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Paper Citation Record · LEDGER

The Impact of Reasoning Step Length on Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:51:16.689289Z

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 09901895-e362-4a53-adb2-f87bde17d455 · inbound

Dynamic Chain-of-Thought: Towards Adaptive Deep Reasoning cites this paper.

Dynamic Chain-of-Thought: Towards Adaptive Deep Reasoning The Impact of Reasoning Step Length on Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T20:51:16.689289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:51:16.689289Z digest=sha256:327f972bbb2deb23363f823469a6164f0e65f4e0f118e0ee9c721adae7d33f1c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:de13ae4f9c8c084c178c41e0216906a95373c773df4ca8509e1e1b83100214dc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:02d1ccb7ea886e04a62ad29920bbe09fd57ec1d38b2cad6334a08fa390560842

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.

source=arxiv_source observed=2026-08-07T14:55:24.723010Z digest=sha256:c25f8c8a37923e3fa6419bd91846d7f4fb8b281ffff0ab7958b487fe539eae33

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.

source=pdf_text observed=2026-08-07T14:27:49.887553Z digest=sha256:782656ca025bb4da85d3d445909b4cd277dbfb3130d2f38c5597a2026f5fcf72

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.

source=pdf_text observed=2026-08-07T12:36:16.046121Z digest=sha256:be8e14eda54a8c6a0ff3220163b75b042c99dd273b8338f401e748b73043cf14

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.

source=pdf_text observed=2026-08-07T11:16:59.137930Z digest=sha256:f853f2647c432a97a4c51bd7811f5d4878f06fd349a2281b7c3455af4adc5953

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.

source=pdf_text observed=2026-08-07T10:42:54.722718Z digest=sha256:f66f93a3e19e4a21ace7eccb722b74d7454ace2e3f43b104e4a34fa5dd5f52a4

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.

source=pdf_text observed=2026-08-07T05:45:05.901186Z digest=sha256:8942333d9fd7a6d50d8b12cea9ea925b770d5056eb14ebbef633cd8f0743e326

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.

source=arxiv_source observed=2026-08-07T04:24:02.102954Z digest=sha256:9a06920267fd49b7b1574a8a599f098090ae9d7cfddc27231fd4187ac03cfc11

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.

source=pdf_text observed=2026-08-06T23:56:29.986682Z digest=sha256:8d5a87fb9bf5c8647b8977763abfd2064b393bdbcae5845a0f9b01ddb9f40734

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.

source=pdf_text observed=2026-08-06T20:46:44.770899Z digest=sha256:84e4cf9890f955537c7b0eec1ec3f18f1c20721256e61e8a3e9b9beca57f06d5

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.

source=arxiv_source observed=2026-08-06T17:54:16.725850Z digest=sha256:07e8cf2dffddcf9e83e0bba2422476246d9d0fd5282f0a6f2dfba86806584b75

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.

source=pdf_text observed=2026-08-03T05:17:29.854230Z digest=sha256:84d4149f5a22a42909060fd14259c92569ade3643f011eed47cd682ca7db703f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:501baecf38f497d947a66c5e21babdf240c8d3d159b71e6b6a6c8e9f5868704c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T15:48:48.046003Z digest=sha256:dd830177a1a407f40517fee54a18ab90a450ead9ac81d56b1c7d1e993d2e8d59