Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.10700.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:34.892886Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:57:25.901467Z
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 b59b261b-3528-4132-90d9-c51b8f8f0880 · inbound
FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1dbd71a-4b92-46be-99c3-d0db40b902b8 · inbound
Offline Safe Reinforcement Learning Using Trajectory Classification Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb54beb3-bf5a-432c-b9e9-a0b55cce07f6 · inbound
From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7860f6e-447d-4ea8-b7b0-06377971c912 · inbound
Skill Expansion and Composition in Parameter Space Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 2012
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e1c080e-c9c8-4aea-8e86-77928ebe8a5e · inbound
Semi-gradient DICE for Offline Constrained Reinforcement Learning Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00f7a722-6e6e-497b-bc13-62728c8b8db3 · inbound
Constrained Diffusers for Safe Planning and Control Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e73a3f8a-57a8-4dd5-9eab-d581031347f3 · inbound
Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11a28bdb-dcf0-47f2-a01e-f4a1b9bcdefc · inbound
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 50e80453-9849-400c-aba0-7cc15bf0d0d9 · inbound
Advantage-Guided Diffusion for Model-Based Reinforcement Learning Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 06299068-307b-4922-8ebc-e9129365d488 · inbound
Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 48d4641c-f887-478f-991d-f088dbf92eda · inbound
Neuro-Symbolic Injection of LTLf Constraints in Autoregressive Reinforcement Learning Policies Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.