Paper Citation Record · LEDGER

Optimizing Length Compression in Large Reasoning Models

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 11 inbound Pith citation observations for arXiv:2506.14755.

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

pith.paper-citation-record.v1
2506.14755 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:16:41.969791Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:43.839273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:26:22.299993Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy4
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f088494-e6d3-4e84-b081-e36e596379e3 · outbound

This paper cites OpenAI o1 System Card.

Optimizing Length Compression in Large Reasoning Models OpenAI o1 System Card

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:34.294760Z

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Observation b4439320-2078-4bf0-b3fe-86f786b38ebb · outbound

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

Optimizing Length Compression in Large Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:34.414892Z

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Observation 89d51a15-4e5a-4647-9fec-6f37330f7719 · outbound

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

Optimizing Length Compression in Large Reasoning Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:34.559238Z

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Observation 33c7ab18-a6ef-40bc-9d60-d1372ff176ce · outbound

This paper cites Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models.

Optimizing Length Compression in Large Reasoning Models Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:34.774873Z

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Observation 3e96a6a6-9cb1-4f5f-99e5-ba5ddc646335 · outbound

This paper cites CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

Optimizing Length Compression in Large Reasoning Models CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:34.874959Z

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Observation e9b21e14-5bb1-43b6-a3a1-7c78f6920f82 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Optimizing Length Compression in Large Reasoning Models Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:34.992049Z

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Observation f3584a7e-8a9a-4129-9cd8-a13062862e19 · outbound

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

Optimizing Length Compression in Large Reasoning Models L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:35.199105Z

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Observation 712f7048-528a-4983-8c02-fe24f208b870 · outbound

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

Optimizing Length Compression in Large Reasoning Models Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:35.304750Z

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Observation 0dea06ee-b610-4019-8a8e-b261135bf6c2 · outbound

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

Optimizing Length Compression in Large Reasoning Models Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:35.420864Z

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Observation 120bf619-4a70-4da5-8dd9-d6c89a99ea69 · outbound

This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

Optimizing Length Compression in Large Reasoning Models The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:35.589321Z

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Observation 1e88d015-97c9-42d1-abe1-132fa0ae08f6 · outbound

This paper cites Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization.

Optimizing Length Compression in Large Reasoning Models Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:35.851356Z

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Observation 93ea9e9c-6744-4ae5-ba05-57ccc23e01d0 · outbound

This paper cites Dast: Difficulty-adaptive slow-thinking for large reasoning models, 2025.

Optimizing Length Compression in Large Reasoning Models Dast: Difficulty-adaptive slow-thinking for large reasoning models, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:36.038609Z

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Observation 75a755da-d28c-4fb1-b311-69119183b68c · outbound

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

Optimizing Length Compression in Large Reasoning Models ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:36.272468Z

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Observation d4f074ad-f484-40d5-a52f-46a73029bace · outbound

This paper cites O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.

Optimizing Length Compression in Large Reasoning Models O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:36.460522Z

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Observation 2961ff79-d1cf-4858-8fef-0ab6c80564bf · outbound

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

Optimizing Length Compression in Large Reasoning Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:36.629497Z

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Observation 7f89dd32-f6ee-47d2-9bd2-b45f823a1ba2 · outbound

This paper cites Qwen3, April 2025 a.

Optimizing Length Compression in Large Reasoning Models Qwen3, April 2025 a

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:36.824756Z

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Observation a4175192-5b96-4246-9807-955760c3ef7e · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025 b.

Optimizing Length Compression in Large Reasoning Models Qwq-32b: Embracing the power of reinforcement learning, March 2025 b

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:36.954415Z

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Observation 9a06e2db-7bb2-4d27-af3d-2753ad4fb1a5 · outbound

This paper cites Yian Zhang, and Chris Alexiuk.

Optimizing Length Compression in Large Reasoning Models Yian Zhang, and Chris Alexiuk

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:37.050135Z

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Observation d85e9749-6942-477e-9bf0-09814794ec59 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Optimizing Length Compression in Large Reasoning Models Understanding R1-Zero-Like Training: A Critical Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:37.170150Z

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Observation 469a9ed3-d746-493e-b24d-b71a743a9376 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Optimizing Length Compression in Large Reasoning Models DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:37.300234Z

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Observation 1084e068-3583-46d5-afa5-f139d2c780c7 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Optimizing Length Compression in Large Reasoning Models Direct preference optimization: Your language model is secretly a reward model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:37.586642Z

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Observation 8e43b95e-bfea-4e51-ba53-23576d3ad9df · outbound

This paper cites an unresolved cited work.

Optimizing Length Compression in Large Reasoning Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:16:46.942335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf58d799-9ca6-40be-915e-140198c3ef84 · outbound

This paper cites Gemini 2.5 pro.

Optimizing Length Compression in Large Reasoning Models Gemini 2.5 pro

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:46.394029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78625bac-9355-4a45-bafa-f054c59bceb5 · outbound

This paper cites Phi-4-reasoning Technical Report.

Optimizing Length Compression in Large Reasoning Models Phi-4-reasoning Technical Report

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:37.970746Z

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Observation efb6ea44-37c4-45b7-8254-04f4c018447c · outbound

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

Optimizing Length Compression in Large Reasoning Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:38.087650Z

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Observation 3eb0a07e-f09d-43e0-bcc9-20b8c51841fc · outbound

This paper cites Code-r1: Reproducing r1 for code with reliable rewards.

Optimizing Length Compression in Large Reasoning Models Code-r1: Reproducing r1 for code with reliable rewards

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:38.240809Z

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Observation 4db18859-aa05-471b-904c-f18d7c90c1e0 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Optimizing Length Compression in Large Reasoning Models REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:38.344742Z

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Observation 99b6b155-0ea3-45c2-ace2-ab26c7811333 · outbound

This paper cites CoT-Valve: Length-Compressible Chain-of-Thought Tuning.

Optimizing Length Compression in Large Reasoning Models CoT-Valve: Length-Compressible Chain-of-Thought Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:38.481897Z

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Observation e02e288c-9bd8-498c-b2ba-06e14266c327 · outbound

This paper cites Training language models to reason efficiently, 2025.

Optimizing Length Compression in Large Reasoning Models Training language models to reason efficiently, 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:38.644310Z

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Observation d689a26d-22fa-4a44-90c2-c070b3a157bd · outbound

This paper cites Aytes, Jinheon Baek, and Sung Ju Hwang.

Optimizing Length Compression in Large Reasoning Models Aytes, Jinheon Baek, and Sung Ju Hwang

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:38.760328Z

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Observation e1fcd434-067d-4e68-99dc-ba21fdb8595a · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

Optimizing Length Compression in Large Reasoning Models Token-Budget-Aware LLM Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:39.050549Z

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Observation 4a6c70f4-7e4f-42f7-802d-5ed584658f60 · outbound

This paper cites Reasoning Models Can Be Effective Without Thinking.

Optimizing Length Compression in Large Reasoning Models Reasoning Models Can Be Effective Without Thinking

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:39.489542Z

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Observation c14916c8-48cf-44cf-a3bb-c64dedfcb783 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

Optimizing Length Compression in Large Reasoning Models Qwen2.5: A party of foundation models, September 2024

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:39.806016Z

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Observation ab962d8a-9425-4f46-872e-d90be2068435 · outbound

This paper cites Gemini 2.5 flash.

Optimizing Length Compression in Large Reasoning Models Gemini 2.5 flash

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:45.792290Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39688aed-efff-45b7-ad48-e0800b7fd641 · outbound

This paper cites Distilling System 2 into System 1.

Optimizing Length Compression in Large Reasoning Models Distilling System 2 into System 1

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:40.762333Z

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Observation 85106cc2-6c23-4b3d-95a9-82e2e17d417b · outbound

This paper cites The 23rd international conference on artificial intelligence in medicine (aime 2025).

Optimizing Length Compression in Large Reasoning Models The 23rd international conference on artificial intelligence in medicine (aime 2025)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:45.401357Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ff29671-5909-4025-b45b-11eadd088b61 · outbound

This paper cites Let's verify step by step.

Optimizing Length Compression in Large Reasoning Models Let's verify step by step

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:41.034189Z

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Observation 97c36842-6304-4b99-b20a-50e3df120191 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Optimizing Length Compression in Large Reasoning Models Training Verifiers to Solve Math Word Problems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:41.187901Z

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Observation b0d67b5e-915b-43ae-be87-af0b61220d2c · outbound

This paper cites American mathematics competitions (amc).

Optimizing Length Compression in Large Reasoning Models American mathematics competitions (amc)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:16:45.052372Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da846939-5b46-4311-aad6-93bc54a38fb9 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

Optimizing Length Compression in Large Reasoning Models Gpqa: A graduate-level google-proof q&a benchmark

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:41.599885Z

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Observation 1486e9fe-5aa5-4901-ae83-19def43b822d · outbound

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

Optimizing Length Compression in Large Reasoning Models LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:41.810990Z

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Observation 07bddb4d-edf0-4b57-a3f4-3caad4c9c18c · outbound

This paper cites Trl: Transformer reinforcement learning.

Optimizing Length Compression in Large Reasoning Models Trl: Transformer reinforcement learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:41.969791Z

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Pith citing papers

Observation f8735614-7068-475b-93c4-0fa1d1519b56 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Optimizing Length Compression in Large Reasoning Models

Reference 125

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:40:41.983748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc6ab941-4ace-481f-bf7d-10f787ff3438 · 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 Optimizing Length Compression in Large Reasoning Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:43.839273Z

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Unavailable: canonical work link unavailable.

Observation 6f69fd12-2d08-439a-a3b7-f2c67786832a · inbound

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning cites this paper.

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning Optimizing Length Compression in Large Reasoning Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:37.093116Z

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Observation e4466a45-860c-4843-ac05-09dab89649c4 · inbound

Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training cites this paper.

Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training Optimizing Length Compression in Large Reasoning Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:08:11.949845Z

Source-reported events for the cited work

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Observation 30e538f9-3651-454a-afb4-d2086c23c59c · inbound

DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference cites this paper.

DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference Optimizing Length Compression in Large Reasoning Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:32:23.125817Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6ceeae9-b58d-436c-8a4c-899f5ae407d6 · inbound

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure Optimizing Length Compression in Large Reasoning Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T05:43:53.133475Z

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Observation 45d69a29-7726-45c5-8cff-81d125af72f0 · inbound

Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning cites this paper.

Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning Optimizing Length Compression in Large Reasoning Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T20:44:44.123438Z

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Observation 0809db36-c9f9-448e-83e8-83e98ef3a1c4 · inbound

Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training cites this paper.

Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training Optimizing Length Compression in Large Reasoning Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:35:59.740619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 916a2bcc-8e1c-4cc7-a6a6-229d9c34f5d9 · inbound

SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning cites this paper.

SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning Optimizing Length Compression in Large Reasoning Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T22:32:44.405373Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1038563c-6048-40bb-a459-256a1afe1383 · inbound

Adaptive Latent Agentic Reasoning cites this paper.

Adaptive Latent Agentic Reasoning Optimizing Length Compression in Large Reasoning Models

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:26:22.302073Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b0eb710-8d34-4a72-aadd-14e25293efe4 · inbound

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization cites this paper.

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization Optimizing Length Compression in Large Reasoning Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T11:17:40.210209Z

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Unavailable: canonical work link unavailable.