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Paper Citation Record · LEDGER

Learning Trivializing Gradient Flows for Lattice Gauge Theories

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2212.08469.

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

pith.paper-citation-record.v1
2212.08469 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:09:30.933628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T03:22:20.981770Z

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 5945c19c-1937-402e-8f23-7420cf5e701c · inbound

FLAG Review 2024 cites this paper.

FLAG Review 2024 Learning Trivializing Gradient Flows for Lattice Gauge Theories

Reference 173

Resolution
verified exact
arxiv_id, observed 2026-05-16T00:40:54.455511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T00:40:53.221422Z digest=sha256:9063bb187aa3b5b2006ef0e188e689785afa91709eb6dba9c53ffbc5dd3d5503

Observation 85016b52-37be-418f-b2c6-c85747ead111 · inbound

Normalizing flows for SU($N$) gauge theories employing singular value decomposition cites this paper.

Normalizing flows for SU($N$) gauge theories employing singular value decomposition Learning Trivializing Gradient Flows for Lattice Gauge Theories

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T00:09:30.933628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:09:30.933628Z digest=sha256:b6e38fd4fb311111076fc6143b447d10d1ad84c101b9d48616c737aec086293f

Observation 864d1f37-14e9-48df-b167-d38e1dc36829 · inbound

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

Machine-learning approaches to accelerating lattice simulations Learning Trivializing Gradient Flows for Lattice Gauge Theories

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:41.779670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:38:41.779670Z digest=sha256:765486e76bd122563972207e77486e9506684880d82ce906d9910a5c8916dc8d

Observation c5cfe325-8f3c-4048-a2a8-82b1384cb5d5 · 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 Learning Trivializing Gradient Flows for Lattice Gauge Theories

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:22:20.984603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T03:21:13.881357Z digest=sha256:5d957d0b495f1580fa1426df003e92c70c08de8eee4977c52342353f687f1768

Observation de10eac6-a1aa-4d6c-a205-2620fca1daa3 · inbound

Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality cites this paper.

Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality Learning Trivializing Gradient Flows for Lattice Gauge Theories

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:00.798762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:02:25.832563Z digest=sha256:517ecaf6a04999be3d177e21bad4ae58b02b349902b12e43b70f0a415f7f91d5

Observation 45c550cf-7192-4ab9-a261-aec252516a88 · inbound

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

Diffusion model for SU(N) gauge theories Learning Trivializing Gradient Flows for Lattice Gauge Theories

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:06:14.129103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:29:57.715264Z digest=sha256:7198092ceb705f6e0dc38e251ba6c0b70bb2e1534861dc27bd063c3a0399a525