Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility | Paper Citation Record

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility The Curious Case of Neural Text Degeneration

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Optimizing Large Language Model Hyperparameters for Code Generation

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility arXiv preprint arXiv:2407.01082 , year=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility A Thorough Examination of Decoding Methods in the Era of LLMs

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Closing the Curious Case of Neural Text Degeneration

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages =

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility B leu: a Method for Automatic Evaluation of Machine Translation

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Advances in Neural Information Processing Systems , volume=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Self-Consistency Improves Chain of Thought Reasoning in Language Models

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Advances in neural information processing systems , volume=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Advances in Neural Information Processing Systems , volume=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility The Fourteenth International Conference on Learning Representations , year=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility The Annals of Statistics , volume=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Forty-first International Conference on Machine Learning , year=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility A Statistical Framework for Ranking LLM-Based Chatbots

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Inclusion Arena: An Open Platform for Evaluating Large Foundation Models with Real-World Apps

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility 2nd Workshop on Models of Human Feedback for AI Alignment , year=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Findings of the Association for Computational Linguistics: NAACL 2025 , pages=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Improving Reproducibility in Machine Learning Research (A Report from the

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Proceedings of Machine Learning and Systems , volume =

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Second Conference on Language Modeling , year =

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Unresolved cited work

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Transactions on Machine Learning Research , year=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility International Conference on Learning Representations , year=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility arXiv preprint arXiv:2602.10367 , year=

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Challenging

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Measuring Mathematical Problem Solving With the MATH Dataset

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Observation 332bdf63-fe15-4976-9ed2-77e40cc2b11d · outbound

This paper cites FuseChat: Knowledge Fusion of Chat Models.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility FuseChat: Knowledge Fusion of Chat Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:03.942405Z

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Observation a3bd99cc-ceeb-449e-981c-92e22641e042 · outbound

This paper cites FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:03.966561Z

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Observation 1eafb797-f179-47da-97b1-418540031a12 · outbound

This paper cites Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:03.983309Z

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Observation df092afa-de0a-4486-af45-a42e10b4aa6a · outbound

This paper cites TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.000351Z

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Observation 809b3a86-bf6f-4c0f-9fce-ae93cedd94bc · outbound

This paper cites The Twelfth International Conference on Learning Representations , year =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility The Twelfth International Conference on Learning Representations , year =

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.026475Z

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Observation 478271a6-d874-498f-87f3-4be5a1de9795 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility The Fourteenth International Conference on Learning Representations , year =

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.036564Z

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Observation 2ce0b4eb-d728-45e2-9ffb-879216c3baa0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Advances in Neural Information Processing Systems , volume =

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.052419Z

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Observation fdfb8f6c-12eb-4cea-91eb-3be546c48d71 · outbound

This paper cites Optimal Aggregation of.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Optimal Aggregation of

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.065643Z

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Observation dacdbd11-2b29-464c-8d42-666e13e8adb3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Advances in Neural Information Processing Systems , volume =

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.073304Z

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Observation 125c9ea7-6e1c-4a21-ae1f-7eb909cd7fd2 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility The Fourteenth International Conference on Learning Representations , year =

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.084816Z

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Observation 77f8467b-9cc6-4d44-b7ca-fd51bec82f1e · outbound

This paper cites Transactions on Machine Learning Research , year =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Transactions on Machine Learning Research , year =

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.100667Z

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Observation 71f7c46e-1a9b-40fe-906c-5556af1ea1ae · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning (ICML) , series =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Proceedings of the 40th International Conference on Machine Learning (ICML) , series =

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.110984Z

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Observation 5387bdf4-bcf9-4feb-a438-ad11c386f66b · outbound

This paper cites Proceedings of the 42nd International Conference on Machine Learning (ICML) , series =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Proceedings of the 42nd International Conference on Machine Learning (ICML) , series =

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.136460Z

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Observation c56500bb-cc81-4324-9519-2830e00b443c · outbound

This paper cites Soft Best-of-n Sampling for Model Alignment.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Soft Best-of-n Sampling for Model Alignment

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.163654Z

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Observation 92d5ee9e-8602-4389-b1ed-c0cb7aed0ca3 · outbound

This paper cites It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:49:09.925826Z

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Observation c673f3cc-00dc-4e2c-9e02-904c41bb1739 · outbound

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Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL) , year =

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.188855Z

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Observation d436f7b9-b20f-4fee-9250-0b5715addc7e · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Transactions of the Association for Computational Linguistics , volume =

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.197812Z

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Observation 01295ef8-cac2-4f6d-9a0f-264133eb254b · outbound

This paper cites Better Instruction-Following Through Minimum Bayes Risk.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Better Instruction-Following Through Minimum Bayes Risk

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.204164Z

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Observation 07c3911c-76bf-493e-8842-6f83b1d2d69e · outbound

This paper cites Faster Minimum Bayes Risk Decoding with Confidence-based Pruning.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Faster Minimum Bayes Risk Decoding with Confidence-based Pruning

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:49:09.780154Z

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Observation ef98f7cc-dce0-4a33-82d8-643987a11e78 · outbound

This paper cites Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:49:09.689468Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e659d0c6-c363-4598-b954-9181caf8ad6f · outbound

This paper cites an unresolved cited work.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Unresolved cited work

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.267671Z

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Observation 6f644802-bea2-40f0-b29c-f90a475d5cf4 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.283055Z

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Observation 04540a5a-9b77-48e7-973a-0bae09f5332b · outbound

This paper cites Universal Self-Consistency for Large Language Model Generation.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Universal Self-Consistency for Large Language Model Generation

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.294789Z

Source-reported events for the cited work

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Observation 5203ef2c-225a-4bd0-83bd-a693844b4bb2 · outbound

This paper cites Ranked Voting based Self-Consistency of Large Language Models.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Ranked Voting based Self-Consistency of Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.410743Z

Source-reported events for the cited work

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Observation 4bf09981-9f9c-44a9-8920-c77510fc6931 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Training Verifiers to Solve Math Word Problems

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.448798Z

Source-reported events for the cited work

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Observation 982ad22c-feed-4b18-939b-2f880fec4c88 · outbound

This paper cites Let's Verify Step by Step.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Let's Verify Step by Step

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.469228Z

Source-reported events for the cited work

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Observation 61a36d49-167c-4402-8516-20f0e84765a4 · outbound

This paper cites BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.482328Z

Source-reported events for the cited work

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Observation 18fdb6ed-7ca2-453d-a9a1-399b5c03c232 · outbound

This paper cites Variational Best-of-N Alignment.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Variational Best-of-N Alignment

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.493890Z

Source-reported events for the cited work

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Observation 9c4f0e19-75d9-4289-b4e4-913bfb9ff9c3 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.507240Z

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Observation de297c5c-2d83-4dc2-a45f-fdb00483a7e6 · outbound

This paper cites 2024 , month = jul, publisher =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility 2024 , month = jul, publisher =

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.514114Z

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Observation 7b9ed27f-c2d5-49e1-886f-7968f8de9626 · outbound

This paper cites 2024 , month = jun, publisher =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility 2024 , month = jun, publisher =

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.520452Z

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Observation ea09fda9-5d18-4c4a-b8e4-1fff5b46108a · outbound

This paper cites Policy Guided Tree Search for Enhanced.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Policy Guided Tree Search for Enhanced

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.528030Z

Source-reported events for the cited work

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Observation 88595a3f-38b0-42c4-85c3-636c7d31c86f · outbound

This paper cites Transactions on Machine Learning Research , year =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Transactions on Machine Learning Research , year =

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.536806Z

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Observation e987dfd2-6f6a-4940-8dec-f459990e9a28 · outbound

This paper cites 2026 , eprint =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility 2026 , eprint =

Reference 107

Resolution: verified exact; doi, observed 2026-08-15T14:49:09.041995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b0eb9fe-4132-4c92-9fd7-a1b39b19e39e · outbound

This paper cites 2026 , note =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility 2026 , note =

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.550606Z

Source-reported events for the cited work

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Observation 70cacda5-6998-49f4-ba8a-15bb4988c998 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Advances in Neural Information Processing Systems , year =

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.558411Z

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Observation 28e6f3fe-ca38-4975-81f4-a9f712a87b4a · outbound

This paper cites DEFT: Decoding with Flash Tree-Attention for Efficient Tree-Structured.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility DEFT: Decoding with Flash Tree-Attention for Efficient Tree-Structured

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.567845Z

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Observation 73740463-84e4-4c4b-9342-7730f1b5dce3 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Advances in Neural Information Processing Systems , year =

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.576930Z

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Observation 021f8166-9156-4f2d-a5a3-4a5afde8ccc2 · outbound

This paper cites Bandit Based.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility Bandit Based

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.587472Z

Source-reported events for the cited work

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Observation a2bcafe9-21f7-4526-bda4-f0ce31176a44 · outbound

This paper cites and Powley, Edward and Whitehouse, Daniel and Lucas, Simon M.

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility and Powley, Edward and Whitehouse, Daniel and Lucas, Simon M

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:04.602845Z

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