Paper Citation Record · LEDGER

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately

As of 16 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2505.13326.

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

pith.paper-citation-record.v1
2505.13326 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:49.843075Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.825564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:41:18.351616Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy9
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f6036f1-4340-4781-82e9-7874a0f87172 · outbound

This paper cites Let’s sample step by step: Adaptive- consistency for efficient reasoning and coding with llms.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Let’s sample step by step: Adaptive- consistency for efficient reasoning and coding with llms

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.284118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 27e9bdc7-184f-4fa3-b24f-2d395805cbe5 · outbound

This paper cites A survey of monte carlo tree search methods.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately A survey of monte carlo tree search methods

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.719410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e5f27db-06f3-4c3e-b6e2-610b0c0377b2 · outbound

This paper cites Are more llm calls all you need? towards the scaling properties of compound ai systems.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Are more llm calls all you need? towards the scaling properties of compound ai systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.724393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1ab0503-88a9-4aba-960e-dbe7fb248f4a · outbound

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

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.728028Z

Source-reported events for the cited work

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Observation 22e78168-8a22-4f8b-ac31-6d6ef42314be · outbound

This paper cites Order statistics.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Order statistics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.260779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 743b175f-5c96-498b-99ba-d0b031a888e2 · outbound

This paper cites Reasoning without self-doubt: More efficient chain-of-thought through certainty probing.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Reasoning without self-doubt: More efficient chain-of-thought through certainty probing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.249564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c6ba63cb-0177-496d-b99e-b107aa9d5c09 · outbound

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

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.739586Z

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Observation 64fe63e3-ef57-4246-9c11-daef4aa030c6 · outbound

This paper cites Rewarding Chatbots for Real-World Engagement with Millions of Users.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Rewarding Chatbots for Real-World Engagement with Millions of Users

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.742844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72ba4f1f-901d-4d82-b090-e72d15a30ef1 · outbound

This paper cites Towards Effective Disambiguation for Machine Translation with Large Language Models.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Towards Effective Disambiguation for Machine Translation with Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:19:50.129149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07e5bab0-22bb-4a10-bf40-49db42f0cf40 · outbound

This paper cites OpenAI o1 System Card.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately OpenAI o1 System Card

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.749869Z

Source-reported events for the cited work

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Observation d57cfab4-9917-42a9-9f7b-b81f3aa88943 · outbound

This paper cites Large Language Models Are State-of-the-Art Evaluators of Translation Quality.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Large Language Models Are State-of-the-Art Evaluators of Translation Quality

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.753339Z

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Observation 3aaefee5-3d37-488c-8086-5fbb63b38c07 · outbound

This paper cites Efficient memory management for large lan- guage model serving with pagedattention.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Efficient memory management for large lan- guage model serving with pagedattention

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.756857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b275cb6-c4f1-4e07-8110-e4fe6640aee8 · outbound

This paper cites CMCTS: A Constrained Monte Carlo Tree Search Framework for Mathematical Reasoning in Large Language Model.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately CMCTS: A Constrained Monte Carlo Tree Search Framework for Mathematical Reasoning in Large Language Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.760152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28770b78-1343-424f-a5b6-8e000d6717cf · outbound

This paper cites s1: Simple test-time scaling.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately s1: Simple test-time scaling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.763621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e289fe20-6ce0-48dc-90ba-42d96f2caf3a · outbound

This paper cites ChatGPT: Optimizing Language Models for Dialogue, 2022.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately ChatGPT: Optimizing Language Models for Dialogue, 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.233101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c171614-7d3e-4df4-9954-3d61dde7723f · outbound

This paper cites GPT-4 Technical Report.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately GPT-4 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.770198Z

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Unavailable: canonical work link unavailable.

Observation 6c3710e3-a5c2-4b97-92d8-b570591b65ed · outbound

This paper cites Splitwise: Efficient generative llm inference using phase splitting.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Splitwise: Efficient generative llm inference using phase splitting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.222952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9765b6c9-19a1-4b21-b6bf-138dab5e772f · outbound

This paper cites an unresolved cited work.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.776309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79acdd19-0796-48e8-bb73-0fd281df2842 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Proximal Policy Optimization Algorithms

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.779922Z

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Observation 5c0b104c-f988-4a68-b3a8-3e59278e17e1 · outbound

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

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.783194Z

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Observation f01d0a4e-c2bb-42c6-a93f-61c32a80e8f2 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.786453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd8e7d10-e2bb-4b29-9f06-a3aecdca760f · outbound

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

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.790220Z

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Unavailable: canonical work link unavailable.

Observation d63f1acf-7c0b-4a83-8d42-c24130139e5a · outbound

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

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.794758Z

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Observation e398009c-6372-4323-94bf-a802dcf32ab6 · outbound

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

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.798466Z

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Unavailable: canonical work link unavailable.

Observation 4138d3c1-0c7b-44f5-ab2c-902c4e0d0f8e · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.205638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 094ce05d-3394-4c98-b2bf-a5a86f21caba · outbound

This paper cites Self-consistency improves chain of thought reasoning in lan- guage models.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Self-consistency improves chain of thought reasoning in lan- guage models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.195328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6726a320-963a-4d0f-afd7-2f9cfec08a8c · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Chain-of-thought prompting elicits reasoning in large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.810395Z

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Observation 8110e710-0286-4eef-8a5e-aaa6dda28426 · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.814230Z

Source-reported events for the cited work

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Observation aa462b4e-4f8c-4f90-81ca-9ab9841bcb02 · outbound

This paper cites Dynamic early exit in reasoning models.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Dynamic early exit in reasoning models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.818103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e0d31ca-a2b2-4139-9fdb-7ddeaa231493 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Tree of thoughts: Deliberate problem solving with large language models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.179374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ced0b51-21c3-4966-a83b-640d0646ac34 · outbound

This paper cites Shorterbetter: Guiding reasoning models to find optimal inference length for efficient reasoning.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Shorterbetter: Guiding reasoning models to find optimal inference length for efficient reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.825112Z

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Unavailable: canonical work link unavailable.

Observation 8824d208-b8ed-4e1f-a65b-3de16ae5874d · outbound

This paper cites Orca: A distributed serving system for transformer-based generative models.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Orca: A distributed serving system for transformer-based generative models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:50.168929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05e0ec26-53b1-4ac8-a221-e5b677d4bf22 · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.832498Z

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Unavailable: canonical work link unavailable.

Observation a6620c24-5ef2-4ea2-a7aa-6df91f131628 · outbound

This paper cites Evaluating the performance of large language models on gaokao benchmark, 2024.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Evaluating the performance of large language models on gaokao benchmark, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.835979Z

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Unavailable: canonical work link unavailable.

Observation b12fd042-80c6-4487-b0ac-3afb99a33325 · outbound

This paper cites The Lessons of Developing Process Reward Models in Mathematical Reasoning.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately The Lessons of Developing Process Reward Models in Mathematical Reasoning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.839499Z

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Unavailable: canonical work link unavailable.

Observation 212c5640-bad2-4790-a215-1922bfd3e1be · outbound

This paper cites Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis.

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:49.843075Z

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Pith citing papers

Observation 2471e376-0d03-4be6-a93c-acc70559f058 · 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 Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately

Reference 196

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.825564Z

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Unavailable: canonical work link unavailable.

Observation ad90210c-9f4f-420b-82a8-9e6539f914d7 · inbound

Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics cites this paper.

Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:18.397177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.