Pith. sign in

Paper Citation Record · LEDGER

OPTune: Efficient Online Preference Tuning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.07657.

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

pith.paper-citation-record.v1
2406.07657 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:21:33.317740Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.766646Z

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 64b23332-c366-4c73-87c2-e633713626e4 · inbound

Online Learning from Strategic Human Feedback in LLM Fine-Tuning cites this paper.

Online Learning from Strategic Human Feedback in LLM Fine-Tuning OPTune: Efficient Online Preference Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T10:21:33.317740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:21:33.317740Z digest=sha256:4a18e947cfbf72f327d10817d5ce2a0661b7b3ba0a3a811c9d9ba876327dec5e

Observation 36c9bc2d-d9cd-4862-a050-418e3038632c · inbound

Improving Fairness of Large Language Models in Multi-document Summarization cites this paper.

Improving Fairness of Large Language Models in Multi-document Summarization OPTune: Efficient Online Preference Tuning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:12.752661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:12.752661Z digest=sha256:391f764840848978cb0fd2516150507ff84424ec2f2a3b34827ba6a8b8b3f2bc

Observation 363d2e50-e2a3-4c9b-b302-2e591dd5dd73 · inbound

Steerable Cultural Preference Optimization of Reward Models cites this paper.

Steerable Cultural Preference Optimization of Reward Models OPTune: Efficient Online Preference Tuning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:13.768014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T21:16:27.315167Z digest=sha256:3ea8d900b836f5772b81da8d8cc8f6411ab6d21c9a7ba7853742030b6350431e