Paper Citation Record · LEDGER

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 7 inbound Pith citation observations for arXiv:2506.07240.

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

pith.paper-citation-record.v1
2506.07240 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:45:05.990693Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:46.288418Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:56.089895Z

Reference resolution

41 of 41 outbound references displayed

verified exact1
verified fuzzy13
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0231d295-288a-4551-99ba-21bfe90bf50a · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.861996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a044d3f3-0a02-4ffb-829c-6c0c6cd1f343 · outbound

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

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.866244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02abfd8c-8379-4ff1-8f42-2eccf951d33a · outbound

This paper cites A toy model of universality: Reverse engineering how networks learn group operations.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs A toy model of universality: Reverse engineering how networks learn group operations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.385788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e931ea9-7b43-4af8-94c2-962011b57ad5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.873229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a20efb5-52fb-44bd-aa45-aeb4e3886dee · outbound

This paper cites A mathematical framework for transformer circuits.Transformer Circuits Thread,.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs A mathematical framework for transformer circuits.Transformer Circuits Thread,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.877205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc3c45f-832d-48c7-a044-cdfa6b375808 · outbound

This paper cites Metacognition and cognitive monitoring: A new area of cognitive– developmental inquiry.American psychologist, 34(10):906, 1979.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Metacognition and cognitive monitoring: A new area of cognitive– developmental inquiry.American psychologist, 34(10):906, 1979

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.364447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5bb33186-6281-4c95-9e2f-c6962849dd67 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.887744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a46b507-439a-4189-905e-e33ca0285aef · outbound

This paper cites In-context learning creates task vectors.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs In-context learning creates task vectors

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.354611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65da3b63-4c31-4c70-908a-f40e5fa2548c · outbound

This paper cites OpenAI o1 System Card.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs OpenAI o1 System Card

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.895305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89218d28-ee92-441f-a0dc-0a12d8a1ffdd · outbound

This paper cites The impact of reasoning step length on large language models.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs The impact of reasoning step length on large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.898359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08d32ef-1eaf-4d0c-8735-f98ab106f7d1 · outbound

This paper cites The Impact of Reasoning Step Length on Large Language Models.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs The Impact of Reasoning Step Length on Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.901186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc0b08cb-1694-4431-aca9-5949287d66ea · outbound

This paper cites Language models use trigonometry to do addition.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Language models use trigonometry to do addition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.904768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dd0b6f6-9bf1-4cbd-8220-0f842847dfa2 · outbound

This paper cites Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.907966Z

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Observation cb98dd89-e174-4ea3-80aa-c8f23e93f11b · outbound

This paper cites Abstractive document summa- rization with summary-length prediction.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Abstractive document summa- rization with summary-length prediction

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-07T05:45:05.910704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15b9d150-8463-45f1-b570-8644811dc9d1 · outbound

This paper cites Let's Verify Step by Step.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Let's Verify Step by Step

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.913374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50817e3a-26f3-49b5-985b-f5185461d87c · outbound

This paper cites s1: Simple test-time scaling.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs s1: Simple test-time scaling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.916237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfee3169-31af-4d50-9ba8-b6fc95d6fa88 · outbound

This paper cites Progress mea- sures for grokking via mechanistic interpretability.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Progress mea- sures for grokking via mechanistic interpretability

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.332436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8350d7b8-3b48-4e8f-8393-f580596c2a67 · outbound

This paper cites Metamemory: A theoretical framework and new findings.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Metamemory: A theoretical framework and new findings

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.322087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec5c8fd3-450d-49c7-8158-c0242b10be0d · outbound

This paper cites Zoom in: An introduction to circuits.Distill, 2020.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Zoom in: An introduction to circuits.Distill, 2020

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.926206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a160824-a9cb-48de-adb7-4425207eee18 · outbound

This paper cites In-context Learning and Induction Heads.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs In-context Learning and Induction Heads

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.929188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded680a8-00e2-4475-a59f-b38f5db91c4b · outbound

This paper cites Chatgpt: Optimizing language models for dialogue.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Chatgpt: Optimizing language models for dialogue

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.312943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 175042fa-9c8d-42b1-b5b2-dd7db6996995 · outbound

This paper cites Zero-Shot Strategies for Length-Controllable Summarization.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Zero-Shot Strategies for Length-Controllable Summarization

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:45:06.108410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05494799-79e0-49f7-b31b-90228978d7b0 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.938671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1ecc85-f918-474b-a21a-1bd0f5588e05 · outbound

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

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.941541Z

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Unavailable: canonical work link unavailable.

Observation 46ca0faa-844b-42f2-b163-65a19201d998 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.944751Z

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Unavailable: canonical work link unavailable.

Observation 9ab04672-346d-4d5f-9acc-3ac96ce57346 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.947519Z

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Observation b6bf9361-0c4d-4e7e-adf3-0fe1e16161bf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Chain-of-thought prompting elicits reasoning in large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.950388Z

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Unavailable: canonical work link unavailable.

Observation c062ef60-2ff6-4845-bad7-00bc850adc90 · outbound

This paper cites From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.953393Z

Source-reported events for the cited work

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Observation b7532860-234e-492c-8416-3b43e5989a59 · outbound

This paper cites Effectively Controlling Reasoning Models through Thinking Intervention.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Effectively Controlling Reasoning Models through Thinking Intervention

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.956792Z

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Unavailable: canonical work link unavailable.

Observation e4b35af5-fd32-4008-bf3c-be45b3bcfb23 · outbound

This paper cites When More is Less: Understanding Chain-of-Thought Length in LLMs.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs When More is Less: Understanding Chain-of-Thought Length in LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.959682Z

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Unavailable: canonical work link unavailable.

Observation 9c4f7e78-738b-45de-80a8-2c66ad7b109a · outbound

This paper cites The clock and the pizza: Two stories in mechanistic explanation of neural networks.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs The clock and the pizza: Two stories in mechanistic explanation of neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.296296Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f88d29d3-6c9a-49a7-a41c-2b5186956cfb · outbound

This paper cites hmm,” “wait,.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs hmm,” “wait,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.286550Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f265bf2-a3d0-4477-8627-3e27b7d2de35 · outbound

This paper cites an unresolved cited work.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:45:06.276799Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0ebbfc1-149d-4cc4-b87a-2f93d673e057 · outbound

This paper cites an unresolved cited work.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:45:06.267688Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecfe036e-3a9a-4b08-bace-a6672e6af137 · outbound

This paper cites Suzanne doesn’t walk on the 28th day, so 36 miles is the minimum.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Suzanne doesn’t walk on the 28th day, so 36 miles is the minimum

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.258342Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d39f6285-40e4-4d17-8272-b34cc744468d · outbound

This paper cites Each time, I’m adding the two previous numbers to get the next one.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Each time, I’m adding the two previous numbers to get the next one

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.247994Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4bffe1e7-45c8-4805-9074-88ed46ac41ac · outbound

This paper cites First, compute.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs First, compute

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.238327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 450149e7-d1c9-4119-bb3e-b198cf13176c · outbound

This paper cites So, I’m confident that the 9th Fibonacci number is 34.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs So, I’m confident that the 9th Fibonacci number is 34

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.228960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b3fcb1d-a7d0-4e0d-a7e6-695716b4235e · outbound

This paper cites an unresolved cited work.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:45:06.219058Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3fc7b84-4689-4a74-916b-cb77f74fc720 · outbound

This paper cites I need to solve for X and Y.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs I need to solve for X and Y

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:45:06.208429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62a1e34f-852a-4eb0-a3a2-506d1d49426c · outbound

This paper cites an unresolved cited work.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.880603Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation acb242c7-f4d7-45b2-b81a-5b4966a3560b · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:46.288418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69f620d1-167f-40b0-b1a9-baf1624960f2 · inbound

Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models cites this paper.

Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:21:08.860349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bba556c0-d8f0-4170-a981-545798c0682d · inbound

Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Training cites this paper.

Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Training Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:42:08.363768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d9333a41-1f81-473e-a0e7-cb112e66c692 · inbound

Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Training cites this paper.

Freeze Deep, Train Shallow: Interpretable Layer Allocation for Continued Pre-Training Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:45:26.251643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f199f689-dbcc-468e-a391-249d3fa2a4b2 · inbound

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces cites this paper.

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:05:03.810139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation caf2942c-1f7a-489d-882e-65988c8cf220 · inbound

Prefix-Safe Bayesian Belief Tracking for LLM Reasoning Reliability:Separating Calibration from Ranking cites this paper.

Prefix-Safe Bayesian Belief Tracking for LLM Reasoning Reliability:Separating Calibration from Ranking Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:03:40.967322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 937493f9-7aad-492b-9f55-bfc5fb69d524 · inbound

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning cites this paper.

From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:56.091484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.