{"as_of":"2026-08-10T13:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e4661149f7ae30c932f7afd21037cd3318ff0c23a9f340d5c35b96ab80506bb4","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T22:50:33.173039Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T22:56:19.424988Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.00030","last_updated":"2025-07-07T20:24:43Z","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00030","snapshot_observed_at":"2026-08-07T22:50:33.173039Z","title":"Game-theoretic regularized self-play alignment of large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.09053","last_updated":"2025-08-05T02:23:31Z","snapshot_observed_at":"2026-08-08T10:12:47.586452Z","submitted_at":"2025-02-13T08:08:27Z","title":"Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers","version":2},"reference_index":139,"source":"pdf_text","source_observed_at":"2026-08-07T22:50:33.173039Z"},"links":{"cited_paper":"/paper/2503.00030","citing_paper":"/paper/2502.09053"},"observation_digest":"sha256:5bdebda5e60cc96a5ad7dcd602daaf33ce497890b26d25c7ac9f72e361e009a6","observation_id":"0fd650d0-0d55-4c60-b957-fb2e363d7bf7","resolution":{"observed_at":"2026-08-07T22:50:33.173039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00030","last_updated":"2025-07-07T20:24:43Z","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00030","snapshot_observed_at":"2026-08-07T05:41:58.169779Z","title":"Game-theoretic regularized self-play alignment of large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07468","last_updated":"2026-07-06T07:31:35Z","snapshot_observed_at":"2026-08-07T05:30:38.669027Z","submitted_at":"2025-06-09T06:35:12Z","title":"Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models","version":4},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T05:41:58.169779Z"},"links":{"cited_paper":"/paper/2503.00030","citing_paper":"/paper/2506.07468"},"observation_digest":"sha256:32ea46e2a3452a71fd98c7d326f081170f91d4013cde32399f4dcc5c1991ac12","observation_id":"599bad6f-02f6-4358-84ad-e21cd6c4f3af","resolution":{"observed_at":"2026-08-07T05:41:58.169779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00030","last_updated":"2025-07-07T20:24:43Z","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00030","snapshot_observed_at":"2026-08-03T11:39:36.921385Z","title":"Qwen Team","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05633","last_updated":"2026-06-03T09:15:38Z","snapshot_observed_at":"2026-08-08T15:54:27.249135Z","submitted_at":"2026-01-09T08:42:44Z","title":"GIFT: Games as Informal Training for Generalizable LLMs","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T11:39:36.921385Z"},"links":{"cited_paper":"/paper/2503.00030","citing_paper":"/paper/2601.05633"},"observation_digest":"sha256:012e9d64df7beb4d2b1b090621d9cbf7ad3558e876a7fbe5f4060e06023d54c8","observation_id":"b73ceb35-25ee-49ab-aab5-cfa2f48dba16","resolution":{"observed_at":"2026-08-03T11:39:36.921385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00030","last_updated":"2025-07-07T20:24:43Z","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2503.00030","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.00030","snapshot_observed_at":"2026-07-01T22:56:19.424988Z","title":"RSPO: Regularized self-play alignment of large language models","venue":null,"work_id":"fcbe8c39-e14c-4b49-a2a5-5137e64637aa","year":2025},"citing_paper":{"arxiv_id":"2604.20933","last_updated":"2026-04-22T11:52:21Z","snapshot_observed_at":"2026-07-30T07:55:19.034385Z","submitted_at":"2026-04-22T11:52:21Z","title":"IRIS: Interpolative R\\'enyi Iterative Self-play for Large Language Model Fine-Tuning","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-10T01:15:12.985803Z"},"links":{"cited_paper":"/paper/2503.00030","citing_paper":"/paper/2604.20933"},"observation_digest":"sha256:c1db49839531629b953026b7152798018fe05fee52cef814b6a34b7139543e70","observation_id":"001f6bc8-e72c-42fb-9fd6-530167ee9e98","resolution":{"observed_at":"2026-05-11T13:41:05.081278Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2503.00030","last_updated":"2025-07-07T20:24:43Z","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2503.00030","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.00030","snapshot_observed_at":"2026-07-01T22:56:19.424988Z","title":"RSPO: Regularized self-play alignment of large language models","venue":null,"work_id":"fcbe8c39-e14c-4b49-a2a5-5137e64637aa","year":2025},"citing_paper":{"arxiv_id":"2605.29398","last_updated":"2026-05-28T05:47:40Z","snapshot_observed_at":"2026-07-06T23:38:51.349968Z","submitted_at":"2026-05-28T05:47:40Z","title":"GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-29T08:44:53.969301Z"},"links":{"cited_paper":"/paper/2503.00030","citing_paper":"/paper/2605.29398"},"observation_digest":"sha256:7422df46ed116ef449032efc890c30d8a0dde32cac09609646389615bbf4fd36","observation_id":"0103bc62-d9e5-4899-a9ed-243b87006504","resolution":{"observed_at":"2026-06-29T08:53:16.350651Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2503.00030","last_updated":"2025-07-07T20:24:43Z","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":"2503.00030","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.00030","snapshot_observed_at":"2026-07-01T22:56:19.424988Z","title":"RSPO: Regularized self-play alignment of large language models","venue":null,"work_id":"fcbe8c39-e14c-4b49-a2a5-5137e64637aa","year":2025},"citing_paper":{"arxiv_id":"2606.01561","last_updated":"2026-06-01T02:06:58Z","snapshot_observed_at":"2026-08-01T20:22:50.507895Z","submitted_at":"2026-06-01T02:06:58Z","title":"S-SPPO: Semantic-Calibrated Self-Play Preference Optimization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-28T14:58:33.167891Z"},"links":{"cited_paper":"/paper/2503.00030","citing_paper":"/paper/2606.01561"},"observation_digest":"sha256:911d34064e6986e52efefe10d8e97e0aace7dd368ba4a764ac9472a9afd3c613","observation_id":"fa118cab-4cca-4464-81e4-b8dfa3137d16","resolution":{"observed_at":"2026-07-01T22:56:19.427569Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2503.00030","last_updated":"2025-07-07T20:24:43Z","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00030","snapshot_observed_at":"2026-08-02T05:36:15.423449Z","title":"Game-theoretic regularized self-play alignment of large language models.arXiv preprint arXiv:2503.00030, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.13315","last_updated":"2026-07-21T18:05:20Z","snapshot_observed_at":"2026-08-08T07:01:57.029626Z","submitted_at":"2026-07-14T22:38:39Z","title":"Meta-Learning Preferences for Multilingual LLM Alignment","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T05:36:15.423449Z"},"links":{"cited_paper":"/paper/2503.00030","citing_paper":"/paper/2607.13315"},"observation_digest":"sha256:4f44bf615b4554a917575f521b9e001fba4a8ace0c9ceb1b696a5f293f622d92","observation_id":"c6df849d-a624-4467-ab32-2e4767dd5460","resolution":{"observed_at":"2026-08-02T05:36:15.423449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00030","last_updated":"2025-07-07T20:24:43Z","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play Alignment of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00030","snapshot_observed_at":"2026-08-02T10:01:58.832884Z","title":"Game-theoretic regularized self-play alignment of large language models.arXiv preprint arXiv:2503.00030,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16240","last_updated":"2026-06-26T03:03:15Z","snapshot_observed_at":"2026-08-08T01:20:34.619049Z","submitted_at":"2026-06-26T03:03:15Z","title":"Normalized Rewards for Preference Optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T10:01:58.832884Z"},"links":{"cited_paper":"/paper/2503.00030","citing_paper":"/paper/2607.16240"},"observation_digest":"sha256:21b46d1da87b797756107077ca5ba8ed0df2b69a9f209651e0e59ae8250d0434","observation_id":"5c182e3e-92af-4e40-8414-c67a61633483","resolution":{"observed_at":"2026-08-02T10:01:58.832884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.00030/citation-record","integrity":"/paper/2503.00030/integrity","json":"/paper/2503.00030/citation-record.json","paper":"/paper/2503.00030"},"outbound":[],"paper":{"arxiv_id":"2503.00030","last_updated":"2025-07-07T20:24:43Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T17:51:45.827728Z","submitted_at":"2025-02-24T22:43:21Z","title":"RSPO: Regularized Self-Play 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":"2026-08-10T06:31:04.303077+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 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.00030."}