{"as_of":"2026-08-04T19:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7d819bedbdfe7f08eaa70aabffb5b22162136f95b8f3fe41a4aacd95c93573b","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-19T01:18:31.661827Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T18:31:26.595861Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-03T20:38:55.869323Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":"2508.01191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-03T20:38:55.869323Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","venue":"cs.AI","work_id":"bf06c50c-2953-4ea9-94ea-9ade3f216973","year":2025},"citing_paper":{"arxiv_id":"2603.09002","last_updated":"2026-04-26T14:13:48Z","snapshot_observed_at":"2026-07-06T22:48:26.306802Z","submitted_at":"2026-03-09T22:46:27Z","title":"Security Considerations for Multi-agent Systems","version":2},"reference_index":141,"source":"pdf_text","source_observed_at":"2026-05-15T14:12:14.160789Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2603.09002"},"observation_digest":"sha256:8d31b377bb8a7ab0c98338d4a10cdadef9c7fd9bb6c0235310b22be7da94d744","observation_id":"edd6aaf5-2bbd-47ce-816e-1e9a88d356e1","resolution":{"observed_at":"2026-05-15T14:15:55.933228Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-08-02T18:31:26.595861Z","title":"none of the above","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.10396","last_updated":"2026-07-30T08:43:12Z","snapshot_observed_at":"2026-08-03T03:55:19.108342Z","submitted_at":"2026-03-11T04:21:04Z","title":"Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T18:31:26.595861Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2603.10396"},"observation_digest":"sha256:a20de2c19615f427ea808483b7853c98d55af3c083f8e6dcc425b5bd5006e57a","observation_id":"7597d30f-57ef-4cf8-8ead-553c72d238a7","resolution":{"observed_at":"2026-08-02T18:31:26.595861Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":"2508.01191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-03T20:38:55.869323Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","venue":"cs.AI","work_id":"bf06c50c-2953-4ea9-94ea-9ade3f216973","year":2025},"citing_paper":{"arxiv_id":"2604.08401","last_updated":"2026-04-09T16:01:03Z","snapshot_observed_at":"2026-07-06T22:57:31.046146Z","submitted_at":"2026-04-09T16:01:03Z","title":"Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-10T17:47:32.014915Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2604.08401"},"observation_digest":"sha256:b695356e812dd7b94858dbe0812531a5a39040e66c5c8b100536000da4cb1520","observation_id":"a5a26743-2d09-4eb9-b128-c984312c60ad","resolution":{"observed_at":"2026-05-11T06:10:57.794354Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":"2508.01191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-03T20:38:55.869323Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","venue":"cs.AI","work_id":"bf06c50c-2953-4ea9-94ea-9ade3f216973","year":2025},"citing_paper":{"arxiv_id":"2604.14197","last_updated":"2026-04-03T03:06:03Z","snapshot_observed_at":"2026-08-02T18:40:43.237860Z","submitted_at":"2026-04-03T03:06:03Z","title":"The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-13T20:00:19.061076Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2604.14197"},"observation_digest":"sha256:0bcb6dc229ecf7baff821cfd346e6680209e0c1f7b2a463cea72f45a0e5294aa","observation_id":"38408f3f-2b95-40c4-b70f-16bbad891532","resolution":{"observed_at":"2026-05-13T20:03:12.508075Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":"2508.01191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-03T20:38:55.869323Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","venue":"cs.AI","work_id":"bf06c50c-2953-4ea9-94ea-9ade3f216973","year":2025},"citing_paper":{"arxiv_id":"2605.09678","last_updated":"2026-05-10T17:55:38Z","snapshot_observed_at":"2026-07-06T23:21:44.900680Z","submitted_at":"2026-05-10T17:55:38Z","title":"Absurd World: A Simple Yet Powerful Method to Absurdify the Real-world for Probing LLM Reasoning Capabilities","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-12T02:02:06.788056Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2605.09678"},"observation_digest":"sha256:2e08ff7ad3b94b16ab7b41fb38fa86e56e0736d70553c60a3cb6321666c70e4a","observation_id":"0437c361-b3c1-4e81-9f67-b1a66ef4cfbe","resolution":{"observed_at":"2026-05-12T07:46:26.007145Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":"2508.01191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-03T20:38:55.869323Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","venue":"cs.AI","work_id":"bf06c50c-2953-4ea9-94ea-9ade3f216973","year":2025},"citing_paper":{"arxiv_id":"2605.19944","last_updated":"2026-05-19T15:00:51Z","snapshot_observed_at":"2026-08-04T00:23:36.348214Z","submitted_at":"2026-05-19T15:00:51Z","title":"A Measure-Theoretic Analysis of Reasoning: Structural Generalization and Approximation Limits","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-20T07:59:49.569151Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2605.19944"},"observation_digest":"sha256:88881c8a9066cb87a951867fd3cb2f782a88e360013296a10c72658a8c6f99e3","observation_id":"f7e1372e-1bad-420b-8e72-8e06886d8cd3","resolution":{"observed_at":"2026-05-20T08:03:08.935070Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":"2508.01191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-03T20:38:55.869323Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","venue":"cs.AI","work_id":"bf06c50c-2953-4ea9-94ea-9ade3f216973","year":2025},"citing_paper":{"arxiv_id":"2605.25603","last_updated":"2026-05-25T08:54:55Z","snapshot_observed_at":"2026-08-03T17:47:49.546009Z","submitted_at":"2026-05-25T08:54:55Z","title":"Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-06-29T21:47:17.894881Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2605.25603"},"observation_digest":"sha256:13061da8baa386232440cb66fcab3ebe844a9642c5133ebffc68f46de6dc5ed6","observation_id":"878a2486-fbd4-4203-bc27-6a8c21fcedcb","resolution":{"observed_at":"2026-06-29T21:53:59.544150Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":"2508.01191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-03T20:38:55.869323Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","venue":"cs.AI","work_id":"bf06c50c-2953-4ea9-94ea-9ade3f216973","year":2025},"citing_paper":{"arxiv_id":"2605.27204","last_updated":"2026-05-26T15:58:49Z","snapshot_observed_at":"2026-08-02T23:20:18.253202Z","submitted_at":"2026-05-26T15:58:49Z","title":"GraphReview: Scientific Paper Evaluation via LLM-Based Graph Message Passing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T18:27:16.024909Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2605.27204"},"observation_digest":"sha256:281cadfce6ab81bb53ad3db3fd2eca9fddc4504a6136fbba737f2995fbed3419","observation_id":"d9c0dad1-6b85-41e0-ad0f-618a50a40dc4","resolution":{"observed_at":"2026-06-29T18:33:50.775393Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":"2508.01191","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-03T20:38:55.869323Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","venue":"cs.AI","work_id":"bf06c50c-2953-4ea9-94ea-9ade3f216973","year":2025},"citing_paper":{"arxiv_id":"2606.18089","last_updated":"2026-07-05T17:40:26Z","snapshot_observed_at":"2026-07-12T13:34:39.011240Z","submitted_at":"2026-06-16T15:55:28Z","title":"From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning","version":1},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-06-27T01:13:11.483599Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2606.18089"},"observation_digest":"sha256:c56321b332edb1ad3bf9f13f9dcea698f8bed208f21eae87a1479a9491cea957","observation_id":"e17f172f-a840-4493-8c2b-4129cf87668f","resolution":{"observed_at":"2026-07-03T20:38:55.870669Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.01191","snapshot_observed_at":"2026-07-14T04:23:09.259421Z","title":"arXiv:2508.01191 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.11615","last_updated":"2026-07-13T14:37:35Z","snapshot_observed_at":"2026-07-16T23:19:55.487594Z","submitted_at":"2026-07-13T14:37:35Z","title":"ThinkLog: Leveraging Reasoning for Log Statement Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-14T04:23:09.259421Z"},"links":{"cited_paper":"/paper/2508.01191","citing_paper":"/paper/2607.11615"},"observation_digest":"sha256:85e693787142b10357771586da029ad4fdde61b4f4c0fbc9635311d2cfd5729f","observation_id":"361d8f62-529d-4c3c-9548-0457c7131275","resolution":{"observed_at":"2026-07-14T04:23:09.259421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.01191/citation-record","integrity":"/paper/2508.01191/integrity","json":"/paper/2508.01191/citation-record.json","paper":"/paper/2508.01191"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"URLhttps://openreview","venue":null,"work_id":"b47278ae-c44a-487f-976b-88c09e610d14","year":1973},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:6910be34f27ee2c70bd6b0b7d72c36d046dab461eb87a7f7b5834bc0852360eb","observation_id":"c8f5cc4d-ef68-4cda-9532-67f5a18ef3a7","resolution":{"observed_at":"2026-05-19T01:21:58.964711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09567","last_updated":"2025-07-18T15:57:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-12T17:35:03Z","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","version":5},"cited_work":{"arxiv_id":"2503.09567","doi":"10.48550/arxiv.2503.09567","metadata_source":"pith","pith_arxiv_id":"2503.09567","snapshot_observed_at":"2026-07-10T18:57:31.639044Z","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","venue":"cs.AI","work_id":"0b361fed-cf2a-4b90-b61a-de88de4b8840","year":2025},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2503.09567","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:fb590c8893557dddd1375cda3fb6fac3686027bcef24a91cc178783a24b992d5","observation_id":"1be6c5a9-a655-4c84-99dd-6e97833ac2a6","resolution":{"observed_at":"2026-05-19T01:21:58.129282Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:19.477611+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:19.477611+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2501.12948","doi":"10.1016/j.artmed.2024.103001","metadata_source":"pith","pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","venue":"cs.CL","work_id":"e6b75ad5-2877-4168-97c8-710407094d20","year":2025},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:4d30ffdd178317f78e3862badf44c54dd7c92b62e3c3364f3a0aae187a9a2f4b","observation_id":"7428bb85-56dc-4f18-9b9a-de21a6d03157","resolution":{"observed_at":"2026-05-19T01:21:58.124595Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16720","last_updated":"2026-04-30T02:46:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-21T18:04:31Z","title":"OpenAI o1 System Card","version":2},"cited_work":{"arxiv_id":"2412.16720","doi":"10.48550/arxiv.2412.16720","metadata_source":"pith","pith_arxiv_id":"2412.16720","snapshot_observed_at":"2026-07-11T03:17:51.754565Z","title":"OpenAI o1 System Card","venue":"cs.AI","work_id":"68d3c334-0fc9-49e3-b7b0-a69afae933e2","year":2024},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2412.16720","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:3f0db505b33ea9566f757dbb5ed03ba3662748c1143c576cc818bdd737abec34","observation_id":"8ef82353-bb05-4bcc-b324-1b717f3a0643","resolution":{"observed_at":"2026-05-19T01:21:58.119945Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.13702","last_updated":"2023-07-17T01:08:39Z","snapshot_observed_at":"2026-07-31T04:21:27.501709Z","submitted_at":"2023-07-17T01:08:39Z","title":"Measuring Faithfulness in Chain-of-Thought Reasoning","version":1},"cited_work":{"arxiv_id":"2307.13702","doi":"10.48550/arxiv.2307.13702","metadata_source":"pith","pith_arxiv_id":"2307.13702","snapshot_observed_at":"2026-07-11T00:37:43.053081Z","title":"Measuring Faithfulness in Chain-of-Thought Reasoning","venue":"cs.AI","work_id":"86ca07b8-4628-4f51-8938-a82683386ae4","year":2023},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2307.13702","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:c639c2b51ace2efd7f203852c0479c844af175e19886fb8309b52e44e95d6b2f","observation_id":"b9d98a70-2587-4a2e-beee-1d2fd6814b44","resolution":{"observed_at":"2026-05-19T01:21:58.115138Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02765","last_updated":"2025-01-06T05:15:59Z","snapshot_observed_at":"2026-07-06T20:16:53.338035Z","submitted_at":"2025-01-06T05:15:59Z","title":"Visual Large Language Models for Generalized and Specialized Applications","version":1},"cited_work":{"arxiv_id":"2501.02765","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.02765","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Visual Large Language Models for Generalized and Specialized Applications","venue":null,"work_id":"fb42c3c0-b890-4fb0-aa82-802aa04ecd2c","year":2025},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2501.02765","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:7ac7a0a63cb5d1b33f00665941d4a623a7c3ee521058f6de9f44a8d08b76ec44","observation_id":"8e0db215-d347-40c5-9b13-e62da461b9e4","resolution":{"observed_at":"2026-05-19T01:21:58.110331Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05229","last_updated":"2025-08-27T16:24:39Z","snapshot_observed_at":"2026-07-06T19:29:09.714725Z","submitted_at":"2024-10-07T17:36:37Z","title":"GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models","version":2},"cited_work":{"arxiv_id":"2410.05229","doi":"10.48550/arxiv.2410.05229","metadata_source":"pith","pith_arxiv_id":"2410.05229","snapshot_observed_at":"2026-07-10T09:37:00.714830Z","title":"GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models","venue":"cs.LG","work_id":"7d26909d-cb69-48f7-b93e-7d6fcc281415","year":2024},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2410.05229","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:8af1b0a89caee716ba1b6f89bc182e3f76aa5188d4ed7ad74b2f1abf7a7891cd","observation_id":"928fd142-71d3-47de-b429-95f89896aa5d","resolution":{"observed_at":"2026-05-19T01:21:58.092683Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-18T18:51:19.596854+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-18T18:51:19.596854+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.21074","last_updated":"2025-09-23T08:16:08Z","snapshot_observed_at":"2026-08-02T19:02:30.418876Z","submitted_at":"2025-02-28T14:07:48Z","title":"CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation","version":3},"cited_work":{"arxiv_id":"2502.21074","doi":"10.48550/arxiv.2502.21074","metadata_source":"pith","pith_arxiv_id":"2502.21074","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation","venue":"cs.CL","work_id":"c538c1a5-0662-4de7-ac6f-29061c2c9686","year":2025},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2502.21074","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:c86e7493af824fc912de888174b98ba4f31e86f144eda6b10297e7712edf12cd","observation_id":"85794161-2b36-46d1-b4a8-97f1c254cfc8","resolution":{"observed_at":"2026-05-19T01:21:58.085959Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06941","last_updated":"2025-11-20T00:19:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-07T22:42:29Z","title":"The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity","version":3},"cited_work":{"arxiv_id":"2506.06941","doi":"10.48550/arxiv.2506.06941","metadata_source":"pith","pith_arxiv_id":"2506.06941","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity","venue":"cs.AI","work_id":"21fb5a68-fe7e-44d1-86fd-0a0c02f1b21f","year":2025},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2506.06941","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:529665927cc686d3ad7717b833ef8f5ed35850ac9100aa5dc0ad3ee92b27e0fc","observation_id":"52c12dec-bc6f-4a7e-b731-6e3b836c0833","resolution":{"observed_at":"2026-05-19T01:21:58.075338Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13775","last_updated":"2026-05-25T19:08:50Z","snapshot_observed_at":"2026-07-06T21:26:40.118249Z","submitted_at":"2025-05-19T23:29:23Z","title":"Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens","version":4},"cited_work":{"arxiv_id":"2505.13775","doi":"10.48550/arxiv.2505.13775","metadata_source":"pith","pith_arxiv_id":"2505.13775","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"arXiv preprint arXiv:2505.13775 , year=","venue":"cs.LG","work_id":"9a382184-b20f-4b28-9ccc-5ad441f17312","year":2025},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2505.13775","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:9ccf6805a2b0ce5d83281d12b666406fc6501c06dc7137a404601892b821f3a0","observation_id":"7fbb4dc3-9cd5-46df-bacb-81d4930a89ca","resolution":{"observed_at":"2026-05-27T02:04:28.265039Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14825","last_updated":"2023-06-08T16:38:51Z","snapshot_observed_at":"2026-07-06T15:32:18.583350Z","submitted_at":"2023-05-24T07:33:34Z","title":"Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners","version":2},"cited_work":{"arxiv_id":"2305.14825","doi":"10.48550/arxiv.2305.14825","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.14825","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"arXiv preprint arXiv:2305.14825 , year=","venue":null,"work_id":"3f71a9fe-3a22-4b47-af25-6df486f9d4c4","year":2023},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2305.14825","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:e7fa292b307f2d5c2bf59d068253e3ae6c759d427aee0cb5bcede55deebaf03a","observation_id":"0f3e9d90-9b56-4273-8936-73e2d17fa88e","resolution":{"observed_at":"2026-05-19T01:21:58.063928Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12599","last_updated":"2025-06-03T02:14:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T02:48:14Z","title":"Kimi k1.5: Scaling Reinforcement Learning with LLMs","version":4},"cited_work":{"arxiv_id":"2501.12599","doi":"10.48550/arxiv.2501.12599","metadata_source":"pith","pith_arxiv_id":"2501.12599","snapshot_observed_at":"2026-07-10T22:47:36.964713Z","title":"Kimi k1.5: Scaling Reinforcement Learning with LLMs","venue":"cs.AI","work_id":"bff96ab1-bd6a-4585-be23-74fdb51969c7","year":2025},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2501.12599","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:dc8bb608f95cceeb15496bc2a6a6c7d4d30639465cee08043bdcd1c9412d65c2","observation_id":"3b5fe955-a88c-408b-91b0-14dc6f1ddaee","resolution":{"observed_at":"2026-05-19T01:21:58.048901Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-09T10:48:38.585868+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T10:48:38.585868+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05386","last_updated":"2025-08-09T19:31:11Z","snapshot_observed_at":"2026-07-06T21:37:28.044836Z","submitted_at":"2025-06-03T12:59:52Z","title":"Leaps Beyond the Seen: Reinforced Reasoning Augmented Generation for Clinical Notes","version":3},"cited_work":{"arxiv_id":"2506.05386","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05386","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"db243d9e-8261-4590-8eb1-22645b8d0cc6","year":null},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2506.05386","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:365f5082d8723f13866aa4cd40121221a8e838f0bcfe664c332c465caf91eba8","observation_id":"ce5a532b-7d6e-4dac-b3b7-b17874660322","resolution":{"observed_at":"2026-05-19T01:21:58.053599Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09695","last_updated":"2024-12-04T15:35:48Z","snapshot_observed_at":"2026-07-06T19:32:28.772012Z","submitted_at":"2024-10-13T02:10:26Z","title":"Can In-context Learning Really Generalize to Out-of-distribution Tasks?","version":3},"cited_work":{"arxiv_id":"2410.09695","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.09695","snapshot_observed_at":"2026-07-04T20:00:08.094306Z","title":"Canin-contextlearningreallygeneralizetoout-of-distribution tasks? arXiv preprint arXiv:2410.09695","venue":null,"work_id":"6edab345-f102-4467-b277-21f0f1c8a269","year":2024},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2410.09695","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:ec829e556ce03ce199d7a004dc5cb77dbe7969522d1d653dd9eb7365cf49d8fa","observation_id":"8a9e324d-693e-4a16-b338-011ea706baea","resolution":{"observed_at":"2026-05-19T01:21:58.039341Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.12991","last_updated":"2025-05-30T14:14:36Z","snapshot_observed_at":"2026-07-06T21:11:00.903522Z","submitted_at":"2025-04-17T14:59:29Z","title":"A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes","version":2},"cited_work":{"arxiv_id":"2504.12991","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.12991","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"810fe0b8-0073-4b29-802d-446ede28a742","year":null},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2504.12991","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:7282c6f48a85822410bb4719468820a09d534f52453b1e553b6a49929d37b841","observation_id":"a74e54a9-818c-4b5b-9933-eda9337352ea","resolution":{"observed_at":"2026-05-19T01:21:58.043537Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"25182225-e04d-48e2-b3ee-306cbf969077","year":2023},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:5df484953ff853842d8358ef673321546db455f657240a6ac0d78462b22f2b7a","observation_id":"400b02c0-ee97-4a00-815b-7bf5ea90a6d2","resolution":{"observed_at":"2026-05-19T01:21:58.961754Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.03373","last_updated":"2025-02-05T17:13:32Z","snapshot_observed_at":"2026-07-06T20:31:41.231839Z","submitted_at":"2025-02-05T17:13:32Z","title":"Demystifying Long Chain-of-Thought Reasoning in LLMs","version":1},"cited_work":{"arxiv_id":"2502.03373","doi":"10.48550/arxiv.2502.03373","metadata_source":"pith","pith_arxiv_id":"2502.03373","snapshot_observed_at":"2026-07-10T22:47:37.120136Z","title":"Demystifying Long Chain-of-Thought Reasoning in LLMs","venue":"cs.CL","work_id":"6d35a498-cdd6-463a-a0d9-5a29224a06d8","year":2025},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2502.03373","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:7d75ff091ad554c0374f62d85f6b7f86971617ab2d4ebc23a81e3c1ee8230319","observation_id":"0ecffb29-0c9c-42cc-b4e5-bd19cb7555ca","resolution":{"observed_at":"2026-05-19T01:29:59.463518Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04959","last_updated":"2023-10-08T01:16:55Z","snapshot_observed_at":"2026-07-06T16:29:15.947222Z","submitted_at":"2023-10-08T01:16:55Z","title":"Towards Better Chain-of-Thought Prompting Strategies: A Survey","version":1},"cited_work":{"arxiv_id":"2310.04959","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.04959","snapshot_observed_at":"2026-07-04T00:09:14.091551Z","title":"To- wards better chain-of-thought prompting strategies: A survey","venue":null,"work_id":"d34ea99d-160a-493f-b7fa-9f6bf6cc8790","year":2023},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2310.04959","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:6cea355140c6d8aab6ca87bbc1e1c934760311a56848e6a4c22bc0f9e5da5fea","observation_id":"f6f4c3f1-7bd5-442d-9c99-f206d6b8ab28","resolution":{"observed_at":"2026-05-19T01:21:58.070140Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zhang, C","venue":null,"work_id":"5ee1f729-14e9-4825-b2dc-a18de4004df6","year":2024},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:eea4fc48ac795eb74b066381c66bd27480cfe1724bc5cf80bf9da2600467941c","observation_id":"67dde7fe-ffd7-48b6-b478-9273e8d278cc","resolution":{"observed_at":"2026-05-19T01:21:58.958676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2502.10937","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5ad83ff2-5dcc-4f1e-b95c-b62393b18ac9","year":2024},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:a7af15b9a99b083ebdb05df5579e83433dfb1d283291250546f9944dfca7727f","observation_id":"5b815225-d76b-433e-9eb2-953c6c495094","resolution":{"observed_at":"2026-05-19T01:21:58.105069Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-04T19:24:35.663511Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":"2303.18223","doi":"10.18653/v1/d16-1080","metadata_source":"pith","pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"A Survey of Large Language Models","venue":"cs.CL","work_id":"de1b42b5-4a0a-4b1f-8c78-1f7fe21be6c9","year":2023},"citing_paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","version":6},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-19T01:18:31.661827Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2508.01191"},"observation_digest":"sha256:22f816a49461cfd2f66c0f15de394f0932f0b494927b0d61ebe23d274b76afd9","observation_id":"e3f850b4-80f5-41fa-aef0-3bf16e2e52c8","resolution":{"observed_at":"2026-05-19T01:21:58.058676Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.01191","last_updated":"2026-05-08T20:20:58Z","latest_version":6,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T22:06:38.785781Z","submitted_at":"2025-08-02T04:37:28Z","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":18,"verified_fuzzy":2},"total_outbound_references":21},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 10 inbound Pith citation observations for arXiv:2508.01191."}