{"as_of":"2026-08-15T01:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d15dbaf43869cd30d28567bfb43e28377e0d20868bdb729b14d6db9a8ff7c993","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":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":49,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T16:25:36.925969Z","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T16:25:36.925969Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.13504","last_updated":"2025-05-15T17:05:43Z","snapshot_observed_at":"2026-08-14T11:39:49.853620Z","submitted_at":"2024-11-20T17:55:38Z","title":"Disentangling Memory and Reasoning Ability in Large Language Models","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-12T16:25:36.925969Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2411.13504"},"observation_digest":"sha256:a41bef06ec9f5cd8c581309847b5c0bc4075e72cf249706f3602e78a86bf5aa5","observation_id":"f2fa5ffd-aa0b-4935-a9f2-c27819f5d44a","resolution":{"observed_at":"2026-08-12T16:25:36.925969Z","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T11:13:42.295842Z","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":"2411.18478","last_updated":"2025-06-02T14:26:19Z","snapshot_observed_at":"2026-08-12T11:06:55.886082Z","submitted_at":"2024-11-27T16:19:00Z","title":"Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:13:42.295842Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2411.18478"},"observation_digest":"sha256:30e8c132e3670d2278d673e9b68503811e749fc60dbfd600b5ba98e2ed279222","observation_id":"a566315a-084d-4a7f-b1a3-561374aeff4b","resolution":{"observed_at":"2026-08-12T11:13:42.295842Z","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T05:56:43.178991Z","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":"2411.19799","last_updated":"2024-11-29T16:03:14Z","snapshot_observed_at":"2026-08-14T11:28:04.777011Z","submitted_at":"2024-11-29T16:03:14Z","title":"INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-12T05:56:43.178991Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2411.19799"},"observation_digest":"sha256:3c043cf0faf482306425d4b9f2f5429e9daca3befcac0e3509e78165b815a8be","observation_id":"55388511-0b8d-46f8-aaea-e614552b29ba","resolution":{"observed_at":"2026-08-12T05:56:43.178991Z","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-11T05:18:17.120084Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17729","last_updated":"2024-12-23T17:19:58Z","snapshot_observed_at":"2026-08-12T23:15:10.923878Z","submitted_at":"2024-12-23T17:19:58Z","title":"Chumor 2.0: Towards Benchmarking Chinese Humor Understanding","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T05:18:17.120084Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2412.17729"},"observation_digest":"sha256:776f8bd42eb7fb37a2eafbc6218ae86bc5de288ac3dd37b7fa72ee1ac9dadf53","observation_id":"fd8e47ac-8e49-4e7c-863f-ec7f1c773f60","resolution":{"observed_at":"2026-08-11T05:18:17.120084Z","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-10T21:30:36.527626Z","title":"To cot or not to cot? chain-of-thought helps mainly on math and sym- bolic reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04671","last_updated":"2025-04-08T17:09:59Z","snapshot_observed_at":"2026-08-14T02:51:12.990295Z","submitted_at":"2025-01-08T18:31:16Z","title":"Retrieval-Based Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T21:30:36.527626Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2501.04671"},"observation_digest":"sha256:a7b43d242c861ee86f49fd589d4319080b3b9b05a1a73f9b60abfc504386921e","observation_id":"5b5c25b4-0b85-440f-b652-98f777adcca8","resolution":{"observed_at":"2026-08-10T21:30:36.527626Z","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-10T20:16:09.628978Z","title":"arXiv preprint arXiv:2409.12183 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09012","last_updated":"2025-09-02T09:03:17Z","snapshot_observed_at":"2026-08-12T22:44:06.615809Z","submitted_at":"2025-01-15T18:56:22Z","title":"Multimodal LLMs Can Reason about Aesthetics in Zero-Shot","version":3},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-10T20:16:09.628978Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2501.09012"},"observation_digest":"sha256:1e8b55b3e7cdec0dd6ff209dde442682ed23efdf60e9a2c77f971315c8f07e95","observation_id":"268365f9-e234-436b-aa46-cc841d799de1","resolution":{"observed_at":"2026-08-10T20:16:09.628978Z","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-10T20:11:11.148033Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09265","last_updated":"2025-06-18T03:29:11Z","snapshot_observed_at":"2026-08-13T00:57:35.400625Z","submitted_at":"2025-01-16T03:30:47Z","title":"Perspective Transition of Large Language Models for Solving Subjective Tasks","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T20:11:11.148033Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2501.09265"},"observation_digest":"sha256:540c9403a95daa2e75af60aba6789b726135dbe6fb698c2171673ae1d4c67da2","observation_id":"73de6c17-37e2-4fc4-a7bc-af90c9d22653","resolution":{"observed_at":"2026-08-10T20:11:11.148033Z","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-08T22:33:09.587714Z","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":"2502.04506","last_updated":"2025-02-06T21:13:44Z","snapshot_observed_at":"2026-08-13T01:18:10.098997Z","submitted_at":"2025-02-06T21:13:44Z","title":"When One LLM Drools, Multi-LLM Collaboration Rules","version":1},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-08-08T22:33:09.587714Z"},"links":{"cited_paper":"/paper/2409.12183","citing_paper":"/paper/2502.04506"},"observation_digest":"sha256:1a2ba188abfec34d200b9bb67c95da9371f184b2833ec8119687a86a5a920326","observation_id":"847f648e-d5ed-4783-bdfe-58db32d48d2c","resolution":{"observed_at":"2026-08-08T22:33:09.587714Z","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":"2026-08-12T22:42:16.155601Z","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":"sha256:2c3eae93a45bf527c4870976124c53ce90a298d497726f527b1bc2dc26280adb","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-09T00:23:29.329507Z","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":"sha256:64710e5fd87371a3f1659bf5e44a6a437e42072a709340712f18b016afea2640","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":"2026-08-12T22:42:16.155601Z","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":"sha256:0eda5289f8803f5770e50e1cfae645643b010df3fdf37ee7c6c2bb87d5869f28","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T14:54:33.659117Z","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:bb56d476dd1f1be3c8600c90eb8dcf0dde2920086204ac66cc8d77d4ae2b5f5b","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T02:12:45.223458Z","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:acda595da6f0908f9961932ba03c36595b5c8283581198e339e296f46ef30d19","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-13T22:06:58.555085Z","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":"sha256:8826fa184de97b8025523ce42ad75ea3a9cb8fad561f1e3b5d1d4003509a75d4","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T01:14:39.568702Z","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:fc72310e7d80729a712cf19e16fe99dcb951533965264e318fccaf69cfa4ce55","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T07:32:09.269916Z","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:c5fa72246802e32167a8bdcc7c5c76323de5f93d8d49aa90044a50f0d0694f57","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T14:33:35.736447Z","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:e2ab18977346ca912f23358cc01d892177c44e469a5331a5a2bcfac13fdbd282","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-09T00:25:41.122128Z","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:ec15996977336d36868cc2aeefdd5482710c09f90204418edc31c1f617ce7da8","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-11T03:39:22.237777Z","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:f53a1eee91a27201dd0147ebb2735c305cbdeb41836dc31ed0e81992a46c9a01","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-09T10:36:52.271268Z","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:c31c1c0cd2a4cc730256469df14cafbfbee4487aacf7bc05b064b2bf321a5403","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-10T04:34:21.426085Z","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":"sha256:61ffe5e4913aac1cfe2caf3dcbec6844cf89512873f403abe94f960429145897","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T21:46:27.729846Z","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":"sha256:0aec2d48bb571e591a059280f9631426319adca8ff4b6e7274dda2c7e1e8f9b7","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T14:15:07.219394Z","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":"sha256:78f96e7f90db412cf9a5d50686c07b6ea89faa4aa548d740cae2a48614e45f67","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T01:55:31.870822Z","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:bd5b78fe79fb7f2c6dba693ec842a13bb97aa7880db5d19bd60cb5f31efbccde","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T19:12:28.864400Z","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":"sha256:34ff13f7fdb0fb4733dab4ec419429d09189d22441fdf9834680792c88013094","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-11T03:39:22.925858Z","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":"sha256:6971c04b60b05c9461c9894d5b2540247b4649f593004344a69cc51c2d244205","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T03:44:39.236885Z","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:d589f6bb4faab5f66bad7ec49b6c447f250eab8ec17fedd0ceba4ec1d9f569f4","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-11T03:39:15.543834Z","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:f4af41fe1ff08b05cd5283c10a8a6ba1035cddcf8f8af1fc690f023be38e0120","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T16:43:25.459161Z","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":"sha256:7cb47799b37b7a28472af99414194418445570bfe6d89dd310ffbf2b2e3fc678","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":"2026-08-12T22:42:16.155601Z","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":"sha256:14a71e979347455fae47d2421821bb1c256bc5155cb3bfd176b5a172e9c7cb65","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":"2026-08-12T22:42:16.155601Z","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":"sha256:97b2e9842f5e720a68d0951133c079d7aa91c060ebfbb472739a84fadf606f74","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-11T08:07:11.004639Z","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:fcb976bb8ad7e828e26cf4a9c3a7a7f291ea9c44cf911964b938e8cab20bcb17","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T22:43:53.004874Z","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":"sha256:933b4b62db0610eec17e7363934e276ac4c8035b5f1020463db5bb2eee84c427","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T17:07:02.674582Z","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:ccb4abc9bb87e78a09e41de78b5b5ab3f76a325a47858360c621d4a4388ac21b","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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":"2026-08-11T03:15:12.857872Z","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:fcf6f8456f4eebdf8efdc85e70dc48d590ba36c841d49e02b78254e11417a448","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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:e942d24ee161dfb913f18592fac435731e1f7f7a32f61ea31cc5d8c6ad902794","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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":"sha256:6d5b352c44c9b9de6c021b66760514233895e165767d53320758d2d515bf8bfc","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-15T00:37:31.971867Z","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:a62d7dc262c3036c606bd96cd6b79b4d51a2936408c1143fa5de95a9d95b2e82","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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:eba8b58667786977cb8aa0d0a13ddd6071dfb9363ed58b8536b2c8acd8f3fb0d","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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":"2026-08-12T16:31:33Z","snapshot_observed_at":"2026-08-15T01:13:43.840564Z","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":"sha256:1b295ff7ec66f1abb5130dc5fa95e70f961db824b7a5a86a3934356e204172cb","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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:ea1516de51e4ce82837c7d94ea7d783d73fe64caa4d33caeff958907469bf466","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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:c6836848f7486f62d1c8b23f66ebd37d54dcd552a1043568f789acabf4437d98","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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:e0b7395812c5623b132661b196f22d0d5b1c77b63dc56b30942e698441b1eaff","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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":"sha256:87ccdbe7a6113236acc484170594f8f4acd14712b28c358447b9655e0a6ffc5e","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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":"2026-08-13T13:53:03.291098Z","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":"sha256:8839d58775574296984ff0516f59b52bb860add8e86357271947b58b6b355c8a","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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":"2026-08-13T22:02:19.610327Z","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":"sha256:68b73e47cb97afc08897a7077871b3c58d583b72f183027f5bc975aba5ef5157","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 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12183","last_updated":"2025-05-07T18:00:45Z","snapshot_observed_at":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T19:58:56.729717Z","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":"sha256:51ef4bcc29c0ab821858ccb87a009135fa8be705ff9b85953674007e0a2d3208","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":"2026-08-12T22:42:16.155601Z","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":"sha256:870eb7e81e0f26e5b3b90448b4e6ffaa67e49b69239dbfbcce25765ce28cd480","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T07:07:48.520338Z","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:cb5f13d60696332410a45d4a2049761a700650051de42f055b2b9891b72b6d08","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":"2026-08-12T22:42:16.155601Z","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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 inbound Pith citation observations for arXiv:2409.12183."}