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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:4b31adb9992e503b4ce4465a19692eb02339294bec35c99d95eee2d30c0d7196

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:fb6b1904e16990a286c1c990dfc243fd345b2ab8ad511a5f88947991a9ee39ce

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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source=arxiv_source observed=2026-08-06T19:56:07.574963Z digest=sha256:811ed40f4e23b76d4386f0a9addc907dc299618ff850e69fe05acdfc876c5a3b

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=sha256:822f42ddc441df08ddb5dec8f937200d7a71c61f9a0edbe7b9c6c922c3c49646

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=sha256:394d981613ec861a1662d8e5b0c7a90ca9e3b93737d38602de7188c08224ba6a

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=sha256:71451dda8c0cf9722c7f15c743532d3505139206e338a47787da8535f38fb653

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=sha256:9b7a0755e27378d1b7dcdb9adef187411e35c9102ed2d945d9cf439c3911c58d

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=sha256:4688b04e22d62ea0c233cc6f9ce2f4bd435653d0f53410c370c3710451fb95e3

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=sha256:61f5442a2dc967a7df90a5b13e0a5192c7b2885f1c5628f5681772f89ee7be8c

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:bd334217f15238eb06f08c4cb6ea6fe9387f8809a55794e2b14c063eff6c5009

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:a94001e33deda457c632dc090a9ae373c760cd394f40d420153467c5eab01cce

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=sha256:8845ff25f6c05711f1be4ec3bd9bd3b92a81c9c91d60394dbe38b1ff66832bfb

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:56:09.165310Z digest=sha256:d42cd76562757912a99cde71d0a2f4b86d114be499eddaed30e3a94a9d936a58

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:e1bad64cb1f5a9e43a4dabe49ef1f354ee805bd9f916a4cfb53afc630a5dfc57

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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source=arxiv_source observed=2026-08-06T19:56:09.437194Z digest=sha256:a72947f592622bf39e3ef5852d9f2745ae15814b983ad907b1b66b713710fa5c

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:f0a4880ef5686f18ee286288101a5d162d42733175d2ab47249fbce657284272

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:e52c2bc252d23fc0a2e1988efab48c8d56b453e1e21079e8b47e8062e057d574

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=sha256:4e419f8ccdc71c75a6509bbac0de785b842de676cf5fbeda14de04a260a472e9

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=sha256:5cb068f9fd26e94fbe0ed670f6d0c348184365552cafed839ca3d38e5a5ba6f8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T19:56:10.149719Z digest=sha256:d1c73bc86e71ff821e5371cfd35504e9fb62384a55b4fded90f3da9279a81c2a

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:ad72e40eee14c54dcdfbf33ab30e2569292299e525c6a6bf4ad22a872af066db

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T19:56:10.362683Z digest=sha256:6573d87aaca580449c442dfdac8f22fdff572457836e7f7a0ea14b83aa580465

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=sha256:83bcf27acec2a7eb65756419361350417f032c499703323751794c08039c2808

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:fb10cea4ef6b5f9d313adefeaa4f28915447dd294261b12d46b4d8d788954660

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:d048501f43d13e7d3041c44b10bb6a82af743f579a1b12468d17d8ec03c65422

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=sha256:11be1b6b4fe492e65aa5a3cabea4b3c87ac69ea92f95fdc5562eaa500f0fa05e

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=sha256:3aa6448bdf30259a2293fc4c7e4e83597381e64f7158cf559ed1a786a6bbaf53

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:e02c1259f5d62b4e0d660070623faeef6ccff37afb35db0533332920d511b060

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:f791f362069a24c32a2b52b3228bfff0abe868edcd3519b1184cb5888d8ed6d7

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=sha256:75089020242fbc3e40c1d47755332a1476660033ffc8ac440f9f74ef77d84ea7

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:e5cebd529cf2e2240e24ec2f2250f11244fe97a5a534c75e810a039a13a84daf

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:df6d15b07d68590130ec5cb0f47ec5aa257b366d26d1252f4511216b632a8be2

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=sha256:9f1c1f68bd88c4dc55867206484b1094a8df13606d71233b62399b2d97c90062

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T19:56:11.498597Z digest=sha256:d6bdbf36d9a7c5c9be3c462e94002527827b101c1d546005e0742e4e14c904dc

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=sha256:18f39e7377ef3f2bd42a73e7d9ee05e5acfd2000916d84c70977fc7a8195f873

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=sha256:8a62ca0cd7d08bde6fbac02aec1ad571a55c8eda5a83d6b570f530accd61e987

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:a6ff01c94687fe3bc8306e1ad2ddaceb7001e3dcb9d973b71c4c6e6a90fc7e5f

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=sha256:5562436fddb8e9d988d424cd4a7f585043bb643fb6116ff631d1b0672fb03d75

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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unresolved
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:fbdadd77c8954be2f43c265cd18c46888653644430e69cad42909ef9ba84e4c3

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=sha256:41e03307a3e69e376e52f9215cdd3fef7c3d68f2c57730db0027ae0144679fbc

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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unresolved
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=sha256:4ee9ea20782ff31256a456cc381308b145b2948581b76264398a110268ddf0ad

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=sha256:62efe2a287778f86446dc3fbdbf72edaf097cf0844c79f944d2aa921cf442f07

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=sha256:77acef76a561101180f32519348e296cf0151b01f29d629372747188e8f0f13f

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=sha256:90d11ceaed72e0fc763275e2ec542cd271664710761089a2a41d6fc632b93316

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:56:12.693765Z digest=sha256:e2a1cd7f79d73da2fd83c2bc9051263d10389fb4e74ee70ba1b67a0dc983fe7f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:f33afe903895ffb011beccf033897ccea0263de7a812a5be6b343aa9a16bbdb5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T02:30:42.407934Z digest=sha256:0bd092e34afb6dcbeacb72409e56f767390d3b69754c507a8db541ce013087db