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Paper Citation Record · LEDGER

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2507.04348.

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

pith.paper-citation-record.v1
2507.04348 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:56:12.693765Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T08:40:40.910461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:40:41.519148Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87c4d026-d001-4594-9a12-152d9bd6882a · outbound

This paper cites , " * write output.state after.block = add.period write newline.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control , " * write output.state after.block = add.period write newline

Reference 1

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no resolver link, observed 2026-08-06T19:56:07.478095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:07.478095Z digest=sha256:5e95e1f115884af1a7d949ff3dfa854bf57a31041b48b04386098d137a98a255

Observation 17cfd17f-256f-49e5-825d-079ec7b32db6 · outbound

This paper cites write newline.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control write newline

Reference 2

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no resolver link, observed 2026-08-06T19:56:07.510678Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:56:07.510678Z digest=sha256:2cab8200e3301b59d4affcf015d9c740b275cfe8762c05160c3f82ab37cb38d0

Observation 5a9320c9-b1b2-4ba7-8314-9d125f75acf1 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:07.574963Z digest=sha256:4edf71e138d814eff0b38bcc3eaeceedeb3b763042ff08c179cbe9c1e1171c63

Observation ba270698-182f-4c97-9647-28078580cd1b · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-06T19:56:07.687766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:07.687766Z digest=sha256:036c1af7befaf6cc5742c722e9132d8d2b71aa6aca71f7f62b830ea0eac80229

Observation 8962900f-e440-4b1d-acb8-36b18ed92c29 · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:07.843931Z digest=sha256:1371d15bab6b4919350bb73e8bc574790ab0b55c8cba0b2ba86818204fd1e8d6

Observation 68c843f2-3526-4953-90f4-c1d7b75e6176 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:08.050411Z digest=sha256:3337e160e8142da20b7219b832981948056a82183b0b7e39207a7d5b3cac1557

Observation 5b041dec-6184-4ac8-8035-3c935f3d0ce6 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:56:08.287459Z digest=sha256:518dec92221214e8f7c8004235fa21741fd474c235dcbf148f885eb8a807b23c

Observation 7bb425ca-7757-4334-8401-3f1cc9aa14f7 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 8

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source=arxiv_source observed=2026-08-06T19:56:08.440220Z digest=sha256:840dd2d088cc69e8aeb7df6aae8029628f53160e0800c4ed4aa8f95610ee21d9

Observation 6d898a92-237a-487e-9dd3-77011c2e65ed · outbound

This paper cites Thinkless: LLM Learns When to Think.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Thinkless: LLM Learns When to Think

Reference 9

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source=arxiv_source observed=2026-08-06T19:56:08.680429Z digest=sha256:55efdb786cac4bd26c954cc67982e10a8d604c08cb6058e0e83441492b95518a

Observation 77f159cb-46bd-42e1-9df3-81ab49be877e · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:08.760553Z digest=sha256:799709ccd6b020b284e2963229e0a608babf4c02f1a1d7585047f40e6c33107b

Observation 957e12f6-f41d-494b-b36b-0271a1856491 · outbound

This paper cites Efficiently Scaling LLM Reasoning with Certaindex.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Efficiently Scaling LLM Reasoning with Certaindex

Reference 11

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source=arxiv_source observed=2026-08-06T19:56:08.863416Z digest=sha256:8e06365658beb3f8c1b423a745f53a84edaa7e5765ffd563425004be2e230c5a

Observation c16388d5-345d-4fd9-bdb4-654fbeabd5ab · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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source=arxiv_source observed=2026-08-06T19:56:09.011407Z digest=sha256:48dd4086dcbedbc87888f9a1eb73f3519df93aaf642047398ba0e90c8c6ef57b

Observation 585537f7-73a5-4327-b89f-827ce3574e73 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Token-Budget-Aware LLM Reasoning

Reference 13

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source=arxiv_source observed=2026-08-06T19:56:09.165310Z digest=sha256:5b569b38be79a0002c540f646783b8fa78bafff762e6c22532c556e63f5c41bb

Observation 50d8b192-8840-4661-bb41-be20bb559d74 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 14

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source=arxiv_source observed=2026-08-06T19:56:09.322919Z digest=sha256:5543d5ae746e30e71b91d44daa2e9da655d303e96b7103aefb436484d3490fa0

Observation be5ae241-a737-441d-823b-1c39f088cc8c · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:09.437194Z digest=sha256:1f6f5a54029d2e545646d7f1fee12ac59a19f3d96a25c8ed0a56a1aee6505719

Observation e888a6d6-7f90-4269-ae9b-a588a6ab494f · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 16

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source=arxiv_source observed=2026-08-06T19:56:09.525446Z digest=sha256:2b33c00b2a9a27ece3ed4e47be874ecce7c8aa384de841140cb03c944fe7f54b

Observation dc2ce4a3-d2eb-4e5b-bdf4-b1e2c8f058d3 · outbound

This paper cites J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; Chen, W.; et al.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; Chen, W.; et al

Reference 17

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source=arxiv_source observed=2026-08-06T19:56:09.655142Z digest=sha256:8513dda622098ecc7511572e1dd177d62ca9c2ee3d778999db94a47a0abb441d

Observation e1ad6237-7150-4f3f-8a83-291c0029ce82 · outbound

This paper cites OpenAI o1 System Card.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control OpenAI o1 System Card

Reference 18

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source=arxiv_source observed=2026-08-06T19:56:09.810675Z digest=sha256:c987cbff8c06b4c130fab4709d45a17030f298cd52545030b3aa57f92e7a35ae

Observation 3f601a50-bbf5-4966-b712-918ac98c0442 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 19

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source=arxiv_source observed=2026-08-06T19:56:09.972378Z digest=sha256:d46394ef541ca4219c3813324f64236622ad5891fb0460ba483d01d6a5ce632a

Observation c483a754-4f3b-4c62-8cfe-9f9bcfdfdfb4 · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T19:56:10.149719Z digest=sha256:c62c31056afb12b1ae2740fccc7f93df4f8f4fc6b3ee06eea06e429966eef48c

Observation 25cee0b4-c1d2-43d4-a887-187f91f61ddc · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 21

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source=arxiv_source observed=2026-08-06T19:56:10.289215Z digest=sha256:c91205cc165ff92a0b82ad3e20bb23a1b1b0cef78d69f73955082a9b95983962

Observation c192bcdf-1286-443a-8d2c-40228131030a · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T19:56:10.362683Z digest=sha256:dba0a6ab46f96076b9aea6ddd36316df96fb13f3a9d498a03f4ad4ca90593678

Observation 805c8b2d-1fc1-4513-8ebf-9c6fa38f3e21 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 23

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source=arxiv_source observed=2026-08-06T19:56:10.448326Z digest=sha256:79a8cf293ce6a20072c641534b34f45074e6db3fddf64c91943f850297b4ef97

Observation 3d73eea1-4f5d-419a-99a8-0a1d1075a661 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Understanding R1-Zero-Like Training: A Critical Perspective

Reference 24

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source=arxiv_source observed=2026-08-06T19:56:10.535917Z digest=sha256:76be8fbbeabd783d84822666618eec539caa6fc61a75b6f3d783977837fd8b74

Observation a79c059b-a4cc-4707-a87c-17c37dc87bae · outbound

This paper cites Decoupled Weight Decay Regularization.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Decoupled Weight Decay Regularization

Reference 25

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source=arxiv_source observed=2026-08-06T19:56:10.649664Z digest=sha256:9e48b81a0d7228692292167e04dcdb2da7fc4387e1124f706a5036c9072f9930

Observation c729fc40-e11e-43ca-8a04-89ac9c5ada66 · outbound

This paper cites AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning

Reference 26

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source=arxiv_source observed=2026-08-06T19:56:10.766374Z digest=sha256:743d464947949488cd69cbb696fd0009b53faec66118ecdd785b60787026d8ab

Observation 00c8ce7c-3dd3-42e8-b0ed-539d688e4a89 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Reference 27

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source=arxiv_source observed=2026-08-06T19:56:10.895596Z digest=sha256:1263129559cd7f614403999d3f9c6b1ec5e46927d052234e5894d445e447be49

Observation dacf0e43-456d-4498-be74-26346cade428 · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 28

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source=arxiv_source observed=2026-08-06T19:56:10.901840Z digest=sha256:82366e67af4930f11ab831ba0cbce0426586ea25689904ced562b609c339ef41

Observation 69ce7d35-5c89-4a97-931c-39020b5c5ed6 · outbound

This paper cites Y.; Roongta, M.; Cai, C.; Luo, J.; Zhang, T.; Li, L.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Y.; Roongta, M.; Cai, C.; Luo, J.; Zhang, T.; Li, L

Reference 29

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source=arxiv_source observed=2026-08-06T19:56:10.910223Z digest=sha256:480ce5e4ed09e9e35ad563faf78377ef0a27e139a7da5d09cf8642716c5df88c

Observation 46c90150-b427-48a3-9694-3b22a8b26fe8 · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-06T19:56:11.021958Z digest=sha256:c48da3134335c5ff24e006a2f4ebc2355e52f5bad012afaf34a24ecea5189233

Observation 09bbf56f-cd31-4e62-90d6-1cf26dbaa500 · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-06T19:56:11.144411Z digest=sha256:8a5bd1117d4dae4698c64f6487043c9d23121ca6f5e4c2a85cb679b3309ee971

Observation e14c2f65-26f4-4c82-a7b8-537b3e4dca32 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 32

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source=arxiv_source observed=2026-08-06T19:56:11.260842Z digest=sha256:5bbc99da72cac4a82b53d8148c7b7aaa438b8ed3fb0a54cd9967c8c705a46344

Observation 70af886a-f2c4-4f47-8861-3c05ad305184 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 33

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source=arxiv_source observed=2026-08-06T19:56:11.387447Z digest=sha256:bb3dbe1b518ec0b28cec53281533904f8fa58364968ac959e3a95bcefb9d1aea

Observation 7cddc7c7-6a3e-42f6-8473-ad49d7e386af · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-06T19:56:11.498597Z digest=sha256:22ae8dabc52c02f79896bfd9eec41ad23bda1b0364d5129d0f2c6acc0d1419e4

Observation 0b9b5249-c3bb-4d48-85f6-af76a6bc3c5b · outbound

This paper cites Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools

Reference 35

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source=arxiv_source observed=2026-08-06T19:56:11.606052Z digest=sha256:08377247395cb56b85cda8e8ce90003382a2d0145a22bdb36125cc2f80cf8d4d

Observation f59bcfe8-425b-472b-85b4-598f2472217c · outbound

This paper cites T.; Wang, W.; and Li, W.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control T.; Wang, W.; and Li, W

Reference 36

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source=arxiv_source observed=2026-08-06T19:56:11.746816Z digest=sha256:6e9175f1b96fadaa6d8f95c243d1ce3ae05bece1ada380f7411fe4296f6d911d

Observation fedba185-06ba-4684-8cad-ba78f6dfc5ce · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Chain of Draft: Thinking Faster by Writing Less

Reference 37

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no resolver link, observed 2026-08-06T19:56:11.857325Z

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source=arxiv_source observed=2026-08-06T19:56:11.857325Z digest=sha256:8312cbf07bbeb41ffc8240213162c0aba72d7b9dc3384ebfb945c74a82f61ca4

Observation 87045524-8bb2-49f1-85a4-61f17bc3a6dd · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-06T19:56:11.961882Z

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source=arxiv_source observed=2026-08-06T19:56:11.961882Z digest=sha256:e7bbd0b675ab4feef0b80f67fe4c9ff0050bc9f2ec58489a09d33cb39c300962

Observation ad0bc26a-f805-44a1-91ec-df47d777ea30 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 39

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no resolver link, observed 2026-08-06T19:56:12.062937Z

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source=arxiv_source observed=2026-08-06T19:56:12.062937Z digest=sha256:7671770b1ab58316d1057f43daedf96d72691740ddb12b44ab3cc3f8aa4330bc

Observation 039ddf1c-aa30-4033-81ba-d40b5cc4215b · outbound

This paper cites LIMO: Less is More for Reasoning.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control LIMO: Less is More for Reasoning

Reference 40

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no resolver link, observed 2026-08-06T19:56:12.170017Z

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source=arxiv_source observed=2026-08-06T19:56:12.170017Z digest=sha256:337b28af4ba9af00035d48d76f1abfa96fab6d4de98f03877363ceb7b10c4dfb

Observation 33a4b96d-a482-4276-beae-6d0827f84a70 · outbound

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 41

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no resolver link, observed 2026-08-06T19:56:12.302581Z

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source=arxiv_source observed=2026-08-06T19:56:12.302581Z digest=sha256:135abb9ea124b1a20bae6f62ab3f776d5096fe62b4efe2cf3c78b464455e5551

Observation 8c3b4480-5a32-4ed7-b9ec-caec46455731 · outbound

This paper cites AdaptThink: Reasoning Models Can Learn When to Think.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control AdaptThink: Reasoning Models Can Learn When to Think

Reference 42

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no resolver link, observed 2026-08-06T19:56:12.451362Z

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source=arxiv_source observed=2026-08-06T19:56:12.451362Z digest=sha256:b841356551ddc8276b095443b9a28bf24eb3b95989bcf13fe92ec96f04370920

Observation a00afbad-86ec-453f-8309-4dc10bd4834f · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-06T19:56:12.603733Z

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source=arxiv_source observed=2026-08-06T19:56:12.603733Z digest=sha256:bd204ed46d076a837e2f042c471353787d7b98e50535ce70e31f1d3cc325f141

Observation d667b62d-7578-4aef-b5c6-9f713aae04d4 · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-06T19:56:12.614141Z

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source=arxiv_source observed=2026-08-06T19:56:12.614141Z digest=sha256:95ac5d4acc08ce0b0e6c5f11a2a3dadf4acf1a25644bfe85523470a50fe1ff72

Observation 75aab90b-63ca-490d-aafd-8663cadd0091 · outbound

This paper cites an unresolved cited work.

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control Unresolved cited work

Reference 45

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no resolver link, observed 2026-08-06T19:56:12.693765Z

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source=arxiv_source observed=2026-08-06T19:56:12.693765Z digest=sha256:b6e8373e72ad5d201165fd11843fecbde922fed6d42d9767099129eca21c24de

Pith citing papers

Observation d2f968aa-8abf-4763-a7f7-005cf66bfd4a · 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 SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control

Reference 254

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:40:41.521904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:42df25d274b2c408e460e6e2ec6915afb0c56961122e1a462374baa474baadca

Observation 37bf9325-8400-4a28-8c05-6eeb25e102bb · 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 SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:31:16.824046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T02:30:42.407934Z digest=sha256:73ebe846cb5dd528c46a3f36becd600ad85a747f6c1ce699e3797957897c0c0d