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Paper Citation Record · LEDGER

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics

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.

pith.paper-citation-record.v1
2606.02981 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:06:15.364142Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

  • verified exact13
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c526e6d-2e1e-457c-926a-303993caaa15 · outbound

This paper cites an unresolved cited work.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 1

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Observation 8156c56e-a3bd-4c41-9d65-b7443832468c · outbound

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

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2

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Observation 90b96716-7ba7-4398-9a27-553fd90a9efa · outbound

This paper cites Revealing the structure of language model capabilities.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Revealing the structure of language model capabilities

Reference 3

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arxiv_id, observed 2026-07-02T02:16:26.633610Z

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 4

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Observation dfdc200f-75bb-4a56-946c-0c9700e19d88 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Evaluating Large Language Models Trained on Code

Reference 5

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Source-reported events for the cited work

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Observation d57756d6-7122-4419-be03-16d4bd683a56 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

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Observation fea5f337-4f2d-4e49-9b78-bd819098ed9b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Training Verifiers to Solve Math Word Problems

Reference 7

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Observation 16ea9ca0-0884-4a8c-a187-fd35a3e072da · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics KTO: Model Alignment as Prospect Theoretic Optimization

Reference 8

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 9

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Observation e9a71635-10ce-4475-90f3-8f6252d83fb3 · outbound

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Training Compute-Optimal Large Language Models

Reference 10

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 11

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 12

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This paper cites an unresolved cited work.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 13

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Language Models (Mostly) Know What They Know

Reference 14

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verified exact
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Observation 0c41192f-f306-49dc-b451-eeba96e3cc4f · outbound

This paper cites Scaling Laws for Neural Language Models.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Scaling Laws for Neural Language Models

Reference 15

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 16

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Observation f40c3a42-f20a-4c25-a61e-d4d823929a29 · outbound

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Gonzalez, Hao Zhang, and Ion Stoica

Reference 17

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Source-reported events for the cited work

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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

Reference 19

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 20

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 21

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 22

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 23

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Manning, and Chelsea Finn

Reference 24

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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

Reference 25

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Source-reported events for the cited work

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 26

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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

Reference 27

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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

Reference 28

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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

Reference 29

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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

Reference 31

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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

Reference 32

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Source-reported events for the cited work

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Observation 2bd0e3b5-b544-4a63-92c2-fc129d81dace · outbound

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Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Unresolved cited work

Reference 33

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.