{"as_of":"2026-08-07T19:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ec0afe19019dc330787047cb4ce86074c4e28e7afb76b1faddf1a11e8a388be","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:12:12.638442Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2507.11423/citation-record","integrity":"/paper/2507.11423/integrity","json":"/paper/2507.11423/citation-record.json","paper":"/paper/2507.11423"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:10.003644Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.003644Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:a0b0ed3c031fc285a647b36b89aaa09109dacb25888a1ae75756350db2ae0307","observation_id":"80fa1598-2438-4c1b-a255-6913bf0c93b6","resolution":{"observed_at":"2026-08-06T17:12:10.003644Z","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":"2026-08-06T17:12:10.081942Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.081942Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:e693a4102a3721319866b01a7691ac5b950ea9fb17e29905a29693da2f017729","observation_id":"7912f430-77f1-4414-a777-93539f8fe85d","resolution":{"observed_at":"2026-08-06T17:12:10.081942Z","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":"2026-08-06T17:12:15.639678Z","title":"Hewett, Mojan Javaheripi, Piero Kauffmann, James R","venue":null,"work_id":"76789f08-ea78-466e-9d61-3123cb92160d","year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.179249Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:9b0041e4bebd6422569b5e9ba251ec8e9682da8d1c48b8aa1409afc447af976a","observation_id":"1b46ae84-0625-4f4a-9832-1137c4f1e8cb","resolution":{"observed_at":"2026-08-06T17:12:15.747712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:12:10.259368Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.259368Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:e8f0c62a8ed54176a87c58b828c47f1416b41bd3acac2b05a0c689d7c5579684","observation_id":"d3e73f11-bd35-4cd6-a167-823c9e5d9a6d","resolution":{"observed_at":"2026-08-06T17:12:10.259368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21787","last_updated":"2024-12-30T19:03:24Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:57:25Z","title":"Large Language Monkeys: Scaling Inference Compute with Repeated Sampling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21787","snapshot_observed_at":"2026-08-06T17:12:10.335440Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.335440Z"},"links":{"cited_paper":"/paper/2407.21787","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:73d6e1c19b026424c65d92db2718a759fc63835a972476f0bac45115e09e958b","observation_id":"6cf7ede1-3445-48b1-b5ee-49a38fd7f672","resolution":{"observed_at":"2026-08-06T17:12:10.335440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12007","last_updated":"2025-02-08T09:21:17Z","snapshot_observed_at":"2026-07-06T18:47:21.527912Z","submitted_at":"2024-06-16T03:29:28Z","title":"People will agree what I think: Investigating LLM's False Consensus Effect","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12007","snapshot_observed_at":"2026-08-06T17:12:10.435494Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.435494Z"},"links":{"cited_paper":"/paper/2407.12007","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:1eb645f9a1770df67bd5a14cb14a6909d238391f8ad99358412c36d57a16d8c9","observation_id":"05e0cbc9-c1a8-4fa1-bed3-57aeca1a56fd","resolution":{"observed_at":"2026-08-06T17:12:10.435494Z","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":"2026-08-07T01:45:38.840969Z","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":"2026-08-06T17:12:10.537779Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.537779Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:f1c7c9af4c258714131961ba436187abcf642f09e537b295ced194ee7a3f20b4","observation_id":"043c324a-8bea-4184-8cd7-1e7dcf495a3b","resolution":{"observed_at":"2026-08-06T17:12:10.537779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.00445","last_updated":"2024-04-11T16:49:57Z","snapshot_observed_at":"2026-08-03T22:40:56.268644Z","submitted_at":"2023-11-01T11:13:06Z","title":"A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.00445","snapshot_observed_at":"2026-08-06T17:12:10.620274Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.620274Z"},"links":{"cited_paper":"/paper/2311.00445","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:3c3a29e9300092741bb626ee085f2411e07f87ef027ffbd9bf7cb497fb083843","observation_id":"45f56f5b-fc5a-493f-938f-548f4dc37a86","resolution":{"observed_at":"2026-08-06T17:12:10.620274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-06T17:12:10.704936Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.704936Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:2350da886daab888ad5cced1d841e615713710b550ad5bdbad10b3bcef4eb646","observation_id":"bb596875-2202-47a2-90d9-9750964e7378","resolution":{"observed_at":"2026-08-06T17:12:10.704936Z","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":"2026-08-06T17:12:10.804850Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.804850Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:b66434947432d2536dade076e1c3db9db022fbe577368aa90b4d40a48b290cb4","observation_id":"06dccd0e-48bd-4e19-b6bb-c44b11409ec6","resolution":{"observed_at":"2026-08-06T17:12:10.804850Z","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":"10.1007/s13218-019-00599-w","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:12.949300Z","title":null,"venue":null,"work_id":"9a390508-afa4-49f9-855d-52896570efa9","year":2019},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:10.952812Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:d3a5a6d03c86fc9c0451cd268c2b011daaaf0f3c4870f852d0f1d555907809a7","observation_id":"79db456b-bdc2-4c2b-bc50-f999142a8b93","resolution":{"observed_at":"2026-08-06T17:12:13.023852Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:12:15.338925Z","title":null,"venue":null,"work_id":"c0d27caa-6992-41f3-8f69-10c93f3d3487","year":2022},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.051997Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:c9ced30a92648b306ab3922f5ce99f2411af834a7570e51240249aceb3da8f91","observation_id":"b8d8e523-b589-4a19-b280-f9a1e00e6955","resolution":{"observed_at":"2026-08-06T17:12:15.511447Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:12:15.019001Z","title":null,"venue":null,"work_id":"edd97d7d-1e06-4da5-865d-3fdc0ef0b388","year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.142487Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:c7fe13315d51636865ce48857c47ab77d1d6f881c048d5bf5ce6402330103821","observation_id":"f194b4cf-04e5-4daa-ae52-12397f3ee7e5","resolution":{"observed_at":"2026-08-06T17:12:15.199994Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01100","last_updated":"2025-07-15T01:14:25Z","snapshot_observed_at":"2026-08-07T15:35:39.413072Z","submitted_at":"2025-02-03T06:44:49Z","title":"ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01100","snapshot_observed_at":"2026-08-06T17:12:11.173121Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.173121Z"},"links":{"cited_paper":"/paper/2502.01100","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:68e2babc73ba2cb355ece2e868a91c66b49f970587d79331115ae5baa4d1e0f8","observation_id":"cb1fb8de-e48b-4175-b802-3def664383a9","resolution":{"observed_at":"2026-08-06T17:12:11.173121Z","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":"2026-08-06T17:12:14.751416Z","title":null,"venue":null,"work_id":"37379e86-04d9-419f-8db4-e35a6cd8c59a","year":2017},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.252368Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:7c2d30e200ae4852cd991f50647632ec740e0b034c9bee95fa9163332287fc9d","observation_id":"fb534dc7-09db-4d84-8ffd-a8d40b4f78b5","resolution":{"observed_at":"2026-08-06T17:12:14.864125Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13638","last_updated":"2023-09-24T13:35:28Z","snapshot_observed_at":"2026-07-06T16:22:58.752949Z","submitted_at":"2023-09-24T13:35:28Z","title":"Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.13638","snapshot_observed_at":"2026-08-06T17:12:11.347497Z","title":"Thomas McCoy, Shunyu Yao, Dan Friedman, Matthew Hardy, and Thomas L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.347497Z"},"links":{"cited_paper":"/paper/2309.13638","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:9dda54193ce695f7f7816a652196c37780380a4db1e301725a560e489f967f71","observation_id":"3b356d2d-d71a-4936-b246-4607be5c5755","resolution":{"observed_at":"2026-08-06T17:12:11.347497Z","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":"2026-08-06T17:12:11.433051Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.433051Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:dd31b4ec8bd189c4abe504d335becf4619f597c68b4328613d8e54c6861e5581","observation_id":"44cb72d4-9ef9-4f91-b7b0-8a93257b26ce","resolution":{"observed_at":"2026-08-06T17:12:11.433051Z","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":"2026-08-06T17:12:14.444079Z","title":null,"venue":null,"work_id":"95df9fb3-19a7-48d0-aaa8-7df091ee4708","year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.519777Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:697a98429c61a373a52daaabe5d600555f9a878cd6dcfae3c581050269026f19","observation_id":"cbaddd2a-73e2-4f9b-a4bb-59294dc5c35c","resolution":{"observed_at":"2026-08-06T17:12:14.594062Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:12:14.286815Z","title":null,"venue":null,"work_id":"83641c56-a755-4eb9-a03b-0f6693e8a5ee","year":2004},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.572072Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:dd3afc39d8fede4a20418034ffa5956fd8ad9969345fc698ce13e5c62d4adc4a","observation_id":"095a10d6-6a97-48d5-b7f0-c37129b20106","resolution":{"observed_at":"2026-08-06T17:12:14.365462Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.18070","last_updated":"2024-06-17T15:08:05Z","snapshot_observed_at":"2026-07-06T17:23:14.388964Z","submitted_at":"2024-01-31T18:48:20Z","title":"Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.18070","snapshot_observed_at":"2026-08-06T17:12:11.672549Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.672549Z"},"links":{"cited_paper":"/paper/2401.18070","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:42dd33fbc1664ce53bb76c6aa500cbd926193ba553a6912ea6e23ec0dd55a33c","observation_id":"443cc4b1-0fde-42d1-96f3-1fe20b333c47","resolution":{"observed_at":"2026-08-06T17:12:11.672549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01126","last_updated":"2025-02-03T07:43:27Z","snapshot_observed_at":"2026-07-06T20:30:08.210991Z","submitted_at":"2025-02-03T07:43:27Z","title":"Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.01126","snapshot_observed_at":"2026-08-06T17:12:11.740039Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.740039Z"},"links":{"cited_paper":"/paper/2502.01126","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:27310dd70aa09d0b3e647657823bd759170b036b22f15e884a19119743c2ab01","observation_id":"43d71121-9bf3-4a26-abc6-13a748106daf","resolution":{"observed_at":"2026-08-06T17:12:11.740039Z","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":"2026-08-06T17:12:11.770104Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.770104Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:c8f51fb13239482bc022ab56c4dab676346ef318874a977309f54a23238f98cd","observation_id":"e6d8643b-e552-4196-8d9d-daf544af67e5","resolution":{"observed_at":"2026-08-06T17:12:11.770104Z","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":"2026-08-06T17:12:14.181058Z","title":null,"venue":null,"work_id":"74a6c4f2-2657-4a98-8b7c-8bf29d05ae9b","year":2025},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.829201Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:0e26929cfde9f3aa3735a7acf40d4bee83fe2184b0203b732f420df51cf13fd6","observation_id":"86bc81b9-8e51-45a4-8e6e-aa7fb88592e0","resolution":{"observed_at":"2026-08-06T17:12:14.224698Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:12:11.948355Z","title":"Johnson-Laird","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:11.948355Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:ae63f305fadea24e5610ccaf273f14cf6ad956326286d2f61768d3d96f6b6702","observation_id":"380bd802-0f95-4fde-a777-0e94aacfb1a9","resolution":{"observed_at":"2026-08-06T17:12:11.948355Z","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":"2026-08-06T17:12:12.031545Z","title":"Le, Ed H","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.031545Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:a169e8e05893376ec1261313fcd826399ce70ba6e3c762d5171c504757e50755","observation_id":"167f74af-e83c-4ba9-949d-1452e1541c93","resolution":{"observed_at":"2026-08-06T17:12:12.031545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10200","last_updated":"2024-05-23T20:53:59Z","snapshot_observed_at":"2026-07-06T17:30:47.845775Z","submitted_at":"2024-02-15T18:55:41Z","title":"Chain-of-Thought Reasoning Without Prompting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10200","snapshot_observed_at":"2026-08-06T17:12:12.085092Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.085092Z"},"links":{"cited_paper":"/paper/2402.10200","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:415ad507ae3f7476355148e5c52a48c5262fd16ef85e270868c277b69ff5c23b","observation_id":"a887bf77-e9c2-4fa3-9385-5d831ae220c6","resolution":{"observed_at":"2026-08-06T17:12:12.085092Z","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":"2026-08-06T17:12:14.007897Z","title":"Chi, Quoc V","venue":null,"work_id":"7ee90a56-6372-4317-aab7-4b68b8acd6c0","year":2022},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.154286Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:7b807d71425c7a1ba09700d0514fd6b9bce527d213b8b58c77dd5a8cd22c59c8","observation_id":"0c66d500-88b2-4e90-94d2-5e585ca78118","resolution":{"observed_at":"2026-08-06T17:12:14.093140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2502.12022","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:13.258674Z","title":null,"venue":null,"work_id":"a2c6afc0-aee4-490e-b2d7-2765eaf92c71","year":2025},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.239715Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:21bc01cdf287ed22412d41e312642f42d29e7ec47ad2bdda10b6743fad8d05b5","observation_id":"de6377dc-8689-4e05-aabc-166eb680c2f4","resolution":{"observed_at":"2026-08-06T17:12:13.320656Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T17:12:13.817024Z","title":null,"venue":null,"work_id":"f6315617-dba2-4525-829c-c95a1679385c","year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.310854Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:46d62adcfa45efa199bc063ae47fd4a68b1a148482df6bd0a18817f94d92c6b8","observation_id":"03aec223-acbd-470d-b8c2-ab38cd31c679","resolution":{"observed_at":"2026-08-06T17:12:13.895302Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.acl-long.131","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:12:12.763789Z","title":null,"venue":null,"work_id":"09411bb1-1b56-47d9-9831-7f095c805050","year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.429498Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:49b55e9ee3a56296925d12e25602231246d4143fa10aaa01b2305565e61201b9","observation_id":"cf2f2d25-b60f-4cbd-ade0-d45f3878cebc","resolution":{"observed_at":"2026-08-06T17:12:12.792696Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.15240","last_updated":"2025-02-22T10:21:46Z","snapshot_observed_at":"2026-07-06T19:06:41.697671Z","submitted_at":"2024-08-27T17:57:45Z","title":"Generative Verifiers: Reward Modeling as Next-Token Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.15240","snapshot_observed_at":"2026-08-06T17:12:12.536426Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.536426Z"},"links":{"cited_paper":"/paper/2408.15240","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:191f9fcfa2770a39a4d97e5fe1fcda43327b93edd9a4c6fb870e1945501ffd80","observation_id":"dc5c0bc3-df2f-4ea1-970c-d10f2862fd18","resolution":{"observed_at":"2026-08-06T17:12:12.536426Z","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":"2026-08-06T17:12:13.675743Z","title":"Le, and Ed H","venue":null,"work_id":"8c6b6815-5be7-4a45-a758-055375cbea12","year":2023},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.607471Z"},"links":{"citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:c93a426d91523cf3397b78a37aced85954f0cd0d7efea9016b22df8b143517e0","observation_id":"a96c604d-d742-4f51-a587-9c321247b1c8","resolution":{"observed_at":"2026-08-06T17:12:13.744520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.00511","last_updated":"2025-02-13T07:35:08Z","snapshot_observed_at":"2026-08-01T19:43:14.592567Z","submitted_at":"2025-02-01T18:09:49Z","title":"Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00511","snapshot_observed_at":"2026-08-06T17:12:12.638442Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T17:12:12.638442Z"},"links":{"cited_paper":"/paper/2502.00511","citing_paper":"/paper/2507.11423"},"observation_digest":"sha256:fe89f00a649b8f1d2fd00868049098205ba736ca2255fea1dc2474b124b69258","observation_id":"8960f8e4-c561-49ab-9052-981e696077e2","resolution":{"observed_at":"2026-08-06T17:12:12.638442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.11423","last_updated":"2025-07-16T13:02:26Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T17:05:50.479233Z","submitted_at":"2025-07-15T15:47:47Z","title":"Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":3,"verified_fuzzy":3},"total_outbound_references":33},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.11423."}