{"as_of":"2026-08-08T09:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1cb7f538e50ab9a1166dc3e69e954eda8a9a645961d0be4719f72021112cb296","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":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":41,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T20:57:42.107933Z","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":"2026-07-03T01:07:30.812997Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T20:57:42.107933Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09601","last_updated":"2025-02-13T18:52:36Z","snapshot_observed_at":"2026-08-08T03:37:50.177168Z","submitted_at":"2025-02-13T18:52:36Z","title":"CoT-Valve: Length-Compressible Chain-of-Thought Tuning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T20:57:42.107933Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2502.09601"},"observation_digest":"sha256:9c7ff736c5f4236c45d146c80a6687c217c00ea9b112b9c86709bfd4816f8c93","observation_id":"a00c5da8-fd0b-49cf-a57e-ee04a4101ec3","resolution":{"observed_at":"2026-08-07T20:57:42.107933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T20:52:33.212667Z","title":"org/CorpusID:231591445","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09621","last_updated":"2025-02-13T18:59:46Z","snapshot_observed_at":"2026-08-07T20:46:02.743961Z","submitted_at":"2025-02-13T18:59:46Z","title":"MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T20:52:33.212667Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2502.09621"},"observation_digest":"sha256:3932e9a571210d871805e9f88603ec99fd0da17669e24fd0bbb6ea1a2ddc2e03","observation_id":"20d4ca02-ffc5-4564-a8f9-efdfbc6e8cab","resolution":{"observed_at":"2026-08-07T20:52:33.212667Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2504.05605","last_updated":"2025-04-08T01:36:16Z","snapshot_observed_at":"2026-08-02T05:27:21.658804Z","submitted_at":"2025-04-08T01:36:16Z","title":"ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-22T21:11:46.405944Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2504.05605"},"observation_digest":"sha256:7c0348e24ee517bd25f1cd0162da51c60c474c8f07834e85fe59532579a0cdba","observation_id":"9e3194f2-20e0-4af6-99b2-cabc782cb5d2","resolution":{"observed_at":"2026-05-22T21:12:08.334771Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T14:40:37.243258Z","title":"To CoT or not to CoT? chain- of-thought helps mainly on math and symbolic reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17968","last_updated":"2025-05-23T14:37:36Z","snapshot_observed_at":"2026-08-08T04:33:08.331255Z","submitted_at":"2025-05-23T14:37:36Z","title":"Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T14:40:37.243258Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2505.17968"},"observation_digest":"sha256:f069aec939854a2251d0d9f154f1e95b00d4562ffcd4f6962c5d6d0289e9290e","observation_id":"7290d399-1b29-42ab-bc4f-f3030c56f46e","resolution":{"observed_at":"2026-08-07T14:40:37.243258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T14:18:20.394590Z","title":"To cot or not to cot? chain- of-thought helps mainly on math and symbolic reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19405","last_updated":"2025-05-26T01:42:37Z","snapshot_observed_at":"2026-08-07T14:12:40.563554Z","submitted_at":"2025-05-26T01:42:37Z","title":"CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:18:20.394590Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2505.19405"},"observation_digest":"sha256:b21837d24a16a5eefb40259a0284f5d03bfd7279ca2f3810de3d3e7684642209","observation_id":"f7dcd278-2feb-48e7-a904-511db8561951","resolution":{"observed_at":"2026-08-07T14:18:20.394590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T14:12:05.838650Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19683","last_updated":"2025-05-26T08:44:53Z","snapshot_observed_at":"2026-08-07T14:06:07.358887Z","submitted_at":"2025-05-26T08:44:53Z","title":"Large Language Models for Planning: A Comprehensive and Systematic Survey","version":1},"reference_index":227,"source":"pdf_text","source_observed_at":"2026-08-07T14:12:05.838650Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2505.19683"},"observation_digest":"sha256:0cc6f0e17774748022b69d52ba129efb5a11ba315c492dad860c6c40bba6ad4c","observation_id":"1af4ea35-8f50-4e96-9435-d6db4e4915e8","resolution":{"observed_at":"2026-08-07T14:12:05.838650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T14:02:56.160760Z","title":"To cot or not to cot? chain-of-thought helps mainly on math and symbolic reasoning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20223","last_updated":"2025-05-26T17:06:00Z","snapshot_observed_at":"2026-08-08T00:05:56.709460Z","submitted_at":"2025-05-26T17:06:00Z","title":"Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T14:02:56.160760Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2505.20223"},"observation_digest":"sha256:16d029dca7554513c871787473bbbe8985c06265a66df2be29bef29106bd3ea7","observation_id":"59eae496-43f2-4f92-a190-689ab3753902","resolution":{"observed_at":"2026-08-07T14:02:56.160760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T13:21:20.484755Z","title":"To cot or not to cot? chain- of-thought helps mainly on math and symbolic reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22068","last_updated":"2025-05-28T07:47:46Z","snapshot_observed_at":"2026-08-07T13:13:34.125452Z","submitted_at":"2025-05-28T07:47:46Z","title":"Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:21:20.484755Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2505.22068"},"observation_digest":"sha256:b164e43face07637a94b8a170935971ef061e4ac28248fe6b072febae3104126","observation_id":"c824a449-c453-44d9-a3ce-d7b91e5650fd","resolution":{"observed_at":"2026-08-07T13:21:20.484755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T13:10:43.988173Z","title":"To cot or not to cot? chain- of-thought helps mainly on math and symbolic reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22457","last_updated":"2025-05-28T15:13:34Z","snapshot_observed_at":"2026-08-07T13:04:26.186923Z","submitted_at":"2025-05-28T15:13:34Z","title":"Fostering Video Reasoning via Next-Event Prediction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:10:43.988173Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2505.22457"},"observation_digest":"sha256:e6368a0b6ced0bcd0a6ec2d55176f1abab766070aa369908df57b408a59de6a6","observation_id":"f42e9495-07d5-43ff-a659-14d3113954da","resolution":{"observed_at":"2026-08-07T13:10:43.988173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T12:40:25.116324Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24147","last_updated":"2025-05-30T02:39:37Z","snapshot_observed_at":"2026-08-08T02:48:29.524773Z","submitted_at":"2025-05-30T02:39:37Z","title":"Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T12:40:25.116324Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2505.24147"},"observation_digest":"sha256:fb147b87fc393a7c2cbaeac0efb6f3f1d339d20d5e84cb616d942ebbb0eecc5c","observation_id":"12763add-803e-4d01-b0af-2d0cc0ac8fa8","resolution":{"observed_at":"2026-08-07T12:40:25.116324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T12:35:21.193528Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24362","last_updated":"2025-06-02T10:26:59Z","snapshot_observed_at":"2026-08-08T05:50:25.456514Z","submitted_at":"2025-05-30T08:54:28Z","title":"Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:21.193528Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2505.24362"},"observation_digest":"sha256:425a3387bca32bcfcc078e88c37d21d4807743d8e6c8187c2a895896531abdee","observation_id":"29fa4223-63f3-4821-97be-e73f41725e14","resolution":{"observed_at":"2026-08-07T12:35:21.193528Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T12:11:11.246518Z","title":"To cot or not to cot? chain-of-thought helps mainly on math and symbolic reasoning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00309","last_updated":"2025-06-28T05:54:45Z","snapshot_observed_at":"2026-08-07T23:21:38.558900Z","submitted_at":"2025-05-30T23:37:37Z","title":"Evaluation of LLMs for mathematical problem solving","version":3},"reference_index":111,"source":"pdf_text","source_observed_at":"2026-08-07T12:11:11.246518Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2506.00309"},"observation_digest":"sha256:248901ccae610a5fd021fd96a58c192cd0378fa94b41dfff51b07f853bd3fd1a","observation_id":"a49f86ab-8283-45b8-94eb-b111230b8b4d","resolution":{"observed_at":"2026-08-07T12:11:11.246518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T10:55:00.727234Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03984","last_updated":"2025-06-04T14:14:28Z","snapshot_observed_at":"2026-08-07T10:47:36.847544Z","submitted_at":"2025-06-04T14:14:28Z","title":"Around the World in 24 Hours: Probing LLM Knowledge of Time and Place","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T10:55:00.727234Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2506.03984"},"observation_digest":"sha256:92e91bd836049c0efd308ddfdbce857fe8e57393b2e4097d697398a885bf01b6","observation_id":"f9365eb3-3c7f-48e0-9950-f8fbc8c84448","resolution":{"observed_at":"2026-08-07T10:55:00.727234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T06:09:18.855178Z","title":"D., Jiang, D., Wadhwa, M., Singhal, P., Zhao, X., Ye, X., Mahowald, K., and Durrett, G","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06008","last_updated":"2025-06-06T11:53:27Z","snapshot_observed_at":"2026-08-07T10:44:12.390654Z","submitted_at":"2025-06-06T11:53:27Z","title":"Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T06:09:18.855178Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2506.06008"},"observation_digest":"sha256:50540a1255f7511e38b2c37d159e610cecfcf50e70ec3c571629caf5a0bf0bc7","observation_id":"e0b9de13-2f35-481f-b8e4-7fa1e17b55b8","resolution":{"observed_at":"2026-08-07T06:09:18.855178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T05:14:47.445151Z","title":"Sprague, F","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08446","last_updated":"2025-06-10T04:44:28Z","snapshot_observed_at":"2026-08-07T09:15:20.058485Z","submitted_at":"2025-06-10T04:44:28Z","title":"A Survey on Large Language Models for Mathematical Reasoning","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T05:14:47.445151Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2506.08446"},"observation_digest":"sha256:733a0b8c699c37d4d054a9ca6f06f538e88b36a7237b9968ef6bb879c8e73d28","observation_id":"59e55a45-8989-4177-bb30-51b3d0214426","resolution":{"observed_at":"2026-08-07T05:14:47.445151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-07T00:43:06.779316Z","title":"InWorkshops at the Thirtieth AAAI Conference on Artificial Intelligence","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13065","last_updated":"2025-06-16T03:18:28Z","snapshot_observed_at":"2026-08-07T00:34:51.788427Z","submitted_at":"2025-06-16T03:18:28Z","title":"MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T00:43:06.779316Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2506.13065"},"observation_digest":"sha256:31bcfb0a62718d0a316297a24755b5d02754c4d72cc437412d24d4c40cc85820","observation_id":"958c50c7-34da-4976-b1f5-a9465258e5a3","resolution":{"observed_at":"2026-08-07T00:43:06.779316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-06T23:48:49.121631Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16010","last_updated":"2025-06-19T04:06:43Z","snapshot_observed_at":"2026-08-07T10:47:01.307481Z","submitted_at":"2025-06-19T04:06:43Z","title":"SimuPanel: A Novel Immersive Multi-Agent System to Simulate Interactive Expert Panel Discussion","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T23:48:49.121631Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2506.16010"},"observation_digest":"sha256:d8ed14f4ddbca8f04789499ad9eca0b39c437ed360a73155970733a2d007a6f0","observation_id":"5dd96dca-3e01-46a5-b51f-2caad4dd617b","resolution":{"observed_at":"2026-08-06T23:48:49.121631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-06T23:12:12.681489Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19889","last_updated":"2025-06-24T07:28:29Z","snapshot_observed_at":"2026-08-06T23:04:26.764384Z","submitted_at":"2025-06-24T07:28:29Z","title":"Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T23:12:12.681489Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2506.19889"},"observation_digest":"sha256:ab57c7e4509899c4e32954e299e0705b37e0eeedc3e4a0424bc0add0b2c79a4e","observation_id":"2e94c334-c65a-407e-8165-81a2d5cc3e25","resolution":{"observed_at":"2026-08-06T23:12:12.681489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-06T23:11:43.718989Z","title":"To cot or not to cot? chain-of-thought helps mainly on math and symbolic reasoning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.22486","last_updated":"2025-06-24T02:19:26Z","snapshot_observed_at":"2026-08-06T23:43:49.119955Z","submitted_at":"2025-06-24T02:19:26Z","title":"Hallucination Detection with Small Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:11:43.718989Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2506.22486"},"observation_digest":"sha256:e34188bf58bb0ad31ef38e7e02e36be88256d45a319ca78c6bc2bf20a1b0bcf4","observation_id":"08e1fc67-a40b-415c-a128-dd2d9bde2c70","resolution":{"observed_at":"2026-08-06T23:11:43.718989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-06T19:58:37.027394Z","title":"D.; Jiang, D.; Wadhwa, M.; Singhal, P.; Zhao, X.; Ye, X.; Mahowald, K.; and Durrett, G","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04142","last_updated":"2025-07-05T19:43:54Z","snapshot_observed_at":"2026-08-06T19:52:02.081681Z","submitted_at":"2025-07-05T19:43:54Z","title":"Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T19:58:37.027394Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2507.04142"},"observation_digest":"sha256:dcd278c8891f0e157b0c443061ff92f025055a7e05337fabd50365f70c9a0d48","observation_id":"4d9386de-c2a1-4b62-b769-ddfa9ceb9389","resolution":{"observed_at":"2026-08-06T19:58:37.027394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-06T19:32:20.753875Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05424","last_updated":"2025-07-07T19:13:20Z","snapshot_observed_at":"2026-08-06T19:24:27.181067Z","submitted_at":"2025-07-07T19:13:20Z","title":"\"Lost-in-the-Later\": Framework for Quantifying Contextual Grounding in Large Language Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T19:32:20.753875Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2507.05424"},"observation_digest":"sha256:ed487f05c02a57dea37b4537ef6b680b8939f81855d1ea8f27cd83dd9bc96fdc","observation_id":"217959ec-746d-41bb-97ce-55294accad5f","resolution":{"observed_at":"2026-08-06T19:32:20.753875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-06T10:19:41.427423Z","title":"arXiv preprint arXiv:2409.12183","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.02721","last_updated":"2026-06-16T13:13:05Z","snapshot_observed_at":"2026-08-07T07:21:40.052534Z","submitted_at":"2025-08-01T03:10:00Z","title":"Blueprint First, Model Second: A Framework for Deterministic LLM Workflow","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T10:19:41.427423Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2508.02721"},"observation_digest":"sha256:1366e9e9870fa1f9ee2284aa1ae31883af946c1314459e975ed4ae9add16c76b","observation_id":"93a4553f-d7d6-4255-b269-9aa8b702d1d9","resolution":{"observed_at":"2026-08-06T10:19:41.427423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-05T18:02:16.868458Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.15388","last_updated":"2025-08-21T09:25:31Z","snapshot_observed_at":"2026-08-06T15:52:16.581718Z","submitted_at":"2025-08-21T09:25:31Z","title":"TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T18:02:16.868458Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2508.15388"},"observation_digest":"sha256:5c2112a75d712817804348586fdc8c70d110ffd427a2e7074c253630064d6745","observation_id":"7b3602e6-02ba-4a3a-93e1-5f6484d73fbf","resolution":{"observed_at":"2026-08-05T18:02:16.868458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-05T04:42:06.402593Z","title":"To cot or not to cot? chain-of-thought helps mainly on math and symbolic reasoning.arXiv preprint arXiv:2409.12183, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06024","last_updated":"2025-09-07T11:52:18Z","snapshot_observed_at":"2026-08-06T03:19:32.912528Z","submitted_at":"2025-09-07T11:52:18Z","title":"Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T04:42:06.402593Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2509.06024"},"observation_digest":"sha256:184a0b5261a6302b18f197c7300d8fa4e85fd3daa2837de113dfd9c1b97f35d1","observation_id":"8531279f-7ae6-4beb-933a-c0eb75e3c785","resolution":{"observed_at":"2026-08-05T04:42:06.402593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-03T17:17:08.782106Z","title":"To cot or not to cot? chain-of-thought helps mainly on math and sym- bolic reasoning.arXiv preprint arXiv:2409.12183, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.10342","last_updated":"2026-06-26T22:35:57Z","snapshot_observed_at":"2026-08-08T04:11:12.384333Z","submitted_at":"2025-12-11T06:46:51Z","title":"CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T17:17:08.782106Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2512.10342"},"observation_digest":"sha256:c94128919abceb3246ba56728528b380aa65b9a8cbd7dd654ea5cd159adfca68","observation_id":"9dbe4d01-fd58-4ea7-b4f9-475b218b4844","resolution":{"observed_at":"2026-08-03T17:17:08.782106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2601.06993","last_updated":"2026-04-10T19:45:13Z","snapshot_observed_at":"2026-07-06T22:41:24.948774Z","submitted_at":"2026-01-11T17:07:47Z","title":"Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification?","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-16T14:51:26.368439Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2601.06993"},"observation_digest":"sha256:c279d9ddcc1d92d6e22f1c0780bae10fb10a6cf21e8c69f59af362084154e688","observation_id":"523bf140-30f8-45b7-9243-161ebb2b773e","resolution":{"observed_at":"2026-05-16T14:53:00.625814Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2604.08232","last_updated":"2026-04-09T13:22:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-09T13:22:24Z","title":"HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T17:01:13.350219Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2604.08232"},"observation_digest":"sha256:480b65684b117f2dc2d9415cb4b51543051e058d15858e37c18ab24f8a253f8d","observation_id":"2a9e2185-4594-4d1c-b9f4-061d0068d8cc","resolution":{"observed_at":"2026-05-11T07:41:01.500506Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2604.09237","last_updated":"2026-06-25T08:12:07Z","snapshot_observed_at":"2026-08-03T16:37:33.439274Z","submitted_at":"2026-04-10T11:51:23Z","title":"ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T17:47:45.172877Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2604.09237"},"observation_digest":"sha256:0a2b22f126a621a38d4cb77ca4a8fbbbe305115a4e5493c4bebcc84cfbe1f0a4","observation_id":"24192235-5a0c-4241-a614-f57728bd0e6a","resolution":{"observed_at":"2026-05-11T06:05:59.768982Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-12T23:25:07.784726Z","title":"Gemini Team","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.09237","last_updated":"2026-06-25T08:12:07Z","snapshot_observed_at":"2026-08-03T16:37:33.439274Z","submitted_at":"2026-04-10T11:51:23Z","title":"ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T23:25:07.784726Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2604.09237"},"observation_digest":"sha256:ffff82da28d402710e6c2636f3427a9702813f9ffe0b4b387e7b2d0d592fdb4b","observation_id":"be521402-f738-4615-8822-3770a0858c47","resolution":{"observed_at":"2026-07-12T23:25:07.784726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2604.15994","last_updated":"2026-04-23T15:57:11Z","snapshot_observed_at":"2026-08-02T15:16:09.532369Z","submitted_at":"2026-04-17T12:16:57Z","title":"ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T09:01:28.605086Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2604.15994"},"observation_digest":"sha256:3611d9f18dc4e7024fa153f11e64d93c7a77a1c2c8bd2fa8b25085e9fa22d24d","observation_id":"aa4ccb1d-a3c0-4853-840c-14e564f0d591","resolution":{"observed_at":"2026-05-10T09:03:25.061802Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2604.25155","last_updated":"2026-04-28T02:57:20Z","snapshot_observed_at":"2026-08-04T04:22:10.934988Z","submitted_at":"2026-04-28T02:57:20Z","title":"Rethinking Wireless Communications through Formal Mathematical AI Reasoning","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-07T15:42:24.167986Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2604.25155"},"observation_digest":"sha256:6d42a40b8fb7da32dd77db43635139f37edf493ed2608ba2e34d7f188e2bf984","observation_id":"1ec9246f-ecde-4637-9c0b-58db3a68a3e7","resolution":{"observed_at":"2026-05-12T00:11:16.574243Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2604.27143","last_updated":"2026-04-29T19:54:27Z","snapshot_observed_at":"2026-08-06T02:38:48.975712Z","submitted_at":"2026-04-29T19:54:27Z","title":"Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-07T09:47:52.767727Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2604.27143"},"observation_digest":"sha256:95857c188bd61523575ad6e3803a3355fc0ad998ac5258e4c0e17576f1d53b5f","observation_id":"77f52588-1e32-49ec-b066-580141011cc5","resolution":{"observed_at":"2026-05-12T09:41:26.720469Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2605.05715","last_updated":"2026-05-07T05:58:38Z","snapshot_observed_at":"2026-07-06T23:18:17.333660Z","submitted_at":"2026-05-07T05:58:38Z","title":"Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-05-08T11:42:16.090162Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2605.05715"},"observation_digest":"sha256:e62de442722aab68d00ae9e47538f9c65e4fa6c86e2a02f1383d8ad3ad7028db","observation_id":"5f55d0a2-0801-487f-b820-5fa2b7369951","resolution":{"observed_at":"2026-05-11T19:31:10.386365Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2605.11260","last_updated":"2026-05-11T21:37:20Z","snapshot_observed_at":"2026-07-06T23:23:06.755816Z","submitted_at":"2026-05-11T21:37:20Z","title":"Curriculum Learning-Guided Progressive Distillation in Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-13T01:53:21.920498Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2605.11260"},"observation_digest":"sha256:a497b031c5b44bd7e8120e764f7e16d7dd2eba3d331368358ec9a082245fa0f4","observation_id":"75592358-6a8b-40ba-a444-2e446ace6d5a","resolution":{"observed_at":"2026-05-13T01:57:05.817967Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2605.14344","last_updated":"2026-05-15T13:35:45Z","snapshot_observed_at":"2026-08-03T12:20:38.246253Z","submitted_at":"2026-05-14T04:08:51Z","title":"CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-19T16:49:03.046864Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2605.14344"},"observation_digest":"sha256:4b3cfa8ad31b6b2dafadf28d2d70b6aca9d6dad8483ce8797016061a9f7f672c","observation_id":"cf01473b-96d2-4ac8-8349-3fedf40da70a","resolution":{"observed_at":"2026-05-19T16:52:40.126583Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2605.22873","last_updated":"2026-05-20T03:15:46Z","snapshot_observed_at":"2026-08-01T10:03:51.429507Z","submitted_at":"2026-05-20T03:15:46Z","title":"When Do LLMs Reason? A Dynamical Systems View via Entropy Phase Transitions","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-25T06:14:49.430548Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2605.22873"},"observation_digest":"sha256:c616aa5d6836234b12da84eea658ee0cfd519e624a9e239a4dcbb60b3789fd2e","observation_id":"3bf2edc6-08f1-47ab-b4a9-7c107e45b92a","resolution":{"observed_at":"2026-05-25T06:15:23.462799Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2606.05315","last_updated":"2026-06-03T18:05:50Z","snapshot_observed_at":"2026-08-06T07:51:28.002671Z","submitted_at":"2026-06-03T18:05:50Z","title":"LoRi: Low-Rank Distillation for Implicit Reasoning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-06-28T06:20:42.184829Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2606.05315"},"observation_digest":"sha256:cc1eafe690e92ccbc10bb47eef960fc26be6da6a996b130372e15b5e64914ff8","observation_id":"98d6d6be-d1de-41a0-93a4-e8ca1475cde3","resolution":{"observed_at":"2026-07-02T08:06:48.334464Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":"2409.12183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-03T01:07:30.812997Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":"78a5f54e-4ffc-4e76-b0d3-ef76f014a7fb","year":2024},"citing_paper":{"arxiv_id":"2606.10142","last_updated":"2026-06-08T20:17:49Z","snapshot_observed_at":"2026-08-01T20:16:07.936422Z","submitted_at":"2026-06-08T20:17:49Z","title":"DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T16:46:34.169875Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2606.10142"},"observation_digest":"sha256:25e17f4f133da5e56c4e6f3e90400234762a547fcb3369144a0876241c490963","observation_id":"9835ed7b-b719-42a0-940a-e6751fa32d4d","resolution":{"observed_at":"2026-07-03T01:07:30.814545Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-14T10:51:16.019022Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10557","last_updated":"2026-07-12T04:13:27Z","snapshot_observed_at":"2026-08-07T19:26:40.944900Z","submitted_at":"2026-07-12T04:13:27Z","title":"UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-14T10:51:16.019022Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2607.10557"},"observation_digest":"sha256:30007eed7959f87af4d653e68b90b57e959d7a6c8795dceeec336dc31e2097b5","observation_id":"1fbb5e40-3802-4b1f-a2c2-5f1ed515d08b","resolution":{"observed_at":"2026-07-14T10:51:16.019022Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-08-02T14:42:45.567640Z","title":"To CoT or not to CoT? chain- of-thought helps mainly on math and symbolic reasoning.arXiv preprint arXiv:2409.12183, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.14109","last_updated":"2026-05-07T21:11:51Z","snapshot_observed_at":"2026-08-08T06:32:48.904917Z","submitted_at":"2026-05-07T21:11:51Z","title":"Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T14:42:45.567640Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2607.14109"},"observation_digest":"sha256:e197979e0300fdb64b7dfefba6087b20f6b370fe985e8a998d7a9ae80c0d6514","observation_id":"386a2a21-f5f9-4ae0-9201-d03189116cb1","resolution":{"observed_at":"2026-08-02T14:42:45.567640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12183","snapshot_observed_at":"2026-07-30T22:49:43.477542Z","title":"arXiv preprint arXiv:2409.12183 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23420","last_updated":"2026-07-26T02:35:47Z","snapshot_observed_at":"2026-08-02T21:56:50.028793Z","submitted_at":"2026-07-26T02:35:47Z","title":"LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction","version":1},"reference_index":170,"source":"arxiv_source","source_observed_at":"2026-07-30T22:49:43.477542Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2607.23420"},"observation_digest":"sha256:20dcf61e5fc7dc856fbf7ee807274cd44f06aefb6dab066363307a117956de59","observation_id":"4407500d-8b5c-42bd-84c5-105ff33527f4","resolution":{"observed_at":"2026-07-30T22:49:43.477542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.12183/citation-record","integrity":"/paper/2409.12183/integrity","json":"/paper/2409.12183/citation-record.json","paper":"/paper/2409.12183"},"outbound":[],"paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-01T16:38:42.947080Z","submitted_at":"2024-09-18T17:55:00Z","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2409.12183."}