Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.05006.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.252571Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:13:13.622953Z
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 08bfe1a9-d6fb-4fab-90ad-64f0350a547c · inbound
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 163
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:50:33.252571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86890663-deca-4538-9ae6-381b1a419079 · inbound
Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? cites this paper.
Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:49:12.458231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fcb66fe-0fc2-42c9-a6cf-fd8b5072d6a7 · inbound
Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory cites this paper.
Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T01:04:32.828481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e24cd083-7e1b-48b5-a078-67ba63e0862f · inbound
Reinforcement Learning from Human Feedback: A Statistical Perspective cites this paper.
Reinforcement Learning from Human Feedback: A Statistical Perspective Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:13:13.626028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.