Paper Citation Record · LEDGER

Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.12668.

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

pith.paper-citation-record.v1
2502.12668 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:59:01.305843Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:36:28.635960Z

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 c425dc93-770c-4898-b7cc-6db9de6902b4 · inbound

IC-Cache: Efficient Large Language Model Serving via In-context Caching cites this paper.

IC-Cache: Efficient Large Language Model Serving via In-context Caching Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T16:59:01.305843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b7574c-8814-4de6-bddd-7803eb02cd7a · inbound

DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis cites this paper.

DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:20.282544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aaab403-01d6-40f6-a2cc-f93358fabc6b · inbound

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T03:04:43.713699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8c96127-9077-4008-8ce5-bb366b6cf05c · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:24:21.199309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec073892-fc27-4424-8e5f-34094c503dce · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:50.089092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22263117-b1b7-4e32-82c6-e5da3ab49c44 · inbound

LACE: Lattice Attention for Cross-thread Exploration cites this paper.

LACE: Lattice Attention for Cross-thread Exploration Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:36:28.639386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d16a0b6e-ce96-4cfe-88c9-cfd1cdb5ea03 · inbound

FUSE: Ensembling Verifiers with Zero Labeled Data cites this paper.

FUSE: Ensembling Verifiers with Zero Labeled Data Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:26:09.187343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.