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 7 inbound Pith citation observations for arXiv:2306.04542.
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 2026-08-07T15:03:36.217850Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:29:02.125102Z
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 ff16a6bd-03ce-4f03-aa78-5b30b366f4a6 · inbound
$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion On the Design Fundamentals of Diffusion Models: A Survey
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 210275e8-60e1-4a53-9a6a-6c3256369d8c · inbound
REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing On the Design Fundamentals of Diffusion Models: A Survey
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e0de972-0b51-484d-ab9d-ef9a6b8bbbb4 · inbound
Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective On the Design Fundamentals of Diffusion Models: A Survey
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fd6ec95-4e6e-4659-8e81-645ef82dc8e9 · inbound
Variational autoencoder for generating realistic $N$-body simulations for dark matter halos On the Design Fundamentals of Diffusion Models: A Survey
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4039f353-2c57-40bc-8c3d-68a11e750825 · inbound
A Diffusion-based Generative Machine Learning Paradigm for Dynamic Contingency Screening On the Design Fundamentals of Diffusion Models: A Survey
Reference 31
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 f4087326-60f7-422d-b8dc-039b4539c5bb · inbound
Quality-Preserving Imperceptible Adversarial Attack on Skeleton-based Human Action Recognition On the Design Fundamentals of Diffusion Models: A Survey
Reference 42
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 62886048-6f0f-4d12-95db-409cee6c16e3 · inbound
Multiscale reconstruction of protein conformations from cryo-EM images On the Design Fundamentals of Diffusion Models: A Survey
Reference 80
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.