{"as_of":"2026-08-22T21:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8c2ee6b10f8711b562214f48fc92bc559a9e6348861f98e4212085bbfc99887d","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T19:39:28.531731Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2508.16636/citation-record","integrity":"/paper/2508.16636/integrity","json":"/paper/2508.16636/citation-record.json","paper":"/paper/2508.16636"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T19:39:29.640383Z","title":"Kahneman, Thinking, fast and slow","venue":null,"work_id":"2877df7d-4d56-4ad8-b8f8-0c66bd0ec97c","year":2011},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.439978Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:21c8b4bc105b11d23e5dc1b65f68fa9546e23a8f58855591e9656ae3687a1e2d","observation_id":"84373546-8d58-4706-bb7b-04bf5c9f6ec9","resolution":{"observed_at":"2026-08-05T19:39:29.644033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:29.629446Z","title":"Kahneman, O","venue":null,"work_id":"b4ec11cb-bf21-416a-bd28-ef79f61adbea","year":2021},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.444758Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:c19ffe442770aab640b0de0ebe551eca6e39392a1f1515ab4223e0e7e1fd31ec","observation_id":"28ba3840-44f4-449f-b53b-c95b6b33d957","resolution":{"observed_at":"2026-08-05T19:39:29.632845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:29.619168Z","title":"Wei et al., ”Chain-of-thought prompting elicits reasoning in large lan- guage models,” in Advances in Neural Information Processing Systems , vol","venue":null,"work_id":"7c55523f-5d87-438d-bcff-b573429bb665","year":2022},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.449373Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:5e998cd56a7c03744727511ed06c55dec4c0029ca9b36ebaede08a3c1a6e6634","observation_id":"ef7ba835-6c4c-4a9d-a0a4-b4c676216f89","resolution":{"observed_at":"2026-08-05T19:39:29.622755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:29.605610Z","title":"Yao et al., ”Tree of thoughts: Deliberate problem solving with large language models,” in Advances in Neural Information Processing Systems, vol","venue":null,"work_id":"be7b3497-e056-4eb2-9587-cfea17e7226f","year":2024},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.453060Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:0a1a1b542b5115fb9d0aceda6824f0b84e0eb8af1e5e7f8c66b824989dbc92af","observation_id":"46c83de4-39a6-495d-b884-b4df0d181c60","resolution":{"observed_at":"2026-08-05T19:39:29.610395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:29.593852Z","title":"Zheng et al., ”Take a step back: Evoking reasoning via abstraction in large language models,” in International Conference on Learning Representations, 2024","venue":null,"work_id":"8176f10c-94e0-437c-9547-81bee9a888e8","year":2024},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.456825Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:ae3cfdd9a3603e35d58669f83f9f58ae268153d007126e00391b7afe0e586c39","observation_id":"396c61cc-2364-4c5c-897a-4147b2626e1d","resolution":{"observed_at":"2026-08-05T19:39:29.597669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.796169Z","title":"Kojima et al., ”Large language models are zero-shot reasoners,” in Advances in Neural Information Processing Systems , vol","venue":null,"work_id":"d73711b2-0ec9-4a6c-94db-0c1051cdf7e8","year":2022},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.460602Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:3fdc52c1494fd67adb2efc3fab56c426977b98dc556d375685c78941b93585b8","observation_id":"f4167375-6ad6-4b20-9c36-0b4f0974befb","resolution":{"observed_at":"2026-08-05T19:39:29.585575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.783934Z","title":"Zhou et al., ”Least-to-most prompting enables complex reasoning in large language models,” in International Conference on Learning Representations, 2023","venue":null,"work_id":"9fc98ea8-78e0-4816-bf85-3360fd86eb85","year":2023},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.464741Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:9974b56d13b437c5f1af081a818208a88a9a233b1ea8db1f57b31a1ecbada889","observation_id":"6bbca89b-9ed0-40da-94a6-581c4f443747","resolution":{"observed_at":"2026-08-05T19:39:28.788064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.772646Z","title":"Zhang et al., ”Automatic chain of thought prompting in large language models,” in International Conference on Learning Representations , 2023","venue":null,"work_id":"52d82085-e76a-456a-ac4c-2589c620ca8d","year":2023},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.467991Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:59c87ed1bb50422f919cbc6cbcf073cd9487dc790e6d8b8d3d8ef85048354586","observation_id":"398376d2-f1ea-4187-9f73-30e3bb2b5fdd","resolution":{"observed_at":"2026-08-05T19:39:28.776405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.761641Z","title":"Wang et al., ”Self-consistency improves chain of thought reasoning in language models,” in International Conference on Learning Repre- sentations, 2023","venue":null,"work_id":"d2f98977-309f-4726-93f6-c7b86c14c007","year":2023},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.471215Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:c452cdf2ae3cc98df20db7704eabc8f5a8446c670eff1bc80647dde2345cc559","observation_id":"d83d4543-d925-4a00-9354-aa5420acaba4","resolution":{"observed_at":"2026-08-05T19:39:28.765313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.751397Z","title":null,"venue":null,"work_id":"b9cf905d-9ff6-4034-983e-f4ecaf167ede","year":2019},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.474968Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:0cbc8d9e0590e696641bd913d2290299809e71823dcd16e39922ef6c7f547b88","observation_id":"ed0af70a-965c-43db-ac8b-7732102a7ea3","resolution":{"observed_at":"2026-08-05T19:39:28.755008Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.741425Z","title":"Rahwan et al., ”Machine behaviour,” Nature, vol","venue":null,"work_id":"291b4286-f457-4812-9722-ba79b35a65fe","year":2019},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.478522Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:ec745a0aeb44848fe1bb5c8bc3c7c36f31f1a090e1c1144cfcbea4892892e3af","observation_id":"fd842a1b-cc0d-4700-9e35-19c481f381dd","resolution":{"observed_at":"2026-08-05T19:39:28.744801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.731197Z","title":"Binz and E","venue":null,"work_id":"53e297f1-6c7b-479f-ba47-2a1e7bfac337","year":2023},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.482520Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:db22fa55157ebe88996faa0a1615f0bdebb337170638985c579767abc18c8863","observation_id":"6cfac3ef-0f65-4a2b-a906-d5706d357ba9","resolution":{"observed_at":"2026-08-05T19:39:28.735099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.721373Z","title":"Huang et al., ”Towards reasoning in large language models: A survey,” in Findings of the Association for Computational Linguistics: ACL 2023, 2023","venue":null,"work_id":"15987151-c5eb-4dba-b885-733c5277c50e","year":2023},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.486671Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:dbb58774734e4c9e41357b53abe433bcca9d3b0cc7521444eda75f2769d735d7","observation_id":"2572e4ad-b832-4d80-a8ef-0a4b33f1f1f3","resolution":{"observed_at":"2026-08-05T19:39:28.724680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09708","last_updated":"2019-05-23T20:59:12Z","snapshot_observed_at":"2026-08-18T16:44:05.888464Z","submitted_at":"2019-04-22T03:12:09Z","title":"Compositional generalization in a deep seq2seq model by separating syntax and semantics","version":3},"cited_work":{"arxiv_id":"1904.09708","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.09708","snapshot_observed_at":"2026-08-05T19:39:28.579897Z","title":"Compositional generalization in a deep seq2seq model by separating syntax and semantics","venue":"cs.LG","work_id":"e379e4d6-1c46-46e4-87a1-5d78ac98d109","year":2019},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.489877Z"},"links":{"cited_paper":"/paper/1904.09708","citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:9e92db3959c10359345b66ddf44e8290656fb55f565948eecae669475aa3ff5d","observation_id":"2df57b6d-341b-47cd-92c9-39801373e659","resolution":{"observed_at":"2026-08-05T19:39:28.586215Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.711870Z","title":null,"venue":null,"work_id":"e0fb63bb-ef96-4585-9174-1a8b97de4991","year":2005},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.493655Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:1c610e74153a0f3363ab058972a5fe5605678c6a450d1906a4bc762c2a0fcf79","observation_id":"2c37751b-dcad-4a78-8b2a-3202b5dfd42d","resolution":{"observed_at":"2026-08-05T19:39:28.715241Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.699885Z","title":"Schraw, ”Research on metacognitive strategies,” Educational Psy- chology Review, vol","venue":null,"work_id":"94886cfd-5333-44e3-b689-78d583221bc6","year":2006},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.496910Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:f2118d1964e27d02aab7e70fab12f2160dc868c3398db2f9b455adafe40aedcd","observation_id":"944ef65f-1188-48d3-879b-c72a0c13efc6","resolution":{"observed_at":"2026-08-05T19:39:28.704037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.689551Z","title":"Chen et al., ”Teaching language models to express their uncertainty in words,” Transactions of the Association for Computational Linguistics , vol","venue":null,"work_id":"4e1804d5-7bdb-484f-864e-ce0d65370d5f","year":2023},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.500096Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:7a52256de39de4c1116b86d026fd25f82c6d2ef4bab79839a53c4286f3ae7f24","observation_id":"d653f800-2d1f-4533-bb45-78b80fdf9596","resolution":{"observed_at":"2026-08-05T19:39:28.693473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.05221","last_updated":"2022-11-21T16:38:35Z","snapshot_observed_at":"2026-08-14T05:42:29.067319Z","submitted_at":"2022-07-11T22:59:39Z","title":"Language Models (Mostly) Know What They Know","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.05221","snapshot_observed_at":"2026-08-05T19:39:28.503205Z","title":"Kadavath et al., ”Language models (mostly) know what they know,” arXiv preprint arXiv:2207.05221 , 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.503205Z"},"links":{"cited_paper":"/paper/2207.05221","citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:23af1099281d3276951ef0270fd922a7fd132ff537c1259877a6b9ae3740f5cd","observation_id":"03e45554-1208-4cab-92cb-34edf0b8b5da","resolution":{"observed_at":"2026-08-05T19:39:28.503205Z","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":"2026-08-05T19:39:28.678241Z","title":"Ross, ”The intuitive psychologist and his shortcomings: Distortions in the attribution process,” Advances in Experimental Social Psychology, vol","venue":null,"work_id":"4ee743ae-2a4c-4670-8106-10501b6942c5","year":1977},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.506506Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:b61a7af73e9b3b0cd26d558b7328df3714c51dffdc46fa3719133e4472e322cf","observation_id":"b658ee3f-b52b-4b2b-96f8-5c3b32c79496","resolution":{"observed_at":"2026-08-05T19:39:28.682644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.666759Z","title":"Rogers, O","venue":null,"work_id":"ca9f1ff2-a85d-459e-aa99-a06bc484974b","year":2020},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.509735Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:18b42d8686371896863be7289f047c5b4810c877edd2b4d76a6bb02e5bb2bd6a","observation_id":"948596ed-2a91-4d41-a233-e8a33f73548f","resolution":{"observed_at":"2026-08-05T19:39:28.670864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.655625Z","title":null,"venue":null,"work_id":"9786c61a-bcf8-4461-bb9e-7dcfcf9b9480","year":2018},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.512614Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:609458e746b5d40fc9e0ad93d522598fd1492c5eb6d3ffc03ff6d8366b5b3efd","observation_id":"ff43992a-8c6f-45d0-8925-5938589c1a7b","resolution":{"observed_at":"2026-08-05T19:39:28.659843Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.641682Z","title":"Sun, ”Anatomy of the mind: exploring psychological mechanisms and processes with the Clarion cognitive architecture,” Topics in Cognitive Science, vol","venue":null,"work_id":"5cb5e431-615e-4f60-912c-843a01ea9f80","year":2016},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.515915Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:4a484d89b254be849aeab638027e71f768e194b06f3fd74f56898aef8a43a493","observation_id":"5602fa55-4d8f-45f2-a93a-c7661e9ab26e","resolution":{"observed_at":"2026-08-05T19:39:28.646439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.630222Z","title":null,"venue":null,"work_id":"fd1e22dc-29ce-4d85-ae43-fee2989f0893","year":2019},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.518971Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:b17814a07cc8961bd622b768e310d4d4c0e4d302b58eec57f0d946515fd979b2","observation_id":"f4ec7509-d727-4f46-ac1e-b816219a4533","resolution":{"observed_at":"2026-08-05T19:39:28.633919Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.619105Z","title":"Stenning and M","venue":null,"work_id":"e335ef86-6e42-4221-9c16-eacbfa85a8cf","year":2008},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.522273Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:43b7d3e92ebc1e19065c2265f7e8fa11a9b2d1f649220c9639234f6ac1e72668","observation_id":"c91ef7cf-6c65-4eea-891d-4ebd0141bf6b","resolution":{"observed_at":"2026-08-05T19:39:28.623265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.606626Z","title":"Russell and E","venue":null,"work_id":"79f51e6f-c004-4ce8-b393-8657619fbeb0","year":1991},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.525501Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:285b31dedc2e68fc943cb5a3d281a47975580ef1f89f753135e6a1e6571a8e4d","observation_id":"09dab54b-d8e3-43bc-8114-de71dbde473b","resolution":{"observed_at":"2026-08-05T19:39:28.610850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-05T19:39:28.594887Z","title":null,"venue":null,"work_id":"a672e2dd-624d-42c3-a4c7-f0a897602e24","year":1987},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.528510Z"},"links":{"citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:50feec6f628d7429811d4c7ec0495fcdbe750412bee22a8f0fbb74007452e4ac","observation_id":"89f1881c-e16c-4a26-ab7c-3bdbe95697af","resolution":{"observed_at":"2026-08-05T19:39:28.598976Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.07574","last_updated":"2022-07-12T17:48:46Z","snapshot_observed_at":"2026-08-18T05:25:54.614108Z","submitted_at":"2021-10-14T17:38:12Z","title":"Can Machines Learn Morality? The Delphi Experiment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.07574","snapshot_observed_at":"2026-08-05T19:39:28.531731Z","title":"Jiang et al., ”Can machines learn morality? The Delphi experiment,” arXiv preprint arXiv:2110.07574 , 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:28.531731Z"},"links":{"cited_paper":"/paper/2110.07574","citing_paper":"/paper/2508.16636"},"observation_digest":"sha256:6defa17a02974c0de7a93ba768c62b2413c0ce699a3c2f6434ba10c93759ba51","observation_id":"12e1fa64-e6e9-48cc-8a8d-d9fd41fcb9a7","resolution":{"observed_at":"2026-08-05T19:39:28.531731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.16636","last_updated":"2025-08-17T01:07:58Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T05:26:15.142076Z","submitted_at":"2025-08-17T01:07:58Z","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":1,"verified_fuzzy":19},"total_outbound_references":27},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2508.16636."}