Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-28T11:06:15.364142Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.02981.
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 2026-06-28T11:06:15.364142Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Revealing the structure of language model capabilities
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Evaluating Large Language Models Trained on Code
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Training Verifiers to Solve Math Word Problems
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics KTO: Model Alignment as Prospect Theoretic Optimization
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Training Compute-Optimal Large Language Models
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Language Models (Mostly) Know What They Know
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Scaling Laws for Neural Language Models
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
Reference 16
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Gonzalez, Hao Zhang, and Ion Stoica
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
Reference 18
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Manning, and Chelsea Finn
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Observational Scaling Laws and the Predictability of Language Model Performance
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Solving math word problems with process- and outcome-based feedback
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
Reference 30
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Le, Ed H
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models
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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work
Reference 33
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