Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.04778.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:37.619351Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T07:35:29.370333Z
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 2dff5418-ebe0-492d-be11-b3819b4cd23c · inbound
Decision Flow Policy Optimization Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64bb61ce-4e78-461e-abf5-ab87c39ae074 · inbound
D2 Actor Critic: Diffusion Actor Meets Distributional Critic Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
Reference 10
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.
Observation 0223a517-9a63-446c-864c-802982f50c09 · inbound
Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
Reference 68
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.
Observation aeb489c3-3cea-402c-9aba-b3e92b38eb51 · inbound
ReBRAC-v2: The Return of the King Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
Reference 78
Source-reported events for the cited work
Unavailable: canonical work link unavailable.