Paper Citation Record · LEDGER

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.00832.

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

pith.paper-citation-record.v1
2406.00832 v3

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 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:27:51.054553Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:51:42.008449Z

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 9d9880a1-80ff-40c3-bc4f-2f9990694c83 · inbound

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning cites this paper.

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T14:27:51.054553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfea97b9-bc02-4c6d-95dd-0ad90cae42ec · inbound

Language Model Networks: Supervision-Efficient Learning through Dense Communication cites this paper.

Language Model Networks: Supervision-Efficient Learning through Dense Communication BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:51:42.011625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 759f7deb-c904-489c-9723-b0b1552b1806 · inbound

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute cites this paper.

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:27.168369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab799296-c1a3-44d0-b8c4-81e837b32367 · inbound

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis cites this paper.

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:54.801422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93ddae34-6421-4d2e-a4a4-6e5dfa256901 · inbound

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:25.013301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 029cafa6-61b0-474c-94af-e58103c25f84 · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.064326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 33c0561a-5738-4944-9f00-cccbbf46acb6 · inbound

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL cites this paper.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:32:17.408062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.