Paper Citation Record · LEDGER

$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.21662.

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

pith.paper-citation-record.v1
2410.21662 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:51:07.981603Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:52:29.544278Z

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 62e54b11-3d85-48fb-a2b4-9bf57c425d94 · inbound

AlphaPO: Reward Shape Matters for LLM Alignment cites this paper.

AlphaPO: Reward Shape Matters for LLM Alignment $f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:51:07.981603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a73587c-49f1-4b31-bd70-83d194260393 · inbound

The Differences Between Direct Alignment Algorithms are a Blur cites this paper.

The Differences Between Direct Alignment Algorithms are a Blur $f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:52:29.548025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40ae999b-8da0-42a5-b001-6d340fead544 · inbound

Preference learning made easy: Everything should be understood through win rate cites this paper.

Preference learning made easy: Everything should be understood through win rate $f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T18:32:21.028109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79bc3725-bcd6-437a-ad14-f00881577a6f · inbound

$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses cites this paper.

$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses $f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:35:58.699809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.