Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T19:39:28.531731Z
Paper Citation Record · LEDGER
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2508.16636.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
27 of 27 outbound references displayed
- verified exact1
- verified fuzzy19
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 84373546-8d58-4706-bb7b-04bf5c9f6ec9 · outbound
This paper cites Kahneman, Thinking, fast and slow.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Kahneman, Thinking, fast and slow
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:29.644033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 28ba3840-44f4-449f-b53b-c95b6b33d957 · outbound
This paper cites Kahneman, O.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Kahneman, O
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:29.632845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ef7ba835-6c4c-4a9d-a0a4-b4c676216f89 · outbound
This paper cites Wei et al., ”Chain-of-thought prompting elicits reasoning in large lan- guage models,” in Advances in Neural Information Processing Systems , vol.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Wei et al., ”Chain-of-thought prompting elicits reasoning in large lan- guage models,” in Advances in Neural Information Processing Systems , vol
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:29.622755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 46c83de4-39a6-495d-b884-b4df0d181c60 · outbound
This paper cites Yao et al., ”Tree of thoughts: Deliberate problem solving with large language models,” in Advances in Neural Information Processing Systems, vol.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Yao et al., ”Tree of thoughts: Deliberate problem solving with large language models,” in Advances in Neural Information Processing Systems, vol
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:29.610395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 396c61cc-2364-4c5c-897a-4147b2626e1d · outbound
This paper cites Zheng et al., ”Take a step back: Evoking reasoning via abstraction in large language models,” in International Conference on Learning Representations, 2024.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Zheng et al., ”Take a step back: Evoking reasoning via abstraction in large language models,” in International Conference on Learning Representations, 2024
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:29.597669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f4167375-6ad6-4b20-9c36-0b4f0974befb · outbound
This paper cites Kojima et al., ”Large language models are zero-shot reasoners,” in Advances in Neural Information Processing Systems , vol.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Kojima et al., ”Large language models are zero-shot reasoners,” in Advances in Neural Information Processing Systems , vol
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:29.585575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6bbca89b-9ed0-40da-94a6-581c4f443747 · outbound
This paper cites Zhou et al., ”Least-to-most prompting enables complex reasoning in large language models,” in International Conference on Learning Representations, 2023.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Zhou et al., ”Least-to-most prompting enables complex reasoning in large language models,” in International Conference on Learning Representations, 2023
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.788064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 398376d2-f1ea-4187-9f73-30e3bb2b5fdd · outbound
This paper cites Zhang et al., ”Automatic chain of thought prompting in large language models,” in International Conference on Learning Representations , 2023.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Zhang et al., ”Automatic chain of thought prompting in large language models,” in International Conference on Learning Representations , 2023
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.776405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d83d4543-d925-4a00-9354-aa5420acaba4 · outbound
This paper cites Wang et al., ”Self-consistency improves chain of thought reasoning in language models,” in International Conference on Learning Repre- sentations, 2023.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Wang et al., ”Self-consistency improves chain of thought reasoning in language models,” in International Conference on Learning Repre- sentations, 2023
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.765313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ed0af70a-965c-43db-ac8b-7732102a7ea3 · outbound
This paper cites an unresolved cited work.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:39:28.755008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fd842a1b-cc0d-4700-9e35-19c481f381dd · outbound
This paper cites Rahwan et al., ”Machine behaviour,” Nature, vol.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Rahwan et al., ”Machine behaviour,” Nature, vol
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.744801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6cfac3ef-0f65-4a2b-a906-d5706d357ba9 · outbound
This paper cites Binz and E.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Binz and E
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.735099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2572e4ad-b832-4d80-a8ef-0a4b33f1f1f3 · outbound
This paper cites Huang et al., ”Towards reasoning in large language models: A survey,” in Findings of the Association for Computational Linguistics: ACL 2023, 2023.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Huang et al., ”Towards reasoning in large language models: A survey,” in Findings of the Association for Computational Linguistics: ACL 2023, 2023
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.724680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2df57b6d-341b-47cd-92c9-39801373e659 · outbound
This paper cites Compositional generalization in a deep seq2seq model by separating syntax and semantics.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Compositional generalization in a deep seq2seq model by separating syntax and semantics
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T19:39:28.586215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2c37751b-dcad-4a78-8b2a-3202b5dfd42d · outbound
This paper cites an unresolved cited work.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:39:28.715241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 944ef65f-1188-48d3-879b-c72a0c13efc6 · outbound
This paper cites Schraw, ”Research on metacognitive strategies,” Educational Psy- chology Review, vol.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Schraw, ”Research on metacognitive strategies,” Educational Psy- chology Review, vol
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.704037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d653f800-2d1f-4533-bb45-78b80fdf9596 · outbound
This paper cites Chen et al., ”Teaching language models to express their uncertainty in words,” Transactions of the Association for Computational Linguistics , vol.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Chen et al., ”Teaching language models to express their uncertainty in words,” Transactions of the Association for Computational Linguistics , vol
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.693473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 03e45554-1208-4cab-92cb-34edf0b8b5da · outbound
This paper cites Language Models (Mostly) Know What They Know.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Language Models (Mostly) Know What They Know
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:39:28.503205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b658ee3f-b52b-4b2b-96f8-5c3b32c79496 · outbound
This paper cites Ross, ”The intuitive psychologist and his shortcomings: Distortions in the attribution process,” Advances in Experimental Social Psychology, vol.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Ross, ”The intuitive psychologist and his shortcomings: Distortions in the attribution process,” Advances in Experimental Social Psychology, vol
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.682644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 948596ed-2a91-4d41-a233-e8a33f73548f · outbound
This paper cites Rogers, O.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Rogers, O
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.670864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ff43992a-8c6f-45d0-8925-5938589c1a7b · outbound
This paper cites an unresolved cited work.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:39:28.659843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5602fa55-4d8f-45f2-a93a-c7661e9ab26e · outbound
This paper cites Sun, ”Anatomy of the mind: exploring psychological mechanisms and processes with the Clarion cognitive architecture,” Topics in Cognitive Science, vol.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Sun, ”Anatomy of the mind: exploring psychological mechanisms and processes with the Clarion cognitive architecture,” Topics in Cognitive Science, vol
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.646439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f4ec7509-d727-4f46-ac1e-b816219a4533 · outbound
This paper cites an unresolved cited work.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:39:28.633919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c91ef7cf-6c65-4eea-891d-4ebd0141bf6b · outbound
This paper cites Stenning and M.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Stenning and M
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.623265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 09dab54b-d8e3-43bc-8114-de71dbde473b · outbound
This paper cites Russell and E.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Russell and E
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T19:39:28.610850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 89f1881c-e16c-4a26-ab7c-3bdbe95697af · outbound
This paper cites an unresolved cited work.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T19:39:28.598976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 12e1fa64-e6e9-48cc-8a8d-d9fd41fcb9a7 · outbound
This paper cites Can Machines Learn Morality? The Delphi Experiment.
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow Can Machines Learn Morality? The Delphi Experiment
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:39:28.531731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.