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Paper Citation Record · LEDGER

Lattice gauge equivariant convolutional neural networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2012.12901.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2012.12901 v2

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measured 0 of 0 reference resolution

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measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:56:00.982786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:15:43.164869Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 959c5dda-f07f-474a-a940-0147cdd583d4 · inbound

Diffusion models and stochastic quantisation in lattice field theory cites this paper.

Diffusion models and stochastic quantisation in lattice field theory Lattice gauge equivariant convolutional neural networks

Reference 34

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no resolver link, observed 2026-08-11T12:56:00.982786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e6a2d1a-0e8e-4867-bdd4-af1852a1791a · inbound

Extended framework for the hybrid Monte Carlo in lattice gauge theory cites this paper.

Extended framework for the hybrid Monte Carlo in lattice gauge theory Lattice gauge equivariant convolutional neural networks

Reference 22

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no resolver link, observed 2026-08-10T23:54:17.847657Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:54:17.847657Z digest=sha256:cb614c234d240a5a7711eed3b0018962a2dd8a2f41207fa423410740ff252ca1

Observation 0729e8ac-5b6d-4b0d-aefd-892511a0cd6f · inbound

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics cites this paper.

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Lattice gauge equivariant convolutional neural networks

Reference 32

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no resolver link, observed 2026-08-10T21:15:54.296471Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:54.296471Z digest=sha256:19911fa3235b6f6da0022f15583657059fccbae9a33276efededd834be3c2fb9

Observation 91da2964-8b63-4b0c-a02e-d5aa03f207cb · inbound

Progress in Normalizing Flows for 4d Gauge Theories cites this paper.

Progress in Normalizing Flows for 4d Gauge Theories Lattice gauge equivariant convolutional neural networks

Reference 9

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no resolver link, observed 2026-08-09T19:47:47.159384Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:47:47.159384Z digest=sha256:bba6af1ec76044fa731f5bd58dbff274d7e6c51f3034e4b81c7aa050b22ec8f4

Observation be6c3e58-8bd3-42a9-b529-d5d421878bfd · 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 Lattice gauge equivariant convolutional neural networks

Reference 5

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no resolver link, observed 2026-08-09T05:15:04.345462Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:15:04.345462Z digest=sha256:68f386123012c4068932b7d3282c490233dbc73528f768318a34fc9ec8b139fe

Observation 490dfe16-8ae4-4ef3-8c08-24cd9507ff99 · inbound

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

Symmetry-preserving neural networks in lattice field theories Lattice gauge equivariant convolutional neural networks

Reference 2

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no resolver link, observed 2026-08-07T00:58:28.900626Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:28.900626Z digest=sha256:2369e556b906aaad39bb4a9be443425aa0fc54e1e242cadbe643e56674cedb25

Observation ab0df074-9e6a-46ef-b181-d0e08c929d52 · inbound

Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory cites this paper.

Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory Lattice gauge equivariant convolutional neural networks

Reference 73

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verified exact
arxiv_id, observed 2026-05-18T03:22:21.311495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3746ecfd-ffd4-4cca-957b-409ad230b9cd · inbound

Wilson loops with neural networks cites this paper.

Wilson loops with neural networks Lattice gauge equivariant convolutional neural networks

Reference 23

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verified exact
arxiv_id, observed 2026-05-16T08:20:46.117260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T08:18:00.117402Z digest=sha256:5d08a4f24422e0f8f5e5f85034f3ed5afc1a3379bc64b8af1b7bc5ea8efb5698

Observation 9127061a-fcfb-4b68-b65a-6ff3d4c84d6a · inbound

Diffusion Models for SU(2) Lattice Gauge Theory in Two Dimensions cites this paper.

Diffusion Models for SU(2) Lattice Gauge Theory in Two Dimensions Lattice gauge equivariant convolutional neural networks

Reference 40

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no resolver link, observed 2026-08-03T04:31:43.167052Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:31:43.167052Z digest=sha256:d2a71ac722ddf3f2e630322f9e39082b6549c7fdb8153317503dbd0dc71a4473

Observation 7d646917-3473-4218-b670-6d8f91a98033 · inbound

Neural network interpolators for Wilson loops cites this paper.

Neural network interpolators for Wilson loops Lattice gauge equivariant convolutional neural networks

Reference 8

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verified exact
arxiv_id, observed 2026-05-11T06:31:01.065982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:36:44.901648Z digest=sha256:e7575ee2b675606cb5470e6fb8a9c889e3c5504df4918712cd93eba00794c069

Observation 75b2c00b-5934-414e-9cf8-88ce3a0046e9 · inbound

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

Machine learning for four-dimensional SU(3) lattice gauge theories Lattice gauge equivariant convolutional neural networks

Reference 50

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verified exact
arxiv_id, observed 2026-05-10T14:25:29.459804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e178e9a5-e2c8-4a23-bf2b-a45c77df685c · inbound

Diffusion model for SU(N) gauge theories cites this paper.

Diffusion model for SU(N) gauge theories Lattice gauge equivariant convolutional neural networks

Reference 23

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verified exact
arxiv_id, observed 2026-05-11T22:06:14.326356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d72b23d7-1281-427c-a35a-b65b9125b32a · inbound

First steps towards gauge-independent vortex identification through machine learning cites this paper.

First steps towards gauge-independent vortex identification through machine learning Lattice gauge equivariant convolutional neural networks

Reference 17

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verified exact
arxiv_id, observed 2026-06-29T09:03:16.251732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f6b2601c-861a-4526-9f03-ce6a5b159924 · inbound

Higher-order hopping-parameter expansion by human-AI collaboration cites this paper.

Higher-order hopping-parameter expansion by human-AI collaboration Lattice gauge equivariant convolutional neural networks

Reference 19

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verified exact
arxiv_id, observed 2026-07-01T12:15:43.166736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bd8169b0-01c5-4efb-81d1-c5c17f4ec653 · inbound

Higher-order hopping-parameter expansion by human-AI collaboration cites this paper.

Higher-order hopping-parameter expansion by human-AI collaboration Lattice gauge equivariant convolutional neural networks

Reference 20

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no resolver link, observed 2026-07-12T10:06:00.974503Z

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Unavailable: canonical work link unavailable.

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Observation 5a59ced5-d1a5-456f-a9f0-dd17321b670e · inbound

Higher-order hopping-parameter expansion by human-AI collaboration cites this paper.

Higher-order hopping-parameter expansion by human-AI collaboration Lattice gauge equivariant convolutional neural networks

Reference 20

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unresolved
no resolver link, observed 2026-07-13T07:13:31.457533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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