Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.05006.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:20:25.791248Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:13:13.622953Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation ead4f0c5-aa75-4294-afdc-61c37b25fd27 · inbound
Clone-Robust AI Alignment Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08bfe1a9-d6fb-4fab-90ad-64f0350a547c · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4234ff4-16d0-4713-85a8-19c432503dbe · inbound
Metric Distortion for Tournament Voting and Beyond Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 1928
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? Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 58
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 Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 26
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 Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 93
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 e82743ee-9914-43f4-96a6-9e78d24e51be · inbound
Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Reference 178
Source-reported events for the cited work
Unavailable: canonical work link unavailable.