Paper Citation Record · LEDGER

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 23 inbound Pith citation observations for arXiv:2505.11423.

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

pith.paper-citation-record.v1
2505.11423 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:42.432385Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:48:29.166327Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

35 of 35 outbound references displayed

verified exact1
verified fuzzy8
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f90a6148-be6a-4cfd-923e-6a5223f375da · outbound

This paper cites write newline.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.296906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d6ee03-dbdc-416b-87c8-57bf23427f18 · outbound

This paper cites GPT-4 Technical Report.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.301715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce271b57-27ef-4bfd-ae73-ae5af10aeaae · outbound

This paper cites Claude 3.7 sonnet and claude code.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Claude 3.7 sonnet and claude code

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:42.966822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8068035-37b6-4253-ae8c-e7cf702d529a · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.309844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd3f9ce-e150-428c-8487-bcc27b70562a · outbound

This paper cites Language models are few-shot learners.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Language models are few-shot learners

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:42.953640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b29e637-250c-4737-9862-6c12d6337d00 · outbound

This paper cites Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.317612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5918775-7177-4e68-961b-b16de8d2bd2c · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Scaling Instruction-Finetuned Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.321495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c087069-ea70-4ed9-8122-d0d0ea0c2d1a · outbound

This paper cites Complexity-Based Prompting for Multi-Step Reasoning.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Complexity-Based Prompting for Multi-Step Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.325240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37342762-b266-4b18-9002-dc49f4c9ca27 · outbound

This paper cites The Llama 3 Herd of Models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs The Llama 3 Herd of Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.329353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 491d17a5-6f4e-4d4c-9253-d231937784cc · outbound

This paper cites Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:57:42.748786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae3a7afc-466c-4897-81d3-025c667ec69d · outbound

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

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.336482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a32da1d3-e84d-4e10-8293-141c0a7e9515 · outbound

This paper cites From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.340517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c20ee43-b435-4a45-9f41-a3fdf5340cc1 · outbound

This paper cites Do LLMs "know" internally when they follow instructions?.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Do LLMs "know" internally when they follow instructions?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.344933Z

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Observation bc15cd24-b903-4832-bd9e-a88aa71d8bc6 · outbound

This paper cites Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.349215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f635579-8978-4f89-a70a-dc28eec3cfaf · outbound

This paper cites Position: Llms can’t plan, but can help planning in llm-modulo frameworks.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Position: Llms can’t plan, but can help planning in llm-modulo frameworks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.353767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d88d199-8b7b-42ea-bf36-ca470545355d · outbound

This paper cites Metrology of weak quantum perturbations.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Metrology of weak quantum perturbations

Reference 16

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Observation d1b7c971-5168-4298-a2fc-bc96f6783a47 · outbound

This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.361500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f8d5873-075f-42a3-9818-892e8b75fcc2 · outbound

This paper cites The flan collection: Designing data and methods for effective instruction tuning.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs The flan collection: Designing data and methods for effective instruction tuning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:42.934565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 967313ac-4c71-4cbb-90e5-c86893314412 · outbound

This paper cites Crosslingual generalization through multitask finetuning.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Crosslingual generalization through multitask finetuning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:42.921626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2bda7492-7187-4d93-beea-2b31732383b9 · outbound

This paper cites Show your work: Scratchpads for intermediate computation with language models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Show your work: Scratchpads for intermediate computation with language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.374144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d478df3-9534-41ea-9f13-20b35d7d6949 · outbound

This paper cites Introducing openai o1.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Introducing openai o1

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:42.902245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a55ec9ce-6c62-4cad-b39b-42753f68db54 · outbound

This paper cites Training language models to follow instructions with human feedback.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Training language models to follow instructions with human feedback

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.381659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d328994-16ad-4ea0-8fa7-a2eb1f762262 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.385847Z

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Unavailable: canonical work link unavailable.

Observation 74a1172e-28de-4dae-9393-70882d1ae31b · outbound

This paper cites Language models are unsupervised multitask learners, 2019.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Language models are unsupervised multitask learners, 2019

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.390038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e23729-a29a-45e5-9fb6-cde33018e904 · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.393794Z

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Unavailable: canonical work link unavailable.

Observation 74d28e30-eb18-4dab-a79b-2f59e3e88f20 · outbound

This paper cites Self-instruct: Aligning language models with self-generated instructions.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Self-instruct: Aligning language models with self-generated instructions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:42.876268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96fc1174-f857-46a0-a0c5-23fda575c566 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Mmlu-pro: A more robust and challenging multi-task language understanding benchmark

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.401269Z

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Observation c1633b4b-9eed-4411-a180-59026c8659b4 · outbound

This paper cites Emergent abilities of large language models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Emergent abilities of large language models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.405252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85c62210-a548-4206-9f3e-2fdbf057811b · outbound

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

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Chain-of-thought prompting elicits reasoning in large language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.408890Z

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Unavailable: canonical work link unavailable.

Observation 6c3b6a87-d713-4208-a50e-b99c48ac3477 · outbound

This paper cites Benchmarking complex instruction-following with multiple constraints composition.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Benchmarking complex instruction-following with multiple constraints composition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:42.837847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91cbc755-63fc-49b7-8403-5e90d9fb4cfb · outbound

This paper cites A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.416807Z

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Observation 94f97e73-01b9-4af6-a7c5-9230ce42c9ac · outbound

This paper cites Re-reading improves reasoning in language models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Re-reading improves reasoning in language models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:42.825392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 215052a1-2c78-4211-a939-400aa24a684d · outbound

This paper cites Instruction tuning for large language models: A survey.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Instruction tuning for large language models: A survey

Reference 33

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Observation 0375dda8-faaf-4a1c-a1d0-04fff4f066f5 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 34

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Observation b00f4192-28e5-4c92-8a3c-1774c8988cff · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Instruction-Following Evaluation for Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:42.432385Z

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Pith citing papers

Observation ab12ca32-08b3-4294-b6b8-3b87497cfeaf · inbound

Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks cites this paper.

Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 33

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Observation eb443729-0a07-4c96-bcc1-fb66c56a6af4 · inbound

From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval cites this paper.

From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 6

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Observation 4d5a8e18-0965-4709-b7b5-188421683c1b · inbound

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity cites this paper.

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:10:31.638192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6d90882-42a1-4a02-9b4d-b17aaff211e0 · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 65

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Observation 74af3947-339f-4281-8dfb-911079c03537 · inbound

AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning cites this paper.

AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T12:23:55.171218Z

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Observation 28d7d64a-746a-41c4-a2ae-0c8af1df3622 · inbound

ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents cites this paper.

ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue Agents When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 27

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Observation 96659764-f58e-4e3c-8f14-3da85b10e709 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 285

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:24.758218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a18bf195-318a-4464-8997-06b27c88909a · inbound

"GenAI Defaults to Bias!" Gamify AI Literacy Through Reflections on Prompts cites this paper.

"GenAI Defaults to Bias!" Gamify AI Literacy Through Reflections on Prompts When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 42

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Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts cites this paper.

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:42:38.706065Z

Source-reported events for the cited work

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Observation 5912c812-75de-4777-bb03-f95516dfc9aa · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.400180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c88f4463-35d5-4ac1-821e-ac6fbd29814c · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 16

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Observation f6d6b204-c636-4ec0-ac89-45171800693c · inbound

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding cites this paper.

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T10:49:58.932278Z

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Observation ed3d7412-c7c4-418a-bb5b-199f77ac88cd · inbound

LightThinker++: From Reasoning Compression to Memory Management cites this paper.

LightThinker++: From Reasoning Compression to Memory Management When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:28:02.511545Z

Source-reported events for the cited work

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Observation 3c62f23e-7361-4d4b-a9b9-1d85788b7df5 · inbound

Chain of Risk: Safety Failures in Large Reasoning Models and Mitigation via Adaptive Multi-Principle Steering cites this paper.

Chain of Risk: Safety Failures in Large Reasoning Models and Mitigation via Adaptive Multi-Principle Steering When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:08.525902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15fdfa06-9bde-47b7-94b5-529da32323fe · inbound

DataDignity: Training Data Attribution for Large Language Models cites this paper.

DataDignity: Training Data Attribution for Large Language Models When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.356744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e081aa12-7fc9-4bc5-b2ed-5278339ea8f1 · inbound

More Is Not Always Better: Cross-Component Interference in LLM Agent Scaffolding cites this paper.

More Is Not Always Better: Cross-Component Interference in LLM Agent Scaffolding When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:08.701864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4fc68512-6158-45dc-bcad-f86df5b9b6ac · inbound

CLORE: Content-Level Optimization for Reasoning Efficiency cites this paper.

CLORE: Content-Level Optimization for Reasoning Efficiency When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:08.363458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e557b1c8-cf1e-4057-9d9a-c1152bca9336 · inbound

Prompt Governance? On Governing Technologies Governed by Natural Language cites this paper.

Prompt Governance? On Governing Technologies Governed by Natural Language When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 192

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:25:33.046329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44e21807-6963-43e2-b65c-c109e9fd7e92 · inbound

When Built-in Thinking Helps and Hurts: Constraint-Level Error Shifts in Instruction Following cites this paper.

When Built-in Thinking Helps and Hurts: Constraint-Level Error Shifts in Instruction Following When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:27:30.800737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 207644e1-4782-47a9-a0b4-48865ba5fce0 · inbound

Observable Patterns Are Not Explanations: A Causal-Geometric Analysis of Latent Reasoning Models cites this paper.

Observable Patterns Are Not Explanations: A Causal-Geometric Analysis of Latent Reasoning Models When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:18:03.816454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 603ce71c-60d2-4c17-a412-fcf6d5368fa3 · inbound

Structured Thoughts For Improved Reasoning And Context Pruning cites this paper.

Structured Thoughts For Improved Reasoning And Context Pruning When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-14T12:08:05.502310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e9cc34d-0a3f-4738-a879-ee75b7144c61 · inbound

When Reasoning Hurts Legal Drafting: The Verbalization Bottleneck in Patent Claim Generation cites this paper.

When Reasoning Hurts Legal Drafting: The Verbalization Bottleneck in Patent Claim Generation When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T11:24:37.140735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e190c4f2-4725-41c1-a6ff-9c092fa92250 · inbound

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs cites this paper.

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T00:51:24.956984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.