a023fed","year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2508.07172","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:36a478fc6e72fe66e34ea419afa33b93c9dc91ba5969cb479e57b911d286283f","observation_id":"eb57267f-6efd-4f4e-a55c-dc5f489e2acc","resolution":{"observed_at":"2026-07-01T21:56:15.989152Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"2004 , publisher=","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:927d94689c84eb089aacce00984975c819ddbbc0a13639d5a21fd4ce28e0eaf2","observation_id":"85168357-f182-418a-85e8-d4b7e2fe3e01","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Mathematical programming , volume=","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:58afb103e8d7291400f7bdcb9398b9b56874ed94482fd029d4dad4f675e43a89","observation_id":"0bdb0d08-565c-4e17-b0e3-1bbac53bf408","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"50 Years of Integer Programming 1958-2008: from the Early Years to the State-of-the-Art , pages=","venue":null,"work_id":null,"year":1958},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:9ab9d4e6c5a084f0c3e691f2aade94bcb392757f62527d30a221cb26fec8cd7d","observation_id":"ae821541-abf0-4327-b39d-0527364b68ee","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:89adb36bd509deb971ee2a70b022dfb30e529cfeab5ddb911236df8f18309844","observation_id":"a291ba04-44b4-4194-b752-eeda6f5bf1e7","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:05f26528cb6da74232153e82f65add089e1522734c34423227c4fbe98a2c2a04","observation_id":"91c0271e-810f-4eb6-b8c9-e4b451fc7d71","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Efficient Lifelong Learning with A-","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:3bdeea588f7db558497b68b1334f03a90e42c01c6148475710eb065aaccb6d9d","observation_id":"84516e63-4a79-49ce-b3d4-0c8fc1fcdd38","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"IEEE transactions on pattern analysis and machine intelligence , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:877880462918fa8f25cb949ac68b9d78c458dea58b841dc3a0aac0e18b2ecae6","observation_id":"b04d4789-347f-4539-8ad6-a9d1f0ad5a9a","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Annals of operations research , volume=","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:89af4ed57fe195f7023c0f7981968e703b8255432d51e2c791a2bbd833b35239","observation_id":"7db37270-eb95-404d-8b8e-16ae8dfd01d7","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:35233af4cd6df6928d2ffcd38e077c0d668cc92c4e6ad111f000ff40804025e8","observation_id":"07fb5c6f-e9c2-4fc4-bb63-69c2a0d9e3a3","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International conference on artificial intelligence and statistics , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:7f8bf74a5842c2738bd2552e8f10629a7132270cf87d817fd29edb45d249b65e","observation_id":"6b2aa12b-7354-4df5-b706-4970e58799b6","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the national academy of sciences , volume=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:77d0bc3f6933ba86adfb8a30d3ccae0878a11ba55d9023d1673420634c347c48","observation_id":"3c742fda-9087-42dd-ab59-aa0a51376db9","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.04671","last_updated":"2022-10-22T14:34:44Z","snapshot_observed_at":"2026-08-05T07:46:46.355580Z","submitted_at":"2016-06-15T08:20:51Z","title":"Progressive Neural Networks","version":4},"cited_work":{"arxiv_id":"1606.04671","doi":"10.1007/978-3-030-58598-3_10","metadata_source":"pith","pith_arxiv_id":"1606.04671","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Progressive Neural Networks","venue":"cs.LG","work_id":"0700d73f-b94d-4cd3-be40-086e4c4544c4","year":2016},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/1606.04671","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:333178dca3f9505debac3ff2f111e88e480582e81dc9b1c6cbdeaa2d41756b88","observation_id":"ff77694f-10b2-429b-8917-f9bfeaf6d836","resolution":{"observed_at":"2026-07-01T21:56:15.979486Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:b128172f73c4b2b1d5c9ee764fc4443f8975111beca6b92e64f0de15f7c71f8f","observation_id":"babd2ef7-c4ef-4d4c-a5ef-21b2ccd547d8","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:0746951c4680aeb1dc69b2003a27629ac917d9c4c5c2c2b5d7852080ff77a3c1","observation_id":"6f80eb97-f2b5-4b92-8c90-3621733954be","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:f763ed936526f730b207d06247aa1c88748db258f40dd6216149e3f27c6ef5ad","observation_id":"eada8329-5c7a-4dca-9c4a-604c50df7fb6","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:9dbd735c88731411a8b432160dc40a23234d8299221931382e165c33543c6580","observation_id":"cd58f7ba-39db-48a5-a5eb-d05968c8a40d","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:e768c81041143de242417e5aa22028edb7d1bf575241c75fc0e0f4dbfa61e33a","observation_id":"a19d4fb8-e5c5-40c8-9ce1-e6a6a03eb460","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Thirteenth International Conference on Learning Representations , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:ba766ce89fadffd7fc49c4f07b7355be93c0a658d8f8114fa12f35fe942e2da7","observation_id":"b1acff2c-d17c-4937-94fd-9820e044fab9","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Thirteenth International Conference on Learning Representations , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:603b9e60849c29de63e72426f198889f2346760267a199e3d0a95cc4a98fbd18","observation_id":"4e73fb22-6f52-457d-b45c-7e39ddcdbcb7","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:44ccabe1c97cbf166c4a9e615f8fbf16613191d339ec5d819bc576479fca8e4f","observation_id":"dd8f8af7-feb4-443d-bbe2-0b4c059a1976","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:12e5954b53bbc38328d2341961a004f142d54afa09030bcbaf5d2b6fabdf6a2e","observation_id":"49c660a9-dbd9-46e2-a7c4-400ee77099d4","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:92b6b2771915f374c7b902775c740f05837be51966c458f72e8e9a75a614a0ea","observation_id":"0d3a4626-612d-4f06-ad98-162c3df5de8c","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:c2e390751d1086a5c487b54118201a8441d542e0fe1a4543013039ce5fa6ae04","observation_id":"33c00148-c6ea-4170-b73c-5a1eac23fb42","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Forty-second International Conference on Machine Learning , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:c8f7c7fff8d34c9848da0dc7cab3eec905bf83f76a5d5d2458caa6878189bcbf","observation_id":"84be8719-f3c6-4660-8265-3246f175256b","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:7b954eed37e32ffae8756b9d70ccd81446b903e6ab2be5a2fb5cabc315a49cbe","observation_id":"9386c1ac-aefa-4ad4-afcc-a91e4d14ed56","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:c24a830b4cca2393e41cd6457b5ad717c4bbd8a5e20be8c633ce85d1173e0a5b","observation_id":"7764f6f4-ce8e-4111-808d-c252493ea3c2","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2510.10085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T21:56:15.980500Z","title":"arXiv preprint arXiv:2510.10085 , year=","venue":null,"work_id":"327f3a57-9af4-4c64-8cbc-099cf7d55f2b","year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:92de863c1f7c8d6ebce0ba3c9b41f965df829b92ee094df3ff8dcf3d175161d8","observation_id":"5057f7ee-1d52-4a55-8527-0510d9f70800","resolution":{"observed_at":"2026-07-01T21:56:15.981956Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"Token-level Data Selection for Safe","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:6a44ed9af8b9d50b5ffea5e5eeaaa44ac76de0b702c81b85841bc88826f49f82","observation_id":"8f2769c7-80ac-4b42-ba63-31186aedada1","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Fourteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:3c640a020de0ddc1990c507e6dec63fff50db6ebf2452dda2633bd26c1793da1","observation_id":"1451845b-c108-4b3c-8d73-1798e2d7ccdf","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:3b66ee37eec8b3f16d8215655017f6dc6fbbb17f9d5ff27c5ccfe56d25c61a6d","observation_id":"171e3b1a-18e6-4173-bbbf-4c0c10b138f3","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.14194","last_updated":"2026-06-05T04:14:41Z","snapshot_observed_at":"2026-08-04T00:54:40.317314Z","submitted_at":"2026-05-13T23:19:55Z","title":"GradShield: Alignment Preserving Finetuning","version":2},"cited_work":{"arxiv_id":"2605.14194","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.14194","snapshot_observed_at":"2026-07-01T21:56:15.964982Z","title":"GradShield: Alignment Preserving Finetuning","venue":"cs.CL","work_id":"2ba16962-2c91-4ec3-9093-add52e2bf1c2","year":2026},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2605.14194","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:f14d727fc8b4bef1759f9f4d956f00c6a6d5b9985566b02802a9c73554f08f1b","observation_id":"9fa60d8a-1ce3-4f78-b505-61c7813e6bc9","resolution":{"observed_at":"2026-07-01T21:56:15.966240Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"Findings of the Association for Computational Linguistics: ACL 2025 , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:94229d8a1191203c618a71e38f2c6803e649c544baf7bec70e125dbd68ee0f75","observation_id":"1bf46f78-6300-452c-bc7e-73669de32688","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:397d88efbc29aae72dfa926a1e6b44d201c3168b453681c1f5ed3b3319c9d787","observation_id":"d7ddd8fb-43a4-4fed-a485-523efba72843","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:49c70e3f49331b4563d45c8635ea4f52806ac62c9219675905ee07516688c65e","observation_id":"96c51948-d381-4ee4-9f0f-1990c9249cc2","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:202648953a29235a0bfb214064fed4feadf36d5edd73b4ee8e6f9f9688e11df8","observation_id":"1ee2c879-87b5-47fc-af44-ae9e57dc6185","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:7e389cf2936461805330d9d894619e3703f220606d15c999878b888c49d50f51","observation_id":"2a1c5912-e0f2-4713-a8c7-7706cd27cd19","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:50c28904c84b8a7aef53eea73b3d0ba1081f9d33c493eac532dd0abf21ff1e41","observation_id":"82e45e7e-52f9-47ea-85c3-7fa94545b51b","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Forty-second International Conference on Machine Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:e19a3ad8c5f34452ec58ee0ece72189d837cc8683bb6c3af51b95f72eb14180d","observation_id":"4952a513-1a65-49cc-9590-816f233cc73f","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Token Cleaning: Fine-Grained Data Selection for","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:c7859dd13f1cb96713e5f5afc2c4259e41a476c93616e843ab45d7a85b49d573","observation_id":"da9e0151-2b00-47a0-ae4b-4dccc56909bf","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:c44c3303c12ad33ba685e172f55d65683aa240a0e1f4778bd07e4bbeab097686","observation_id":"d1fa7457-ba5b-4a55-914b-249533d90b71","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:8f1948a61535a2a5965077e520611dec161a4231196a22bae1955171e154945f","observation_id":"83a35727-afc4-4f00-a77d-0d8419677c42","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:51688020f5c78b56473cb27f56885e907526101657430261ce0a1fc7c7d493a1","observation_id":"d69183bb-1778-49d7-8af5-18aadaf72750","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:a1d76ed961965ac5f83dd25fb66bfca730aa7f40641ffa7895d8b8cdbe78dd89","observation_id":"c7e47128-d21f-4cfb-8f05-f0439a9f644b","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:87ebc9df08c6d200e899cb51237e6524877a1fd23e087529dcabb8f9aa4e93ab","observation_id":"084fb115-a8c1-42bf-800e-2587dde4f4f0","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Diversity as a Reward: Fine-Tuning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:790819d652027caadbcb248c91aa27f30b90b602b496c04350d4314ab48c8ff6","observation_id":"378c3aed-7d7b-420e-9998-e8ad87677a50","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.09195","last_updated":"2026-05-06T09:22:33Z","snapshot_observed_at":"2026-08-04T21:01:14.966050Z","submitted_at":"2026-01-14T05:50:40Z","title":"ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection","version":3},"cited_work":{"arxiv_id":"2601.09195","doi":"10.48550/arxiv.2601.09195","metadata_source":"pith","pith_arxiv_id":"2601.09195","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection","venue":"cs.CL","work_id":"d93f9c18-5a7e-4eba-939d-d5cafa5e9446","year":2026},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2601.09195","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:3ca6af8ff57a17cb441c143c0399ad3f464fdab6ae9becff1118a48dcadcf89e","observation_id":"fa24487e-29f6-4b48-8a2b-fd58cfb9bddf","resolution":{"observed_at":"2026-07-01T21:56:15.960844Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:aff467a3291ffa6469d7da6e5caaf1b87259972d419bb13140ff48515103a5c2","observation_id":"aae9edc3-f4fd-4af9-9f36-8a9ab020900a","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:3b54ba6a12470731bec769d1e15377817c62d14f0014aec3cd0d0825eb419a44","observation_id":"6e799700-17e6-4593-a161-76a559f98ade","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:5677967217e5b2c16a986e626bb3a32759d73e0aa5583a7ede5b593abdfb3afb","observation_id":"412a0805-9c0f-4531-8ec9-e30e2c03d335","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:11922dc223756428928cb4c18e8ed95de0f11cfbaab9f1ceae45ae930e68c3aa","observation_id":"2dc93f79-66bd-4949-bfc3-619ff00077d2","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:5b3d1eb8c1a0754b2dce0feef3275945990789a95cbcc706a2fab4c3c27c96c8","observation_id":"cd03b4c0-bc5c-4f33-bc69-ff1ec21d9aed","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International conference on machine learning , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:a1c46570705a5d78004b49300d57f9dd69bd5e6bdfb44c331ba02b83f746e136","observation_id":"3b22622b-0b91-4cf4-841a-a75b957f3352","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:ccf6746314b7275c00e43d0540895e147e1ec710fe3d69ce032de40be1235d1b","observation_id":"33a1c79f-7442-4039-a2d9-b2dc923a76ab","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:1c6477858d8ce6c240cad1e7d0827c6ff826d8a29f9610e19dfc5b370fdb831c","observation_id":"9f11526e-9af9-4bd9-ac61-bc8fa6f6c4f2","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:92a8ed044adb60844d79683723e3684b3a9d748bb18104c34bb92243d178a999","observation_id":"03d79464-9b99-4882-af71-841fa4f49b82","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:7d5392579da0cd59de4a5732c89dd6f1941842a98330d427b9a193ea9a8adfc2","observation_id":"b6d23275-9802-4728-9072-064e6bf622c9","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:931fa6aaf3a5553ec5107d43c98193e0894cc4b6b594e79a21e197e3067c39c0","observation_id":"9c9b094f-ce51-4fb4-a748-14aa5694cdde","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 31st International Conference on Computational Linguistics , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:533539ab008ef5eb17306ff194985a4ff2ea73e840da56d9205176debf0c3611","observation_id":"13b8a366-5d60-47ec-90e9-b6cf660667b5","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:4a9641af59c6d864ab6fe90e6fc92c0e4e5ee13d4be3f1a276006dce3af16cba","observation_id":"b4e92e26-e5e1-4985-8b52-8738aa9482b5","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:8ee9f178493d07f940915422b348b4c71d8be58b623aab3675c79471614cdbb3","observation_id":"a1570e59-4915-4e74-98f3-14bd4a2439bb","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2509.23893","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T21:56:15.972757Z","title":"Dynamic orthogonal continual fine-tuning for mitigating catastrophic forgettings","venue":null,"work_id":"4b32441e-42a3-48e3-98f8-35d6b3050f73","year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:d2aab976e4bf359137a1c30c22f3d032b9860305d76c1a7318de120bc340f373","observation_id":"cf9c0bf2-4c40-4129-be11-5affdd801a40","resolution":{"observed_at":"2026-07-01T21:56:15.974180Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.15103","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T16:57:24.575777Z","title":"Jerry Liu","venue":null,"work_id":"be1bcddb-4d80-4c6e-94eb-0a6cd0f0ccf2","year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:a4070e1fc3350bceeb73e2312eab4a23c0fe5a79dc06bd3d750ce63df744b031","observation_id":"7640c92f-5c74-4514-bd9c-706443cee901","resolution":{"observed_at":"2026-07-01T21:56:15.964192Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"arXiv e-prints , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:cb43bc83b183ec248e5e24b02b5c48a1ab7cf9054a8ef0185d5cd1b2929b8772","observation_id":"47f60c9b-2419-403b-b6af-edfe05cb8c53","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:23999b905788acb5f0a9d4b738aae760ab8f2a9da7c52f27cb3bd62b89f4dc30","observation_id":"5fa66332-289d-48b3-a26f-d1f43ea98518","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:1acee5ec8ace572a5b3328323bf5970adf17c52479924dbe3df2c6568f45496b","observation_id":"b40c456e-eedb-4453-b6d1-882bdfc5c288","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 2013 conference on empirical methods in natural language processing , pages=","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:283fe95cf3787973c5afc31925751e8285730b14abaf5f2470635dcb52e1b276","observation_id":"19c348fd-b696-467f-8c65-d26d63637548","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:7513b76604e774354a012f79d7b60d2376ab4ac6d7b1ab2dbf1ab91e08d67cbe","observation_id":"0d56e522-6fbb-4d42-a578-de187e54249a","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Hugging Face dataset repository , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:b52ee118d5252846ed8827db58c0225f37615bc4e06abacdc47b41538aeb2856","observation_id":"02db570f-3ff5-4005-934b-3382996ac23d","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02707","last_updated":"2023-06-05T08:58:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-05T08:58:39Z","title":"Orca: Progressive Learning from Complex Explanation Traces of GPT-4","version":1},"cited_work":{"arxiv_id":"2306.02707","doi":"10.48550/arxiv.2306.02707","metadata_source":"pith","pith_arxiv_id":"2306.02707","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Orca: Progressive Learning from Complex Explanation Traces of GPT-4","venue":"cs.CL","work_id":"3e29b6b5-4ea8-4e8a-8fa8-6e63093e31c1","year":2023},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2306.02707","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:5a322748b355272e823b5593ecc3b7c52703be091137b38654ee2fc74a047bdb","observation_id":"5d9261ef-5cde-4859-acc4-9523e0ed1d30","resolution":{"observed_at":"2026-07-01T21:56:15.977263Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.07858","last_updated":"2022-11-22T19:12:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-08-23T23:37:14Z","title":"Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned","version":2},"cited_work":{"arxiv_id":"2209.07858","doi":"10.1136/bcr-2013-201554","metadata_source":"pith","pith_arxiv_id":"2209.07858","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned","venue":"cs.CL","work_id":"1aabd84d-3779-4ba9-ba2f-15ce264a9b1e","year":2022},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2209.07858","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:326ae2f3c00ed991f548cf10c5cf3e463ad1ea3d5636a734753fa954419fb9ed","observation_id":"44342eb4-ec96-44d2-b51b-96ba6dfe796b","resolution":{"observed_at":"2026-07-01T21:56:15.958484Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:1055a80feb0b2afb5199d03d6d3a174d249c2137c784b30115285c20007e966a","observation_id":"eae35a38-bad6-4bb0-a889-69a4bd47826c","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"The Twelfth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:7e49024986566d2c1383a208041e52bcf4727cd281e67737800f7edb4ea0f22e","observation_id":"188090b0-6ccd-433a-8ed6-fc1100c1102b","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Data Selection for","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:7d1fd93bf6a44b8cc235bfed000536bf9eb01532a2f49293bf8ca0cd6fee0ae9","observation_id":"b6123512-4832-4cd0-907b-c02e90151875","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Safety-Tuned","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:b9f2a5d9aaa02433dbee9580750495023735388774314d8274566b7962f9742a","observation_id":"8fc95532-9e69-4aa6-8f59-eae1c233cc55","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:ef82b27f1d6952852058d8d531ab92c04c4baa45c82812de168343337e0a5132","observation_id":"35397159-5796-47d4-8ba7-8cc7d5ceaf2c","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2601.07200","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T21:56:15.975821Z","title":"arXiv preprint arXiv:2601.07200 , year=","venue":null,"work_id":"1f6a0da4-6da6-4319-a800-090744c28ca3","year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:f0f0575e5bb19c58c0bdd553bda336423a4522829a70ee924c4046601c4af85b","observation_id":"008e94b3-f31d-472b-adc4-a82d46cb2a35","resolution":{"observed_at":"2026-07-01T21:56:15.977373Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"Thirty-seventh Conference on Neural Information Processing Systems , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:f83f4915550b75e6246003265c009630f18ac2473803d083b98b3348602dc472","observation_id":"92e41851-f4e2-418c-9b42-f23fe2958d31","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2601.10141","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T10:59:47.100828Z","title":"Understanding and preserving safety in fine-tuned llms","venue":null,"work_id":"0e089953-d7db-4a26-bb9b-8b9458954a1a","year":2026},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:d7f7f7f9810affe2045bc352f9aec9bf9bbfc009a055256e72c459dc1357dbac","observation_id":"c87e31cc-1b6d-4645-83f7-11da7f173a7f","resolution":{"observed_at":"2026-07-01T21:56:15.983056Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"2023 , publisher =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:b9919c723a862bb87a4b4ae2f6093884b9bd1facf1cfca9cd8fa083726b5ac2e","observation_id":"962ed9a7-d77f-4d49-8418-4cc4a7b9200a","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Rethinking Safety in","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:cd94a6ba1f8df306154f00354106352778173cbaecb9b0c803077bee9410bcf5","observation_id":"463ef3fc-3b32-48c5-b285-4234890b80ab","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.22313","last_updated":"2026-07-10T04:20:21Z","snapshot_observed_at":"2026-08-07T12:55:49.357492Z","submitted_at":"2026-01-29T20:54:21Z","title":"Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment","version":2},"cited_work":{"arxiv_id":"2601.22313","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2601.22313","snapshot_observed_at":"2026-07-13T01:17:56.000611Z","title":"arXiv preprint arXiv:2601.22313 , year=","venue":null,"work_id":"6bd858b3-7eb4-411f-860a-b0f72a386d7f","year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2601.22313","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:da015e6797ec980f09b3473dd67dda4d19d8fd1335041f0d5e2061c76d5a4551","observation_id":"a2f19261-a954-42df-b781-c23be9e925dc","resolution":{"observed_at":"2026-07-13T01:17:56.000611Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"Safe Delta: Consistently Preserving Safety when Fine-Tuning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:a8845827f8b2c994617ed06d92e31e755b76b1aa5a33e5c06cee695f0ebdc787","observation_id":"2fb52db6-465e-4abb-89e2-31177a45d231","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2510.21885","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T21:56:15.967632Z","title":"arXiv preprint arXiv:2510.21885 , year=","venue":null,"work_id":"6b3d2011-0f39-4b32-a81d-fcb7889c4fb4","year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:da02111e3d52da1fb49d84f53b9807f957d7c39236c0766f075f2f3aedbc0544","observation_id":"5827dac5-95a8-4b13-8b96-29afc529a124","resolution":{"observed_at":"2026-07-01T21:56:15.969005Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.08297","last_updated":"2026-04-09T14:31:42Z","snapshot_observed_at":"2026-07-06T22:57:26.678728Z","submitted_at":"2026-04-09T14:31:42Z","title":"Towards Identification and Intervention of Safety-Critical Parameters in Large Language Models","version":1},"cited_work":{"arxiv_id":"2604.08297","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.08297","snapshot_observed_at":"2026-07-01T21:56:15.953899Z","title":"Towards Identification and Intervention of Safety-Critical Parameters in Large Language Models","venue":"cs.CR","work_id":"2ad111e8-fc94-4ec7-b2be-e15c7ab17197","year":2026},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2604.08297","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:9af7882b30bb2bdbe3dbf531590050af202b4248f059f1a5f610f828a3646f73","observation_id":"a8ca5eb8-6fc4-439d-b785-77f6a20c7859","resolution":{"observed_at":"2026-07-01T21:56:15.955541Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"Neurips Safe Generative AI Workshop 2024 , year=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:c16c08e2a9d27ef26d04d9b50eb05fd0073a9eaeac590bd441cf133564c913f8","observation_id":"a53b702d-66a7-444d-8ca2-98b2b17f0c1f","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":", journal =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:180b43f503c1939538fce56801afdeb61b811daaa4d053de7a5fdbe7421f1e4b","observation_id":"f97ad5ad-17fe-4d01-aee5-5220bac3660b","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.04572","last_updated":"2026-05-06T07:17:33Z","snapshot_observed_at":"2026-08-01T20:51:20.997015Z","submitted_at":"2026-05-06T07:17:33Z","title":"From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning","version":1},"cited_work":{"arxiv_id":"2605.04572","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.04572","snapshot_observed_at":"2026-07-01T21:56:15.973241Z","title":"From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning","venue":"cs.AI","work_id":"3ad680d6-85d3-4c0a-a041-e8e33a30c53a","year":2026},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2605.04572","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:1c4d6ad8451e821a47925b6e1f5026990e366753c2235e749b457869aa1b49fb","observation_id":"b790cfc3-b005-41cc-9995-05bb40fb365b","resolution":{"observed_at":"2026-07-01T21:56:15.974638Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-06-28T15:58:55.037594Z","title":"Mitigating Fine-tuning Risks in","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:ce40d8e8c3b3466a666e682b41b0454df6d74825bd0d312161368efbd185e4f7","observation_id":"ecf882d2-922d-486a-8f63-91ce86c991d6","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:1f1fb7564610e02f76122a037e6b07d0c7f16a19cc4c49f0a2734bf0e0701de4","observation_id":"829aa11d-3582-47d9-8275-1955dc84e75b","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","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":"2026-06-28T15:58:55.037594Z","title":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:af117b8d01daebf6464aef0d79746c42d1c0ebc09134baeb25972654de9db26c","observation_id":"839fea43-a0ce-4eeb-a826-1f878a978f0d","resolution":{"observed_at":"2026-06-28T15:58:55.037594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":"2110.14168","doi":"10.1002/j.1545-","metadata_source":"pith","pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Training Verifiers to Solve Math Word Problems","venue":"cs.LG","work_id":"acab1aa8-b4d6-40e0-a3ee-25341701dca2","year":2021},"citing_paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-06-28T15:58:55.037594Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2606.09866"},"observation_digest":"sha256:407e1af6abc042d98b6726c3d60aa7a6d1716a7e09ca3527b3ffc60f6594fa60","observation_id":"d5dbed67-1164-48c3-8ce4-f3000f507e5c","resolution":{"observed_at":"2026-07-01T21:56:15.966532Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.09866","last_updated":"2026-06-01T02:43:36Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T02:43:36Z","title":"Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuning"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":12,"parse_uncertain":0,"unresolved":83,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":104},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 0 inbound Pith citation observations for arXiv:2606.09866."}