Paper Citation Record · LEDGER

Theoretical guarantees on the best-of-n alignment policy

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2401.01879.

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

pith.paper-citation-record.v1
2401.01879 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:10:16.988194Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T15:58:33.337226Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e6a383f7-0768-4419-be70-6b7ae2bfa043 · inbound

CoDe: Blockwise Control for Denoising Diffusion Models cites this paper.

CoDe: Blockwise Control for Denoising Diffusion Models Theoretical guarantees on the best-of-n alignment policy

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:16.988194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96409407-698f-46e4-94b8-aa6ec6c1c4d4 · inbound

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning cites this paper.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Theoretical guarantees on the best-of-n alignment policy

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:58:33.341248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d2422cc-5f7a-453c-9cf4-7df4670ccb21 · inbound

Saffron-1: Safety Inference Scaling cites this paper.

Saffron-1: Safety Inference Scaling Theoretical guarantees on the best-of-n alignment policy

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T06:02:25.808950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a30c1c74-b806-4531-aeba-dff77327aa7d · inbound

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling cites this paper.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Theoretical guarantees on the best-of-n alignment policy

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:23.000632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5934dc1-2b12-42c4-a29f-b80ac7716703 · inbound

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track cites this paper.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track Theoretical guarantees on the best-of-n alignment policy

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:13:12.544731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d527b4d-6f21-4db1-ba27-14c2408157a1 · inbound

Does More Inference-Time Compute Really Help Robustness? cites this paper.

Does More Inference-Time Compute Really Help Robustness? Theoretical guarantees on the best-of-n alignment policy

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:19.894110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 416f724d-3c68-4ef6-a538-9b84233ed729 · inbound

Improving Large Vision and Language Models by Learning from a Panel of Peers cites this paper.

Improving Large Vision and Language Models by Learning from a Panel of Peers Theoretical guarantees on the best-of-n alignment policy

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T12:27:27.267919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff8a040-ccd8-4a84-a400-f3953db445e1 · inbound

Test-time reward-guided alignment of language models by importance sampling on pre-logit space cites this paper.

Test-time reward-guided alignment of language models by importance sampling on pre-logit space Theoretical guarantees on the best-of-n alignment policy

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T07:23:56.319781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aecf7ed5-1411-470a-81e6-aec8b16c3cf2 · inbound

Reinforcement Learning via Value Gradient Flow cites this paper.

Reinforcement Learning via Value Gradient Flow Theoretical guarantees on the best-of-n alignment policy

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:20:25.648729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 720b3ea0-fa45-4009-8487-9e6e6307be9d · inbound

Safe Inference-Time Alignment via Lagrangian Reward Augmentation cites this paper.

Safe Inference-Time Alignment via Lagrangian Reward Augmentation Theoretical guarantees on the best-of-n alignment policy

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T07:05:47.150308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201b043a-7f93-4d8d-8517-d38a777d7b34 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Theoretical guarantees on the best-of-n alignment policy

Reference 142

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178e307c-b0ff-4a56-891f-cd2d77dc74dc · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Theoretical guarantees on the best-of-n alignment policy

Reference 143

Resolution: unresolved; no resolver link, observed 2026-08-02T08:40:48.100649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1bb9e5-a64a-498e-994a-8a2353e61a3b · inbound

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning cites this paper.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Theoretical guarantees on the best-of-n alignment policy

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T05:05:24.716701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.