{"as_of":"2026-08-07T21:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f866be028a7d04ea26ef7a0e36330de7184554bbca77bc96b05a253ed627b1fe","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T16:39:51.110839Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.11523","doi":"10.48550/arxiv.2310.11523","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Group preference optimization: Few-shot alignment of large language models","venue":"arXiv (Cornell University)","work_id":"14e9939b-f9cf-4b68-baaf-fb9515e02edb","year":2023},"citing_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},"reference_index":132,"source":"arxiv_source","source_observed_at":"2026-05-16T14:37:53.279275Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2402.05070"},"observation_digest":"sha256:a49fc6b2584d39966e6e32e29847e4662ad42834164c7ba03a40c1e7c858fbb9","observation_id":"4e9f0256-508d-485b-a5d4-bc53983a8ad9","resolution":{"observed_at":"2026-05-16T14:37:53.420006Z","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":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.11523","doi":"10.48550/arxiv.2310.11523","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Group preference optimization: Few-shot alignment of large language models","venue":"arXiv (Cornell University)","work_id":"14e9939b-f9cf-4b68-baaf-fb9515e02edb","year":2023},"citing_paper":{"arxiv_id":"2510.17881","last_updated":"2026-04-24T20:38:37Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-17T23:07:57Z","title":"POPI: Personalizing LLMs via Optimized Natural Language Preference Inference","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-18T05:41:58.231139Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2510.17881"},"observation_digest":"sha256:4e3869d843072129493a83087c19b7492208945178928b1f3fefc1718db3bf15","observation_id":"5587ce27-fca4-47b7-93b5-ccf918efeccf","resolution":{"observed_at":"2026-05-18T05:42:24.378418Z","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":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.11523","doi":"10.48550/arxiv.2310.11523","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Group preference optimization: Few-shot alignment of large language models","venue":"arXiv (Cornell University)","work_id":"14e9939b-f9cf-4b68-baaf-fb9515e02edb","year":2023},"citing_paper":{"arxiv_id":"2510.26202","last_updated":"2026-04-11T19:11:10Z","snapshot_observed_at":"2026-08-02T22:09:19.926229Z","submitted_at":"2025-10-30T07:25:10Z","title":"What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T03:39:53.110062Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2510.26202"},"observation_digest":"sha256:8861dd55782ff19f41a6eb41d58485abc3226fb66fdff592a53da1c0c774239f","observation_id":"f9660416-4055-46af-bcb8-2b04af2f83eb","resolution":{"observed_at":"2026-05-18T03:40:50.436067Z","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":{"arxiv_id":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-07-13T10:27:28.560210Z","title":"Group preference optimization: Few-shot alignment of large language models.arXiv preprint arXiv:2310.11523,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.04258","last_updated":"2026-04-05T20:30:44Z","snapshot_observed_at":"2026-07-13T10:27:28.305671Z","submitted_at":"2026-04-05T20:30:44Z","title":"Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-13T10:27:28.560210Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2604.04258"},"observation_digest":"sha256:855d9a11365775788e1cefb20fd7653eb5e2d071d365b4077e081849ed4a2675","observation_id":"a846ecc6-d550-43aa-960f-54d6fdbb94f3","resolution":{"observed_at":"2026-07-13T10:27:28.560210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.11523","doi":"10.48550/arxiv.2310.11523","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Group preference optimization: Few-shot alignment of large language models","venue":"arXiv (Cornell University)","work_id":"14e9939b-f9cf-4b68-baaf-fb9515e02edb","year":2023},"citing_paper":{"arxiv_id":"2604.07343","last_updated":"2026-07-30T00:53:05Z","snapshot_observed_at":"2026-08-02T23:16:51.675019Z","submitted_at":"2026-04-08T17:55:00Z","title":"Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T17:28:17.333001Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2604.07343"},"observation_digest":"sha256:0a242c985755f60f000e390cb66e9ab8918691497e85f462cd1d582e0229603e","observation_id":"6acfcdc6-a9c5-40b6-ae19-dc20ab01e67a","resolution":{"observed_at":"2026-05-11T06:46:17.736420Z","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":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-02T16:39:51.110839Z","title":"Under review","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.07343","last_updated":"2026-07-30T00:53:05Z","snapshot_observed_at":"2026-08-02T23:16:51.675019Z","submitted_at":"2026-04-08T17:55:00Z","title":"Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization","version":2},"reference_index":1905,"source":"pdf_text","source_observed_at":"2026-08-02T16:39:51.110839Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2604.07343"},"observation_digest":"sha256:43fd96e8c27ebb728c242ea04360b5e7a992689c6027fb080a1810c2b00a7c6b","observation_id":"d135c689-0cd4-4346-b753-6917f544f758","resolution":{"observed_at":"2026-08-02T16:39:51.110839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.11523","doi":"10.48550/arxiv.2310.11523","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Group preference optimization: Few-shot alignment of large language models","venue":"arXiv (Cornell University)","work_id":"14e9939b-f9cf-4b68-baaf-fb9515e02edb","year":2023},"citing_paper":{"arxiv_id":"2604.09876","last_updated":"2026-04-10T20:05:51Z","snapshot_observed_at":"2026-07-06T22:58:38.807460Z","submitted_at":"2026-04-10T20:05:51Z","title":"Efficient Personalization of Generative User Interfaces","version":1},"reference_index":109,"source":"pdf_text","source_observed_at":"2026-05-10T16:52:34.799158Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2604.09876"},"observation_digest":"sha256:ed392dc478d6881de3979197d974ddff0f659f68e926cb7b3a67947566e06d63","observation_id":"fa460126-2a43-4739-85bd-07c483956a13","resolution":{"observed_at":"2026-05-11T08:00:57.602642Z","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":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.11523","doi":"10.48550/arxiv.2310.11523","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Group preference optimization: Few-shot alignment of large language models","venue":"arXiv (Cornell University)","work_id":"14e9939b-f9cf-4b68-baaf-fb9515e02edb","year":2023},"citing_paper":{"arxiv_id":"2604.25895","last_updated":"2026-04-28T17:39:14Z","snapshot_observed_at":"2026-07-06T23:11:39.318906Z","submitted_at":"2026-04-28T17:39:14Z","title":"Three Models of RLHF Annotation: Extension, Evidence, and Authority","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-07T14:28:31.451466Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2604.25895"},"observation_digest":"sha256:22fec2a448783c8343fc9e10c36229f12b40401e8c5738e92074f2df0f3c0ada","observation_id":"80f78f64-f29d-4440-a803-0c5a3431eef4","resolution":{"observed_at":"2026-05-12T00:46:12.356158Z","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":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.11523","doi":"10.48550/arxiv.2310.11523","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Group preference optimization: Few-shot alignment of large language models","venue":"arXiv (Cornell University)","work_id":"14e9939b-f9cf-4b68-baaf-fb9515e02edb","year":2023},"citing_paper":{"arxiv_id":"2606.07988","last_updated":"2026-06-06T05:35:31Z","snapshot_observed_at":"2026-07-06T23:47:33.680573Z","submitted_at":"2026-06-06T05:35:31Z","title":"PAFO: Pareto Fairness Optimization for Personalized Reward Modeling","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T20:00:05.900814Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2606.07988"},"observation_digest":"sha256:4df7a5625b4f76f6dd8e26877c64e98113f78e295f7cbc92563d5600597d3f9e","observation_id":"79071978-666a-4e2d-b38f-f3085cb49873","resolution":{"observed_at":"2026-07-02T20:57:23.627346Z","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":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2310.11523","doi":"10.48550/arxiv.2310.11523","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Group preference optimization: Few-shot alignment of large language models","venue":"arXiv (Cornell University)","work_id":"14e9939b-f9cf-4b68-baaf-fb9515e02edb","year":2023},"citing_paper":{"arxiv_id":"2606.11583","last_updated":"2026-06-10T02:15:56Z","snapshot_observed_at":"2026-07-06T23:50:39.386691Z","submitted_at":"2026-06-10T02:15:56Z","title":"Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-06-27T10:33:02.954683Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2606.11583"},"observation_digest":"sha256:201481227dc2a843a1b51c0d36b7425678af07955885bf5a969c731e90e52afd","observation_id":"96a6d5b6-b5ec-4741-a3ff-ac1fd174b222","resolution":{"observed_at":"2026-07-03T09:07:47.639938Z","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":"2310.11523","last_updated":"2024-10-14T20:02:11Z","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11523","snapshot_observed_at":"2026-07-13T14:35:55.709732Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.00001","last_updated":"2026-04-01T17:12:42Z","snapshot_observed_at":"2026-07-13T14:35:55.309214Z","submitted_at":"2026-04-01T17:12:42Z","title":"Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction","version":1},"reference_index":146,"source":"pdf_text","source_observed_at":"2026-07-13T14:35:55.709732Z"},"links":{"cited_paper":"/paper/2310.11523","citing_paper":"/paper/2607.00001"},"observation_digest":"sha256:3b83bcaee1593c79a24f193ce45ba02115494fb3c78623bf0ec66a6759422c21","observation_id":"67f7c8f4-8f90-4505-a1c2-488501e43fa9","resolution":{"observed_at":"2026-07-13T14:35:55.709732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.11523/citation-record","integrity":"/paper/2310.11523/integrity","json":"/paper/2310.11523/citation-record.json","paper":"/paper/2310.11523"},"outbound":[],"paper":{"arxiv_id":"2310.11523","last_updated":"2024-10-14T20:02:11Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:34:42.650324Z","submitted_at":"2023-10-17T18:41:57Z","title":"Group Preference Optimization: Few-Shot Alignment of Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.11523."}