Paper Citation Record · LEDGER

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)

As of 10 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2601.21522.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.21522 v2

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:05:16.731784Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:58:41.097834Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

verified exact0
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 794f2014-a0ca-4860-9a9f-14bb5b8c85e0 · outbound

This paper cites Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling.

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-03T07:05:16.726478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17dce3cf-316c-4172-808f-3ddcac8d57cb · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Training Language Models to Self-Correct via Reinforcement Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T07:05:16.729114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5669f28-ac3e-47bc-b2dc-143aec6542e0 · outbound

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

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T07:05:16.719942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 138070ef-4331-45e5-8e85-f6187ae41eaa · outbound

This paper cites From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models.

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-03T07:05:16.731784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a43e734e-d037-47b7-afa8-2b6fefa287bd · outbound

This paper cites 1021/acs.jctc.4c01238.

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) 1021/acs.jctc.4c01238

Reference 2025

Resolution: malformed identifier; no resolver link, observed 2026-08-03T07:05:16.723814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8d3b054c-8868-4574-b958-6ed6aaf0fdce · inbound

Stochastic Resetting: A Non-Equilibrium Framework for Prediction, Inference and Design cites this paper.

Stochastic Resetting: A Non-Equilibrium Framework for Prediction, Inference and Design More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-01T20:58:41.097834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.