Paper Citation Record · LEDGER

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

As of 6 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 8 inbound Pith citation observations for arXiv:2508.17196.

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

pith.paper-citation-record.v1
2508.17196 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:04:38.789376Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:52:06.706334Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T09:19:43.908502Z

Reference resolution

51 of 51 outbound references displayed

verified exact1
verified fuzzy4
unresolved45
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b57eae4-b46f-4fee-8a2a-5c537145f60c · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:37.855909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ca0e66-f3de-4727-ac4c-e97344c89ba2 · outbound

This paper cites Training language models to reason efficiently.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Training language models to reason efficiently

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:37.905799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c936927b-e53c-4ca5-9c8b-21a96a5dbad7 · outbound

This paper cites TypeFly: Flying Drones with Large Language Model.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens TypeFly: Flying Drones with Large Language Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:37.951222Z

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Observation 8c05d0d5-c0c3-43b9-a913-077fb9035b39 · outbound

This paper cites Timelynet: Adaptive neural architecture for autonomous driving with dynamic deadline.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Timelynet: Adaptive neural architecture for autonomous driving with dynamic deadline

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:04:39.523967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ed1522b4-5df3-40a6-ab5b-365c16227369 · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.030801Z

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Observation aa131fd3-d126-4d82-9f6a-c1ba03f2a8ca · outbound

This paper cites Process Reinforcement through Implicit Rewards.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Process Reinforcement through Implicit Rewards

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.081640Z

Source-reported events for the cited work

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Observation 3cb1a58f-a184-4b77-b97a-e4ffabe2b42f · outbound

This paper cites Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.139893Z

Source-reported events for the cited work

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Observation ec7288d5-9ab7-4421-9421-1f6dd17d0b07 · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.192259Z

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Observation 74cd2714-fb76-48d6-aa49-5f99cb7f7a74 · outbound

This paper cites Efficiently Scaling LLM Reasoning with Certaindex.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Efficiently Scaling LLM Reasoning with Certaindex

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.246678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88efb7a1-fe88-4cda-ad73-baab82c06040 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.281800Z

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Observation 490b8d98-0c7e-464b-838e-19cee20d417a · outbound

This paper cites Gemini 2.5: Our most intelligent ai model.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Gemini 2.5: Our most intelligent ai model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.360939Z

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

This paper cites Token-Budget-Aware LLM Reasoning.

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

Reference 13

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

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Observation 142f3a88-35b7-4cb9-8f4f-ae3c857bc681 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Measuring mathematical problem solving with the math dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.532025Z

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Observation 8b2dcd08-39c4-46ca-9855-d374981a5a54 · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.571915Z

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Observation f162caa3-da0e-4f7b-b3de-dfb80bf5f938 · outbound

This paper cites Qwen2.5-Coder Technical Report.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Qwen2.5-Coder Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.633988Z

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Observation 25887eae-b867-4a79-adab-3629de00185c · outbound

This paper cites Flexible high-resolution object detection on edge devices with tunable latency.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Flexible high-resolution object detection on edge devices with tunable latency

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T17:04:39.327431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d3ca1e46-f4c4-4435-8326-bf37a47a15aa · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Gonzalez, Hao Zhang, and Ion Stoica

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.712796Z

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Unavailable: canonical work link unavailable.

Observation 1dc51449-cff1-4f81-895d-aad15fa095ec · outbound

This paper cites Bespoke-stratos: The unreasonable effectiveness of reasoning distillation.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Bespoke-stratos: The unreasonable effectiveness of reasoning distillation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.715134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ee2066-07b5-41ca-8ac7-f0d32e2a08d8 · outbound

This paper cites Numinamath.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Numinamath

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.717331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e72ac99b-f4bb-4580-ba65-e7b13df49899 · outbound

This paper cites SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.719466Z

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Observation 06f997c0-60ce-43cf-b4b7-0a9760b5afc3 · outbound

This paper cites Let's Verify Step by Step.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Let's Verify Step by Step

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.721727Z

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Observation b35214f4-8f33-47d5-b7b7-9a2d722fc549 · outbound

This paper cites The architectural implications of autonomous driving: Constraints and acceleration.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens The architectural implications of autonomous driving: Constraints and acceleration

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:04:39.493656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 411fb3da-55d3-4c33-bfae-0177a5435045 · outbound

This paper cites s1: Simple test-time scaling.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens s1: Simple test-time scaling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.725923Z

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Observation 6d2059fe-60b5-424b-84b5-429b463f4985 · outbound

This paper cites OpenAI o1 System Card.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens OpenAI o1 System Card

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.728192Z

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Observation 4f7f5531-785d-4893-af4e-3cb9aa6bb38a · outbound

This paper cites Gpt-5 system card.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Gpt-5 system card

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:04:39.486979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7efa6940-8689-4eaa-abf6-800d893ff98e · outbound

This paper cites THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.732463Z

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Observation 65b7ebd3-8f31-4636-ab99-73c31d9664ff · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.734731Z

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Observation b58e26e0-1921-47df-b3ea-9bd3f3c0d9cb · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.737073Z

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Observation 0e87eb0b-6014-49ed-9520-7068b771d9c2 · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.739210Z

Source-reported events for the cited work

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Observation db8c0aa0-73e1-4741-8640-a315ed9b192a · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.741449Z

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Observation f30fbf3b-bf3e-489a-8022-6392071fd94c · outbound

This paper cites Reason-rft: Reinforcement fine-tuning for visual reasoning.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Reason-rft: Reinforcement fine-tuning for visual reasoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.744028Z

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Observation 641ffec1-a207-40c3-8eae-fc6df71fa728 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Kimi K2: Open Agentic Intelligence

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.746051Z

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Observation b36c6317-2cbe-47cb-bb37-f2efb5ec6bce · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.748172Z

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Observation 8125e605-7a69-4846-8e88-4c7acd54a07a · outbound

This paper cites Sky-t1: Train your own o1 preview model within \ 450.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Sky-t1: Train your own o1 preview model within \ 450

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:04:39.480086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 563dd81d-681f-44f1-827f-8fc0628fd5a9 · outbound

This paper cites Stepwise Informativeness Search for Efficient and Effective LLM Reasoning.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Stepwise Informativeness Search for Efficient and Effective LLM Reasoning

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:04:39.167050Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 56ce4c99-e1bb-4475-8bc7-8910c036d346 · outbound

This paper cites Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.754895Z

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Observation a21d9a64-6154-4233-9698-442a7b3291ff · outbound

This paper cites Adaptivenet: Post-deployment neural architecture adaptation for diverse edge environments.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Adaptivenet: Post-deployment neural architecture adaptation for diverse edge environments

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.757382Z

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Observation 2fe9cc27-c640-41c8-b2d0-218cc82279ba · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.759385Z

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Observation bb8a16a1-50f0-459d-a38c-91a0e3c342aa · outbound

This paper cites Tokenskip: Controllable chain-of-thought compression in llms, 2025.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Tokenskip: Controllable chain-of-thought compression in llms, 2025

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.761729Z

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Observation 3032dd93-6f49-4b75-83cc-bdcb605a58fb · outbound

This paper cites RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.763726Z

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Observation fd6a8083-be1f-4946-a608-33b8278cf207 · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Chain of Draft: Thinking Faster by Writing Less

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.765954Z

Source-reported events for the cited work

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Observation c2cdb2ce-22c7-4c2e-92d7-30f7ea3c146d · outbound

This paper cites Qwen3 Technical Report.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Qwen3 Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.768559Z

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Observation b26e41b0-38f5-4b16-9e58-04f17ab8c9f6 · outbound

This paper cites LIMO: Less is More for Reasoning.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens LIMO: Less is More for Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.770613Z

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Observation 2f809f70-5635-4a15-be5b-fa4eb7bd7296 · outbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.772557Z

Source-reported events for the cited work

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Observation d42c7c33-f588-49d8-be71-c11806c4d052 · outbound

This paper cites Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.774765Z

Source-reported events for the cited work

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Observation 5f2b47e3-d6a4-4e9f-ba3b-008858b8ebd6 · outbound

This paper cites Pruning the unsurprising: Efficient code reasoning via first-token surprisal, 2025.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Pruning the unsurprising: Efficient code reasoning via first-token surprisal, 2025

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.777020Z

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Observation 039f2c5e-7771-4517-98aa-e509f67f7d66 · outbound

This paper cites Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.779777Z

Source-reported events for the cited work

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Observation c6129e36-9086-4640-9ecc-e966eddf2dd9 · outbound

This paper cites write newline.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens write newline

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.781936Z

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Observation aaf54e79-f677-410b-8440-0ec58dd4a2af · outbound

This paper cites @esa (Ref.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens @esa (Ref

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.784543Z

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Observation f0227f3e-e182-483e-a789-6282d0c60e33 · outbound

This paper cites an unresolved cited work.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.787037Z

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Observation d3934f62-c868-477d-b148-4eb6be7c72d9 · outbound

This paper cites thinking.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens thinking

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.789376Z

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Pith citing papers

Observation 083bd7ef-885d-468b-a919-1b36b93071cf · inbound

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T13:52:06.706334Z

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Observation c9e57aa4-f463-45e6-8cf1-8cf211895468 · inbound

Behavior Cue Reasoning: Monitorable Reasoning Improves Efficiency and Safety through Oversight cites this paper.

Behavior Cue Reasoning: Monitorable Reasoning Improves Efficiency and Safety through Oversight BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-10T02:10:31.848495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 390237b0-cb78-49c0-9039-5114b255846e · inbound

Behavior Cue Reasoning: Monitorable Reasoning Improves Efficiency and Safety through Oversight cites this paper.

Behavior Cue Reasoning: Monitorable Reasoning Improves Efficiency and Safety through Oversight BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-10T02:10:31.848495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 10a4296f-8426-4ae9-a6f7-36ad1042a4a4 · inbound

Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning cites this paper.

Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-10T02:10:31.848495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 848aec1c-dd84-4d60-9975-a8ae4b9cfe33 · inbound

SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning cites this paper.

SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-29T23:14:01.063823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dd56690c-c54f-4196-98cd-81bfbd7fb5a0 · inbound

Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards cites this paper.

Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:19:43.909728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 47bbf4c8-1447-44ef-9674-03d321bb2d38 · inbound

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility cites this paper.

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T19:53:04.577816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9fbb6a-3fb7-4064-879d-1b2404766c30 · inbound

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility cites this paper.

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T10:47:32.798333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.