Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.03960.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:46:11.875105Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation e533766c-2411-40a3-b568-9bac76733b69 · inbound
Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 089d8add-596b-4bf6-bf08-58f072b9209b · inbound
Diffusion Policies for Generative Modeling of Spacecraft Trajectories Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1d56f87-9b1b-4926-b6b9-5079f0e7a702 · inbound
Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0f023e4a-0159-4901-9965-85e76f7fbf13 · inbound
GLENS: Global Search via Learning from Solver Iterates with Diffusion Models Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.