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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:54.832432Z digest=sha256:4ce6278e221951ad7bfd19d56ce2179e74a4e215a0dcfc04a81d946a163651f7

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:c8b4d1ac9303867930dfe72c33bb81d45d7dc38d7d409f2ca35915b93a17ab63

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:54.881755Z digest=sha256:5f4c007aeffb5073abd8db5dc534c0187a54da7c9d7a1f0eea1ac14776692cf3

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:b2cd170e67e674509f1fc617cb818fa77718d17db6e21cca4eb544be78df67ff

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=sha256:3f26fe6dff048a2f93b4647d2c68ff7b47221c055ae7b3e76b429c90b8a71e8f

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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source=pdf_text observed=2026-08-04T22:25:54.907945Z digest=sha256:fa1fa97778b5558e180d77edc044b64918de6198bb77449404cab6cd94c4d8d0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:54.912862Z digest=sha256:27cc33635308896300f4771942755fd598f1a6673201fffd0c76c05437930c22

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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source=pdf_text observed=2026-08-04T22:25:54.918507Z digest=sha256:497c28333f579bfa085f383522838c95e24d95f1a401b5d98cbea148e6743a65

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=sha256:020bae93730b28c37ebadc528b3ced2a83e1e09cf17c3e4cf605746ae0f9e142

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:54.940256Z digest=sha256:17c00428fc726d3cd452ccaf32494ca8bb32fd33ee9fe5c9c6330710159932f6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:54.945016Z digest=sha256:abfe3b0fadbf28af4a2ee990b2f0d56bb32500a47d47446240eed6ed8c87a2cf

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=sha256:3eff92f649ba8b0bd0f1c6d77a9942aad901f45eb33ac3bef46cab2edabd79ee

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=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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Source-reported events for the cited work

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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

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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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:54.994770Z digest=sha256:a57f7a928fcd16a7ef10faf4fda8d0cfe48ddbee7981fe5f4774202fd743e50d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:54.999813Z digest=sha256:e4f6307e1958a12eee6b0140f784a32a1c5e10f488b21640451a55ec8c61d4ef

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:55.006273Z digest=sha256:6feb4a1bbcf76d8349c7c1d7a5412567a3474f4fee7820b2311e312f4d072f5c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:55.012046Z digest=sha256:4190d62afd7b25f0359d50aa323b095d35896c1cf11a0f3b848831b7a344182b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:55.018047Z digest=sha256:fb65aca5956647a4af04ea4622fe9c4b46354db104ea39ab332e428124964564

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-04T22:25:55.024087Z digest=sha256:0c54c8a8f63d845f35f9705ac0229a8f99903f63edd247517b93d690312581e2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T13:05:26.484571Z digest=sha256:1010a186e338ba7329010d19ecd778bddbdf5e2a56565ba289eca220cc22fc6f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T06:30:12.558660Z digest=sha256:c9c71087d8014cfdf5205de3fc9d141ad77ab8b70483296191d7f75ca651c056

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T20:47:09.972006Z digest=sha256:723785ec05177ff0964200c96be67c82f962bd6be69c65858ec7a2793cb1f970

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T00:38:47.350106Z digest=sha256:0d8f134bbc0a3c16ac2d5003752b24082e794ccb4ac2e647b33618ecf9db16e4

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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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