{"as_of":"2026-08-09T13:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0879eae13ff3a7b9f2bbac149aa40f36b1aa83f319bc8ca0b0017749b2f43c54","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":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T20:51:16.689289Z","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":"2026-07-01T22:06:16.140793Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-08T20:51:16.689289Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.10428","last_updated":"2025-04-05T13:51:05Z","snapshot_observed_at":"2026-08-08T20:45:53.600108Z","submitted_at":"2025-02-07T14:24:43Z","title":"Dynamic Chain-of-Thought: Towards Adaptive Deep Reasoning","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T20:51:16.689289Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2502.10428"},"observation_digest":"sha256:327f972bbb2deb23363f823469a6164f0e65f4e0f118e0ee9c721adae7d33f1c","observation_id":"09901895-e362-4a53-adb2-f87bde17d455","resolution":{"observed_at":"2026-08-08T20:51:16.689289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":"2401.04925","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-07-01T22:06:16.140793Z","title":"The impact of reasoning step length on large language models","venue":null,"work_id":"1632fe26-bf26-4ae6-9d65-f78d61bea643","year":2024},"citing_paper":{"arxiv_id":"2502.17419","last_updated":"2025-06-25T02:24:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-24T18:50:52Z","title":"From System 1 to System 2: A Survey of Reasoning Large Language Models","version":6},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-13T01:36:23.845366Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2502.17419"},"observation_digest":"sha256:de13ae4f9c8c084c178c41e0216906a95373c773df4ca8509e1e1b83100214dc","observation_id":"f39bf3b6-f4ac-47a1-9951-e34d974c74af","resolution":{"observed_at":"2026-05-13T01:36:24.593530Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":"2401.04925","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-07-01T22:06:16.140793Z","title":"The impact of reasoning step length on large language models","venue":null,"work_id":"1632fe26-bf26-4ae6-9d65-f78d61bea643","year":2024},"citing_paper":{"arxiv_id":"2503.16419","last_updated":"2025-08-21T19:14:40Z","snapshot_observed_at":"2026-08-07T04:27:23.738927Z","submitted_at":"2025-03-20T17:59:38Z","title":"Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models","version":4},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-14T01:29:56.480020Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2503.16419"},"observation_digest":"sha256:02d1ccb7ea886e04a62ad29920bbe09fd57ec1d38b2cad6334a08fa390560842","observation_id":"e000c368-a752-430a-bbb8-9b4f1685e435","resolution":{"observed_at":"2026-05-14T01:29:56.755718Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-07T14:55:24.723010Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17021","last_updated":"2025-05-22T17:59:58Z","snapshot_observed_at":"2026-08-08T11:44:17.973390Z","submitted_at":"2025-05-22T17:59:58Z","title":"ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T14:55:24.723010Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2505.17021"},"observation_digest":"sha256:c25f8c8a37923e3fa6419bd91846d7f4fb8b281ffff0ab7958b487fe539eae33","observation_id":"7a35277b-64d7-4fe1-9989-236a8777101d","resolution":{"observed_at":"2026-08-07T14:55:24.723010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-07T14:27:49.887553Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18831","last_updated":"2025-05-24T19:00:36Z","snapshot_observed_at":"2026-08-07T15:06:24.787553Z","submitted_at":"2025-05-24T19:00:36Z","title":"Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:27:49.887553Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2505.18831"},"observation_digest":"sha256:782656ca025bb4da85d3d445909b4cd277dbfb3130d2f38c5597a2026f5fcf72","observation_id":"9b5d2bbe-8e6a-4cff-85f2-8db749303448","resolution":{"observed_at":"2026-08-07T14:27:49.887553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-07T12:36:16.046121Z","title":"The impact of reasoning step length on large language models.arXiv preprint arXiv:2401.04925, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24225","last_updated":"2025-05-30T05:24:21Z","snapshot_observed_at":"2026-08-09T01:03:19.872300Z","submitted_at":"2025-05-30T05:24:21Z","title":"Reasoning Can Hurt the Inductive Abilities of Large Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:36:16.046121Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2505.24225"},"observation_digest":"sha256:be8e14eda54a8c6a0ff3220163b75b042c99dd273b8338f401e748b73043cf14","observation_id":"b9bb9319-88cc-4637-8039-8780c4cb8c56","resolution":{"observed_at":"2026-08-07T12:36:16.046121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-07T11:16:59.137930Z","title":"The impact of reasoning step length on large language models.arXiv preprint arXiv:2401.04925, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02911","last_updated":"2025-06-03T14:16:53Z","snapshot_observed_at":"2026-08-07T21:54:10.624273Z","submitted_at":"2025-06-03T14:16:53Z","title":"Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:59.137930Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2506.02911"},"observation_digest":"sha256:f853f2647c432a97a4c51bd7811f5d4878f06fd349a2281b7c3455af4adc5953","observation_id":"3dcc2852-3a6e-49bf-82cc-ffd3dcd0bcc4","resolution":{"observed_at":"2026-08-07T11:16:59.137930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-07T10:42:54.722718Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04574","last_updated":"2025-06-05T02:47:23Z","snapshot_observed_at":"2026-08-08T11:22:13.587345Z","submitted_at":"2025-06-05T02:47:23Z","title":"Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:42:54.722718Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2506.04574"},"observation_digest":"sha256:f66f93a3e19e4a21ace7eccb722b74d7454ace2e3f43b104e4a34fa5dd5f52a4","observation_id":"92df2013-73cf-49b2-9f3d-d74aea305a97","resolution":{"observed_at":"2026-08-07T10:42:54.722718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-07T05:45:05.901186Z","title":"The impact of reasoning step length on large language models.arXiv preprint arXiv:2401.04925, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07240","last_updated":"2025-06-08T17:54:33Z","snapshot_observed_at":"2026-08-08T11:50:21.329290Z","submitted_at":"2025-06-08T17:54:33Z","title":"Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:45:05.901186Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2506.07240"},"observation_digest":"sha256:8942333d9fd7a6d50d8b12cea9ea925b770d5056eb14ebbef633cd8f0743e326","observation_id":"f08d32ef-1eaf-4d0c-8735-f98ab106f7d1","resolution":{"observed_at":"2026-08-07T05:45:05.901186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-07T04:24:02.102954Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10822","last_updated":"2025-06-12T15:43:01Z","snapshot_observed_at":"2026-08-09T12:18:57.638586Z","submitted_at":"2025-06-12T15:43:01Z","title":"ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T04:24:02.102954Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2506.10822"},"observation_digest":"sha256:e0eabf0175990627dc89c8e64c0d26026c1fcc0ed5939bbff5f39256b2c6aeee","observation_id":"3750dc38-2bfd-4a39-a36a-020960dc4387","resolution":{"observed_at":"2026-08-07T04:24:02.102954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-06T23:56:29.986682Z","title":"The Impact of Reasoning Step Length on Large Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15567","last_updated":"2025-09-02T15:08:19Z","snapshot_observed_at":"2026-08-09T03:13:20.777626Z","submitted_at":"2025-06-18T15:43:10Z","title":"Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:56:29.986682Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2506.15567"},"observation_digest":"sha256:8d5a87fb9bf5c8647b8977763abfd2064b393bdbcae5845a0f9b01ddb9f40734","observation_id":"a645a67e-703c-4677-90bd-4304def4d914","resolution":{"observed_at":"2026-08-06T23:56:29.986682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-06T20:46:44.770899Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01951","last_updated":"2025-07-09T12:28:31Z","snapshot_observed_at":"2026-08-08T06:20:24.808659Z","submitted_at":"2025-07-02T17:58:01Z","title":"Test-Time Scaling with Reflective Generative Model","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:44.770899Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2507.01951"},"observation_digest":"sha256:84e4cf9890f955537c7b0eec1ec3f18f1c20721256e61e8a3e9b9beca57f06d5","observation_id":"6cb25bc9-63f5-4393-a4bc-dee21072b0d2","resolution":{"observed_at":"2026-08-06T20:46:44.770899Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-06T17:54:16.725850Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09662","last_updated":"2025-07-13T14:51:59Z","snapshot_observed_at":"2026-08-07T01:15:50.475193Z","submitted_at":"2025-07-13T14:51:59Z","title":"Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-06T17:54:16.725850Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2507.09662"},"observation_digest":"sha256:07e8cf2dffddcf9e83e0bba2422476246d9d0fd5282f0a6f2dfba86806584b75","observation_id":"73e17fc6-e8b1-41cd-9360-889355df89ce","resolution":{"observed_at":"2026-08-06T17:54:16.725850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-08-03T05:17:29.854230Z","title":"The impact of reasoning step length on large language models.arXiv preprint arXiv:2401.04925,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.02823","last_updated":"2026-05-29T19:48:02Z","snapshot_observed_at":"2026-08-03T05:17:28.452364Z","submitted_at":"2026-02-02T21:23:51Z","title":"R2-Router: A New Paradigm for LLM Routing with Reasoning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T05:17:29.854230Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2602.02823"},"observation_digest":"sha256:84d4149f5a22a42909060fd14259c92569ade3643f011eed47cd682ca7db703f","observation_id":"b85ca0c7-8270-46df-aa62-eeeaeeac55b6","resolution":{"observed_at":"2026-08-03T05:17:29.854230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":"2401.04925","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-07-01T22:06:16.140793Z","title":"The impact of reasoning step length on large language models","venue":null,"work_id":"1632fe26-bf26-4ae6-9d65-f78d61bea643","year":2024},"citing_paper":{"arxiv_id":"2605.06165","last_updated":"2026-05-07T12:51:49Z","snapshot_observed_at":"2026-07-06T23:18:41.400741Z","submitted_at":"2026-05-07T12:51:49Z","title":"Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost","version":1},"reference_index":174,"source":"arxiv_source","source_observed_at":"2026-05-08T10:19:08.451445Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2605.06165"},"observation_digest":"sha256:501baecf38f497d947a66c5e21babdf240c8d3d159b71e6b6a6c8e9f5868704c","observation_id":"ad883f42-7a76-42b3-b2f1-7cd75d8952c4","resolution":{"observed_at":"2026-05-11T20:06:09.748170Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on Large Language Models","version":4},"cited_work":{"arxiv_id":"2401.04925","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.04925","snapshot_observed_at":"2026-07-01T22:06:16.140793Z","title":"The impact of reasoning step length on large language models","venue":null,"work_id":"1632fe26-bf26-4ae6-9d65-f78d61bea643","year":2024},"citing_paper":{"arxiv_id":"2606.01532","last_updated":"2026-06-02T03:44:54Z","snapshot_observed_at":"2026-08-05T19:46:58.020708Z","submitted_at":"2026-06-01T01:28:42Z","title":"Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-06-28T15:48:48.046003Z"},"links":{"cited_paper":"/paper/2401.04925","citing_paper":"/paper/2606.01532"},"observation_digest":"sha256:dd830177a1a407f40517fee54a18ab90a450ead9ac81d56b1c7d1e993d2e8d59","observation_id":"2b2e4778-f1ff-4a94-b746-e85bd693dab9","resolution":{"observed_at":"2026-07-01T22:06:16.143480Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.04925/citation-record","integrity":"/paper/2401.04925/integrity","json":"/paper/2401.04925/citation-record.json","paper":"/paper/2401.04925"},"outbound":[],"paper":{"arxiv_id":"2401.04925","last_updated":"2024-06-22T08:18:48Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T11:40:48.324237Z","submitted_at":"2024-01-10T04:37:38Z","title":"The Impact of Reasoning Step Length on 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2401.04925."}