Paper Citation Record · LEDGER

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2608.01319.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.01319 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:24:22.924827Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy4
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 347bfcac-3d03-4837-8cf8-b07267358fee · outbound

This paper cites Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:19.797452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71524d5d-909d-437b-b57d-6f360aa5cd2e · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:19.923359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb111e22-3a5f-45b7-8ec3-b659771fe20d · outbound

This paper cites Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:20.051022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11abdd4f-421a-4ab3-9a6e-88fcfea68fa6 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in LLMs via reinforcement learning.Nature, 645:633–638, 2025.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Deepseek-r1: Incentivizing reasoning capability in LLMs via reinforcement learning.Nature, 645:633–638, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:24:25.324747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11b7f934-2f6a-48e3-bea1-59ff2ddd642b · outbound

This paper cites Meta Reasoning for Large Language Models.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Meta Reasoning for Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:20.280314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e81f47-23bf-4a75-86e9-b3bd2b6aed36 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:20.388007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af84f3b-1f52-42ff-bdf1-7ff25022a0c1 · outbound

This paper cites Chain of mindset: Reasoning with adaptive cognitive modes.arXiv preprint arXiv:2602.10063, 2026.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Chain of mindset: Reasoning with adaptive cognitive modes.arXiv preprint arXiv:2602.10063, 2026

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:20.501488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175e10cf-c894-45a2-9c97-cde927bdf183 · outbound

This paper cites Cognitive foundations for reasoning and their manifestation in llms.arXiv preprint arXiv:2511.16660, 2025.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Cognitive foundations for reasoning and their manifestation in llms.arXiv preprint arXiv:2511.16660, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:20.643266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40602489-4aad-4ad5-a6c3-6679ee5096d7 · outbound

This paper cites Let’s verify step by step.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Let’s verify step by step

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:24:25.154731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ec43431-1ac0-464d-b80c-8a1c10c66c86 · outbound

This paper cites MetaScale: Test-Time Scaling with Evolving Meta-Thoughts.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models MetaScale: Test-Time Scaling with Evolving Meta-Thoughts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:20.814743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 714785f7-bba5-4732-b973-6d7d78e4f6bb · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Self-Refine: Iterative Refinement with Self-Feedback

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:20.959711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb496f4-8533-4f66-a913-3a43f6690067 · outbound

This paper cites Learning to reason with LLMs.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Learning to reason with LLMs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:24:24.815628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d57402b4-b4ef-46c8-9770-9d847ce8d8f5 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:21.151325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5bcb7d8-e603-44ca-994c-0dc535dff398 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:21.205201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5107c1a-ffe0-4d51-b383-561fc68276c3 · outbound

This paper cites Scaling llm test-time compute optimally can be more effective than scaling parameters for reasoning.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Scaling llm test-time compute optimally can be more effective than scaling parameters for reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:21.295458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acb953d9-807d-4d8e-a9b7-784b52a22660 · outbound

This paper cites Large language model reasoning failures.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Large language model reasoning failures

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:21.424188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e1f51ea-0c81-4584-8333-3caf0ab3f80c · outbound

This paper cites Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:21.584761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbaa9a8-18d6-443d-a9f1-8b2ad6d6da74 · outbound

This paper cites Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:21.685650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a8301a-91f9-400f-8105-2a45452a911d · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:21.805694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44fb4cf-a8df-48c4-9fd8-12c15f4ad5b3 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:21.954848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76bd5d9b-b59d-430d-b20e-935ac15d3d44 · outbound

This paper cites From efficiency to adaptivity: A deeper look at adaptive reasoning in large language models.arXiv preprint arXiv:2511.10788, 2025.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models From efficiency to adaptivity: A deeper look at adaptive reasoning in large language models.arXiv preprint arXiv:2511.10788, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:22.024276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86fb1fa7-e23a-48f6-90cf-c86c798b87d4 · outbound

This paper cites Position: Llms need a bayesian meta-reasoning framework for more robust and generalizable reasoning.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Position: Llms need a bayesian meta-reasoning framework for more robust and generalizable reasoning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:24:24.644749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0cb1c78c-5d29-4377-8e2f-87a40216ffd3 · outbound

This paper cites Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:22.264845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a2e140f-236e-4ea4-af86-87fc2d5f2888 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:22.433798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bff5347-115f-47a1-be8d-4f4b0d0e1253 · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:22.524838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3755de05-78dc-41ff-b4b1-707c7f36e064 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:22.670185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1ab2660-eda6-4df4-9bd0-d0e279806dc3 · outbound

This paper cites General Scales Unlock AI Evaluation with Explanatory and Predictive Power.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models General Scales Unlock AI Evaluation with Explanatory and Predictive Power

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:22.764624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7921223b-3ee0-4633-9e0a-af2fe5e9b1f8 · outbound

This paper cites Scaling Test-time Compute for LLM Agents.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Scaling Test-time Compute for LLM Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:22.837114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63078ffd-64f3-4b2e-aa7b-9d8d12023694 · outbound

This paper cites Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning.

Cognitive Demand Steering for Adaptive Meta-Reasoning in Large Language Models Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:24:23.264841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.