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 4 inbound Pith citation observations for arXiv:2404.12940.
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 2026-08-09T12:06:48.407956Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T09:35:40.450916Z
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 0a613d84-1742-470d-a125-f82cd81f2b22 · inbound
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c1e6062-658b-4a37-b6c6-6e33ee397e6f · inbound
Equivariant Neural Diffusion for Molecule Generation Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5f4af29-daf8-436b-85ae-8318287a9f91 · inbound
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17205403-cfa7-4e4f-b477-01926f5c3585 · inbound
Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Reference 2
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.