Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.10342.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:07:09.475512Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:59:06.798546Z
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 653d82f0-e58a-4f0c-9600-dc62f106ada8 · inbound
Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79b6d38a-f49e-4578-9de2-766c59c3f55a · inbound
Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
Reference 7
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 7526c284-aae6-4f09-a9e1-b9d1e312a23d · inbound
Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
Reference 35
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 2060ce45-6da3-43bd-9359-594773221f40 · inbound
Distributed Zeroth-Order Policy Gradient for Networked Multi-agent Reinforcement Learning from Human Feedback Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
Reference 29
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 c95c199c-91b2-4ff6-a7dc-76749bedb1da · inbound
Online Reward-Punishment Learning from Fixed-Channel Perceptual Event Streams without Environment Rewards Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
Reference 9
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.