Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.16774.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:56.591734Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T19:58:54.540677Z
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 06ccb7f5-8b56-4e1c-9406-52ee6f103559 · inbound
How to Unfold Top Decays How to Understand Limitations of Generative Networks
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 166cd129-387a-477e-86c4-823a8889815c · inbound
A universal vision transformer for fast calorimeter simulations How to Understand Limitations of Generative Networks
Reference 67
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2aa6c89f-bbf3-491e-b463-9ef82f5b92dd · inbound
Local Conformal Predictions for Calibrated Surrogates How to Understand Limitations of Generative Networks
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 60bada0c-9840-4419-9bb4-e458420990e4 · inbound
Learning Standard Model structure from LHC data with Riemannian flow matching How to Understand Limitations of Generative Networks
Reference 73
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fbaa3ab-73ca-44e4-83f1-22f6473b0c5a · inbound
An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning How to Understand Limitations of Generative Networks
Reference 107
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fb64f63-1a7b-48f3-be12-65d7d3148e21 · inbound
Agentic Re-Casting using Agentic Re-Simulations How to Understand Limitations of Generative Networks
Reference 145
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2bb7065-c134-411d-8cc0-13237a4637bf · inbound
Neural Control Variates at LO and NLO How to Understand Limitations of Generative Networks
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dabea1b-64c4-4906-9587-1fd43658c02b · inbound
Generative Amplification with Surrogate Monte Carlo How to Understand Limitations of Generative Networks
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.