Paper Citation Record · LEDGER

The Impact of Reasoning Step Length on Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2401.04925.

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

pith.paper-citation-record.v1
2401.04925 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:24.723010Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.140793Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f39bf3b6-f4ac-47a1-9951-e34d974c74af · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models The Impact of Reasoning Step Length on Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.593530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e000c368-a752-430a-bbb8-9b4f1685e435 · 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 The Impact of Reasoning Step Length on Large Language Models

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:29:56.755718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a35277b-64d7-4fe1-9989-236a8777101d · inbound

ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark cites this paper.

ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark The Impact of Reasoning Step Length on Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:24.723010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b5d2bbe-8e6a-4cff-85f2-8db749303448 · inbound

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning cites this paper.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning The Impact of Reasoning Step Length on Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:49.887553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bb9319-88cc-4637-8039-8780c4cb8c56 · inbound

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

Reasoning Can Hurt the Inductive Abilities of Large Language Models The Impact of Reasoning Step Length on Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:16.046121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dcc2852-3a6e-49bf-82cc-ffd3dcd0bcc4 · inbound

Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning cites this paper.

Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning The Impact of Reasoning Step Length on Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:59.137930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92df2013-73cf-49b2-9f3d-d74aea305a97 · 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 The Impact of Reasoning Step Length on Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:54.722718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08d32ef-1eaf-4d0c-8735-f98ab106f7d1 · inbound

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs cites this paper.

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs The Impact of Reasoning Step Length on Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:05.901186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3750dc38-2bfd-4a39-a36a-020960dc4387 · inbound

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization cites this paper.

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization The Impact of Reasoning Step Length on Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:02.102954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a645a67e-703c-4677-90bd-4304def4d914 · inbound

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents cites this paper.

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents The Impact of Reasoning Step Length on Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:56:29.986682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb25bc9-63f5-4393-a4bc-dee21072b0d2 · inbound

Test-Time Scaling with Reflective Generative Model cites this paper.

Test-Time Scaling with Reflective Generative Model The Impact of Reasoning Step Length on Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:46:44.770899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73e17fc6-e8b1-41cd-9360-889355df89ce · 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 The Impact of Reasoning Step Length on Large Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.725850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85ca0c7-8270-46df-aa62-eeeaeeac55b6 · inbound

R2-Router: A New Paradigm for LLM Routing with Reasoning cites this paper.

R2-Router: A New Paradigm for LLM Routing with Reasoning The Impact of Reasoning Step Length on Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T05:17:29.854230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad883f42-7a76-42b3-b2f1-7cd75d8952c4 · 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 The Impact of Reasoning Step Length on Large Language Models

Reference 174

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.748170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b2e4778-f1ff-4a94-b746-e85bd693dab9 · inbound

Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete cites this paper.

Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete The Impact of Reasoning Step Length on Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:16.143480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.