{"as_of":"2026-08-20T01:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4d96d0c770d17cdaa06f396836a49fef8cbbccd229b532697226026226056518","coverage":[{"denominator":79,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":79,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:24:24.276508Z","state":"measured"},{"denominator":79,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":79,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.20771/citation-record","integrity":"/paper/2504.20771/integrity","json":"/paper/2504.20771/citation-record.json","paper":"/paper/2504.20771"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:23.938168Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.938168Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:9effa926ccee697f5d0c17ce7487b91ab3f47b1b9d5978ecc1c0eb083b5e416c","observation_id":"3db6c078-dce0-42c2-ba65-f4812a0acbfd","resolution":{"observed_at":"2026-08-16T05:24:23.938168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:23.943685Z","title":"Gpqa: A graduate-level google-proof q&a benchmark","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.943685Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:6a2b303654ea4cb4ca2e5ec0253c5d11428901b0afb7649ff154623c7ca25d65","observation_id":"d0bbc28e-e902-4fd7-bcf5-424d34896bc5","resolution":{"observed_at":"2026-08-16T05:24:23.943685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12753","last_updated":"2025-03-06T12:55:25Z","snapshot_observed_at":"2026-08-16T13:41:46.107232Z","submitted_at":"2024-06-18T16:20:53Z","title":"OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12753","snapshot_observed_at":"2026-08-16T05:24:23.948148Z","title":"Olympicarena: Benchmarking multi-discipline cognitive reasoning for superintelligent ai","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.948148Z"},"links":{"cited_paper":"/paper/2406.12753","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:4caa086daa1f834f3a9ce7cef114b418291d7ccdadcd24a09b1efd7751b1e2e8","observation_id":"8ea08924-f665-4c7f-b542-7d75018331c4","resolution":{"observed_at":"2026-08-16T05:24:23.948148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06770","last_updated":"2024-11-11T23:05:04Z","snapshot_observed_at":"2026-08-18T08:11:45.716032Z","submitted_at":"2023-10-10T16:47:29Z","title":"SWE-bench: Can Language Models Resolve Real-World GitHub Issues?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06770","snapshot_observed_at":"2026-08-16T05:24:23.952862Z","title":"Swe-bench: Can language models resolve real-world github issues? arXiv preprint arXiv:2310.06770, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.952862Z"},"links":{"cited_paper":"/paper/2310.06770","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:75db5a5d95264d6e2cc48e29a8544cf1cb0b49e9c48a11c97a6bfc7cdf654778","observation_id":"57f84f9d-1233-4249-b249-19b562a30063","resolution":{"observed_at":"2026-08-16T05:24:23.952862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:23.957606Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.957606Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:e04e0aab737de7bb54071a56adfb58bfc1157a17547092257bea9f6e85e695c7","observation_id":"c19e0a54-c25c-49a6-a347-d175c6fed756","resolution":{"observed_at":"2026-08-16T05:24:23.957606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09074","last_updated":"2024-06-12T08:55:13Z","snapshot_observed_at":"2026-08-16T14:26:51.543075Z","submitted_at":"2024-01-17T09:23:59Z","title":"Code Simulation Challenges for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09074","snapshot_observed_at":"2026-08-16T05:24:23.962035Z","title":"Code simulation challenges for large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.962035Z"},"links":{"cited_paper":"/paper/2401.09074","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:5bd7790ea1b1f5aec0b7a3f19c0847b5079d27debbeea446abeec0cabfe0d557","observation_id":"141ca28f-a327-43ed-9778-cd426aa09504","resolution":{"observed_at":"2026-08-16T05:24:23.962035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05519","last_updated":"2024-06-25T05:01:09Z","snapshot_observed_at":"2026-08-17T09:50:53.260956Z","submitted_at":"2023-09-11T15:02:25Z","title":"NExT-GPT: Any-to-Any Multimodal LLM","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05519","snapshot_observed_at":"2026-08-16T05:24:23.967149Z","title":"Next-gpt: Any-to-any multimodal llm","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.967149Z"},"links":{"cited_paper":"/paper/2309.05519","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:a8bf46707fef087bcc45172eda2ebb4c88b88640d14ab042816049cfe3bf526b","observation_id":"d610db86-53cd-48cd-a798-540ba969b815","resolution":{"observed_at":"2026-08-16T05:24:23.967149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:23.971558Z","title":"Autonomous chemical research with large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.971558Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:3a9aef20654c0f35243b786466773298bc0ed5ff403b407c12d2781a46856869","observation_id":"7c63d4b5-5046-4999-8eb3-38b3f2af4b69","resolution":{"observed_at":"2026-08-16T05:24:23.971558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:23.975819Z","title":"Measuring massive multitask language understanding","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.975819Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:7578612f29ea15c8f07a83fc7f374ed68aa54d04f8e7a8fad1a6728b943ebaf5","observation_id":"008508a2-4bf5-4e31-bd27-93b7c4a9fde1","resolution":{"observed_at":"2026-08-16T05:24:23.975819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.03551","last_updated":"2017-05-13T21:12:37Z","snapshot_observed_at":"2026-08-13T08:58:47.096400Z","submitted_at":"2017-05-09T21:35:07Z","title":"TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.03551","snapshot_observed_at":"2026-08-16T05:24:23.979969Z","title":"Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.979969Z"},"links":{"cited_paper":"/paper/1705.03551","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:aeb84401aa3e9a206f6c11bbd6002a8013ed00f2ddc98b976f95e014f3127b18","observation_id":"69e7d8be-71a5-4926-a1bd-67654b118682","resolution":{"observed_at":"2026-08-16T05:24:23.979969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03762","last_updated":"2023-08-10T14:24:37Z","snapshot_observed_at":"2026-08-16T15:14:17.402528Z","submitted_at":"2023-07-21T17:04:25Z","title":"GPT-4 Can't Reason","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03762","snapshot_observed_at":"2026-08-16T05:24:23.984370Z","title":"Gpt-4 can’t reason","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.984370Z"},"links":{"cited_paper":"/paper/2308.03762","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:716ac4a8ed775d65be46065d4b4557a5e8cc487d1cf83679856880ac979a1847","observation_id":"f2428573-fd22-40b5-b4be-678ee6373d6c","resolution":{"observed_at":"2026-08-16T05:24:23.984370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:23.988938Z","title":"Beyond the imitation game: Quantifying and extrapolating the capabilities of language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.988938Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:282a58df1fd3e388907dac4ebf8ffce7ac1e85dda9c7f835c4a23ebed1caa61f","observation_id":"dfd028dc-986f-460c-a034-26eed404c70d","resolution":{"observed_at":"2026-08-16T05:24:23.988938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:23.992976Z","title":"American invitational mathematics examination - aime","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.992976Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:41019cba7abe66bee7f4ccc5003272e68bfd8e69f5e64e96ba94410058658937","observation_id":"7af7b8ef-8ed3-49b7-a200-d7de92043545","resolution":{"observed_at":"2026-08-16T05:24:23.992976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.00110","last_updated":"2022-02-28T06:03:23Z","snapshot_observed_at":"2026-08-16T23:45:44.761660Z","submitted_at":"2021-08-31T23:21:12Z","title":"MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.00110","snapshot_observed_at":"2026-08-16T05:24:23.997133Z","title":"Minif2f: a cross-system benchmark for formal olympiad-level mathematics","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:23.997133Z"},"links":{"cited_paper":"/paper/2109.00110","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:d45be34c310e48b8220b1ac2c5eb2d79818151ddd900fc3cc1edeb8343c1fb5b","observation_id":"0968e1de-fc36-4ace-801e-d7ca73e6da77","resolution":{"observed_at":"2026-08-16T05:24:23.997133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12433","last_updated":"2023-02-24T03:28:46Z","snapshot_observed_at":"2026-08-19T15:00:47.908932Z","submitted_at":"2023-02-24T03:28:46Z","title":"ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12433","snapshot_observed_at":"2026-08-16T05:24:24.001350Z","title":"Proofnet: Autoformalizing and formally proving undergraduate-level mathematics","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.001350Z"},"links":{"cited_paper":"/paper/2302.12433","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:7707d3aba4051abf0ccb26b732bf3ba53398813eef96137fa3a6328aa889b347","observation_id":"8168e342-b4cb-4fde-85c5-0d208ab88d1c","resolution":{"observed_at":"2026-08-16T05:24:24.001350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07896","last_updated":"2024-10-10T13:23:49Z","snapshot_observed_at":"2026-08-17T23:25:07.877039Z","submitted_at":"2024-10-10T13:23:49Z","title":"Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines","version":1},"cited_work":{"arxiv_id":"2410.07896","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.07896","snapshot_observed_at":"2026-08-16T05:24:24.657903Z","title":"Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines","venue":"cs.AI","work_id":"bcf4caa4-d047-447d-b531-f604e6460a60","year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.005694Z"},"links":{"cited_paper":"/paper/2410.07896","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:a70d796c3377edff4943a02424ac38cdda7ad716b1cd8cf6f39e7fec0011027a","observation_id":"df63f32a-1318-4e12-a74f-fceca00a9e5c","resolution":{"observed_at":"2026-08-16T05:24:24.663958Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.235436Z","title":"Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791–4800, 2019","venue":null,"work_id":"05229c40-0f8d-4ca3-8b66-f54f0184c28a","year":2019},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.010162Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:7c8dbd9d4c61b7234822cf3a9718d8e854979220d546ed6ed3ad4a0d31ef4164","observation_id":"b9263058-8266-4b4e-914d-a0b8750e40e9","resolution":{"observed_at":"2026-08-16T05:24:25.240250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09110","last_updated":"2023-10-01T21:44:23Z","snapshot_observed_at":"2026-08-10T23:10:13.900680Z","submitted_at":"2022-11-16T18:51:34Z","title":"Holistic Evaluation of Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09110","snapshot_observed_at":"2026-08-16T05:24:24.018750Z","title":"Holistic evaluation of language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.018750Z"},"links":{"cited_paper":"/paper/2211.09110","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:dadc91d67404a808a2b0fed469ef47fa2449fddb60c89d87a5cbcf603b61c4c2","observation_id":"0ce24d1a-970a-41ea-a6bb-6f5aa27cf42e","resolution":{"observed_at":"2026-08-16T05:24:24.018750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06364","last_updated":"2023-09-18T14:23:02Z","snapshot_observed_at":"2026-08-07T12:51:50.861720Z","submitted_at":"2023-04-13T09:39:30Z","title":"AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06364","snapshot_observed_at":"2026-08-16T05:24:24.022914Z","title":"Agieval: A human-centric benchmark for evaluating foundation models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.022914Z"},"links":{"cited_paper":"/paper/2304.06364","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:19ebb83cc840467631ee54b7f1f96187016558747b914a89a5a419d51d23054f","observation_id":"72835dbc-ee36-4493-b095-d9e9e6bb973f","resolution":{"observed_at":"2026-08-16T05:24:24.022914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-16T05:24:24.027211Z","title":"Evaluating large language models trained on code","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.027211Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:8f376e135c82646860959b4481e599e293451d67e08e8853016365b2e37c2552","observation_id":"f8fbd26f-4229-42e4-855e-13f3355c7691","resolution":{"observed_at":"2026-08-16T05:24:24.027211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.031503Z","title":"ToxicChat: Unveiling hidden challenges of toxicity detection in real-world user-AI conversation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.031503Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:88006fc816df4f74216c106ce973d25a0e969575f7b4ae895c5cbe2488287d56","observation_id":"0d98c6df-bb4e-4c3f-bbbf-9bd2312cb5f8","resolution":{"observed_at":"2026-08-16T05:24:24.031503Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.212648Z","title":null,"venue":null,"work_id":"134edee8-4d7e-4abd-9b3b-d3dca0a62fa0","year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.035327Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:2a066ae0d1d5c74ab932258b3aa42020c6244844d8df7533add801ccbc4ee337","observation_id":"a3b3fe43-344a-4018-96a9-f0188ea6045e","resolution":{"observed_at":"2026-08-16T05:24:25.217321Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.039363Z","title":"Gonzalez, and Ion Stoica","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.039363Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:763a787f32fbe1f0cbb5ae6864fb1d13d52f63c2ccc6dc90bd3de4606b049944","observation_id":"ddb7d71c-9505-46cb-bbee-c152c95fa82d","resolution":{"observed_at":"2026-08-16T05:24:24.039363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.043431Z","title":"Hashimoto","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.043431Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:080ff3ece7228372f52769964288e2bd8d7991579ee0a9ed173b93e46788c582","observation_id":"ddfa2da4-2bde-4c81-a535-be5db0aa3194","resolution":{"observed_at":"2026-08-16T05:24:24.043431Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.047668Z","title":"Competition-level code generation with alphacode","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.047668Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:3174215a7d3e597d866ed2787b1feb00b2aae50186d101e3051c4692e2ef7a8e","observation_id":"b041c95b-eeee-4026-82fc-8d978048dd5e","resolution":{"observed_at":"2026-08-16T05:24:24.047668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02143","last_updated":"2024-06-04T05:49:50Z","snapshot_observed_at":"2026-08-19T03:41:12.644860Z","submitted_at":"2023-12-04T18:58:57Z","title":"Competition-Level Problems are Effective LLM Evaluators","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02143","snapshot_observed_at":"2026-08-16T05:24:24.051962Z","title":"Competition-level problems are effective llm evaluators","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.051962Z"},"links":{"cited_paper":"/paper/2312.02143","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:65a16569a6d62d8df5462381bd8c187d6dffa1934ca621fe0c6a1d72897be310","observation_id":"60c713aa-baef-43bb-99d5-af972c1769c2","resolution":{"observed_at":"2026-08-16T05:24:24.051962Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.05862","last_updated":"2022-04-12T15:02:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-12T15:02:38Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.05862","snapshot_observed_at":"2026-08-16T05:24:24.056333Z","title":"Training a helpful and harmless assistant with reinforcement learning from human feedback","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.056333Z"},"links":{"cited_paper":"/paper/2204.05862","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:f57423e58288b1b11e7de3db3ecd7c0c5affcb0de05ec6c6e4260c4b7e18d39d","observation_id":"4ac22620-077a-4524-929d-8c695c089975","resolution":{"observed_at":"2026-08-16T05:24:24.056333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.060715Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.060715Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:9a0f3469e728039ec9dcb755c5634a09e49cd0f6766a39009d9fdddaff32d113","observation_id":"f835f6b6-1622-49d7-9730-baf42c40272c","resolution":{"observed_at":"2026-08-16T05:24:24.060715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-16T05:24:24.064662Z","title":"Llama 2: Open foundation and fine-tuned chat models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.064662Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:3c4842d46385fde38de5304b1cd1d4b3f62c94d7e96384e520314d7876eada51","observation_id":"f92f8b6e-e031-4894-9a56-958e406caaa3","resolution":{"observed_at":"2026-08-16T05:24:24.064662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.069120Z","title":"Solving quantitative reasoning problems with language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.069120Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:8606f2f44a2b00006d107ab720dc51df27ec6aafe261f3fa471be25cfabdc5bc","observation_id":"25eda5ea-ed66-4c35-9eb8-f11ec9157c2f","resolution":{"observed_at":"2026-08-16T05:24:24.069120Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.073101Z","title":"Chain-of-thought prompting elicits reasoning in large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.073101Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:ecb167db26f88d963dea3caee40b0782898fa4080fdeae359be1be7e9ed79dcf","observation_id":"5bc81cb8-054d-46d2-85e3-0b5d0dc96a78","resolution":{"observed_at":"2026-08-16T05:24:24.073101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00114","last_updated":"2021-11-30T21:32:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-11-30T21:32:46Z","title":"Show Your Work: Scratchpads for Intermediate Computation with Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00114","snapshot_observed_at":"2026-08-16T05:24:24.077169Z","title":"Show your work: Scratchpads for intermediate computation with language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.077169Z"},"links":{"cited_paper":"/paper/2112.00114","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:205144f96305ece6701e3ad38ca4a469eb7dd66410868cf882977b5465bf52fc","observation_id":"b73ec3cf-7691-429a-a4d0-fd0815553446","resolution":{"observed_at":"2026-08-16T05:24:24.077169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11171","last_updated":"2023-03-07T17:57:37Z","snapshot_observed_at":"2026-08-16T01:49:22.176843Z","submitted_at":"2022-03-21T17:48:52Z","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11171","snapshot_observed_at":"2026-08-16T05:24:24.081877Z","title":"Self-consistency improves chain of thought reasoning in language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.081877Z"},"links":{"cited_paper":"/paper/2203.11171","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:e6036f63567fec715f092f243311c5be1b599bbfcd4006ffda7707cea40a7a0c","observation_id":"93d41ad2-bd9e-41ca-8c2c-9b6e60c85b36","resolution":{"observed_at":"2026-08-16T05:24:24.081877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.143660Z","title":"Unicorn on rainbow: A universal commonsense reasoning model on a new multitask benchmark","venue":null,"work_id":"12c41a14-75ce-4b1e-a866-5a6ce13a0c56","year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.086300Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:c28fdff3b32eab9c10ea27f2a0d3d1b0f32c3460453662d9e0fa1f2ce7ad8583","observation_id":"b0599313-69bf-4bbf-8d09-7fd17d0d4a2f","resolution":{"observed_at":"2026-08-16T05:24:25.148206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.090364Z","title":"Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.090364Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:184d4888e14a88a3b731508149d4a3e37e79a9dea106e4e9b68abd8ca6bee456","observation_id":"9e703f82-0379-46be-befa-c1b863d42c53","resolution":{"observed_at":"2026-08-16T05:24:24.090364Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-14T02:43:01.480086Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-16T05:24:24.094801Z","title":"Training verifiers to solve math word problems","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.094801Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:18c4238ed652788830c66e6db0b5d86bf9f5a872331b919b4a6f16e1f3e64310","observation_id":"9e35e3b2-2dfd-4eea-8f7a-9dc8a475b363","resolution":{"observed_at":"2026-08-16T05:24:24.094801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.03874","last_updated":"2021-11-08T21:30:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-03-05T18:59:39Z","title":"Measuring Mathematical Problem Solving With the MATH Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.03874","snapshot_observed_at":"2026-08-16T05:24:24.099211Z","title":"Measuring mathematical problem solving with the math dataset","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.099211Z"},"links":{"cited_paper":"/paper/2103.03874","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:df12d355994bad26a3321cae35c37b77638df4e1ee99071c6a3f3813c0c5f9d4","observation_id":"438f2dd6-5e01-4c05-88bc-d522fbb8d94d","resolution":{"observed_at":"2026-08-16T05:24:24.099211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00836","last_updated":"2024-03-31T01:02:55Z","snapshot_observed_at":"2026-08-18T13:31:30.534326Z","submitted_at":"2023-10-02T01:00:50Z","title":"Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00836","snapshot_observed_at":"2026-08-16T05:24:24.103718Z","title":"Towards logiglue: A brief survey and a benchmark for analyzing logical reasoning capabilities of language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.103718Z"},"links":{"cited_paper":"/paper/2310.00836","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:7d186601166c7b9f162131cabeca4eb0d583dbb4f9a0d7c20cd20cb0ca3e4e80","observation_id":"1e878af2-c98c-4187-abef-4b609cdb1a22","resolution":{"observed_at":"2026-08-16T05:24:24.103718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.00840","last_updated":"2024-10-11T20:08:54Z","snapshot_observed_at":"2026-08-16T16:35:12.787222Z","submitted_at":"2022-09-02T06:50:11Z","title":"FOLIO: Natural Language Reasoning with First-Order Logic","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.00840","snapshot_observed_at":"2026-08-16T05:24:24.108217Z","title":"Folio: Natural language reasoning with first-order logic","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.108217Z"},"links":{"cited_paper":"/paper/2209.00840","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:64082dfdb5cba12dfe3bddb647413c7a7cbe2c3989c233b0d3d500cd91772b93","observation_id":"44a4cdb4-c39f-4fe2-afe6-11d21366a1c2","resolution":{"observed_at":"2026-08-16T05:24:24.108217Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17169","last_updated":"2024-10-07T03:48:18Z","snapshot_observed_at":"2026-08-19T03:07:13.685060Z","submitted_at":"2024-06-24T23:02:56Z","title":"Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17169","snapshot_observed_at":"2026-08-16T05:24:24.112681Z","title":"Multi-logieval: Towards evaluating multi-step logical reasoning ability of large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.112681Z"},"links":{"cited_paper":"/paper/2406.17169","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:24edad1568a90795eded8a1afb7894923d3b7baa255f42592a19ac6f012dae3f","observation_id":"21030ce5-2cc6-421a-bfce-18ab298eb529","resolution":{"observed_at":"2026-08-16T05:24:24.112681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15522","last_updated":"2024-06-06T08:15:54Z","snapshot_observed_at":"2026-08-16T13:58:22.325772Z","submitted_at":"2024-04-23T21:08:49Z","title":"LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15522","snapshot_observed_at":"2026-08-16T05:24:24.117256Z","title":"Towards systematic evaluation of logical reasoning ability of large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.117256Z"},"links":{"cited_paper":"/paper/2404.15522","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:ddf2ca9f45061a4c92587103c11e305bea80d56cfcb4a97060f70d11da3c0edc","observation_id":"5a67629b-de4b-4984-99ee-a77bf9081f80","resolution":{"observed_at":"2026-08-16T05:24:24.117256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.08124","last_updated":"2020-07-16T05:52:16Z","snapshot_observed_at":"2026-08-18T19:00:40.885312Z","submitted_at":"2020-07-16T05:52:16Z","title":"LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.08124","snapshot_observed_at":"2026-08-16T05:24:24.121483Z","title":"Logiqa: A challenge dataset for machine reading comprehension with logical reasoning","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.121483Z"},"links":{"cited_paper":"/paper/2007.08124","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:e101031865a27d612fbf1fa5784ac1d4d9bd100b2afff977fde5537e8ef2135b","observation_id":"9e96e03c-3d8e-4901-8b37-31ea7de7a7d6","resolution":{"observed_at":"2026-08-16T05:24:24.121483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.13048","last_updated":"2021-06-03T19:15:08Z","snapshot_observed_at":"2026-08-16T18:56:15.812056Z","submitted_at":"2020-12-24T00:55:46Z","title":"ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.13048","snapshot_observed_at":"2026-08-16T05:24:24.125759Z","title":"Proofwriter: Generating implications, proofs, and abductive statements over natural language","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.125759Z"},"links":{"cited_paper":"/paper/2012.13048","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:6c9a34c01ab358a6c99d46baee2dcf32b0c0acbcec07ea28d62964e2c2f4e766","observation_id":"65a974d6-3fc2-417a-9274-bc77874eec9c","resolution":{"observed_at":"2026-08-16T05:24:24.125759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.130187Z","title":"From recognition to cognition: Visual commonsense reasoning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.130187Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:66b7ba93d416373a34ae3d5f7ecaac4de450bd5145bd4c4a107835e8976daab4","observation_id":"4118731a-03fd-4609-a1d2-deb5cda53238","resolution":{"observed_at":"2026-08-16T05:24:24.130187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.134183Z","title":"Next-qa: Next phase of question- answering to explaining temporal actions","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.134183Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:2339fe57f3aed735dbbd92428ec1dbf2453a82442624ce1bf3e96d276ec0156a","observation_id":"1e7a25c8-04d6-47b6-89d4-1b1fe825032d","resolution":{"observed_at":"2026-08-16T05:24:24.134183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.138065Z","title":"Learn to explain: Multimodal reasoning via thought chains for science question answering","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.138065Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:8e63473758bdab9749a199d7b90e9bcf04df52d9e53e20d86a0bf280e18b42e1","observation_id":"748c1dfb-19a4-4eff-be5c-ede5af95d6fc","resolution":{"observed_at":"2026-08-16T05:24:24.138065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04046","last_updated":"2025-03-02T23:24:43Z","snapshot_observed_at":"2026-08-16T13:45:32.468892Z","submitted_at":"2024-06-06T13:15:37Z","title":"ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints","version":3},"cited_work":{"arxiv_id":"2406.04046","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.04046","snapshot_observed_at":"2026-08-16T05:24:24.411956Z","title":"ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints","venue":"cs.CC","work_id":"610bb0ac-db04-430c-8da0-1c957a46bb2f","year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.142035Z"},"links":{"cited_paper":"/paper/2406.04046","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:5023540b87a0b8530376e44ab36d0bce9d2a4dbc7b1bc443972fd623f515fdcb","observation_id":"ad2b1d09-f699-438a-bd8e-921e430017ed","resolution":{"observed_at":"2026-08-16T05:24:24.418464Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.094726Z","title":"Axiomatic set theory","venue":null,"work_id":"c29e3e21-ec76-49ce-84ce-94334461916a","year":2012},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.146249Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:83ac660733ee98803c9365de350856416500f15af9510b488bf1db9ca7b4616d","observation_id":"52b8bc4f-de80-4831-9396-738bc8de3dc6","resolution":{"observed_at":"2026-08-16T05:24:25.099133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.081321Z","title":"Principles of mathematics","venue":null,"work_id":"50fbff2b-31ee-47c4-a1d0-b49537da45c7","year":2020},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.150472Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:470dd66d3a25a65482937ba877d32f55accc9b2452ed62300eafaeb3cf2dbff5","observation_id":"5cf32f9d-a120-4cb4-b245-3b25bb9c0ecf","resolution":{"observed_at":"2026-08-16T05:24:25.085605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.067386Z","title":"The feynman lectures on physics","venue":null,"work_id":"788b42cd-2fc1-4592-a5f9-900c56220bd0","year":1963},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.154695Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:8c22ecbc9f1520d6e18a2a9da625f7ed130e3965151706fbd75389666998c12a","observation_id":"a24eb9b7-5aea-4546-ad41-51544772c6e6","resolution":{"observed_at":"2026-08-16T05:24:25.071956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.053029Z","title":"The game of life","venue":null,"work_id":"d54c1d74-b13a-46fe-ace2-028bc7df17ad","year":1970},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.158792Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:22ea39c50f1f6dc3155045c5c3bc1b09441d0b388b5b490abd1826f300702089","observation_id":"3e538da2-7a11-4ee6-ae9c-a34a3bb079fb","resolution":{"observed_at":"2026-08-16T05:24:25.057146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.162738Z","title":"The lean 4 theorem prover and programming language","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.162738Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:0fae6e5cb16420daa97e5786c80b3cf148be5c857bf6317b130ebcf66b721240","observation_id":"9662313a-132c-4b6c-a86b-66f69ba20c6c","resolution":{"observed_at":"2026-08-16T05:24:24.162738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.031226Z","title":"On computable numbers, with an application to the entschei- dungsproblem","venue":null,"work_id":"545bf5dd-f7b0-4a12-be59-fad3102a4ccd","year":1936},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.166761Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:a60ff8aded2cc2a9231f1405d0220fbe09b0b3faca45e2581a2c2f9908dd7250","observation_id":"cddb9a64-7383-4289-893e-e504dc4b334a","resolution":{"observed_at":"2026-08-16T05:24:25.035541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.017883Z","title":null,"venue":null,"work_id":"64176867-c315-4890-a60a-aa81e886fef5","year":1971},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.171119Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:c1d71bd581ad6fb3099e28285d049c21750a1c216e512afa18807b92e955a97d","observation_id":"2af80b93-be6f-4b90-84f8-7862beaf8e01","resolution":{"observed_at":"2026-08-16T05:24:25.022090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:25.004474Z","title":"Universality of tag systems with p = 2","venue":null,"work_id":"94839ff0-c432-4162-b7e4-b7ae94472e59","year":1964},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.175377Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:a2ef8b1e94b24e9a67d4f5d4dbf92ff05c49ff0794b3f7100c41f60d97b12d01","observation_id":"3d232c0b-da39-40c1-b4b7-83aa4488dc0e","resolution":{"observed_at":"2026-08-16T05:24:25.009045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.990948Z","title":"Formal reductions of the general combinatorial decision problem","venue":null,"work_id":"0e92233a-b6a0-4589-b9ff-a4f35554fb95","year":1943},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.179495Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:7f789c54941fa2d8930b1e4b04f620b40f08da75ea10c852503890064267189e","observation_id":"3c5f4daf-bc32-4aba-a13e-76111a91f2e8","resolution":{"observed_at":"2026-08-16T05:24:24.995374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.20050","last_updated":"2023-05-31T17:24:00Z","snapshot_observed_at":"2026-08-17T09:42:34.746112Z","submitted_at":"2023-05-31T17:24:00Z","title":"Let's Verify Step by Step","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.20050","snapshot_observed_at":"2026-08-16T05:24:24.183883Z","title":"Let’s verify step by step","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.183883Z"},"links":{"cited_paper":"/paper/2305.20050","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:b6700d9c83f3c4f35301d8dee76f1fb84efeba2545ebde888620c6775439b26e","observation_id":"227d5f18-6326-4f5b-87b3-09f1b512d2ea","resolution":{"observed_at":"2026-08-16T05:24:24.183883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.188460Z","title":"Mmlu-pro: A more robust and challenging multi-task language understanding benchmark","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.188460Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:6c4f19455135739dcfe29d98206246c97456f66ea4c1cceed903bf74d10fcc91","observation_id":"0b0e0fda-8985-47c0-9c72-57fd248e86c6","resolution":{"observed_at":"2026-08-16T05:24:24.188460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-16T05:24:24.192514Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.192514Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:b3460350f304f4a47b86f245d88c6cb7ab027ea1e50512899d69f3e2530bca52","observation_id":"bc814878-8adf-43e5-97ef-bd22a23dc4d1","resolution":{"observed_at":"2026-08-16T05:24:24.192514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-08-17T18:50:07.059564Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-16T05:24:24.196881Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.196881Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:6ca02b8c069afef551b8e33e935796680fad762b41bbca1ea568de3669539e2c","observation_id":"741b2e20-46bc-4ebd-8437-496385069bb0","resolution":{"observed_at":"2026-08-16T05:24:24.196881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12191","last_updated":"2024-10-03T15:54:49Z","snapshot_observed_at":"2026-08-06T05:35:29.109022Z","submitted_at":"2024-09-18T17:59:32Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12191","snapshot_observed_at":"2026-08-16T05:24:24.201184Z","title":"Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.201184Z"},"links":{"cited_paper":"/paper/2409.12191","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:d2ce5646c9c144356eb3415345d1891d13621aee1e4d4a036195cd8829221eca","observation_id":"95d1352e-653f-45ce-8449-b75532c886ce","resolution":{"observed_at":"2026-08-16T05:24:24.201184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.205393Z","title":"Qvq: To see the world with wisdom, December 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.205393Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:fd0a6b7624f78de1f22562b77765a73c1d29e14d7d81065afe330205e765e680","observation_id":"4bb87cb8-6a67-4f4a-917d-9afa40479f92","resolution":{"observed_at":"2026-08-16T05:24:24.205393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19786","last_updated":"2025-03-25T15:52:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-25T15:52:34Z","title":"Gemma 3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19786","snapshot_observed_at":"2026-08-16T05:24:24.209191Z","title":"Gemma 3 technical report","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.209191Z"},"links":{"cited_paper":"/paper/2503.19786","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:9f56df18e90bb18d60bfbb5bbf8f9b4305150cab47eba16736a95bf5a709cf39","observation_id":"e3ba6691-c3f5-4467-8849-fed18d4638e0","resolution":{"observed_at":"2026-08-16T05:24:24.209191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.959016Z","title":"Sky-t1: Train your own o1 preview model within $450","venue":null,"work_id":"8bc12c04-71e1-453a-b6d2-18eb2f1fa634","year":2025},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.213459Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:6289aceeb1d1f9e9796673d211e12886acf5e1e5bbb22b1560bf1c7f980a787d","observation_id":"e44ab2b8-0002-45aa-a210-c81cc21e9f07","resolution":{"observed_at":"2026-08-16T05:24:24.963860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.944747Z","title":"Gemini 2.5 pro, 2025","venue":null,"work_id":"19b0ae96-cfe4-41b3-b440-19dba9627cfa","year":2025},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.217596Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:5d447b485827bd29bead67c2b7ef970775dcfeee5cf19ccd052fe41e3e537ca7","observation_id":"8ed19abe-d9ca-4b92-bebc-87cebc911ecb","resolution":{"observed_at":"2026-08-16T05:24:24.949008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.930320Z","title":"Grok-3, 2025","venue":null,"work_id":"80ca4873-354e-47ff-9a50-64101117ea04","year":2025},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.221556Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:2497f57b6a50651e3c82eed456431855f4167dbcf353cd1d64963946e8d95165","observation_id":"473b500a-e1e4-4672-80a3-5e3f981c6f00","resolution":{"observed_at":"2026-08-16T05:24:24.935020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.916140Z","title":"Claude 3.7 sonnet thinking, 2025","venue":null,"work_id":"1426010c-8b14-41a7-9732-b0c329c8045b","year":2025},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.225579Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:943b6d6d9dbf8d7201cb45436d343adece83cd06eb0fe8e231c69029fbb8a49f","observation_id":"0e56f3bc-62e1-456a-8d02-c90896a9e67d","resolution":{"observed_at":"2026-08-16T05:24:24.920671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.901849Z","title":"Doubao 1.5 pro, 2025","venue":null,"work_id":"ab50b082-7366-40e8-8e9e-5683586eaf3a","year":2025},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.229764Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:52e7967ebb2bd7a199156b709b8462ed158eb91f8e3d49fd8c5e05ebd0d85bf5","observation_id":"a1b1f9ba-dfed-4ac8-8038-99cdff12c5bd","resolution":{"observed_at":"2026-08-16T05:24:24.906562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.887807Z","title":"Openai o1 system card, Sep","venue":null,"work_id":"84cdb004-611b-47d4-97df-2834728128ce","year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.233656Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:d4266bd38fe3af0a934fc329b1a7debc1849a3e0d7dc45e1726d08c3f850e0c1","observation_id":"00372d6b-5b30-43a3-8df7-53fa95a942ae","resolution":{"observed_at":"2026-08-16T05:24:24.892734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.237386Z","title":"Transformers: State- of-the-art natural language processing","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.237386Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:ba3061abb8760f3992e78608b76fbc278744a795fd4fc00521eb8f2ec7449906","observation_id":"d550bf3d-3e79-49a1-a2cc-b02c2ff21db7","resolution":{"observed_at":"2026-08-16T05:24:24.237386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.241422Z","title":"Gonzalez, Hao Zhang, and Ion Stoica","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.241422Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:1cba246d37fd71cd44b8c15d0d5d8e54778daeba3f954281712bdc7b11929d60","observation_id":"a00b2724-f417-45a8-b23d-80344401f383","resolution":{"observed_at":"2026-08-16T05:24:24.241422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07682","last_updated":"2022-10-26T05:06:24Z","snapshot_observed_at":"2026-08-17T00:14:01.413100Z","submitted_at":"2022-06-15T17:32:01Z","title":"Emergent Abilities of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07682","snapshot_observed_at":"2026-08-16T05:24:24.245638Z","title":"Emergent abilities of large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.245638Z"},"links":{"cited_paper":"/paper/2206.07682","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:4a97d5c3e8a94ccd991fc23d62e6cec6488cd2e4cc890dccee9e7464f0889f5e","observation_id":"2cb08eac-a922-4a33-894a-e8f266ac8fc6","resolution":{"observed_at":"2026-08-16T05:24:24.245638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19393","last_updated":"2025-03-01T06:07:39Z","snapshot_observed_at":"2026-08-17T11:00:39.333660Z","submitted_at":"2025-01-31T18:48:08Z","title":"s1: Simple test-time scaling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19393","snapshot_observed_at":"2026-08-16T05:24:24.250074Z","title":"s1: Simple test-time scaling","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.250074Z"},"links":{"cited_paper":"/paper/2501.19393","citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:c6353bfe8e4ce3fba886c431f5012412a6fcc0d4acb9c401d61070191abce6d7","observation_id":"a757518a-1f11-4db0-a5c3-de265cc0ce88","resolution":{"observed_at":"2026-08-16T05:24:24.250074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.856176Z","title":null,"venue":null,"work_id":"b8dad5f8-5732-4fe3-b0bf-8331bbb445fc","year":null},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.254417Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:6bfc4a3e6ef1e56ef53f0493fd1a4243ae452134a438ddaa518c3ccd2850556f","observation_id":"82b116c5-0a04-4d18-b3a2-2b68e31ac268","resolution":{"observed_at":"2026-08-16T05:24:24.860691Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.841780Z","title":null,"venue":null,"work_id":"fc80230a-8abd-4793-b34d-1a0bee6cc26c","year":null},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.258815Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:7c878828bfc3d755321bb4da428c8d9646df1cce0b4f351e38020bac74018600","observation_id":"f0778518-0310-42a1-a0de-a5735a80e048","resolution":{"observed_at":"2026-08-16T05:24:24.846062Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.827609Z","title":null,"venue":null,"work_id":"02693095-7415-4ab5-96c8-f329cad8b784","year":null},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.263118Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:10e9b5f31677b3b96de9857a6c78cba4b14ff15b852e3563fd4ec4c624ec17d7","observation_id":"ed0085b0-a9f5-47d0-a735-76b78afbf756","resolution":{"observed_at":"2026-08-16T05:24:24.831941Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.813846Z","title":"• If S′ = 1, the next state isQi1","venue":null,"work_id":"fe4701ab-88b3-45f2-9036-447816707be1","year":2024},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.267897Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:b830fb20be1c9c58b7b6c383e4e4e9b66e9045545cb7f34d1d5a287f654182dc","observation_id":"8972f39f-8816-44b9-ab7c-acedc965c993","resolution":{"observed_at":"2026-08-16T05:24:24.818121Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.799498Z","title":null,"venue":null,"work_id":"dc2d8829-1e7e-4d1d-91df-a8219ef1f6f0","year":null},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.272331Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:ecc8f7f3dc914729f097e08854f7c663fced0ce8df5c60649dc8bb2748f6ccb5","observation_id":"e0e0ea02-38c7-4b63-aef9-eab2bdcd0ac5","resolution":{"observed_at":"2026-08-16T05:24:24.804132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:24:24.785333Z","title":null,"venue":null,"work_id":"26fe3456-ae92-4125-a645-20da1a3c4d9f","year":2000},"citing_paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-16T05:24:24.276508Z"},"links":{"citing_paper":"/paper/2504.20771"},"observation_digest":"sha256:0409906e6b51d2fe2f7892dacb8e9a329066d30f44f85ef02f05c551dfb59f01","observation_id":"7b693ade-79ba-458c-819e-9fa314edcf31","resolution":{"observed_at":"2026-08-16T05:24:24.789904Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.20771","last_updated":"2025-05-19T03:55:13Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T02:03:01.058892Z","submitted_at":"2025-04-29T13:52:47Z","title":"Computational Reasoning of Large Language Models"},"reference_resolution":{"displayed":79,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":60,"verified_exact":2,"verified_fuzzy":15},"total_outbound_references":79},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2504.20771."}