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Paper Citation Record · LEDGER

Diffusion models for lattice gauge field simulations

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2410.19602.

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

pith.paper-citation-record.v1
2410.19602 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:40:46.963212Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:26:51.397437Z

Reference resolution

0 of 0 outbound references displayed

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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 cd17794c-ad89-4970-b76a-e7f223294945 · inbound

Improvement of Heatbath Algorithm in LFT using Generative models cites this paper.

Improvement of Heatbath Algorithm in LFT using Generative models Diffusion models for lattice gauge field simulations

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:44:08.261562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-24T07:43:13.163828Z digest=sha256:d05506830f6780cd46eb11e8b50a77ec10cd2eeb9d6c3f937c14d248b297a5e3

Observation d1425abc-c380-4b92-b73a-8c56d05aba9f · inbound

Scaling of Stochastic Normalizing Flows in $\mathrm{SU}(3)$ lattice gauge theory cites this paper.

Scaling of Stochastic Normalizing Flows in $\mathrm{SU}(3)$ lattice gauge theory Diffusion models for lattice gauge field simulations

Reference 69

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unresolved
no resolver link, observed 2026-08-12T05:40:46.963212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:40:46.963212Z digest=sha256:1a78ce47edd44237b0fbd5b3c9175186c328374b328da21dea66fd6dee42ab4a

Observation a3c0ce58-8d78-4156-85c7-22e706a4eb69 · inbound

Diffusion models learn distributions generated by complex Langevin dynamics cites this paper.

Diffusion models learn distributions generated by complex Langevin dynamics Diffusion models for lattice gauge field simulations

Reference 39

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unresolved
no resolver link, observed 2026-08-12T00:08:52.157223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:08:52.157223Z digest=sha256:2a4e86d10d65dc105853a30cfaaac492d2fa7256531170afb0faa9515dc3487d

Observation 055bfebb-a397-4a88-a859-bdd82279635a · inbound

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

Diffusion models and stochastic quantisation in lattice field theory Diffusion models for lattice gauge field simulations

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T12:56:00.814013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:56:00.814013Z digest=sha256:46eedd387fa6171a580dbbbe3234c43959f02cf6f72409f0706917e0812e167e

Observation 266d2207-e580-4cb0-86a5-65906c22ac33 · inbound

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

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Diffusion models for lattice gauge field simulations

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T21:15:54.417614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:54.417614Z digest=sha256:37b762ba9a851570bca331ce6ca45bb50efc8be1796e5e027ecee073a3a1a4d0

Observation ebfc961f-7311-4e5d-8ab3-fd3df6048430 · inbound

Exploring Generative Networks for Manifolds with Non-Trivial Topology cites this paper.

Exploring Generative Networks for Manifolds with Non-Trivial Topology Diffusion models for lattice gauge field simulations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T13:19:35.135688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:19:35.135688Z digest=sha256:57b0a4608fac26cca8485d860e926bdc681a6fd67a4fea8b849c97ad51d29be8

Observation 470c96a8-b2b9-4cb3-9c08-47c4c93dbb06 · 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 Diffusion models for lattice gauge field simulations

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:22:21.256660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T03:21:13.881357Z digest=sha256:df0492c9c8fd7dcc1c3e602b2c7ee47ac962baa5197bf92be0f9c3ada2315231

Observation 193ecf45-d284-4ee2-b6cc-ee9ce280b611 · 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 Diffusion models for lattice gauge field simulations

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T04:31:41.957307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:31:41.957307Z digest=sha256:efd21fa570092fa2c8ee0a6e696f9af5d53bf77d22dd441dfd2e7cee5f0ac480

Observation cae84b11-cefc-46ed-92ea-49135756fc7d · inbound

Solving Functional Renormalization Group Equations with Neural Networks cites this paper.

Solving Functional Renormalization Group Equations with Neural Networks Diffusion models for lattice gauge field simulations

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T17:48:26.777194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:48:26.777194Z digest=sha256:fe82e300038e4a34c887ad053f777d33b7d502b26473e3c72b354d227d8e32f5

Observation 6bc2034c-d760-40a6-adff-2db2dabaa720 · inbound

Diffusion Models for Sampling Near Criticality in Lattice Field Theories cites this paper.

Diffusion Models for Sampling Near Criticality in Lattice Field Theories Diffusion models for lattice gauge field simulations

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-07-10T06:26:51.399879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-10T06:20:49.175000Z digest=sha256:bb8d6db13f989ebc30c85014716de05b9c7b2c046592f7c645927d8cafa1ef9e