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Paper Citation Record · LEDGER

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.15276.

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

pith.paper-citation-record.v1
2505.15276 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:48.530304Z

measured 33 of 33 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:18.134126Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:54:18.275368Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2dda9f82-5159-478a-ae2d-f3c3c17c6ce3 · outbound

This paper cites online" 'onlinestring :=.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning online" 'onlinestring :=

Reference 1

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unresolved
no resolver link, observed 2026-08-07T15:25:46.895611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:46.895611Z digest=sha256:7ebd49c02dfdcb8753d3ef455da9867d9c0f9b4aa84c9b169913df4b4ea9e832

Observation 7158a73c-ebe4-45e1-93b2-be49ce94950e · outbound

This paper cites write newline.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning write newline

Reference 2

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no resolver link, observed 2026-08-07T15:25:46.969543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:46.969543Z digest=sha256:9e10c545bde91d1a4a01c9f46fa24aff6c28ebe2ae1ce885e977caf50c97c85d

Observation 48c4bc4c-40b1-44be-b2ad-630f09d1fb9c · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 3

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unresolved
no resolver link, observed 2026-08-07T15:25:47.031959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.031959Z digest=sha256:f1a3399ee8ce5eb991876a91e85bc1b66e7461bfd89767de497b9b7e0f0208ca

Observation 5b9c94d2-0d15-47b6-8e69-c531f8a9a3e7 · outbound

This paper cites Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:25:49.048617Z

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=2026-08-07T15:25:47.084141Z digest=sha256:a53bc0086652dfa5ab0a2ba3ca60d6d868982bbc5da6a4e99b0a20038833785d

Observation 20e7d7f3-19c8-4d16-9ee3-bb473ff2a0bf · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 5

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no resolver link, observed 2026-08-07T15:25:47.124956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.124956Z digest=sha256:bb51f116dfefa4c8ad99618c3d34195f1cabe21474f5cfcf0f3d2172bad065d2

Observation e382bb8b-1608-4342-8047-fb596c48d096 · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 6

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unresolved
no resolver link, observed 2026-08-07T15:25:47.164256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.164256Z digest=sha256:780fdc29ad32a9886ccce109d5f1108c0dee85b5ec5d96d990587395530aadc1

Observation d2310bac-7a86-408e-8d27-06de66e977c8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Training Verifiers to Solve Math Word Problems

Reference 7

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unresolved
no resolver link, observed 2026-08-07T15:25:47.232594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.232594Z digest=sha256:476741ca39176c7a99868d9bbaab1ec63460149d449431a0d10d288f0ef8cb3b

Observation 15a6e827-8ae6-4fef-8909-da8cdff998a2 · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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no resolver link, observed 2026-08-07T15:25:47.288878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.288878Z digest=sha256:4414a0bf358176e76ce84681b411b384c854950bb3c837daa9daa91e70554f05

Observation aca8fdb3-7bbe-4418-8bd1-be865449d35b · outbound

This paper cites DeepSeek-V3 Technical Report.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning DeepSeek-V3 Technical Report

Reference 9

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no resolver link, observed 2026-08-07T15:25:47.342960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.342960Z digest=sha256:4d525acd9222fd4456bfac077ec65c0a1f06ae157587bd50d7a78e7ee69cdae8

Observation b712f6aa-865f-473d-9a73-b63fa25cb259 · outbound

This paper cites an unresolved cited work.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Unresolved cited work

Reference 10

Resolution
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raw_fallback, observed 2026-08-07T15:25:49.712232Z

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.

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

This paper cites Token-Budget-Aware LLM Reasoning.

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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unresolved
no resolver link, observed 2026-08-07T15:25:47.430493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation 1129153e-f04f-4541-b2a7-011376510d2a · outbound

This paper cites an unresolved cited work.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:25:49.622337Z

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=2026-08-07T15:25:47.470838Z digest=sha256:0c3208701d31bc28229d100c80265ee3b14386a5427d9707ad00fb6c059916fc

Observation d9144f32-3f6a-4124-be0e-a342cd2fc897 · outbound

This paper cites u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:25:49.536008Z

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=2026-08-07T15:25:47.538867Z digest=sha256:c18148f66f45849b3bf561ff21809a67b41edbf994c36f8a37f79f9b03ce2eb1

Observation 0f55d79f-5fa8-49ea-ac05-5c2d547af32e · outbound

This paper cites an unresolved cited work.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-07T15:25:47.589088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.589088Z digest=sha256:f9823f6078a573ddd5d571cc4ddb191a39469860db452ece2c26829fe6e2ca84

Observation 2e861286-df0e-46ba-81ff-33c224f1fb8b · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models

Reference 15

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no resolver link, observed 2026-08-07T15:25:47.648989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.648989Z digest=sha256:aece98efb8d9433d7e968253e18a5ca0704d374e8f1c838a2f178928523394b5

Observation 0f19dfa3-fc17-4a23-a171-8e08ee6f2f17 · outbound

This paper cites an unresolved cited work.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Unresolved cited work

Reference 16

Resolution
verified exact
doi, observed 2026-08-07T15:25:48.887165Z

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=2026-08-07T15:25:47.700787Z digest=sha256:ed6ada45e6873959a0fae8d92d103b48d3a5c65d50ba697268b904e55627be2e

Observation ed311d06-cbb6-4948-85d6-d3ed102d0f6a · outbound

This paper cites Reasoning Models Can Be Effective Without Thinking.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 17

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unresolved
no resolver link, observed 2026-08-07T15:25:47.751542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.751542Z digest=sha256:5f507b2d96e355269a7f4f9ad247fdba4f2d53ffc8d11b97081498e81640017f

Observation 3bb919ec-520d-4399-9a11-2bcc38e7ad96 · outbound

This paper cites an unresolved cited work.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-07T15:25:49.433158Z

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=2026-08-07T15:25:47.798910Z digest=sha256:151e85eb6a0ec81b6082f625fff11574ec9db2e6edee8a266b7eaf7531c3b72f

Observation 01a15e2f-0756-49a4-82f8-488e8436cf95 · outbound

This paper cites s1: Simple test-time scaling.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning s1: Simple test-time scaling

Reference 19

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no resolver link, observed 2026-08-07T15:25:47.857077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.857077Z digest=sha256:b266b7ca69e57e3833277cabb7ea1fa942a5129bc5548aa3803526b5f2cc271f

Observation 48de6ff9-a166-4975-9094-d89072981ec9 · outbound

This paper cites GPT-4 Technical Report.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning GPT-4 Technical Report

Reference 20

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unresolved
no resolver link, observed 2026-08-07T15:25:47.902365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:47.902365Z digest=sha256:74d2cb0e14b0428c9d9c74b035d6f60b3c34c73a873c3b3ecc458a24d8b6bd12

Observation 217a0895-3f8b-4188-b848-6c89f635a91b · outbound

This paper cites an unresolved cited work.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:25:49.344098Z

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=2026-08-07T15:25:47.974474Z digest=sha256:2df14aa8bead48fb7f8d0c4a9b00b06e61a48d031ff182dd05fb71c98fa7ce53

Observation 9862e8ad-de5e-4de1-a60f-572ecbcd0629 · outbound

This paper cites The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Reference 22

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unresolved
no resolver link, observed 2026-08-07T15:25:48.017209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.017209Z digest=sha256:9d6c20d5a0f2bf8cfa0e8643e95f3f817b85d5ef63980eafaa3dad12f1dd2e7c

Observation 67d9088e-a32b-4723-8867-4a9ef489ad46 · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 23

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unresolved
no resolver link, observed 2026-08-07T15:25:48.065006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.065006Z digest=sha256:bf17756f1740192657bbfc28ecfcedbe223cab8a286a52e019824944ce2d9c32

Observation 7561e2aa-27b4-44ae-97ee-da057d68c799 · outbound

This paper cites an unresolved cited work.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:25:49.268275Z

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=2026-08-07T15:25:48.121522Z digest=sha256:ae45d869596d48dfa649303a970a667255fcd34305dec8b9b7fccdbb6c77363c

Observation 7efa5a83-f7f9-4d8a-bad1-05507801e2f3 · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 25

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no resolver link, observed 2026-08-07T15:25:48.190884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.190884Z digest=sha256:e7e76d1a2fd89f0e98b545fab38de4be2659105f72bd9771be2ef37c88800d65

Observation 4229cc8a-6a5b-46c4-924d-13553699e247 · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 26

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unresolved
no resolver link, observed 2026-08-07T15:25:48.238572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.238572Z digest=sha256:df1ac4b8ff720cb375335ae57ca6628b8ecab179201fd69f38ec4f3523b5470c

Observation 6bd0f2a5-b555-4c70-89d9-249b0936b9f7 · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 27

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unresolved
no resolver link, observed 2026-08-07T15:25:48.278659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.278659Z digest=sha256:4df7dcf85354519305762eb448d9ec03e868d21b2b0d382e58535e0828e522b3

Observation 7c1fc73b-cab9-4220-824f-2ca048e0b9f2 · outbound

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

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Chain of Draft: Thinking Faster by Writing Less

Reference 28

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unresolved
no resolver link, observed 2026-08-07T15:25:48.328140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.328140Z digest=sha256:a3636c362726ed60a772fbd262191cc9a4d114e7c23f5e55b81f63ed2c85af29

Observation 8d9baae8-3f74-49b6-9e3b-e98bbb963281 · outbound

This paper cites Qwen2.5 Technical Report.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Qwen2.5 Technical Report

Reference 29

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unresolved
no resolver link, observed 2026-08-07T15:25:48.388434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.388434Z digest=sha256:5d55308b82ce1f4f9453d85ba1a83705925d4bf99fe6bb1fb87b27dbdc6a1406

Observation 692f2d51-8c57-4511-a186-f380d0fa49ab · outbound

This paper cites an unresolved cited work.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Unresolved cited work

Reference 30

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unresolved
no resolver link, observed 2026-08-07T15:25:48.424721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.424721Z digest=sha256:a83f643da99be380d7af215a43584cf1480cee6eb5412ccf35963caa14251740

Observation dcd1c1ed-c3e5-479d-8543-210379586bcc · outbound

This paper cites A Survey of Large Language Models.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning A Survey of Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:48.470149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.470149Z digest=sha256:7a8b6c219c59880aaba5ca7d6ce6bcaf78f9c404c9950f23e1e10223d46a6151

Observation be92d59c-6ca9-45bc-adec-d135ca8ce10f · outbound

This paper cites Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:48.530304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:25:48.530304Z digest=sha256:059344fba2828692846228cb8f189bace6d31d9955b936752c289baaaff86ab4

Pith citing papers

Observation 94bc20c2-237f-467c-85ec-0ecb142c8c7d · 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 When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning

Reference 252

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:54:18.282899Z

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=2026-08-06T17:54:18.134126Z digest=sha256:42aa18b7c7cfece404b9d9119d7cb5c1ab7913fa334648a559572b7e2edbef28