How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models | Paper Citation Record

Observation a373dd73-b609-4f09-97fd-80d1fbab6cd3 · outbound

This paper cites Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Reference 1

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Observation e8199497-cb67-4eed-a4ba-2fb9fa508bdd · outbound

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

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Reference 2

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This paper cites Monitoring monitorability.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Monitoring monitorability

Reference 3

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Observation f4d9de79-eb3e-4151-8588-b0e7e667031c · outbound

This paper cites Learning to reason with LLMs.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Learning to reason with LLMs

Reference 4

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Reasoning models

Reference 5

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This paper cites Gemini thinking.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Gemini thinking

Reference 6

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Extended thinking

Reference 7

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This paper cites Detecting misbehavior in frontier reasoning models.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Detecting misbehavior in frontier reasoning models

Reference 8

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This paper cites Evaluating chain-of-thought monitorability.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Evaluating chain-of-thought monitorability

Reference 9

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This paper cites Weinberger.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Weinberger

Reference 10

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Observation e3830b88-790d-46b6-a444-51592cf03256 · outbound

This paper cites Language Models (Mostly) Know What They Know.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Language Models (Mostly) Know What They Know

Reference 11

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Observation 670ec74b-dca9-47c8-a921-a4b1b4dc5314 · outbound

This paper cites Discovering latent knowledge in language models without supervision.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Discovering latent knowledge in language models without supervision

Reference 12

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Observation 9a60e5fd-6ff8-4cf1-82f8-481d7bc715e7 · outbound

This paper cites The internal state of an LLM knows when it’s lying.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models The internal state of an LLM knows when it’s lying

Reference 13

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Observation f8de3072-45d2-49d5-bdb2-b18bc8598df4 · outbound

This paper cites Qwen3 model collection.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Qwen3 model collection

Reference 14

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This paper cites Qwen3 Technical Report.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Qwen3 Technical Report

Reference 15

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Observation 63c905e8-16e3-4985-928c-ab192a798ba0 · outbound

This paper cites Introducing gpt-oss.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Introducing gpt-oss

Reference 16

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Observation fca9c4e1-5f2f-4d9f-b351-103c57a10434 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models gpt-oss-120b & gpt-oss-20b Model Card

Reference 17

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Observation 39e291d4-6ebd-4712-9ce7-047c3036de32 · outbound

This paper cites GPQA: A graduate-level Google-proof Q&A benchmark.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models GPQA: A graduate-level Google-proof Q&A benchmark

Reference 18

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Observation 69d9e42c-34f4-49ef-a96f-d119cd9e6672 · outbound

This paper cites MMLU-Pro: A more robust and challenging multi-task language understand- ing benchmark.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models MMLU-Pro: A more robust and challenging multi-task language understand- ing benchmark

Reference 19

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Observation d26bead1-62ce-4b4b-9afc-07b0f2c4c903 · outbound

This paper cites Benchmarks saturate when the model gets smarter than the judge.arXiv preprint arXiv:2601.19532, 2026.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Benchmarks saturate when the model gets smarter than the judge.arXiv preprint arXiv:2601.19532, 2026

Reference 20

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Observation 69bd3f39-8981-4b20-963f-77b5d753461c · outbound

This paper cites Le, and Denny Zhou.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Le, and Denny Zhou

Reference 21

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Observation 9285d41e-9d1e-4e76-9931-60e05bacd976 · outbound

This paper cites Large language models are zero-shot reasoners.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Large language models are zero-shot reasoners

Reference 22

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Observation dd54062b-bbea-4263-b1a7-d638b3788517 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Training Verifiers to Solve Math Word Problems

Reference 23

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Observation 4590fb20-cd6a-4419-9b69-45f05f9bd1b8 · outbound

This paper cites Let’s verify step by step.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Let’s verify step by step

Reference 24

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This paper cites The relationship between reasoning and performance in large language models–o3 (mini) thinks harder, not longer.Scientific Reports, 16, 2026.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models The relationship between reasoning and performance in large language models–o3 (mini) thinks harder, not longer.Scientific Reports, 16, 2026

Reference 25

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

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 26

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Unresolved cited work

Reference 27

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Observation f5d986b2-c8e4-4cf2-8906-e615e3486f3c · outbound

This paper cites Faithful chain-of-thought reasoning.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Faithful chain-of-thought reasoning

Reference 28

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Reasoning Models Don't Always Say What They Think

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T15:22:55.643430Z

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This paper cites MonitorBench: A comprehensive benchmark for chain-of-thought monitorability in large language models.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models MonitorBench: A comprehensive benchmark for chain-of-thought monitorability in large language models

Reference 30

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This paper cites Recent frontier models are reward hacking.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Recent frontier models are reward hacking

Reference 31

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This paper cites Zimmermann, David K.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Zimmermann, David K

Reference 32

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This paper cites ReasonOps: Operator Segmentation for LLM Reasoning Traces.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models ReasonOps: Operator Segmentation for LLM Reasoning Traces

Reference 33

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This paper cites Length Penalties Make Chain-of-Thought Less Monitorable.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Length Penalties Make Chain-of-Thought Less Monitorable

Reference 34

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models How to Steal Reasoning Without Reasoning Traces

Reference 35

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This paper cites Measuring weak-to-strong legibility of reasoning models,.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Measuring weak-to-strong legibility of reasoning models,

Reference 36

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Selective classification for deep neural networks

Reference 37

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Selective question answering under domain shift

Reference 38

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Unresolved cited work

Reference 39

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This paper cites Post-abstention: Towards reliably re-attempting the abstained instances in QA.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Post-abstention: Towards reliably re-attempting the abstained instances in QA

Reference 40

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This paper cites Understanding intermediate layers using linear classifier probes.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Understanding intermediate layers using linear classifier probes

Reference 41

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This paper cites What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties

Reference 42

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This paper cites Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1): 207–219, 2022.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1): 207–219, 2022

Reference 43

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Observation 51cf9d20-99a4-4bfa-856b-4a1a76cf83e3 · outbound

This paper cites The geometry of truth: Emergent linear structure in large language model representations of true/false datasets.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models The geometry of truth: Emergent linear structure in large language model representations of true/false datasets

Reference 44

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This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 45

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This paper cites Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought

Reference 46

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This paper cites Catching rationalization in the act: Detecting motivated reasoning before and after CoT via activation probing.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Catching rationalization in the act: Detecting motivated reasoning before and after CoT via activation probing

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T15:22:55.694887Z

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Observation 553a984d-8060-496d-b3fb-d9e8d817bdaf · outbound

This paper cites Can LLMs predict their own failures? self-awareness via internal circuits,.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Can LLMs predict their own failures? self-awareness via internal circuits,

Reference 48

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Unresolved cited work

Reference 49

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Observation 7fa0ea57-4e87-4d6d-ab0a-7fa9a9957c7a · outbound

This paper cites Lexical Hints of Accuracy in LLM Reasoning Chains.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Lexical Hints of Accuracy in LLM Reasoning Chains

Reference 50

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Observation f50feb57-7cfa-40dc-b940-c4f52dfef437 · outbound

This paper cites Sentence-BERT: Sentence embeddings using Siamese BERT-networks.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Sentence-BERT: Sentence embeddings using Siamese BERT-networks

Reference 51

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Observation 55d4a926-5ff9-411e-8ea0-cd4757ef639c · outbound

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Cohere’s embed models: details and application

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T15:22:55.711440Z

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Observation e09c6ee7-226e-4fb6-9f28-dd3a366f1009 · outbound

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Bag of tricks for efficient text classification

Reference 53

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Observation b31ef1b5-be68-4428-9359-8161787a2b71 · outbound

This paper cites Efficient Few-Shot Learning Without Prompts.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Efficient Few-Shot Learning Without Prompts

Reference 54

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Ma- tryoshka representation learning

Reference 55

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Observation 9f456af3-86a9-40a0-a709-5e0595d9c956 · outbound

This paper cites Accessed 2026-05-12.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Accessed 2026-05-12

Reference 56

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Task prompt:

Reference 57

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Observation dc37a3c5-5168-4efe-9585-d90f0ea45894 · outbound

This paper cites Cohere Embed v4 model parameters for Amazon Bedrock.https://docs.aws.amazon.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Cohere Embed v4 model parameters for Amazon Bedrock.https://docs.aws.amazon

Reference 60

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Observation 73985422-df85-4de7-a118-8b29d80e8f3c · outbound

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Unresolved cited work

Reference 2023

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Observation b310046e-0b9c-4079-8694-d3b6bee995cd · outbound

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How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Unresolved cited work

Reference 2025

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Observation 4a502dba-f086-44ab-a5fb-40a1dea5224f · outbound

This paper cites Measuring Weak-to-Strong Legibility of Reasoning Models.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Measuring Weak-to-Strong Legibility of Reasoning Models

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-04T15:22:55.664897Z

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