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Paper Citation Record · LEDGER

Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models

As of 14 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.

pith.paper-citation-record.v1
2308.03960 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:46:11.875105Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e533766c-2411-40a3-b568-9bac76733b69 · inbound

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:46:11.875105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:46:11.875105Z digest=sha256:16db4107520e8df6601c660e45da2bab39adc78e13d310eae288fec4213bc5b7

Observation 089d8add-596b-4bf6-bf08-58f072b9209b · inbound

Diffusion Policies for Generative Modeling of Spacecraft Trajectories cites this paper.

Diffusion Policies for Generative Modeling of Spacecraft Trajectories Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:50.289462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:50.289462Z digest=sha256:4c2f4fa1553ace35a009054843b84eae628b7b9b4cc3e3d5e655a6a1f5ffa638

Observation e1d56f87-9b1b-4926-b6b9-5079f0e7a702 · inbound

Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:26:16.391657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T02:23:22.525448Z digest=sha256:9558c9b9a53fdad8d6cb9222103629b7ba2e43ce5a6521420f74d86010640fa4

Observation 0f023e4a-0159-4901-9965-85e76f7fbf13 · inbound

GLENS: Global Search via Learning from Solver Iterates with Diffusion Models cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T22:52:44.535880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T22:45:51.153034Z digest=sha256:c2f62d3f0a20c6b08dc1256cde9ecb23cc67fa69e540135de5573aa0b52ff06f