Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:22:19.293377Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2605.15100.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:22:19.293377Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
58 of 58 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 165cfffe-8c5b-47b6-a431-9fdcfddfbc21 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
Reference 1
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Observation 42ae5eea-46dd-4469-b7e4-b016b6fae158 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Bernardo and Adrian F
Reference 2
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Observation e4661eb8-8f09-4b6e-a894-492cadb26f56 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 3
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Observation 83f2f037-eaf0-4a07-8417-75dd9871f7ce · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Time series analysis and its applications - with r examples.Journal of the American Statistical Association, 97(458):656–657, 2006
Reference 4
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Observation 22bd23e7-8dd9-4c3b-9438-5fab5ae3de15 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Power prior distributions for regression models.Statistical Science, 15(1):46–60, 2000
Reference 5
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Observation c9e19cdb-38c5-42e4-a649-e80a502663af · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 6
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Observation e69832b2-83bf-4c71-a2bd-c71601ec15a0 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Test-time model adaptation for quantized neural networks,
Reference 7
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Observation 259ed543-f2f6-412d-bf63-21ddc63003e0 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 8
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Observation d34f7d4b-0561-4591-a871-fb904e7c3b9f · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Deep Think with Confidence
Reference 9
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Observation 08f570c4-126e-404f-a239-8305b005be74 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Bayesian data analysis.Wiley Interdisciplinary Reviews Cognitive Science, 1(5):658–676, 2014
Reference 10
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Observation 4ae560b0-4016-4bce-ad14-7ab6b37614b8 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Weinberger
Reference 11
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Observation af145d2b-380f-440b-b240-10dc2a297b5f · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Unresolved cited work
Reference 12
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Observation c7d45f95-16f1-411d-bf5e-d3437f9f1063 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Reasoning with Language Model is Planning with World Model
Reference 13
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Observation 9bb4a874-95db-4144-8488-cab033afb494 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Measuring mathematical problem solving with the math dataset,
Reference 14
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Observation 0c07d3a6-a72f-4c9b-aa83-830874921638 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Monte carlo strategies in scientific computing.Technometrics, 44(4): 403–404, 2002
Reference 15
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Observation a6179bcb-888d-4eed-a233-377d374b4436 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Large Language Models Cannot Self-Correct Reasoning Yet
Reference 16
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Observation 770d3a5d-8f47-4594-a5b4-b2a975cacc89 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling The power prior: theory and applications.Statistics in Medicine, 2015
Reference 17
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Observation 25b45cfd-f0dc-4000-9378-cf732954d550 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Scalable best-of-n selection for large language models via self-certainty, 2025
Reference 18
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Observation cada1b5c-50c0-4daa-9c7e-e18f69ad166f · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning
Reference 19
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Observation 04f5fc8a-3067-4c1a-9c8d-932ce6a1c410 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Unresolved cited work
Reference 20
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Observation b7021934-4a69-4a98-af01-1282b6b7c4c9 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling CriticEval: Evaluating Large Language Model as Critic
Reference 21
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Observation 2a5bc13d-d63c-43f4-ab8f-e2a78e9294ba · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Modeling uncertainty trends for timely retrieval in dynamic rag, 2025
Reference 22
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Observation f856019d-72c6-4d8b-a09a-8ce1ea9e5623 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
Reference 23
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Observation 49b46007-169f-4cf9-b8c8-22a3e6fd8e2e · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Escape sky-high cost: Early-stopping self-consistency for multi-step reasoning,
Reference 24
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Observation 3498219d-cf6f-4181-93e7-ed35bcad63d7 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Exploratory data analysis.John Wiley & Sons, Ltd, 2008
Reference 25
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Observation 92813981-c913-4eec-be0d-47c817d34679 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Non-myopic Generation of Language Models for Reasoning and Planning
Reference 26
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Observation 9d984c2d-023e-4489-9f24-eedcdde26247 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Self-Refine: Iterative Refinement with Self-Feedback
Reference 27
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Observation 1b77d61e-0373-415a-982f-1e2e45e0b193 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach
Reference 28
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Observation bd744bfb-a080-481f-abb3-d643df152ce1 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Learning Transferable Visual Models From Natural Language Supervision
Reference 29
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Observation f39860c8-ea45-4b84-b311-f39d64b96aff · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Reference 30
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Observation aacd9a84-9a4d-48bd-9a30-c92efc264a82 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Reference 31
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Observation 370a9ff9-8ca6-42be-8cde-f58cc011e9a5 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Think just enough: Sequence-level entropy as a confidence signal for llm reasoning, 2025
Reference 32
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Observation 84956359-5817-4c4c-b0b9-60766535080d · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 33
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Observation 841ace06-259f-4025-9619-e73872782f39 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Llm-check: Investigating detection of hallucinations in large language models
Reference 34
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Observation 1f85fadb-c9a7-43f4-b7b9-2e573e3e58a6 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul Christiano
Reference 35
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Observation 40229501-c700-481d-88aa-631c7c1c9ee1 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Silverman
Reference 36
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Observation 3161c6a3-8922-406e-bc61-76593c6968a9 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Understanding robust and exploratory data analysis.Wiley,
Reference 37
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Observation ad7249aa-0d5a-4a56-81ff-ed8d3cc1d141 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Exploratory data analysis.Reading/Addison-Wesley, 1977
Reference 38
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Observation ceac3be8-fa98-4f7d-9972-b3890946ff45 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Unresolved cited work
Reference 39
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Observation 3e3ce105-c363-4a9e-90dc-adff1f55ed4e · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
Reference 40
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Observation 81102452-c2f1-4be1-8800-352890567463 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 41
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Observation 79fc6998-4dd9-49cd-87fb-b7a828ed2263 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 42
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Observation b65ffda5-cdc6-46fa-9757-748b95f0064f · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Unresolved cited work
Reference 43
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Observation 67ff87ee-9c66-4364-9941-79925ebbdc83 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Unresolved cited work
Reference 44
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Observation e18cc51c-37af-430e-ac23-780709d570b3 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models
Reference 45
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Observation c18c287c-4670-4de3-83fa-d0e7479b093b · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling ϕ- decoding: Adaptive foresight sampling for balanced inference-time exploration and exploitation,
Reference 46
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Observation d2233bd5-1dda-4d5c-bafc-0bbf3cda3ef3 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling MUR: Momentum Uncertainty guided Reasoning for Large Language Models
Reference 47
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Observation d649a0a3-eac5-4491-a1b4-21b0bbd4cd53 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Reference 48
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Observation 1ab4d966-2213-4cbc-99cb-937a9bd5a847 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling LIMO: Less is More for Reasoning
Reference 49
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Observation b75d57a1-83aa-47f1-bb0c-cdd080b526a3 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
Reference 50
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Observation 8ac16d62-cb56-4545-afe1-8972081a7d45 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling $\phi$-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation
Reference 51
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Observation 2d9e9233-4c6d-4c0b-9824-43c931d968b3 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling TTRL: Test-Time Reinforcement Learning
Reference 56
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Observation 5abc772f-1836-4725-b71d-fab8ff860f07 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling 2.Decaying Hallucinationsare pruned via the velocity penalty term inR
Reference 57
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Observation 66269dea-5355-4bf7-9f69-334642cd4342 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Unresolved cited work
Reference 58
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Observation 7df2ae6f-4a9b-4478-ad09-83b66d486789 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Measuring Mathematical Problem Solving With the MATH Dataset
Reference 2021
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Observation 6903e8ad-7996-405c-ae95-4b6d350f27eb · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Learning to summarize from human feedback
Reference 2022
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Observation 5fa3ae62-c097-46ea-a110-2394115f4c12 · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Reference 2024
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Observation b4e992e6-da71-417f-a7f4-14d5328ac00b · outbound
Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Test-Time Model Adaptation for Quantized Neural Networks
Reference 2025
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