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Paper Citation Record · LEDGER

Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network

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.

pith.paper-citation-record.v1
2401.06481 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:38:41.321971Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:45:07.421615Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6f4f1d9a-8b74-44be-86cb-c0f5909dd6de · inbound

FLAG Review 2024 cites this paper.

FLAG Review 2024 Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-05-16T00:40:54.467149Z

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.

source=pdf_text observed=2026-05-16T00:40:53.221422Z digest=sha256:e3fcdafb7f9351c9c7da19f4be664e2ef09a54c63fc33f539abcadf519a8fc28

Observation 01090884-7f5f-4bc1-86b5-537e30988203 · inbound

Machine-learning approaches to accelerating lattice simulations cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:41.321971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:38:41.321971Z digest=sha256:7e8ca066b7587e7446d35ff8a3463870bed6058ddebd82aa9c271ceeabe5aaa9

Observation 1ad4db58-c1a7-46ba-8da7-22781ee2664e · inbound

HMC and gradient flow with machine-learned classically perfect fixed-point actions cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-09T05:15:04.331428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:15:04.331428Z digest=sha256:826204c8974f026eaa1b26aacfba32e6f887aaeffc301cb4825164a71e2ac2e4

Observation ad41b40e-5761-496d-8c4e-76d2402bf201 · inbound

Symmetry-preserving neural networks in lattice field theories cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:39.161490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:39.161490Z digest=sha256:bf0685c12e651e22896001e1cd51792a05ca7cd2fc132990b0e47cf4f0139c61

Observation f74010fa-c2a7-4b36-839c-d2afd3070281 · inbound

Machine learning for four-dimensional SU(3) lattice gauge theories cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:25:29.525438Z

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.

source=pdf_text observed=2026-05-10T14:24:26.571044Z digest=sha256:632122706d4e94e1e4ccaa6f2119e11b17b3714b2d82465136ff8e253ee12d41

Observation 29705fc6-a8b7-40f4-8150-ac6437adf54d · inbound

Lattice fermion formulation via Physics-Informed Neural Networks: Ginsparg-Wilson relation and Overlap fermions cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T22:01:11.604823Z

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.

source=pdf_text observed=2026-05-08T03:38:47.436408Z digest=sha256:e7a07bf2fd123e28eb365423b71b68b92f92c11a20c59e51a791f9b42155649a

Observation 18a9957c-965e-4111-8621-3dae6fe31ca9 · inbound

Lattice fermion formulation via Physics-Informed Neural Networks: Ginsparg-Wilson relation and Overlap fermions cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:08:03.955154Z

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.

source=pdf_text observed=2026-05-14T22:07:31.058363Z digest=sha256:d51f8b55e01fdac89cc86aa1ca9f68df0f69b62aa00d18f59ed9f0c5106f0c11

Observation 423fdc21-c5f4-4cff-8ec0-94b76b2703a5 · inbound

Lattice fermion formulation via Physics-Informed Neural Networks: Ginsparg-Wilson relation and Overlap fermions cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T23:45:07.428697Z

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.

source=pdf_text observed=2026-06-30T23:44:52.009361Z digest=sha256:4b2f5369e49e44ac3d00be47b78962fde6fdfb3606b4d3d3bc19646e526418e1