Paper Citation Record · LEDGER

Online Bandit Learning with Offline Preference Data for Improved RLHF

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.09574.

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

pith.paper-citation-record.v1
2406.09574 v4

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:34:28.208406Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:09:45.458685Z

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 999b1d41-92d8-4b78-9603-c90c16f0dd28 · inbound

Decentralized Relaxed Smooth Optimization with Gradient Descent Methods cites this paper.

Decentralized Relaxed Smooth Optimization with Gradient Descent Methods Online Bandit Learning with Offline Preference Data for Improved RLHF

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-05T21:34:28.208406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d2f385-b721-4694-a546-bb97cddd2e63 · inbound

Recycling History: Efficient Recommendations from Contextual Dueling Bandits cites this paper.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Online Bandit Learning with Offline Preference Data for Improved RLHF

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T16:17:24.627733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74a4b375-fb97-4186-8367-cdd78afc8c23 · inbound

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift cites this paper.

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift Online Bandit Learning with Offline Preference Data for Improved RLHF

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.959000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acaf2133-be61-4a56-bfa0-463827a3ce7a · inbound

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift cites this paper.

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift Online Bandit Learning with Offline Preference Data for Improved RLHF

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:09:45.462565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.