{"as_of":"2026-08-10T21:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:386d672fc6932fcc4b3bf60ca2806ccf3a31c3a182021a74eecfd3992e6fe30f","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:03:37.541676Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2608.05813/citation-record","integrity":"/paper/2608.05813/integrity","json":"/paper/2608.05813/citation-record.json","paper":"/paper/2608.05813"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.14439","last_updated":"2025-04-20T01:16:24Z","snapshot_observed_at":"2026-08-07T16:00:51.819068Z","submitted_at":"2025-04-20T01:16:24Z","title":"LoRe: Personalizing LLMs via Low-Rank Reward Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.14439","snapshot_observed_at":"2026-08-07T23:03:37.442512Z","title":"Lore: Personalizing llms via low-rank reward modeling.arXiv preprint arXiv:2504.14439,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.442512Z"},"links":{"cited_paper":"/paper/2504.14439","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:cc151139377917cd0c93f72b2f1d6f4299b60ab2cb029f8b13f5471cf91f524f","observation_id":"78095518-2691-4c04-936b-dde539db32b6","resolution":{"observed_at":"2026-08-07T23:03:37.442512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17319","last_updated":"2023-05-27T00:49:11Z","snapshot_observed_at":"2026-07-06T15:34:13.017210Z","submitted_at":"2023-05-27T00:49:11Z","title":"Moral Machine or Tyranny of the Majority?","version":1},"cited_work":{"arxiv_id":"2305.17319","doi":"10.48550/arxiv.2305.17319","metadata_source":"pith","pith_arxiv_id":"2305.17319","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Moral Machine or Tyranny of the Majority?","venue":"cs.CY","work_id":"6da1a33c-bb81-4e23-ad8d-e7a9f7079ab1","year":2023},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.496331Z"},"links":{"cited_paper":"/paper/2305.17319","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:2a61490851f6732a6bc011d4bc77678ba3bb508e99be5a306eb49d1c7f897f90","observation_id":"57544cd0-9046-460e-9e34-6a10d56ec82f","resolution":{"observed_at":"2026-08-07T23:03:37.612779Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00524","last_updated":"2025-06-01T06:31:59Z","snapshot_observed_at":"2026-08-10T15:19:16.184040Z","submitted_at":"2024-11-01T11:49:33Z","title":"Comparison-based Active Preference Learning for Multi-dimensional Personalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.00524","snapshot_observed_at":"2026-08-07T23:03:37.507104Z","title":"Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.507104Z"},"links":{"cited_paper":"/paper/2411.00524","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:92c6a62df4ee24dde982f93b9f992d4afb9d2e0e202c1bfabde99b6fc27e04f2","observation_id":"ee296505-adf7-43e7-b74d-42ed2c27876a","resolution":{"observed_at":"2026-08-07T23:03:37.507104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T23:03:37.512465Z","title":"The reward model selection crisis in personalized alignment.arXiv preprint arXiv:2512.23067,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.512465Z"},"links":{"citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:0b0969cb702025ac1b7678f93c512601e75fdc83e321c5333c1b9433154a6d3a","observation_id":"3f97672c-a771-495f-940e-bd521d1412de","resolution":{"observed_at":"2026-08-07T23:03:37.512465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05070","last_updated":"2024-08-20T19:14:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-07T18:21:17Z","title":"A Roadmap to Pluralistic Alignment","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05070","snapshot_observed_at":"2026-08-07T23:03:37.522775Z","title":"Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, and Meng Jiang","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.522775Z"},"links":{"cited_paper":"/paper/2402.05070","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:d46f3bb3d87e86374227025acbbd0b0ee3ab6db3578b9eab6d43fbdae6ee2727","observation_id":"9ec670eb-9ef6-40db-95d5-c981b3258f4d","resolution":{"observed_at":"2026-08-07T23:03:37.522775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T23:03:52.777613Z","title":"Fast: Feature-aware sampling and tuning for personalized preference alignment with limited data","venue":null,"work_id":"188ce5f8-3e11-4a0b-9df3-6a613ec5f57d","year":2025},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.527520Z"},"links":{"citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:46fad4125b0b35da14be9043aee9245da6a6d996526a784bee5a6690bf7354a0","observation_id":"e11168a8-14fd-49b2-9556-08e3133d22a9","resolution":{"observed_at":"2026-08-07T23:03:52.782367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-07T23:03:37.536714Z","title":"Bertscore: Evaluat- ing text generation with bert.arXiv preprint arXiv:1904.09675,","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.536714Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:a2304c3c8599fc3f110dd8a2a1eb99bfb9c1f24abd7c68658f6089d8c42d0ea4","observation_id":"8801be8f-7e00-4d44-a471-d620e869cf51","resolution":{"observed_at":"2026-08-07T23:03:37.536714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-07T23:03:37.532117Z","title":"Qwen3 technical report.arXiv preprint arXiv:2505.09388,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.532117Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:2a066ff5f06fe1cf65f9beef2295b8cf8854e1fa0a521ed3e1dbab23d4993dff","observation_id":"9bca3bc2-fed0-4dfc-915d-46b16b01d12c","resolution":{"observed_at":"2026-08-07T23:03:37.532117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T23:03:52.762414Z","title":"Personalllm: Tailoring llms to individual preferences","venue":null,"work_id":"84e011ab-6d32-45a5-b924-589aff8d83da","year":2025},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.541676Z"},"links":{"citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:919a645e4c11c19f9492115be9fa6a2397706b4108a9d2448d8da60eb8305364","observation_id":"b9851f76-9950-4a86-b7d9-d6dc8ab95696","resolution":{"observed_at":"2026-08-07T23:03:52.767335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01377","last_updated":"2024-07-16T03:24:39Z","snapshot_observed_at":"2026-08-02T07:46:40.319683Z","submitted_at":"2023-10-02T17:40:01Z","title":"UltraFeedback: Boosting Language Models with Scaled AI Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01377","snapshot_observed_at":"2026-08-07T23:03:37.490880Z","title":"Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Tianyu Liu, et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.490880Z"},"links":{"cited_paper":"/paper/2310.01377","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:c7c3c3b9b445004b27bebe491c62aa06c4a1c086594a5b827cb413015d10d36d","observation_id":"f41fcfae-fc17-46da-b870-35f84bdcc7e9","resolution":{"observed_at":"2026-08-07T23:03:37.490880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11564","last_updated":"2023-10-17T20:22:13Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T20:22:13Z","title":"Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11564","snapshot_observed_at":"2026-08-07T23:03:37.501527Z","title":"Personalized soups: Per- sonalized large language model alignment via post-hoc parameter merging.arXiv preprint arXiv:2310.11564,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.501527Z"},"links":{"cited_paper":"/paper/2310.11564","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:63b38f499f0fbffd359b74f6c58d3901cb5b6289b10b442adfc0c8ebc8551e2b","observation_id":"69015792-71e8-43f0-ad82-a7d0194869c5","resolution":{"observed_at":"2026-08-07T23:03:37.501527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06358","last_updated":"2025-03-08T23:41:20Z","snapshot_observed_at":"2026-08-07T17:19:44.883953Z","submitted_at":"2025-03-08T23:41:20Z","title":"Language Model Personalization via Reward Factorization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06358","snapshot_observed_at":"2026-08-07T23:03:37.517737Z","title":"Language model personalization via reward factorization.arXiv preprint arXiv:2503.06358,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T23:03:37.517737Z"},"links":{"cited_paper":"/paper/2503.06358","citing_paper":"/paper/2608.05813"},"observation_digest":"sha256:49c8d535d2d27876945ea747e016a5a15b856a29255ed05ed2f5430aa01c8561","observation_id":"9f3335eb-be0e-4c40-82b7-874b28e23c02","resolution":{"observed_at":"2026-08-07T23:03:37.517737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.05813","last_updated":"2026-08-06T09:45:25Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-10T07:25:51.890367Z","submitted_at":"2026-08-06T09:45:25Z","title":"Cautious Context Steering for Language Model Personalization"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":12},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2608.05813."}