Sample Complexity and Representation Ability of Test-time Scaling Paradigms | Paper Citation Record

Observation 2f3e5c08-4b7f-4a64-9ad0-b414ae9c58c3 · outbound

This paper cites Aggarwal and S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Aggarwal and S

Reference 1

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This paper cites Agrawal and R.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Agrawal and R

Reference 2

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This paper cites What learning algorithm is in-context learning? Investigations with linear models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms What learning algorithm is in-context learning? Investigations with linear models

Reference 3

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This paper cites Alberti, N.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Alberti, N

Reference 4

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This paper cites Exploring Length Generalization in Large Language Models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Exploring Length Generalization in Large Language Models

Reference 5

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This paper cites Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 6

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This paper cites Barak, B.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Barak, B

Reference 7

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This paper cites Bhattamishra, K.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Bhattamishra, K

Reference 8

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This paper cites Bhattamishra, A.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Bhattamishra, A

Reference 9

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This paper cites On the Query Complexity of Verifier-Assisted Language Generation.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms On the Query Complexity of Verifier-Assisted Language Generation

Reference 10

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Observation 20be0fd3-1b07-403a-b099-4abe818dbcfd · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 11

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This paper cites Brown, B.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Brown, B

Reference 12

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 13

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This paper cites Carpentier and M.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Carpentier and M

Reference 14

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This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 19

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This paper cites PaLM: Scaling Language Modeling with Pathways.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms PaLM: Scaling Language Modeling with Pathways

Reference 20

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Observation ec4cb032-a0d4-4748-a4c6-bc5f7706949e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Training Verifiers to Solve Math Word Problems

Reference 21

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Observation a2b22f4e-3b74-4c37-8b7f-0ef28e015ff7 · outbound

This paper cites Codeforces, 2025.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Codeforces, 2025

Reference 22

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This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 23

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This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning

Reference 24

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Observation fdb5f5fe-cd42-4fac-97bc-025a2535bd69 · outbound

This paper cites Universal Transformers.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Universal Transformers

Reference 25

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This paper cites Elhage, N.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Elhage, N

Reference 27

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Observation 89ba6b50-d8a4-4413-908d-6b3bc2fc1448 · outbound

This paper cites Even-Dar, S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Even-Dar, S

Reference 28

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This paper cites The Statistical Complexity of Interactive Decision Making.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Statistical Complexity of Interactive Decision Making

Reference 30

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

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This paper cites Contextual Position Encoding: Learning to Count What's Important.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Contextual Position Encoding: Learning to Count What's Important

Reference 33

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Aime problems and solutions, 2025

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

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

Sample Complexity and Representation Ability of Test-time Scaling Paradigms DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 36

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This paper cites Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation

Reference 37

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Hendrycks, C

Reference 38

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Hoffmann, S

Reference 39

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Self-Improvement in Language Models: The Sharpening Mechanism

Reference 40

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This paper cites Huang, Z.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Huang, Z

Reference 41

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Irvine, D

Reference 42

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Jamieson, M

Reference 43

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This paper cites A Theory of Learning with Autoregressive Chain of Thought.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms A Theory of Learning with Autoregressive Chain of Thought

Reference 44

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Scaling Laws for Neural Language Models

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Kimi k1.5: Scaling reinforcement learning with llms

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Training Language Models to Self-Correct via Reinforcement Learning

Reference 48

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Can Vision Transformers Perform Convolution?

Reference 49

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms On the Expressive Power of Self-Attention Matrices

Reference 54

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This paper cites Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining

Reference 55

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers Learn Shortcuts to Automata

Reference 57

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Madaan, N

Reference 59

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This paper cites Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models

Reference 60

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Expressive Power of Transformers with Chain of Thought

Reference 61

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Munkhbat, N

Reference 62

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Observation ecdb5e1a-1db2-4943-9c05-5a38c69d2141 · outbound

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Sample Complexity and Representation Ability of Test-time Scaling Paradigms Nguyen, D

Reference 63

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Observation f7ee8b3b-c52b-47c4-a84e-d3f4e7790834 · outbound

This paper cites In-context Learning and Induction Heads.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms In-context Learning and Induction Heads

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:36.937388Z

Source-reported events for the cited work

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Observation 73f99fd1-7880-48e9-a5fa-fb147f70ba08 · outbound

This paper cites Openai o1 system card.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Openai o1 system card

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.062418Z

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Observation 8fa25975-9cce-42b8-84ea-39077102d11c · outbound

This paper cites Openai o3-mini, 2024.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Openai o3-mini, 2024

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.211354Z

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Observation e97dbf00-9c27-4fdc-9bea-58eb7a4622d6 · outbound

This paper cites Paszke, S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Paszke, S

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.289631Z

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Observation 874fb3e4-66b9-4b70-b8f1-96bf68a8c1b7 · outbound

This paper cites Pérez, P.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Pérez, P

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.377227Z

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Observation 0188bac7-0a53-41cd-83a6-9e03b6aac7d9 · outbound

This paper cites Petrov, P.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Petrov, P

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.460343Z

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Observation f62bbeb3-0f23-42d8-839b-adc3b227546e · outbound

This paper cites TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.529991Z

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Observation c2f3e066-ffe6-42d3-8866-d5cb62a0cfe3 · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.612022Z

Source-reported events for the cited work

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Observation fc647274-7564-4c63-92b5-05e8b957c27b · outbound

This paper cites Russo and B.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Russo and B

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.723626Z

Source-reported events for the cited work

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Observation 0a6b5194-bf95-45fd-8e2f-e3162dd023bf · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.849260Z

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Observation e0e4fd3c-792e-4adf-918e-215295894e38 · outbound

This paper cites Scaling Test-Time Compute Without Verification or RL is Suboptimal.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Scaling Test-Time Compute Without Verification or RL is Suboptimal

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.965006Z

Source-reported events for the cited work

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Observation 74917599-b916-4d9c-9711-2be70fff4475 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:38.061920Z

Source-reported events for the cited work

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Observation 27ffa459-7ec3-4804-94b0-db9d74f7c7c2 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:38.151238Z

Source-reported events for the cited work

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Observation e99cc63f-d617-458b-84c9-87bd9150003c · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:38.268748Z

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Observation 1c0905cb-9aa6-41d5-ac77-19d69cfcfcb6 · outbound

This paper cites Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:38.336495Z

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Observation 6abea978-665d-4298-9dc4-df11e4502e28 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:38.435625Z

Source-reported events for the cited work

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Observation 17048fba-47d6-45a5-938e-dcb5b784ee91 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:38.518593Z

Source-reported events for the cited work

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Observation 609e8753-af36-4bf4-9a0c-47b8338a16eb · outbound

This paper cites Transformers learn in-context by gradient descent.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers learn in-context by gradient descent

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:38.610485Z

Source-reported events for the cited work

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Observation 4660a8ba-ba40-4365-906d-f00d5957c680 · outbound

This paper cites V on Oswald, E.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms V on Oswald, E

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:35:51.621762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7275694a-aac1-4dd5-9ea7-cd6dfa7275e3 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:35:51.402933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 051ea6f7-db63-4440-b59a-77bade0bfa5c · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:35:51.221045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efaa6c35-3461-45d9-8c86-d68e68440617 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:39.099727Z

Source-reported events for the cited work

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Observation ca8584d1-5d9b-4b87-b9e3-98c0caa726df · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:35:51.023225Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6cbddfe8-df0b-4c4a-ae4d-3169810c82a0 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:39.314383Z

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Observation d3ceb4eb-f44a-4f31-bcd2-03ea29dc5941 · outbound

This paper cites Welleck, X.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Welleck, X

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:35:50.802238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bfb93d00-b598-4a93-988a-e1613a0fc9d4 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:35:50.591933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ed96abe-1c07-4dcd-b40d-731add360c15 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:35:50.083780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f735c041-e7ea-4857-861b-2fc035b4d1ec · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:35:49.717851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad43dd9e-c77f-4f94-acb1-bcc1d48d619b · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Efficient Streaming Language Models with Attention Sinks

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:39.777704Z

Source-reported events for the cited work

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Observation e8a684b5-ad3e-43b9-ae7f-ad43e187c278 · outbound

This paper cites Qwen3 Technical Report.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Qwen3 Technical Report

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:39.862646Z

Source-reported events for the cited work

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Observation d88f27d7-9d47-4d18-a19f-e753dfa35181 · outbound

This paper cites Self-Attention Networks Can Process Bounded Hierarchical Languages.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Self-Attention Networks Can Process Bounded Hierarchical Languages

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:39.945202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 599c1a9b-342d-419c-8457-6a7b5f83da82 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:35:49.437700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8133bf3c-f6d6-434a-b809-3f67a0614823 · outbound

This paper cites Zaheer, G.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Zaheer, G

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:35:49.329955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bb0549b3-c6cb-424d-a49f-3835fa3f7a45 · outbound

This paper cites Zhang, S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Zhang, S

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:35:49.142415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa0cbc38-aef4-48de-b254-95a7d48bd7f7 · outbound

This paper cites HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position

Reference 98

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:35:43.492055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ff12146-2fd6-421e-bddb-b55a01cf3faa · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:40.350270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82306cf7-ce89-4c96-b157-f279126f2aac · outbound

This paper cites Zhang, M.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Zhang, M

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:35:48.998776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Outbound references

Pith citing papers