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Paper Citation Record · LEDGER

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity

As of 18 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 5 inbound Pith citation observations for arXiv:2509.07339.

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

pith.paper-citation-record.v1
2509.07339 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:25:55.024087Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:49:24.376209Z

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

46 of 46 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation 97948ada-a807-453b-b7c5-19f9ed42ef51 · outbound

This paper cites Training language models to reason efficiently, 2025.URL https://arxiv.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Training language models to reason efficiently, 2025.URL https://arxiv

Reference 1

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source=pdf_text observed=2026-08-04T22:25:54.774597Z digest=sha256:8867bbf8482417242d27d277e3107f6d2adb5aa875394c227a4e6e5038882a5a

Observation d2918429-d688-43da-a233-aa180ab847a0 · outbound

This paper cites Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Reference 2

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source=pdf_text observed=2026-08-04T22:25:54.780191Z digest=sha256:30e0c7532785ce32d5deb9e0615b0aeb6637b0ac2b7d4fc0cfcbbbc202894bf5

Observation c50ca6e0-39e2-438b-bf92-907a5372473a · outbound

This paper cites Sparks of artificial general intelligence: Early experiments with gpt-4, 2023.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Sparks of artificial general intelligence: Early experiments with gpt-4, 2023

Reference 3

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source=pdf_text observed=2026-08-04T22:25:54.786166Z digest=sha256:980ef492077e6101dfc13c0e8b2a2e7f78f7814e206a082cfc921f9d57aa8ebf

Observation 99bb6ba3-a323-499f-9e51-2b556a410a5a · outbound

This paper cites VeriThinker: Learning to Verify Makes Reasoning Model Efficient.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity VeriThinker: Learning to Verify Makes Reasoning Model Efficient

Reference 4

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source=pdf_text observed=2026-08-04T22:25:54.792700Z digest=sha256:dea797d3fccd69707b72ae4d4ef450460cc712b8f5b9d7bd0da50406ca7ecee8

Observation 4c56543f-985a-4d01-93e1-b843fe3cc343 · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 5

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source=pdf_text observed=2026-08-04T22:25:54.798900Z digest=sha256:79f4facdcceae6fbf2f618de49486ab89aea928736bf768da6a788d9e644de05

Observation 3c5157bf-1c90-4ec9-9ed8-5e270a033a89 · outbound

This paper cites Stream of Search (SoS): Learning to Search in Language.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Stream of Search (SoS): Learning to Search in Language

Reference 6

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source=pdf_text observed=2026-08-04T22:25:54.804686Z digest=sha256:cdcda4c6cda3b64310c7616b7da07d1b0351b8f591831e5994eeff5ef4c3d103

Observation cef0c5ec-8500-4696-a2b4-ce6c12485617 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity MiniLLM: On-Policy Distillation of Large Language Models

Reference 7

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source=pdf_text observed=2026-08-04T22:25:54.812310Z digest=sha256:f40d9c3b8a2b3af6d8cf192fc8fd9bc0bdaf7570237207f163200fc31dfa4af8

Observation 7387013c-8d63-4ff4-9b9b-128d2a8f52df · outbound

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

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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source=pdf_text observed=2026-08-04T22:25:54.817599Z digest=sha256:80557be9fafb23bb05d9d415ebff160bdeee049d6ccdad876d422f70d378cdf4

Observation cb4bad00-b714-4f3a-b351-853f7521baf5 · outbound

This paper cites Don’t overthink it.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Don’t overthink it

Reference 9

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source=pdf_text observed=2026-08-04T22:25:54.822516Z digest=sha256:d3c892a89f8d1521cfae0109a7cf7ae056342f6718f28d6f8bfb62dea6c4fda2

Observation 4aa060ea-7f24-499a-bdee-63534670d8f6 · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 10

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source=pdf_text observed=2026-08-04T22:25:54.827290Z digest=sha256:bcc9cbb7d80c71b1a99d5f34cf6247d0c89aced4c923e1fd0f326374c62c41d8

Observation fb13b985-01c9-474d-8271-8756e51d4766 · outbound

This paper cites Procedural dungeon generation: A drunkard’s walk in clojurescript.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Procedural dungeon generation: A drunkard’s walk in clojurescript

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.832432Z digest=sha256:e9c1851636b511cf6e21a5888a4f805408248259c0431adec1e55c696c9d0d9d

Observation 54568a56-2b07-47e8-b3b0-bb40d1d37991 · outbound

This paper cites On the shortest spanning subtree of a graph and the traveling salesman problem.Proceedings of the American Mathematical society, 7(1):48–50, 1956.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity On the shortest spanning subtree of a graph and the traveling salesman problem.Proceedings of the American Mathematical society, 7(1):48–50, 1956

Reference 12

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source=pdf_text observed=2026-08-04T22:25:54.837507Z digest=sha256:96f4fd53f1dd1a4aec4ff230e86929e5c2917109b7e84ac72ddf45567437b761

Observation 77b6face-af61-49b7-b017-1e69ebb7afe1 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 13

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source=pdf_text observed=2026-08-04T22:25:54.842580Z digest=sha256:4491582a641e2ef1d72aa38cf145983508fba01cd8496495ee0c08d3f01c184f

Observation cbcf46dd-5fcc-4acd-a41c-3c541e745568 · outbound

This paper cites Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Reference 14

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source=pdf_text observed=2026-08-04T22:25:54.848983Z digest=sha256:fec052f37eb88b3c10bde3b814a300213ec89ab8019e58e58dcf4602c57215ef

Observation 0d845bad-5b4d-47ef-974d-c38ae4dc6692 · outbound

This paper cites LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Reference 15

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source=pdf_text observed=2026-08-04T22:25:54.854382Z digest=sha256:459f6ef693833c8bedd5e22782f4bf13cf1ac865e5741da43d8a690ca16f41a3

Observation 6de193bf-8222-4a06-9f53-3ac1ecdb7cc1 · outbound

This paper cites AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control

Reference 16

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source=pdf_text observed=2026-08-04T22:25:54.860141Z digest=sha256:748cf94091b3616653458ed5403fa2522f3f6a43d47ca60d1276053eb3654b1c

Observation 13a36d17-ec40-4be2-9367-ee30308eb202 · outbound

This paper cites Let’s verify step by step.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Let’s verify step by step

Reference 17

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source=pdf_text observed=2026-08-04T22:25:54.865531Z digest=sha256:c90a16a20288f99857cc14b7828ae29b6328e382342fb66deb826f2559ba47ba

Observation 83145d73-9036-4be5-ae10-fba891a39060 · outbound

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

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models

Reference 18

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source=pdf_text observed=2026-08-04T22:25:54.870636Z digest=sha256:2fd0ce9485eb3ad319a5fd39a930e510d98551e0f71543d324e99ede8daa915d

Observation a0c67f84-a7ce-4a7b-8e8c-013c48fe118a · outbound

This paper cites s1: Simple test-time scaling.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity s1: Simple test-time scaling

Reference 19

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source=pdf_text observed=2026-08-04T22:25:54.876294Z digest=sha256:2de8ac31ef00b364fa1a730a38d1812e46f4e618ac375631261f57f9c8732328

Observation 7c25b10b-0a55-4ac0-9c97-de8bb36970cb · outbound

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

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Show your work: Scratchpads for intermediate computation with language models

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.881755Z digest=sha256:804134f545d3838c9d65312e758da5c0632b2f50af9a5178870ea19540c4ef7f

Observation e3b1388f-abec-4dc1-a0e9-041a8a33707c · outbound

This paper cites Can Transformers Reason Logically? A Study in SAT Solving.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Can Transformers Reason Logically? A Study in SAT Solving

Reference 21

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source=pdf_text observed=2026-08-04T22:25:54.886714Z digest=sha256:f33a725f816ef72f5454891a2359e1b91e011ffbb4b8c8588411cadc63ad92a8

Observation e03ea8b4-ab42-4168-af01-b52f9b633829 · outbound

This paper cites Let's Think Dot by Dot: Hidden Computation in Transformer Language Models.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Reference 22

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source=pdf_text observed=2026-08-04T22:25:54.891821Z digest=sha256:6f7c6e35d57c0a58d7836b785350431fa10af7a9a94fb5b556d0a410439dc45f

Observation 791d70c2-674e-4cfe-b606-cfc6e17bf4e1 · outbound

This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 23

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source=pdf_text observed=2026-08-04T22:25:54.897235Z digest=sha256:26271399f813a02424262df954a08d174f3d9521f8ce2d88625e0f77b675ba71

Observation 8159e690-5c06-47fc-b025-4cd0d859c576 · outbound

This paper cites Qwen2.5 Technical Report.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Qwen2.5 Technical Report

Reference 24

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source=pdf_text observed=2026-08-04T22:25:54.902861Z digest=sha256:0de9617e616568a138a8eecea772e095a0fe9be46658fbe074db7a5966ed76c5

Observation c265a507-cbf8-4d13-8a45-aae9f3c32fd3 · outbound

This paper cites Sample more to think less: Group filtered policy optimization for concise reasoning, 2025.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Sample more to think less: Group filtered policy optimization for concise reasoning, 2025

Reference 25

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.907945Z digest=sha256:e76fefc14df381cce9bc9a95e0633269039df8ec49a006849acb99a2f788e62c

Observation 05b43ce2-1f4f-49c9-ad2a-10b270013a60 · outbound

This paper cites Dualformer: Controllable fast and slow thinking by learning with randomized reasoning traces.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Dualformer: Controllable fast and slow thinking by learning with randomized reasoning traces

Reference 26

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raw_fallback, observed 2026-08-04T22:25:55.700970Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.912862Z digest=sha256:fe7fcde4575902c1dd1ff2f20b579e8d4b836e6dd6bbf5e5278e29b3fe8e8f5b

Observation 071a2b51-ef8c-46b2-865c-af284779e92f · outbound

This paper cites Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond

Reference 27

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local_arxiv, observed 2026-08-04T22:25:55.198864Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.918507Z digest=sha256:b23b7fabc90ff8662e1e143a4171c0b17ba67851115c2688966fee83f4612a69

Observation ee14d1a5-7705-4da6-8488-4e7c68ed8723 · outbound

This paper cites Depth-first search and linear graph algorithms.SIAM journal on computing, 1(2):146–160, 1972.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Depth-first search and linear graph algorithms.SIAM journal on computing, 1(2):146–160, 1972

Reference 28

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source=pdf_text observed=2026-08-04T22:25:54.924880Z digest=sha256:021e9a66bb04e5db3456b3957a70efe34fb4716712a5711aec394ec125cc745d

Observation 369cce04-b9bc-42a2-af45-81aa3c6c5399 · outbound

This paper cites Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization

Reference 29

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source=pdf_text observed=2026-08-04T22:25:54.929684Z digest=sha256:73b513cc61c1597077ccf79f8c16e5ac192d64f946a7390260deefcf5d9853c0

Observation 306fb0aa-0958-47ea-b433-a45c67850106 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 30

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source=pdf_text observed=2026-08-04T22:25:54.935180Z digest=sha256:b0ddfd80daca40edd4f9d6b6ce2b2d993e19c5818a3c04e7f46afc4756dc84c6

Observation 7f8bed23-aeeb-4615-83f6-170301dea146 · outbound

This paper cites Generating random spanning trees more quickly than the cover time.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Generating random spanning trees more quickly than the cover time

Reference 31

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raw_fallback, observed 2026-08-04T22:25:55.663050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.940256Z digest=sha256:38bd0569970fb80c9ae4e04e770e51d9103e2cc67950e2723670474fa5ac38e4

Observation f0c70ae0-52de-4c14-ba4e-1490980e39cd · outbound

This paper cites Chain of thought imitation with procedure cloning.Advances in Neural Information Processing Systems, 35:36366–36381, 2022.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Chain of thought imitation with procedure cloning.Advances in Neural Information Processing Systems, 35:36366–36381, 2022

Reference 32

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raw_fallback, observed 2026-08-04T22:25:55.647520Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.945016Z digest=sha256:0f5c989db321aad7677f656f927fc78d2ab17331bec2a79cc12e2e711707bdb0

Observation 0f59c858-a769-4811-8d52-e4334d307704 · outbound

This paper cites Understanding Aha Moments: from External Observations to Internal Mechanisms.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Understanding Aha Moments: from External Observations to Internal Mechanisms

Reference 33

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source=pdf_text observed=2026-08-04T22:25:54.950071Z digest=sha256:2b6f5e29ec17de90519d7b94a652f3637832256ffdf83363c4426f26381cb94a

Observation ef85af22-6ebe-43ef-915e-7d7331994982 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 34

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source=pdf_text observed=2026-08-04T22:25:54.957495Z digest=sha256:6c8335f820ee64d9889f08fc234d2134fee68ae2d8d3792f16c6cf325fc16bdd

Observation d5a09d7f-76e3-495d-b2b3-279f39d2ed32 · outbound

This paper cites Efficient rl training for reasoning models via length-aware optimization.ArXiv, abs/2505.12284, 2025.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Efficient rl training for reasoning models via length-aware optimization.ArXiv, abs/2505.12284, 2025

Reference 35

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source=pdf_text observed=2026-08-04T22:25:54.963238Z digest=sha256:05d6c2ad8520e3dba7c96d3ba07d56e5052156019792d9ae27c3248323339eb3

Observation 5ce6f0e3-fa8c-429c-9d68-cde65a1ac111 · outbound

This paper cites Free Process Rewards without Process Labels.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Free Process Rewards without Process Labels

Reference 36

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T22:25:54.968591Z digest=sha256:e371b557da0d231394322ab0674ea98bfbf52fddfd389519257e7d5b84c9ae3d

Observation cc949ec1-2e08-4f91-8f39-3b483f4059fe · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Star: Bootstrapping reasoning with reasoning

Reference 37

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no resolver link, observed 2026-08-04T22:25:54.973934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:25:54.973934Z digest=sha256:1fe169a369460c02e811b357a3e6c3481ab47443461168d8b4e022a09ea48909

Observation f7caad15-2593-4945-84b6-bb035eeeaab2 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Automatic Chain of Thought Prompting in Large Language Models

Reference 38

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no resolver link, observed 2026-08-04T22:25:54.979131Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T22:25:54.979131Z digest=sha256:6187cd5d2b51596636e31e12a4f4cd90b477762e9b12994f75700654eb4e5441

Observation 1c3d1c90-2b68-4d1b-b688-fe548a1d056b · outbound

This paper cites The clock and the pizza: Two stories in mechanistic explanation of neural networks.Advances in neural information processing systems, 36:27223–27250, 2023.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity The clock and the pizza: Two stories in mechanistic explanation of neural networks.Advances in neural information processing systems, 36:27223–27250, 2023

Reference 39

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no resolver link, observed 2026-08-04T22:25:54.984522Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T22:25:54.984522Z digest=sha256:8aa201fa650681b68dc5b1dd88c206452234553cbeb94703a409d830205147f2

Observation bdd3d588-573c-4fc4-a314-63f81d131cce · outbound

This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Reference 40

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unresolved
no resolver link, observed 2026-08-04T22:25:54.989865Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T22:25:54.989865Z digest=sha256:1b7b7b7cd2543894fb2e6dfefa165d11cdc665fa7bd293471e42529c632819c5

Observation d279edc9-fd06-4aaf-858b-1c76b3345e73 · outbound

This paper cites Wilson’s algorithm generates uniform random mazes by performing loop-erased random walks from unvisited cells until they connect to the current maze [ 31].

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Wilson’s algorithm generates uniform random mazes by performing loop-erased random walks from unvisited cells until they connect to the current maze [ 31]

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-04T22:25:55.610256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.994770Z digest=sha256:ff6d0acd19b1c8acbdc35d7b95f1ebe298116ae8b38669e082340b4d1aa9cb8d

Observation cb6d748a-2263-4fb7-ae19-1715fd82d610 · outbound

This paper cites This results in a fully connected maze without loops, though the maze distribution is not perfectly uniform.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity This results in a fully connected maze without loops, though the maze distribution is not perfectly uniform

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-04T22:25:55.591345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:54.999813Z digest=sha256:dde03b44e76d8631d039410f1e18f2b246d57265278121b25e62285d82db2741

Observation 393fc2a7-c7fe-4415-a4e0-a539a3a91e50 · outbound

This paper cites When it hits a dead-end (no unvisited neighbors), it backtracks until it finds a new direction to explore, repeating until all cells are visited and connected into a complete maze.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity When it hits a dead-end (no unvisited neighbors), it backtracks until it finds a new direction to explore, repeating until all cells are visited and connected into a complete maze

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:25:55.573585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:55.006273Z digest=sha256:88880b44b76ad4810c030245f43ff7b8564cbe614d4a0ab86d33a03a3962d800

Observation fa89015a-4b55-445e-980f-fcf4aa9832cc · outbound

This paper cites Drunkard’s Walk.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Drunkard’s Walk

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:25:55.556466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:55.012046Z digest=sha256:f3a8837ad87ab2c642f06c45f42a5bc51189660d40ae85c76df4a44f2ae0158e

Observation d00034ce-a2bb-4864-99cf-98de2762e975 · outbound

This paper cites Tasks are generated by exhaustive rejection sampling: first, randomly select a number between 30% and 50%.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity Tasks are generated by exhaustive rejection sampling: first, randomly select a number between 30% and 50%

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-04T22:25:55.540780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:55.018047Z digest=sha256:27fa10c329247faa342778b28aa3afea2515d0c882ac4984f9531a3d3c2d19cb

Observation 42ce7289-6f8f-48ef-a593-8636769ab215 · outbound

This paper cites In our case, we chose the number of levels of outer walls to be 4.

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity In our case, we chose the number of levels of outer walls to be 4

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-04T22:25:55.524945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T22:25:55.024087Z digest=sha256:274a35b0630785fede6c65ac8d46a1f8a6e0fae964a5b68ab71e6d5368e4e9ef

Pith citing papers

Observation a9070308-b854-4a41-8648-2366cb62259c · inbound

The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs? cites this paper.

The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs? Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity

Reference 18

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verified exact
arxiv_id, observed 2026-05-15T13:05:38.339339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T13:05:26.484571Z digest=sha256:dbda2191194ca8c02afd6d11f648d0c30b5c5b3f6b08f3724e7ee79014fbb4af

Observation f8f035c4-8a86-4ec6-8b1e-ea46a98ea671 · inbound

When Reasoning Traces Become Performative: Step-Level Evidence that Chain-of-Thought Is an Imperfect Oversight Channel cites this paper.

When Reasoning Traces Become Performative: Step-Level Evidence that Chain-of-Thought Is an Imperfect Oversight Channel Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity

Reference 40

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metadata mismatch
arxiv_id, observed 2026-05-13T06:32:24.411763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T06:30:12.558660Z digest=sha256:8309fb4ea0abecc224cff2c06661902fdbac8b0f578a3ebce405334c458935c6

Observation 2c6f55a6-761b-411d-8c09-d8c33972bb67 · inbound

Effort as Ceiling, Not Dial: Reasoning Budget Does Not Modulate Cognitive Cost Alignment Between Humans and Large Reasoning Models cites this paper.

Effort as Ceiling, Not Dial: Reasoning Budget Does Not Modulate Cognitive Cost Alignment Between Humans and Large Reasoning Models Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:47:45.712192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T20:47:09.972006Z digest=sha256:c45ed3f86f2d822b377f14386c60739101d125ea4f243094f73e675eb166be58

Observation 7dce6cab-9111-4f04-88d3-3fbf39b877c1 · inbound

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers cites this paper.

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-27T00:40:17.883805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T00:38:47.350106Z digest=sha256:f30601c208d3490ec69ebebc4df68940798d87db6238c91fef5773733a873648

Observation 8e7f7ea4-a507-4a95-9875-dfddda4e936f · inbound

Masked Distillation: Internalizing the Chain-of-Thought in Language Models cites this paper.

Masked Distillation: Internalizing the Chain-of-Thought in Language Models Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity

Reference 19

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unresolved
no resolver link, observed 2026-08-02T10:49:24.376209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:49:24.376209Z digest=sha256:c650bbc3138be51985affe643440f741ff471b14e306c057611f507009a283b4