Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Online Learning from Strategic Human Feedback in LLM Fine-Tuning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.16834.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T16:38:06.631594Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T03:57:29.547083Z
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 e4c26c1d-ba06-405a-9602-c300644a5c25 · inbound
The Battling Influencers Game: Nash Equilibria Structure of a Potential Game and Implications to Value Alignment cites this paper.
The Battling Influencers Game: Nash Equilibria Structure of a Potential Game and Implications to Value Alignment Online Learning from Strategic Human Feedback in LLM Fine-Tuning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:38:06.631594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e86a58fa-c6b6-4bea-968b-51222439eda9 · inbound
How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators cites this paper.
How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators Online Learning from Strategic Human Feedback in LLM Fine-Tuning
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:57:29.550406Z
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 a8d5d594-0c3c-4105-980d-49db6e563d74 · inbound
Incentivizing High-Quality Human Annotations with Golden Questions cites this paper.
Incentivizing High-Quality Human Annotations with Golden Questions Online Learning from Strategic Human Feedback in LLM Fine-Tuning
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T13:42:19.382745Z
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.