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Paper Citation Record · LEDGER

Token-Budget-Aware LLM Reasoning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 82 inbound Pith citation observations for arXiv:2412.18547.

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

pith.paper-citation-record.v1
2412.18547 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 82 of 82 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:45.249644Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b979607e-2f2c-455a-a6c8-23b4552981bf · inbound

Disentangling Memory and Reasoning Ability in Large Language Models cites this paper.

Disentangling Memory and Reasoning Ability in Large Language Models Token-Budget-Aware LLM Reasoning

Reference 16

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source=arxiv_source observed=2026-08-12T16:25:36.865722Z digest=sha256:4b6e9250b78b047cc22d606094b8bc55294b96ee567dbb8e8498ee836a8cf592

Observation 09250be7-dc9d-4dd9-8b7c-4f6245167105 · inbound

Efficiently Scaling LLM Reasoning with Certaindex cites this paper.

Efficiently Scaling LLM Reasoning with Certaindex Token-Budget-Aware LLM Reasoning

Reference 55

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source=pdf_text observed=2026-08-10T23:09:44.531810Z digest=sha256:a771020d944f344300d0462e2112517d51b07d633b23e9c3ae32ea56cacf7387

Observation c9d5b32a-a009-4721-98c1-09a38d78502e · inbound

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

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Token-Budget-Aware LLM Reasoning

Reference 279

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arxiv_id, observed 2026-05-13T15:51:29.412457Z

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source=arxiv_source observed=2026-05-13T15:51:29.022336Z digest=sha256:d46aa46ee9612f4c43d9b553aa8a2098f630c78804d4ab5e0310f1e63212ffc5

Observation af0384d9-699a-49bc-80fe-f06ff7338649 · inbound

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

O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning Token-Budget-Aware LLM Reasoning

Reference 7

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source=arxiv_source observed=2026-08-10T17:09:06.770959Z digest=sha256:d3ae3b5c36c7e5930b9f5581254dc8219194cef05dd53a5fffab1f19a51c4848

Observation ea4e6788-c37c-4a2d-9409-16197e3115e9 · inbound

Emergent Response Planning in LLMs cites this paper.

Emergent Response Planning in LLMs Token-Budget-Aware LLM Reasoning

Reference 16

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source=arxiv_source observed=2026-08-08T16:18:48.003532Z digest=sha256:34875ee1e9c425ca6e2cb53e2265cf8f90615a1438a2d244985a44e567122118

Observation 646c56ac-be82-4b54-aa93-5c265b8a8a78 · inbound

When More is Less: Understanding Chain-of-Thought Length in LLMs cites this paper.

When More is Less: Understanding Chain-of-Thought Length in LLMs Token-Budget-Aware LLM Reasoning

Reference 19

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source=pdf_text observed=2026-08-08T13:23:22.060551Z digest=sha256:b67531cf9df831937fd3dbd531de29510533ac2da45193dcbacc4a9ca92649c1

Observation bbecaa2a-0256-4441-80ca-a07ce697f010 · inbound

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

CoT-Valve: Length-Compressible Chain-of-Thought Tuning Token-Budget-Aware LLM Reasoning

Reference 14

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source=arxiv_source observed=2026-08-07T20:57:42.038175Z digest=sha256:37dab78182ad86e060276af72089d2acfef81dcf2f8984fe6709945d5291ed9e

Observation 659d2d1f-c23c-445f-bb6a-a539263c7885 · 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 Token-Budget-Aware LLM Reasoning

Reference 236

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arxiv_id, observed 2026-05-12T08:40:41.460813Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:7f3a475221f2a9e1ba7e35b770f4899d76d250645dcedecd9a8e7da808e1da94

Observation 58ee8975-3092-4724-9cd9-6dd5b4bbe2b5 · inbound

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

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Token-Budget-Aware LLM Reasoning

Reference 58

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source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:5e8a20a6d833f412bfb06111dfb6333506578f9410343eea1e9022dc228c5a04

Observation 2133311b-2ba5-4a95-9cb0-067ff6bcced4 · inbound

Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models cites this paper.

Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models Token-Budget-Aware LLM Reasoning

Reference 9

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source=pdf_text observed=2026-08-16T12:07:45.249644Z digest=sha256:bb7ccad8b0a1f2b9dc2b1d69bb8489bbf630f091b6ac18dfb3aaaee51b44c119

Observation 0f6e5f38-68fe-477c-a50f-34b4a310256f · inbound

Generative AI Act II: Test Time Scaling Drives Cognition Engineering cites this paper.

Generative AI Act II: Test Time Scaling Drives Cognition Engineering Token-Budget-Aware LLM Reasoning

Reference 105

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source=arxiv_source observed=2026-08-16T12:02:43.029116Z digest=sha256:39f3a0f632db94557d1803889e6ecccd68298f3576164eaaa8e34588384daee6

Observation 55db6f5e-4f8b-4208-8283-d7a4d430b138 · inbound

An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint cites this paper.

An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint Token-Budget-Aware LLM Reasoning

Reference 14

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source=arxiv_source observed=2026-08-16T11:53:39.916324Z digest=sha256:a7f85f21053028ec632977aeb7e4e8e3cf7da711c1e7c332792a6ac63f589e2a

Observation 7b2ebbc9-d2b3-4a28-b17b-f053be4200ba · inbound

Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs cites this paper.

Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs Token-Budget-Aware LLM Reasoning

Reference 9

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source=pdf_text observed=2026-08-16T04:55:02.764733Z digest=sha256:c0e994b1f2c2a52d9802bc27b076e250d5ae1a02026e63e7673691fd2422b30e

Observation 1f9b2ec1-a5ae-4509-9185-ff4440967080 · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law Token-Budget-Aware LLM Reasoning

Reference 31

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source=pdf_text observed=2026-08-16T00:48:17.562120Z digest=sha256:62cc5ed4ad505ea1f1193622a4294195b8606d0b1411d3fa63172b00602e60bc

Observation 312df5cd-fd0d-4ffa-bfb6-15397c5ba351 · inbound

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models cites this paper.

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models Token-Budget-Aware LLM Reasoning

Reference 45

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source=pdf_text observed=2026-08-15T22:16:38.286632Z digest=sha256:990f0ae8e6023f9059623e39297606894d8a6e35c7b2ef9b14d4ad66fe570b2e

Observation f0b5292a-738b-42b2-8c1a-a7f835de7063 · inbound

Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning cites this paper.

Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning Token-Budget-Aware LLM Reasoning

Reference 13

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source=pdf_text observed=2026-08-15T20:52:27.677819Z digest=sha256:ca317fc01377efa7c61f116683bfc6f5a29e7b48e674ef97ba3f9ab8bc2b254e

Observation 488fd659-67ff-4b68-93a2-a8b7ded2f8f4 · inbound

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

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning Token-Budget-Aware LLM Reasoning

Reference 10

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source=pdf_text observed=2026-08-15T20:51:49.249126Z digest=sha256:5b05128dfa3381db3def484dac721bdacbed00af632c920b6eeed727cdd3fac4

Observation c4527e8d-3ce6-4cf2-b160-b8105b570bd1 · inbound

Thinkless: LLM Learns When to Think cites this paper.

Thinkless: LLM Learns When to Think Token-Budget-Aware LLM Reasoning

Reference 13

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source=pdf_text observed=2026-08-15T20:20:19.476509Z digest=sha256:db36671f4f08d74fe52c397363469c70b3d2fb2b67778b2df5922b90af51da8a

Observation 330eb333-aa86-4970-837c-4b399af8a3ae · inbound

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

AdaptThink: Reasoning Models Can Learn When to Think Token-Budget-Aware LLM Reasoning

Reference 8

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source=arxiv_source observed=2026-08-15T20:21:29.302623Z digest=sha256:c2b907d76d06632fe61634bfa670be5dbb3717f6f54850bbc960e6177f40b3ae

Observation e0de894f-502b-4ab2-9710-ef5f52d0ae58 · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Token-Budget-Aware LLM Reasoning

Reference 47

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source=arxiv_source observed=2026-08-07T15:36:06.266706Z digest=sha256:582c57b8b47fd68442817546e3c9d4cd454b8900f909a67dba88e4daf6c7dc3e

Observation 915989a3-4a12-41d2-a951-fb2e8e3217ff · inbound

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning cites this paper.

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning Token-Budget-Aware LLM Reasoning

Reference 43

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source=pdf_text observed=2026-08-07T15:29:14.970384Z digest=sha256:7fe12dfb622484e2f6138f997838cd5307603c99ab8b94035d92bc61095e65eb

Observation 50be68a5-40f7-4b38-9608-f33181707c9f · inbound

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning cites this paper.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Token-Budget-Aware LLM Reasoning

Reference 11

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source=arxiv_source observed=2026-08-07T15:25:47.430493Z digest=sha256:cc42177181d6bd748fc1bc6683c372a1a30e0b8017bd9179d5f4e9f6e339baf6

Observation 6b101f41-6384-43a7-83d8-c41f71c93794 · inbound

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy cites this paper.

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy Token-Budget-Aware LLM Reasoning

Reference 10

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source=arxiv_source observed=2026-08-07T15:17:50.800387Z digest=sha256:407ffdffe2695bd9f40397acfad34ddc5595e3b7d7958fafd454e19a6a707b39

Observation 740c33b5-9cfd-4f7c-9fa0-4cc1ef58134e · inbound

Search-Based Multi-Trajectory Refinement for Safe C-to-Rust Translation with Large Language Models cites this paper.

Search-Based Multi-Trajectory Refinement for Safe C-to-Rust Translation with Large Language Models Token-Budget-Aware LLM Reasoning

Reference 11

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arxiv_id, observed 2026-05-22T14:36:40.941635Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T14:36:14.709972Z digest=sha256:30859c3a1f9a73e52facf5220110e9aaab7e0649980459e7a1b71b5bddb78da5

Observation c7b8289c-19b0-48b7-ba03-764259908cdb · inbound

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling cites this paper.

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling Token-Budget-Aware LLM Reasoning

Reference 7

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source=pdf_text observed=2026-08-07T15:00:35.696509Z digest=sha256:3073f21e02e4ddda3ddcf768b059f4264dfa4eb662e9f4b44e9268a3972bf82c

Observation 88f665e6-9f91-43db-87e0-b8024bd71110 · inbound

VeriThinker: Learning to Verify Makes Reasoning Model Efficient cites this paper.

VeriThinker: Learning to Verify Makes Reasoning Model Efficient Token-Budget-Aware LLM Reasoning

Reference 14

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source=pdf_text observed=2026-08-07T14:42:11.476192Z digest=sha256:4c2cb6166212be6096856bfa6a8534de61fae06d1a904734212e61b36b73ab88

Observation b90ca9c3-e075-477f-9356-016a9a549240 · inbound

Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards cites this paper.

Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards Token-Budget-Aware LLM Reasoning

Reference 10

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source=pdf_text observed=2026-08-07T14:37:01.537382Z digest=sha256:6bed9fe7078d80990773a03079ce93f73b6a8fb3e60e54c4b062081ffe58770b

Observation cd22b086-98c1-48f1-a84f-6057f7ca93a9 · inbound

Efficient Long CoT Reasoning in Small Language Models cites this paper.

Efficient Long CoT Reasoning in Small Language Models Token-Budget-Aware LLM Reasoning

Reference 8

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source=arxiv_source observed=2026-08-07T14:36:43.762572Z digest=sha256:d97703d6e282aa6b47a3443a9774dbd36b305ed9d39bed47d9647924bf017314

Observation e9e33716-a22a-4a33-b8ba-e89bc807d2c1 · inbound

Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting cites this paper.

Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting Token-Budget-Aware LLM Reasoning

Reference 39

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source=pdf_text observed=2026-08-07T14:12:23.002106Z digest=sha256:f6d2f378c4fbe25f39eaf83c1319694ad6f4632e729186c66b8f14a193b43968

Observation 483f4a1e-f312-4f72-9254-651d226aa27c · inbound

Can Past Experience Accelerate LLM Reasoning? cites this paper.

Can Past Experience Accelerate LLM Reasoning? Token-Budget-Aware LLM Reasoning

Reference 15

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source=pdf_text observed=2026-08-07T13:53:56.318910Z digest=sha256:958bff714ddd7bc67461d4d33ac75ed0c64c224fcd3ba8a91355380ce16e44bc

Observation 251f3220-cc74-4986-a428-803ed2860738 · inbound

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning cites this paper.

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning Token-Budget-Aware LLM Reasoning

Reference 14

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source=arxiv_source observed=2026-08-07T13:54:25.988372Z digest=sha256:76a81569646644a6dbae55183b703f4f6f5b4d0cbc622e8c6f6f9e41bf5ec13e

Observation e7fa8cc1-75ad-43ec-82b9-63bea8c08157 · inbound

PixelThink: Towards Efficient Chain-of-Pixel Reasoning cites this paper.

PixelThink: Towards Efficient Chain-of-Pixel Reasoning Token-Budget-Aware LLM Reasoning

Reference 55

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source=pdf_text observed=2026-08-07T12:45:46.718839Z digest=sha256:096695e6709f2d78484fa9e54ffd48b1254c39e91490b5c8c583be9202758969

Observation d685371d-f7d9-42ad-a2d7-f27d67bbfa11 · inbound

Reasoning Can Hurt the Inductive Abilities of Large Language Models cites this paper.

Reasoning Can Hurt the Inductive Abilities of Large Language Models Token-Budget-Aware LLM Reasoning

Reference 44

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source=pdf_text observed=2026-08-07T12:36:16.320564Z digest=sha256:efc030b59469f23ef36219c6e823a3514c28738604f4bf0a2db3c33885cc2424

Observation 3df8f4b6-63c7-4f29-b1ee-db42314184ab · inbound

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models cites this paper.

Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models Token-Budget-Aware LLM Reasoning

Reference 10

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source=arxiv_source observed=2026-08-07T10:52:43.358336Z digest=sha256:04eb7c520cee499fd2051af4fdabf2ee534b39372277507ab16c430c193a7769

Observation 00e34f3b-424f-42dd-8ce8-d97dd9b99074 · inbound

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis cites this paper.

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis Token-Budget-Aware LLM Reasoning

Reference 13

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source=pdf_text observed=2026-08-07T10:42:54.713198Z digest=sha256:d5e01030abf1fe91fb8a088564b36ac439074859c184e54ace592a35e3ef0ae4

Observation 15b48e73-c8d8-46c1-b813-a6b7b5605196 · inbound

DynamicMind: A Tri-Mode Thinking System for Large Language Models cites this paper.

DynamicMind: A Tri-Mode Thinking System for Large Language Models Token-Budget-Aware LLM Reasoning

Reference 16

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source=arxiv_source observed=2026-08-07T10:21:27.300748Z digest=sha256:66107422df581b455378a2ac85c374c02f46bbea59d43f7c15ed1419a5291419

Observation 89af4f56-187f-42a1-bd16-61758b633dd9 · inbound

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding Token-Budget-Aware LLM Reasoning

Reference 19

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source=pdf_text observed=2026-08-07T05:52:18.246347Z digest=sha256:1e1b7c812e13c2fae07f53849eb44dc433968f853f5f86ddc9a9f7daf92367e3

Observation 640a7e38-dd98-47ee-bef0-a35c7b92c105 · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? Token-Budget-Aware LLM Reasoning

Reference 10

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no resolver link, observed 2026-08-07T05:49:35.589682Z

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source=pdf_text observed=2026-08-07T05:49:35.589682Z digest=sha256:1297ac42fb9fe7080354c077e31d7f8d6406c6f0f9026a8ce3d841139f47bb78

Observation f0e0a094-6d18-4cf0-8f05-8038e38ef4b4 · inbound

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency cites this paper.

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency Token-Budget-Aware LLM Reasoning

Reference 15

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no resolver link, observed 2026-08-07T05:19:16.416376Z

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source=arxiv_source observed=2026-08-07T05:19:16.416376Z digest=sha256:af11af1d48aab3665560cf64bb27a0491e7addf21ed86d31230f05ee71ccdfab

Observation 9dd393de-95b9-44bd-998c-a464bddb3844 · inbound

Transforming Expert Knowledge into Scalable Ontology via Large Language Models cites this paper.

Transforming Expert Knowledge into Scalable Ontology via Large Language Models Token-Budget-Aware LLM Reasoning

Reference 42

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no resolver link, observed 2026-08-07T05:21:03.144656Z

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source=pdf_text observed=2026-08-07T05:21:03.144656Z digest=sha256:a8c85339dccfa19a7d8ce7e4b696ecc36201fef348d0a432377506474608bd7c

Observation c883f271-b8c6-46de-be2f-abf7ad3f223f · inbound

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty cites this paper.

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty Token-Budget-Aware LLM Reasoning

Reference 12

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no resolver link, observed 2026-08-07T04:38:09.470606Z

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source=arxiv_source observed=2026-08-07T04:38:09.470606Z digest=sha256:e8d95153ae57c82fec4e71666588c106adc1bae88d4a136f6e5c18234800ff60

Observation 35e40b06-a5d3-4890-b711-a2ac6db06e81 · inbound

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models cites this paper.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Token-Budget-Aware LLM Reasoning

Reference 13

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no resolver link, observed 2026-08-07T04:26:28.679257Z

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source=arxiv_source observed=2026-08-07T04:26:28.679257Z digest=sha256:f781636bbfb065e1669b1219d8e84393ba1ac8b6350c97535da14cd2211bf132

Observation 873ceeaa-86de-45a0-b5d3-2a57b058e0c9 · inbound

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning cites this paper.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Token-Budget-Aware LLM Reasoning

Reference 47

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no resolver link, observed 2026-08-15T20:13:19.688333Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:13:19.688333Z digest=sha256:432fd9b07f4bd1c03b68d9387c57e790d4a0c1aa502aff563c6b948c22190010

Observation ee06ff28-4fee-4bc0-866e-8c33a1f16f9f · inbound

Steering LLM Thinking with Budget Guidance cites this paper.

Steering LLM Thinking with Budget Guidance Token-Budget-Aware LLM Reasoning

Reference 9

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no resolver link, observed 2026-08-07T00:32:59.837388Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:32:59.837388Z digest=sha256:d5d9ff1197ef33c49baff39722691ed6dc5d0976b9b18fec1f2e5d3925b446b5

Observation f3ef6c34-5c71-45c4-b554-dbc7538ef52d · inbound

Optimizing Length Compression in Large Reasoning Models cites this paper.

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

Reference 31

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no resolver link, observed 2026-08-15T19:56:12.584084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:56:12.584084Z digest=sha256:268c73652ac0e1c6edeff35e200c2e4551cd09835b56b479a89fde56a1acfe34

Observation d69d9467-76b6-4fd4-b0ca-affd6b5abb56 · inbound

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors cites this paper.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Token-Budget-Aware LLM Reasoning

Reference 19

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no resolver link, observed 2026-08-07T12:05:09.476176Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:09.476176Z digest=sha256:9da602b9c4600dcb73bfe7117acfd312201bb6541d89108ede4c63bed86ed92e

Observation 3c7f70ea-0ad3-403a-a856-46924bee4374 · inbound

AdapThink: Adaptive Thinking Preferences for Reasoning Language Model cites this paper.

AdapThink: Adaptive Thinking Preferences for Reasoning Language Model Token-Budget-Aware LLM Reasoning

Reference 4

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no resolver link, observed 2026-08-06T23:28:37.065480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:37.065480Z digest=sha256:af66601cb3f4ad93462c3f63f836af9099363afca31be9f0c079e9b007f99230

Observation 60c79c20-6b7c-400e-b27d-7e8872c995d6 · inbound

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control cites this paper.

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control Token-Budget-Aware LLM Reasoning

Reference 10

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no resolver link, observed 2026-08-06T23:00:45.930316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:00:45.930316Z digest=sha256:1945069808d0cdee8f7de30cf0d2904552b66f7431b0e52b54cb8223d78b9e83

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

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control cites this paper.

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

Reference 13

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no resolver link, observed 2026-08-06T19:56:09.165310Z

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source=arxiv_source observed=2026-08-06T19:56:09.165310Z digest=sha256:fd7ff2a2cfb60a414beaf79520205bf9a428d85e03d3edc0cd4c609b6e75ca60

Observation c475e668-4e9f-4785-ae17-e9edcca43f50 · 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 Token-Budget-Aware LLM Reasoning

Reference 60

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no resolver link, observed 2026-08-06T17:53:49.241722Z

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source=arxiv_source observed=2026-08-06T17:53:49.241722Z digest=sha256:9cfd15a390e6f6975f8a24d943477ec3a38e225744570f0bc00fb867f17fa0cd

Observation c2cf8936-1197-459c-ae5c-e25a64c8a1d5 · inbound

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once cites this paper.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Token-Budget-Aware LLM Reasoning

Reference 14

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no resolver link, observed 2026-08-06T17:35:31.430010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:35:31.430010Z digest=sha256:f94cfa8ae380ef2fc86332c88bf09c4aecafbe9916a467b9ea33759bf5d410d4

Observation 615c17f0-de06-40d5-aa00-90439ad8af3b · inbound

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization cites this paper.

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization Token-Budget-Aware LLM Reasoning

Reference 6

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no resolver link, observed 2026-08-06T15:29:42.490719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:42.490719Z digest=sha256:eb6fe836a1eaf3ad0c29e9b4d2c29e0ddb1795e1986188d6af26e792def05040

Observation 70fe9cb9-2239-4724-b644-49d153b27c59 · inbound

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

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning Token-Budget-Aware LLM Reasoning

Reference 9

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no resolver link, observed 2026-08-06T05:14:37.116585Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:14:37.116585Z digest=sha256:99da0ab10aeb0cd1ed846e8297c0b99bba8e4db9b661a55097de0e80db99bb4d

Observation f4dabe0e-6496-4127-ad78-5270ca393311 · inbound

Efficient Agents: Building Effective Agents While Reducing Cost cites this paper.

Efficient Agents: Building Effective Agents While Reducing Cost Token-Budget-Aware LLM Reasoning

Reference 50

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no resolver link, observed 2026-08-15T18:16:58.293999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:16:58.293999Z digest=sha256:69d0097e52f34e345322a0e807522fea28db9374a8a7130309f5368ec43847e9

Observation 76ff0e3c-d9aa-458a-8fa4-29f1638d5ec2 · inbound

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Token-Budget-Aware LLM Reasoning

Reference 16

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no resolver link, observed 2026-08-05T23:32:55.017981Z

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source=pdf_text observed=2026-08-05T23:32:55.017981Z digest=sha256:8fc3862f6dd3bd4cbe1e8aa0167b839a1f4df9f707a43576bea1ae9cad498219

Observation 575b0549-953d-40ae-be1c-6af61e157957 · inbound

Think in Blocks: Adaptive Reasoning from Direct Response to Deep Reasoning cites this paper.

Think in Blocks: Adaptive Reasoning from Direct Response to Deep Reasoning Token-Budget-Aware LLM Reasoning

Reference 8

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no resolver link, observed 2026-08-05T17:52:51.696489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:52:51.696489Z digest=sha256:26c4516243b97e4329edd37e85b702f7b11e21df6505e85a4cbe1009c71b393c

Observation 5b190463-e31c-4699-bb2f-6f6ce7ad0875 · inbound

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens cites this paper.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Token-Budget-Aware LLM Reasoning

Reference 13

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no resolver link, observed 2026-08-05T17:04:38.484100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:04:38.484100Z digest=sha256:47374dd1a944fcf5e1a50c574f7f06f266179187ac3798fd0176034c3ca1abc0

Observation ecc59334-1533-424b-b414-6dc69f1eb649 · inbound

MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models cites this paper.

MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models Token-Budget-Aware LLM Reasoning

Reference 17

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no resolver link, observed 2026-08-05T12:33:12.614977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:33:12.614977Z digest=sha256:567d02be04eafa5977f9fb83e57eda7d8750ea8796d4706fb30f7c3e132443bc

Observation 0a35ff92-d386-4271-b415-b192782a7bb6 · inbound

Self-Aligned Reward: Towards Effective and Efficient Reasoners cites this paper.

Self-Aligned Reward: Towards Effective and Efficient Reasoners Token-Budget-Aware LLM Reasoning

Reference 17

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verified exact
arxiv_id, observed 2026-05-18T18:31:44.583206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-18T18:27:23.076544Z digest=sha256:0658e4c82fa9cf90979242f31ac9c67d75ffd9f642604e5c86ea023d7af276b8

Observation f2280d32-d6de-4364-8194-70dcdf2b1500 · inbound

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains cites this paper.

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains Token-Budget-Aware LLM Reasoning

Reference 14

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no resolver link, observed 2026-08-05T00:03:59.031304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:03:59.031304Z digest=sha256:c2b54632784ab46464ebfa9d8c79758feb3c68aa9fcb19d4d2b88bfd8190a09f

Observation 74c5f34a-dc50-4e0c-a0ac-75feabe7dd78 · inbound

Early Stopping Chain-of-thoughts in Large Language Models cites this paper.

Early Stopping Chain-of-thoughts in Large Language Models Token-Budget-Aware LLM Reasoning

Reference 4

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verified exact
arxiv_id, observed 2026-05-21T22:34:24.080888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T22:33:03.394914Z digest=sha256:5837ad5242906dce96744a5d56880319c5bab0b71a015c0fe71795b74e1b28d9

Observation c5083055-2135-49f9-8343-dd48e94f9a03 · inbound

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts cites this paper.

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts Token-Budget-Aware LLM Reasoning

Reference 10

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verified exact
arxiv_id, observed 2026-05-18T13:42:38.612884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T13:42:07.883909Z digest=sha256:ddc1e5452257427b837d41522b5b4b928c130dd5ced696448cec68ce40ba9b7c

Observation f06b8187-d3a0-41c8-8bc8-8f240e9587b2 · inbound

Probing the Difficulty Perception Mechanism of Large Language Models cites this paper.

Probing the Difficulty Perception Mechanism of Large Language Models Token-Budget-Aware LLM Reasoning

Reference 9

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no resolver link, observed 2026-08-04T11:17:47.512646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:17:47.512646Z digest=sha256:7265a4154ab835359040501459783cb8cd5b0aa1d144a3f14c3a3fcb9f81b0f3

Observation 4790b7b2-92dd-436f-8289-77407f3fb722 · inbound

MixReasoning: Switching Modes to Think cites this paper.

MixReasoning: Switching Modes to Think Token-Budget-Aware LLM Reasoning

Reference 7

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no resolver link, observed 2026-08-04T11:16:35.932082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:16:35.932082Z digest=sha256:28636df28e4176f990b41817c9fcb505aa804a263b7a34e4785d222cffe1ed12

Observation 785552d9-d00a-442b-87bc-b137ca331316 · inbound

Are Large Reasoning Models Interruptible? cites this paper.

Are Large Reasoning Models Interruptible? Token-Budget-Aware LLM Reasoning

Reference 11

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no resolver link, observed 2026-08-04T10:07:52.030871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:07:52.030871Z digest=sha256:7f44358ace89aa80d8765393c6fc87d40bc5f0afc414d36190aad5fd11b07dda

Observation 17e915b8-3617-45f6-82f4-77d71c56cba9 · inbound

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization cites this paper.

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization Token-Budget-Aware LLM Reasoning

Reference 25

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no resolver link, observed 2026-08-04T09:48:05.461721Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:48:05.461721Z digest=sha256:2e81515237a6888b6666a0a14066633a308a4f0c3943dcd4b9a2b4af2203aa09

Observation 9398dd26-2e03-441e-bcc6-c148b007135f · inbound

LightThinker++: From Reasoning Compression to Memory Management cites this paper.

LightThinker++: From Reasoning Compression to Memory Management Token-Budget-Aware LLM Reasoning

Reference 11

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verified exact
arxiv_id, observed 2026-05-13T17:28:01.736040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T17:25:28.432170Z digest=sha256:6414b3624e0598834afefcdd42d310035d62f657b12be78598424b16857c2cfd

Observation c544a693-897e-47f7-9b49-f737484c0d0e · inbound

Tokalator: A Context Engineering Toolkit for Artificial Intelligence Coding Assistants cites this paper.

Tokalator: A Context Engineering Toolkit for Artificial Intelligence Coding Assistants Token-Budget-Aware LLM Reasoning

Reference 6

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verified exact
arxiv_id, observed 2026-05-11T06:36:03.100988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:34:16.075235Z digest=sha256:371b4ef27cea54a0594f49db7edcc82455c0bc9b44cfb2a8c1a0159dd1e683d1

Observation 489bc3b8-b8d5-461f-993c-b59c65d45a3e · inbound

Thinking with Reasoning Skills: Fewer Tokens, More Accuracy cites this paper.

Thinking with Reasoning Skills: Fewer Tokens, More Accuracy Token-Budget-Aware LLM Reasoning

Reference 12

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verified exact
arxiv_id, observed 2026-05-11T14:21:05.486012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T22:01:37.595989Z digest=sha256:078bf364784855515a1a8acc5c6ca2a818b72d46036da0267cc94184b9a93bb6

Observation 3448a3a1-9e58-470d-bdd8-02a32e2c6310 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Token-Budget-Aware LLM Reasoning

Reference 107

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verified exact
arxiv_id, observed 2026-05-11T20:06:09.694109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:773dac0885e3efe2c756ba7e47c69e12471c7ed080206f1934938cd81529d469

Observation bb4be479-a915-49f2-9749-b27459d89a34 · inbound

How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning cites this paper.

How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning Token-Budget-Aware LLM Reasoning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-05T10:20:57.245956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-05T10:18:18.717871Z digest=sha256:16b8a87d2cb0127c6b666ee57937ec8603c6d3c0dcff53ace3e9a5615df69eb6

Observation 96e41e81-cee8-43e2-b53c-cdf18e815c7d · inbound

POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems cites this paper.

POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems Token-Budget-Aware LLM Reasoning

Reference 33

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verified exact
arxiv_id, observed 2026-07-01T23:06:19.913499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T14:44:21.487169Z digest=sha256:c3caf1f9f1870e26073ab9d5839d71083a5c8e197be5bebfbf21c95da42d422a

Observation c198a0b8-5222-44d2-8f2b-cdc8fb632dae · inbound

Trading Human Curation for Synthetic Augmentation in RLVR cites this paper.

Trading Human Curation for Synthetic Augmentation in RLVR Token-Budget-Aware LLM Reasoning

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:16:26.165015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T11:10:06.685591Z digest=sha256:de9227c677921b03a1ac4f892805e6c9d391519c0d28188eb7d54fcfb06adefd

Observation 92034f9a-0ee2-46cc-8bf0-58c84efce28c · inbound

Trading Human Curation for Synthetic Augmentation in RLVR cites this paper.

Trading Human Curation for Synthetic Augmentation in RLVR Token-Budget-Aware LLM Reasoning

Reference 22

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no resolver link, observed 2026-07-12T15:15:09.675778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:15:09.675778Z digest=sha256:6f87130133e568ff43c9c1ce8a5874c38cdf2efcca730f564abb3c5aec4d79f2

Observation f36adc2b-1063-4ce1-8fca-72fb5ca73843 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Token-Budget-Aware LLM Reasoning

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-06-27T13:00:56.100497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:5d7d121aeed60051a795e7ae1cfce03aa9de043d4a371eed84f142d5cea7c220

Observation af5b25d8-e108-4bfa-943f-ba7393292de7 · inbound

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

Token-Operations-Oriented Inference Optimization Techniques for Large Models Token-Budget-Aware LLM Reasoning

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:09:36.784862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:a9cde5d69a72a772d531a2ec71bbf603225fdad9adc9d854f6023842275e9ec4

Observation afebed7d-1074-402b-8971-541e6cb0e5d6 · inbound

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

Token-Operations-Oriented Inference Optimization Techniques for Large Models Token-Budget-Aware LLM Reasoning

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-02T10:49:07.509981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:49:07.509981Z digest=sha256:7dc098d3615e905bdfd59553ae34e36734bba94e7fbb75edaa4ceb64b76c0e5f

Observation dd436bc6-7353-42b2-b8d9-bb136eb24bca · inbound

The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI cites this paper.

The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI Token-Budget-Aware LLM Reasoning

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-09T23:26:36.852196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-09T23:24:07.130101Z digest=sha256:5cfe43ef01a552edc837fca10aca6cfa94c0526b8d47294271515dc3d3f4dcf8

Observation 185ddfd7-3a8f-492b-9edb-d4419c5e6c9e · inbound

LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning cites this paper.

LISA: Linear-Indexed Sparse Attention for Efficient Long-Context Reasoning Token-Budget-Aware LLM Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T12:48:48.262765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T12:48:48.262765Z digest=sha256:0999a527602bf6b0674e881ec76341bbd66cb51aa9afc5dd0d0daae7d5db7dac

Observation 97431252-ebbd-4e88-9404-d83728c25342 · inbound

PACE: Adaptive Budget Allocation for Time-Efficient Embodied Planning cites this paper.

PACE: Adaptive Budget Allocation for Time-Efficient Embodied Planning Token-Budget-Aware LLM Reasoning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T14:58:10.735890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:58:10.735890Z digest=sha256:1688580dae4505e5235efcc238644cfc9b47fb37a1b1fc734f569c0bdba59de0

Observation 7ffd88c9-8457-48b3-bd33-cca9bd3daf2b · inbound

Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions cites this paper.

Thinking Hard, Not Smart: Reasoning Models Fail to Ration Test-Time Compute Across Questions Token-Budget-Aware LLM Reasoning

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-12T00:41:01.751553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:41:01.751553Z digest=sha256:6440499c4c19737c8200e2ecd2351b31c50fa743d4af7aa40be82b302546fde1

Observation ad8b063d-76dc-49e6-a4f9-60064abadfe2 · inbound

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging cites this paper.

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging Token-Budget-Aware LLM Reasoning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T14:24:17.016114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:24:17.016114Z digest=sha256:2cdf670541cb9ab814a65e961f229ca0930ff12d1d1d1f6174c6703e2e14d48e