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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:07.478095Z digest=sha256:2a7eedf2bd3c9a8e1c9f6d23fe1eeffd0b4e8b7021c5202c01d3c43f706b032b

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

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source=arxiv_source observed=2026-08-06T19:56:07.510678Z digest=sha256:645fe9e7cfd0fa2db38d200d4397bee43eabd8be526d88ff6ca54ddffa76d265

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=sha256:3b86c09a1a603b930b6c2ca8773ed4ccdabd739470aab7b8e9db6eb3837fa909

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:07.687766Z digest=sha256:4b7297309c25348ce6501d72a163709f20509111b8923a18ef9a744f74b04e01

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

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source=arxiv_source observed=2026-08-06T19:56:07.843931Z digest=sha256:1bb31b69f89acc0a57e2d53faf1a151cd8c352639db685fb2502437d2c58ca0c

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

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source=arxiv_source observed=2026-08-06T19:56:08.050411Z digest=sha256:d588ca37b8c03e17e1a289adae0d974e98e8c6fe855b264bf4cfb82cf45ad0f8

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=arxiv_source observed=2026-08-06T19:56:08.287459Z digest=sha256:107dd058b374bda750c62415134315df13a84e25a77b154407f7ca3702a7d5c4

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:ccb6f4e849832a04d4ad5b52d78b2c573801a75e0938fa1b81ad0def9cae3403

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=sha256:2848362351510450880dd4bf20027542c1167c4237e9b8ab8e11f9b711f1fea3

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:08.760553Z digest=sha256:096413bb0d4abb87f288158b658354fd0f3b2cf41536318848de864ec96e6392

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=sha256:833f62577d2021c6cec834ea6a772af0ab22681897d10227c5e5dce1865e3204

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=sha256:518b11da2a2476a93fa8d54239a97eb407c3990b2a53fd0c462331dceb2880e3

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=sha256:58d20ee9c2a6d91e738469cbe0dcb4323578f00e935a7783178b146fa2f44f59

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:daabdca81013b099937cc18d1318a651ee937c029b90394e70c8f118d5262885

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=sha256:6be22d1b87f68fc75b5e4c1d97edd096323cebcd930606dc6df5165f18155e8c

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=sha256:0b992f0a4e6ef0c7262668dc77a95bc638fde737b1a807d7eedf3afbbd1ab766

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=sha256:7f458f877403d10763a4bd3d1a55af54c498713d9437368651e487f0356ac5b8

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:f8494a83565cf62e23a0cf1318d999c1dd9f5041a476296b38b68f78c9941f90

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=sha256:26cb85ca92faffbbe2159418fc4885e4c3f41b0c717ff699a764a0bddc87155f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:56:10.149719Z digest=sha256:49541798798b5264675890daffb67dfff760686fa2048b936c643011e76d8aa6

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=sha256:8ca557a5e722c2cab423a68e0c8e927c90441270eb9d00cba5558419f3c71794

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:56:10.362683Z digest=sha256:c0ae1e2c7306e37e92ada55a5661bc25200913ff6f062c6beedaa37fc7aaae78

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=sha256:32ed91a69a42faf1a6e8d85155445eb1d7f25a571489e009187ac7e8932c06c8

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:decb929eb4a6efd32265703854c58a2d38b8e87e7690ca49dcf516cf8379483b

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=sha256:1c4e19c7133fe37b0487de5f3f91067fc6c0f9134b9eb88d3f0f5036d52ea4c2

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=sha256:04df7f24ac8185f92912f400063bccd976e92e32626a89a4366bc34b44f7545e

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:d7c6fca6df72199c1836815d9932bbda6a7acebda154f126b12a1cf31d500926

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=sha256:3be3702329c264e6ae11b485349b34c2fcc80d96ecd63de5ca9591fe7a8259ff

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=sha256:8ca99d32ffa3676ce66230d5261b90d9962b4340388907c64e53e0843efab188

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=sha256:0a6b9b5eab088dcc70dd0360b26792c1e33bc58a8ea1123fe4a1221ba1cb1d94

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=sha256:0fa88e96722c9ccdd6b3eee5b5f5d6aaeb38212d8960d87c0c3f4e34cafd94b6

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=sha256:7a8b8816c7df27189ecba706e0d20a87b8c630edb765938046a684938970e840

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=sha256:3405f16ad1d5437c1f1637ceec499feaade231f73b5d11bf1d0e5a60ef9c73ce

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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raw_fallback, observed 2026-08-06T19:56:13.632257Z

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.

source=arxiv_source observed=2026-08-06T19:56:11.498597Z digest=sha256:4012be0c4dbb5565dbb73d3af50542c73eabdf05a6d0efbc2fcaa5166f6aeea3

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=sha256:4b35e8788bc04b6fa9d5ae3f597a8c4d0982132cd3ea4db6cc84e9f1befe0d42

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=sha256:9ce3f92fa825a2162c2b154cb0b9095b24ef95d794db6e952b8aa785bc04ed0a

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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source=arxiv_source observed=2026-08-06T19:56:11.857325Z digest=sha256:23b4d0cd8d42e91c34b77b542e43448d8a122e1910fa88ef05729ebbad458243

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:cad4df503aff429677b7baf96d24efa40122ee45254d5b64eb88e3e67e8d523a

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:e3036dd1a0b5f6ec000f378fc84b1ec8ad107c70048f1feca2c1fa7d192c47b6

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:d7b4bb26e075e80a28c50f639e3a9592ae6ef9ea2f3f1cafd6e9b7ca88955020

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:b91fdc956048a9c9f8f099b6132731a7a0a6907fb9b45d455a04ea9f9e42c54d

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:f2f115f96fbf195ea25013872b06766a456f9194a1ed4ac9f1290527e1a798f4

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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source=arxiv_source observed=2026-08-06T19:56:12.603733Z digest=sha256:06a5e0fc994614258f0f15e2b722d0c7ecbe630d338a795a1c7869b75f3e2acf

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=sha256:67558555dbcce721143155de5f9224552966f5720bb993d23b28cd0de04e9f99

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=sha256:2af9c2ff1589fd3fc79922f61ee79745d64a62a32c4554d929c8609ddb75cd6f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:cbe461fa86f734f85e107e5f91a947b6f4180c7af34a134d79e4a126e8a9865f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T02:30:42.407934Z digest=sha256:fde4f1578d6df59264fea0916c1ee0ef66f12f44a7e95d2f748b719daeeb74ed