Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
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:eb59748589772994aa0fc6898da94b7bebde2951b512e09cc0b93d53169c27b2

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

Resolution
unresolved
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=sha256:1680833aa9b4d565937f30d4899269ef09ecb15d65ec85252838b353829f5689

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

Resolution
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:f7dc096800eae5c8bb17471f7d993a4469c72838f27c3325cf1ef042f428963f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:25:47.084141Z digest=sha256:c52843143310f423b8ef42eec5c14a4d967407f1dfea9aa0aeac7bf1a19c3b33

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

Resolution
unresolved
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:e518e15e1a651bae78befad3c55bb42e487924966b9de5bbf7381dfc26d35e16

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

Resolution
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=sha256:96ca5ddbe64d8ff792c03105b949187e8c72098341e9219102a96bb03f7260b8

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

Resolution
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:ffc4eb3f02ff4dd73c82c6ba3c0860895108ab12458b7712d42bad9e318f7217

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

Resolution
unresolved
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:d2d55324af094cfa9b55b229a7a4737692b498a0d6760afefcdb2e9ca6cfe9e6

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

Resolution
unresolved
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=sha256:1dd6666c3f9304cfca2f1d1a792ed1a2988af89f716693fca1c25e00295f4685

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
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:25:47.387800Z digest=sha256:c452a5ec044a1a295c6fae58e4c25d17f2a79d9cbd65910081948f8d29deaf39

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

Resolution
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=sha256:65a9e96eeb0bc5eafb4815b9030672594d050675bfa2b164e2cd1fba15e120f3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:25:47.470838Z digest=sha256:e1a04396e314daa45ce829cba624a798f7a530bda68fa8ba7ab23ace30a7365e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:25:47.538867Z digest=sha256:9b4e0462aeba83498fe880b397fa6f45c289e96b9a363807cccae17d1dc1509f

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

Resolution
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=sha256:6a890f6dfc95acc1de5f1098e4ee199f3315d368a49f09a5727a8b41b132e3a0

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

Resolution
unresolved
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=sha256:128ba3c152520e702c2c6c36a56daa9f98d8a9aace6ca297fc51613b4b7512b2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:25:47.700787Z digest=sha256:638b4a0cedd62404a5baee261c1e9894446cba68aa81f75e2535a4103a4fdd56

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

Resolution
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:f52be0a415de83b722a10615e325b37cb6765c93faae2962d751bdda6cb832b6

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

Resolution
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:25:47.798910Z digest=sha256:a752c07c01c97316f284529fc0847a12bf54e7d4191d71b44b9dd3dd4b0edbd8

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

Resolution
unresolved
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:f07bb1bfac1b81f64cd541146c1f26d9bab9e5d3c907621c5273615fe6685472

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

Resolution
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=sha256:838939de1403b43c63ee1b6d2c881abcaf05d91b11fb58979730146d6983cb86

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:25:47.974474Z digest=sha256:8f93a61dffb603c5e630cd194e53202d11b427c3ef5467a44de1beaa89a969e4

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

Resolution
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=sha256:2f824904e74eef45a5192b79e2936486f6ed6f6ef9b84b3028672009660015c3

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

Resolution
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=sha256:94afe5c82760cb54a2d6523951d8a60be16aa3ce1827da98f7f9c8d770175ca4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:25:48.121522Z digest=sha256:b64d6141cadb664b7bd5b943e85e0bbe15943c299b0ad00f4907759db0efe1d1

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

Resolution
unresolved
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=sha256:8cdb358d6f7b3f00837ad6f1823314030d34ee51103d945a8c00434f524b1d72

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

Resolution
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:def5dacaa619fff36d81e2071603503b7053df56654d12dded5b407fa0e65543

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

Resolution
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=sha256:7d24edb1f5f250b4eca8eafcc3d19e229a9f76fc9b9f24442211e9973357f7fb

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

Resolution
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:eb14f369df858ae58ba5dff8308d827304c76ca2b8affc57f2e83a7e93571388

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

Resolution
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=sha256:10d893ab7f6c8f8095eecaa4c427725875d835d1509a4fa68c180cf7dff2e076

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

Resolution
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=sha256:93cf247d282d8ca85ea2cde28c7e54cc0ca558540005a0be2c5b5acb1bdeea8f

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=sha256:45ce6446b4f8ba68f44009bacbce615ce8c7c883cc89f993c9de18225380aebb

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=sha256:1f2b739925791763516cf9a90f16d929035f50ee1bf5892175d580aea47e6396

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T17:54:18.134126Z digest=sha256:7f6f02c2d44d8eeca0354f0af726f61e183a0dc74b955168c3feba1ce4973c79