{"as_of":"2026-08-10T20:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a5abf4cb2d63f5576c6527d61660d0e5b8272bfc051701daba29b6f1de328419","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:03:22.166335Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"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/2506.08935/citation-record","integrity":"/paper/2506.08935/integrity","json":"/paper/2506.08935/citation-record.json","paper":"/paper/2506.08935"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.19361","last_updated":"2025-03-30T14:48:59Z","snapshot_observed_at":"2026-08-07T17:45:25.804804Z","submitted_at":"2025-02-26T17:59:27Z","title":"Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19361","snapshot_observed_at":"2026-08-07T05:03:21.393043Z","title":"Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Xiaodong Song, and Jacob Steinhardt","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.393043Z"},"links":{"cited_paper":"/paper/2502.19361","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:ba0746b75cbc23ba37e67794deebb7969a0f05c4edc37b0cc8018a171d0d3f03","observation_id":"3cbc36e8-0509-45b7-a539-35431a402049","resolution":{"observed_at":"2026-08-07T05:03:21.393043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-07T07:43:16.294957Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-07T05:03:21.566380Z","title":"ArXiv, abs/2106.09685","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.566380Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:cb15563ec9d8296843d0c30443a04915fbae32c6bb46547b8be4e9e97cf0fe94","observation_id":"544a754f-e876-4d6b-994c-6ceef92d32e3","resolution":{"observed_at":"2026-08-07T05:03:21.566380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19393","last_updated":"2025-03-01T06:07:39Z","snapshot_observed_at":"2026-07-06T20:29:11.710285Z","submitted_at":"2025-01-31T18:48:08Z","title":"s1: Simple test-time scaling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19393","snapshot_observed_at":"2026-08-07T05:03:21.780247Z","title":"ArXiv, abs/2501.19393","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.780247Z"},"links":{"cited_paper":"/paper/2501.19393","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:241bd71c160039abd01b23005bde210c7b624f0ff8a7f3ecd7db5cb3f67828fa","observation_id":"04986e11-49e8-4dd6-8ace-19c6b744973f","resolution":{"observed_at":"2026-08-07T05:03:21.780247Z","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":"2026-08-07T05:03:22.714748Z","title":"https://github.com/Jiayi-Pan/TinyZero","venue":null,"work_id":"03449797-bf5d-47a1-b78f-d7cc127224a8","year":2025},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.813208Z"},"links":{"citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:b86c257ee8546326fdb523165c2109e3c90d61dbbe5f4bfba2f5cc8b6ebe223b","observation_id":"d2866b02-8b67-4a79-a955-e77869c69d5c","resolution":{"observed_at":"2026-08-07T05:03:22.834765Z","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":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-07T05:03:21.885652Z","title":"ArXiv, abs/2402.03300","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.885652Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:4e9a62f748ff4ce7de99c20dacfcdb19fecd6ce3e2ce01ab0aa00fad3d5d401f","observation_id":"53c2a64f-45d1-4f5a-922b-6db29596c5a8","resolution":{"observed_at":"2026-08-07T05:03:21.885652Z","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":"2026-08-07T05:03:22.522127Z","title":"https://novasky- ai.github.io/posts/sky-t1","venue":null,"work_id":"e9f90386-497f-45eb-9466-0c1fa1335720","year":2025},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.978742Z"},"links":{"citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:19691d0a1f7454ca59d74c793b187ae182b0fda3f1aa1762d30e4ded9098c2e3","observation_id":"75a29c77-a704-4f57-a59c-4acba6a27bd1","resolution":{"observed_at":"2026-08-07T05:03:22.629238Z","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":"2201.11903","last_updated":"2023-01-10T23:07:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-01-28T02:33:07Z","title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11903","snapshot_observed_at":"2026-08-07T05:03:22.072238Z","title":"ArXiv, abs/2201.11903","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:22.072238Z"},"links":{"cited_paper":"/paper/2201.11903","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:4a8800df277aebf4276200fc38ed3c270815bd9e64ac686c1a5bfdd5cd2bf0ad","observation_id":"d9a622f5-a6be-4aaf-8554-b7ede7922f75","resolution":{"observed_at":"2026-08-07T05:03:22.072238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12122","last_updated":"2024-09-18T16:45:37Z","snapshot_observed_at":"2026-07-06T19:17:41.512834Z","submitted_at":"2024-09-18T16:45:37Z","title":"Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12122","snapshot_observed_at":"2026-08-07T05:03:22.166335Z","title":"ArXiv, abs/2409.12122","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:22.166335Z"},"links":{"cited_paper":"/paper/2409.12122","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:743b503297dbe8d64e59c6997bf8db93d857716df8a1dcc493dff356e6a1e19a","observation_id":"3f308fce-c9de-428b-9bb8-328833fb15f1","resolution":{"observed_at":"2026-08-07T05:03:22.166335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03300","last_updated":"2021-01-12T18:57:11Z","snapshot_observed_at":"2026-08-10T12:35:09.020030Z","submitted_at":"2020-09-07T17:59:25Z","title":"Measuring Massive Multitask Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.03300","snapshot_observed_at":"2026-08-07T05:03:21.491475Z","title":"ArXiv, abs/2009.03300","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.491475Z"},"links":{"cited_paper":"/paper/2009.03300","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:30bd78fdc3a27d6bbeb100542fee1e34964851a2c096e2b0a30d1c029cf36df7","observation_id":"a06b9743-567f-473e-a005-628e5a6b21be","resolution":{"observed_at":"2026-08-07T05:03:21.491475Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-07T05:03:21.225062Z","title":"ArXiv, abs/2110.14168","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.225062Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:eed6153e67abf9aeae427ff8df8aa310ae3a2d7af3c1e0fbf775b11258eb9b63","observation_id":"d8486f86-9c96-4722-b765-98df0273a797","resolution":{"observed_at":"2026-08-07T05:03:21.225062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14858","last_updated":"2022-07-01T02:15:12Z","snapshot_observed_at":"2026-08-05T15:41:22.691461Z","submitted_at":"2022-06-29T18:54:49Z","title":"Solving Quantitative Reasoning Problems with Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.14858","snapshot_observed_at":"2026-08-07T05:03:21.738356Z","title":"ArXiv, abs/2206.14858","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.738356Z"},"links":{"cited_paper":"/paper/2206.14858","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:ddbb2fb50f92f0691a768b2ec1c332685aa66af3a2e445325f723d31dc5805bb","observation_id":"50b2e901-02a1-4f37-904a-fa46d9a881be","resolution":{"observed_at":"2026-08-07T05:03:21.738356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08691","last_updated":"2023-07-17T17:50:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-17T17:50:36Z","title":"FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.08691","snapshot_observed_at":"2026-08-07T05:03:21.279182Z","title":"ArXiv, abs/2307.08691","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.279182Z"},"links":{"cited_paper":"/paper/2307.08691","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:ba66d6a2ce09c28c69ad55e5a3d137fc0bdfbf39dc129c6e655e9d9ed5e3bc14","observation_id":"79ab7925-0d95-4377-8d10-0c77e92cd292","resolution":{"observed_at":"2026-08-07T05:03:21.279182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15124","last_updated":"2025-04-14T22:39:09Z","snapshot_observed_at":"2026-08-10T16:05:13.426341Z","submitted_at":"2024-11-22T18:44:04Z","title":"Tulu 3: Pushing Frontiers in Open Language Model Post-Training","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15124","snapshot_observed_at":"2026-08-07T05:03:21.654953Z","title":"ArXiv, abs/2411.15124","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.654953Z"},"links":{"cited_paper":"/paper/2411.15124","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:78124af951f0cda924c6a550625cae7361b756a086dce67a794657f2447ab60d","observation_id":"1fa0c303-c60d-4cd1-9227-57027454b319","resolution":{"observed_at":"2026-08-07T05:03:21.654953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-07T05:03:21.349189Z","title":"ArXiv, abs/2501.12948","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:21.349189Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2506.08935"},"observation_digest":"sha256:56b2f1e2fd0be368b4bf84f383c409fe23038ab842da6fde6244b01cb1a96755","observation_id":"d67c9a9d-fc43-45a7-a8bc-3fa3bd0ceb49","resolution":{"observed_at":"2026-08-07T05:03:21.349189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.08935","last_updated":"2025-06-10T16:00:12Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T18:07:23.126809Z","submitted_at":"2025-06-10T16:00:12Z","title":"Can A Gamer Train A Mathematical Reasoning Model?"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":14},"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 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.08935."}