Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:27.168369Z

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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.