Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.06481.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:38:41.321971Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T23:45:07.421615Z
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 6f4f1d9a-8b74-44be-86cb-c0f5909dd6de · inbound
FLAG Review 2024 Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Reference 175
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 01090884-7f5f-4bc1-86b5-537e30988203 · inbound
Machine-learning approaches to accelerating lattice simulations Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ad4db58-c1a7-46ba-8da7-22781ee2664e · inbound
HMC and gradient flow with machine-learned classically perfect fixed-point actions Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad41b40e-5761-496d-8c4e-76d2402bf201 · inbound
Symmetry-preserving neural networks in lattice field theories Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Reference 86
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f74010fa-c2a7-4b36-839c-d2afd3070281 · inbound
Machine learning for four-dimensional SU(3) lattice gauge theories Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 29705fc6-a8b7-40f4-8150-ac6437adf54d · inbound
Lattice fermion formulation via Physics-Informed Neural Networks: Ginsparg-Wilson relation and Overlap fermions Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 18a9957c-965e-4111-8621-3dae6fe31ca9 · inbound
Lattice fermion formulation via Physics-Informed Neural Networks: Ginsparg-Wilson relation and Overlap fermions Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 423fdc21-c5f4-4cff-8ec0-94b76b2703a5 · inbound
Lattice fermion formulation via Physics-Informed Neural Networks: Ginsparg-Wilson relation and Overlap fermions Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.