Paper Citation Record · LEDGER

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 28 inbound Pith citation observations for arXiv:2506.05256.

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

pith.paper-citation-record.v1
2506.05256 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:31.536924Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.890896Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:03.297902Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy1
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c2e65a2-a26b-454f-a04d-17ba24728abd · outbound

This paper cites Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, and Dong Yu.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, and Dong Yu

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.048003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21756724-5271-4197-82a1-57ed4f1d5c21 · outbound

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

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.149754Z

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Observation d7fd6e85-6f0c-4ed1-88e5-0df5bdedf482 · outbound

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

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.270494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c17b38e5-69a3-4707-bee7-f1d9912d501c · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.467637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506a3c43-7cb5-4e58-9910-0f3a7236edaf · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.568819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6266d389-f09d-486d-90b0-605c95de981e · outbound

This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.642928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b9d6cb8-82a1-4aef-85bd-e8ee20e8affa · outbound

This paper cites s1: Simple test-time scaling.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning s1: Simple test-time scaling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.721513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc219677-9c0c-4254-ba77-9456d1e1314d · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.799790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa4c12c2-f0d5-4d45-a420-c80e7d78f85f · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.901007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90f3d839-d2ed-47a8-b0f0-16b8717c79e3 · outbound

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

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.991793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b43e58-27e3-456e-afad-2512004f8b5c · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:31.092526Z

Source-reported events for the cited work

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Observation 49c3822b-ec35-401e-a7dc-565487c5fc36 · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:31.175370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79876e20-bc1d-4a1e-be92-fa16de0f8d84 · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:31.296126Z

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Unavailable: canonical work link unavailable.

Observation f65d5de8-86c7-4087-8689-c8d1d2d00d61 · outbound

This paper cites Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:31.403312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58daa4dc-cb8d-4f60-915a-c311ae2b4f9c · outbound

This paper cites Backtracking.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning Backtracking

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:32.170425Z

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 419cdef7-efd5-4303-9654-5891a7af65a2 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:30.367732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99687c21-cddc-4122-ad45-a82abd54e362 · outbound

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

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:29.980350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c090e580-0bf6-4349-920f-77f28307ce44 · 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 Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 208

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.890896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16630b78-1342-41b9-9ed6-dc4aacfcc365 · inbound

Learning to Reason Efficiently with Discounted Reinforcement Learning cites this paper.

Learning to Reason Efficiently with Discounted Reinforcement Learning Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T07:59:54.120284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8c6e8f-b5e7-42ac-8320-38c74b5bfdf1 · inbound

Schoenfeld's Anatomy of Mathematical Reasoning by Language Models cites this paper.

Schoenfeld's Anatomy of Mathematical Reasoning by Language Models Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:41:15.359772Z

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 4200b067-bc3b-474c-96d4-a8b2e435ba8a · inbound

CASHEW: Stabilizing Multimodal Reasoning via Iterative Trajectory Aggregation cites this paper.

CASHEW: Stabilizing Multimodal Reasoning via Iterative Trajectory Aggregation Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T11:02:10.268276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39b95d97-b81b-4681-bedc-cdd7eba02034 · inbound

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models cites this paper.

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:22:55.264368Z

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 713381ab-65ec-40bf-a8ce-7c0fa3ade253 · inbound

On the Optimal Reasoning Length for RL-Trained Language Models cites this paper.

On the Optimal Reasoning Length for RL-Trained Language Models Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T02:53:07.791956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a96d6c-7bae-4897-91f2-4885d260985a · inbound

ATTNPO: Attention-Guided Process Supervision for Efficient Reasoning cites this paper.

ATTNPO: Attention-Guided Process Supervision for Efficient Reasoning Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:47:10.890611Z

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 886e77fa-05e3-4eae-8cca-de6899a4bc07 · inbound

CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning cites this paper.

CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:25:55.461203Z

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 84601f54-4850-4575-a90c-73210dcff0f1 · inbound

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling cites this paper.

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:26.152468Z

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 344b53f1-e67c-445a-b1a3-61e04d7501c6 · inbound

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling cites this paper.

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T15:28:13.138448Z

Source-reported events for the cited work

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Observation 724ea3d7-2db4-4f6c-b903-a7e256621619 · inbound

ZAYA1-8B Technical Report cites this paper.

ZAYA1-8B Technical Report Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 227

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:26:04.968571Z

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 0933af8a-9e79-4afc-921b-197b5fea19cc · inbound

DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards cites this paper.

DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:28.454063Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df06833a-2720-4f97-a639-0fa242ebb1a6 · inbound

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models cites this paper.

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:31:16.760115Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation deecccc9-3022-4352-bddd-5df8ab3f24d5 · inbound

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning cites this paper.

Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM Reasoning Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T06:43:05.955153Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07878212-db95-4bed-acb5-058a6488d63c · inbound

CLORE: Content-Level Optimization for Reasoning Efficiency cites this paper.

CLORE: Content-Level Optimization for Reasoning Efficiency Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:08.348019Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7ff19b3-3818-4609-aad2-73facda3bc15 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 243

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.590565Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bae9feb9-53fe-44eb-96f0-cc4d667df1c3 · inbound

Libra: Efficient Resource Management for Agentic RL Post-Training cites this paper.

Libra: Efficient Resource Management for Agentic RL Post-Training Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:27.163309Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 57c65ba3-1f45-48aa-acd3-0038a3bd3b17 · 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 Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:38:56.069868Z

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 14dfd15c-1b8c-4bd1-bbbb-bea699947083 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.866760Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e778285-b681-44bd-9652-4e0890b5ae65 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T10:49:07.680058Z

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Unavailable: canonical work link unavailable.

Observation a8dac336-9aea-4217-932d-7a2c3366b668 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 231

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:40.698593Z

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 124265fb-a462-4763-ba7b-0bd2a6e40fdf · inbound

Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards cites this paper.

Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:19:43.879965Z

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 3742ff11-eeed-4114-8244-565d834dc2c9 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 268

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T18:40:03.299162Z

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 59b6edb1-7561-488e-8233-1e658a261cf1 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 268

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:15:59.049118Z

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 25ff8107-92f1-4eb6-a063-61c8481c02df · inbound

Length Penalties Make Chain-of-Thought Less Monitorable cites this paper.

Length Penalties Make Chain-of-Thought Less Monitorable Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-14T15:45:54.532529Z

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Observation 72a9e867-bdbe-411f-8fa7-12cecb22928b · inbound

Length Penalties Make Chain-of-Thought Less Monitorable cites this paper.

Length Penalties Make Chain-of-Thought Less Monitorable Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T08:06:10.856964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c6f5859-2199-4f0b-a129-13d2f68e69a2 · inbound

Length Penalties Make Chain-of-Thought Less Monitorable cites this paper.

Length Penalties Make Chain-of-Thought Less Monitorable Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T04:30:30.198277Z

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Unavailable: canonical work link unavailable.

Observation 22d43118-764f-4480-89c7-77bb223199be · inbound

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning

Reference 237

Resolution: unresolved; no resolver link, observed 2026-08-01T09:52:11.853588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.