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Paper Citation Record · LEDGER

HMC and gradient flow with machine-learned classically perfect fixed-point actions

As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 4 inbound Pith citation observations for arXiv:2502.03315.

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

pith.paper-citation-record.v1
2502.03315 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:15:04.589477Z

measured 24 of 24 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:44:52.009361Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:45:07.453937Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f37af6b8-861b-452c-8e4f-1e1340fd8939 · outbound

This paper cites Critical slowing down and error analysis in lattice QCD simulations.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Critical slowing down and error analysis in lattice QCD simulations

Reference 1

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no resolver link, observed 2026-08-09T05:15:04.326296Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:15:04.326296Z digest=sha256:39a17e07359f7af1dc20fd743d4ae389991c66571b5c78881bf94fe1e7d4f4bf

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

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

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

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

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source=pdf_text observed=2026-08-09T05:15:04.331428Z digest=sha256:eca938fab45fe98cfcb44b31c6adc4a43bb2db15dba38a36e168ed53c96855f4

Observation b614e476-becf-4f26-8795-663a1410c43f · outbound

This paper cites Fixed point actions from convolutional neural networks.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Fixed point actions from convolutional neural networks

Reference 3

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no resolver link, observed 2026-08-09T05:15:04.336409Z

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source=pdf_text observed=2026-08-09T05:15:04.336409Z digest=sha256:345e10bfd0bacc6ebdca2d44dd63f9e3e1203cbb306b0f29c7d1b314a87a121f

Observation 84fa478b-9f9e-4742-aa2f-3fe6c00c4fc8 · outbound

This paper cites Perfect lattice action for asymptotically free theories.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Perfect lattice action for asymptotically free theories

Reference 4

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no resolver link, observed 2026-08-09T05:15:04.341577Z

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source=pdf_text observed=2026-08-09T05:15:04.341577Z digest=sha256:9fd1f1255f99d7029a927129c2c402c5b9b6313364f9d2bc01f74a608d18c6c0

Observation be6c3e58-8bd3-42a9-b529-d5d421878bfd · outbound

This paper cites Lattice gauge equivariant convolutional neural networks.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Lattice gauge equivariant convolutional neural networks

Reference 5

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source=pdf_text observed=2026-08-09T05:15:04.345462Z digest=sha256:e8ccd388d05eb959393cc5db2b14229749cc4a4f01f21648862f33c6ec534c72

Observation 04aa4285-8c05-4a92-964c-08b79cdbe764 · outbound

This paper cites New fixed point action for SU(3) lattice gauge theory.

HMC and gradient flow with machine-learned classically perfect fixed-point actions New fixed point action for SU(3) lattice gauge theory

Reference 6

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no resolver link, observed 2026-08-09T05:15:04.349473Z

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source=pdf_text observed=2026-08-09T05:15:04.349473Z digest=sha256:12f8545af7efb85f01f8f0b6b53dca85f19c273c1429d4fb00b4ef203239b93e

Observation f6a45604-ad1e-4f76-b825-2badd11751dc · outbound

This paper cites Fixed Point Gauge Actions with Fat Links: Scaling and Glueballs.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Fixed Point Gauge Actions with Fat Links: Scaling and Glueballs

Reference 7

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no resolver link, observed 2026-08-09T05:15:04.354080Z

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source=pdf_text observed=2026-08-09T05:15:04.354080Z digest=sha256:f1145ec3a9b5fd775fc2c3fb366115a44459e9c2aad3bc321ba80c04c21c565b

Observation 29767c4d-7d0f-47c3-9edd-c12340e8dd7d · outbound

This paper cites Duane, A.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Duane, A

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-09T05:15:04.827419Z

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=2026-08-09T05:15:04.357909Z digest=sha256:254d7148d54a3fedd555948f50ed2860e2a33ebc9622f996c4676e379c5b6cce

Observation b6cd6541-4a13-4aca-be9b-52c2ef822c68 · outbound

This paper cites an unresolved cited work.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-09T05:15:04.817865Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T05:15:04.361181Z digest=sha256:e2d2ccaadddf2df850cd308ecab0944ceb31dce484641ee16542c91980a76664

Observation 377272a5-3100-4e2c-99e9-901a3d754494 · outbound

This paper cites Testing and tuning symplectic integrators for Hybrid Monte Carlo algorithm in lattice QCD.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Testing and tuning symplectic integrators for Hybrid Monte Carlo algorithm in lattice QCD

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-09T05:15:04.728234Z

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=2026-08-09T05:15:04.364777Z digest=sha256:10ad8fb259e98e8813217cc13a220c7b4e11a0255e0b7cb8821e7280063de5b2

Observation 561835b8-51bd-4356-9cfb-3a0b66f5b973 · outbound

This paper cites an unresolved cited work.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T05:15:04.368187Z digest=sha256:f85fcec43b370a9300055596e526bcdfa31d20fcdf68d9f6a66dc0bf645f7f01

Observation edab3b1b-79ab-4de9-9042-c5eaeb3cab47 · outbound

This paper cites Properties and uses of the Wilson flow in lattice QCD.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Properties and uses of the Wilson flow in lattice QCD

Reference 12

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source=pdf_text observed=2026-08-09T05:15:04.371911Z digest=sha256:aee5594f2a52ddac43b2b4840809cbf719d39937eecdd14b40f9b9783f96d115

Observation d483fceb-ea28-4be1-bf4d-03001690a015 · outbound

This paper cites Perturbative analysis of the gradient flow in non-abelian gauge theories.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Perturbative analysis of the gradient flow in non-abelian gauge theories

Reference 13

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source=pdf_text observed=2026-08-09T05:15:04.375742Z digest=sha256:c8bd8ee192d63d11b34cfdbc45f511fc948f4af96a3a356d23b14a3fc9c57071

Observation 9d898d7c-15aa-4109-930a-b6174d950bf4 · outbound

This paper cites A new method for the beta function in the chiral symmetry broken phase.

HMC and gradient flow with machine-learned classically perfect fixed-point actions A new method for the beta function in the chiral symmetry broken phase

Reference 14

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source=pdf_text observed=2026-08-09T05:15:04.379224Z digest=sha256:4ba34d481c7510fcf8cab7ee9dd83e39c9d318f68ad889c38bdec9e8b8ea1a6b

Observation 015c26cb-3d64-49ac-b7d9-f9cf05fa8683 · outbound

This paper cites Continuous renormalization group $\beta$ function from lattice simulations.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Continuous renormalization group $\beta$ function from lattice simulations

Reference 15

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source=pdf_text observed=2026-08-09T05:15:04.413274Z digest=sha256:7da615b498ebd6ff829f65f015a05483879119a2290c97dcfed1430b04e15412

Observation 7804bbb6-76b2-4560-af6c-691d17351c52 · outbound

This paper cites The lattice gradient flow at tree-level and its improvement.

HMC and gradient flow with machine-learned classically perfect fixed-point actions The lattice gradient flow at tree-level and its improvement

Reference 16

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source=pdf_text observed=2026-08-09T05:15:04.454175Z digest=sha256:adc7cfaf908a99df2d4d8267c8e28b33af315346014d54213b013b71d5697659

Observation 0d59ddb7-78d2-4af0-b918-2d210b4fb638 · outbound

This paper cites The classically perfect fixed point action for SU(3) gauge theory.

HMC and gradient flow with machine-learned classically perfect fixed-point actions The classically perfect fixed point action for SU(3) gauge theory

Reference 17

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no resolver link, observed 2026-08-09T05:15:04.499939Z

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source=pdf_text observed=2026-08-09T05:15:04.499939Z digest=sha256:9fb358df860bb8283f0f495f0b1c4f39655f14d9da28fbc5edd42451a4378901

Observation d6cd331a-3bcb-4673-9d2a-189d350cb06a · outbound

This paper cites Lattice QCD without tuning, mixing and current renormalization.

HMC and gradient flow with machine-learned classically perfect fixed-point actions Lattice QCD without tuning, mixing and current renormalization

Reference 18

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verified exact
local_arxiv, observed 2026-08-09T05:15:04.649683Z

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=2026-08-09T05:15:04.551027Z digest=sha256:0a52e36c59e0c5ba4dc6f73e24d515aa24c2836e515aaf6773b575c39cec3946

Observation c35414fd-d69e-4253-8078-5425d703848c · outbound

This paper cites The index theorem in QCD with a finite cut-off.

HMC and gradient flow with machine-learned classically perfect fixed-point actions The index theorem in QCD with a finite cut-off

Reference 19

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no resolver link, observed 2026-08-09T05:15:04.585071Z

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source=pdf_text observed=2026-08-09T05:15:04.585071Z digest=sha256:7843b93970a0286c954bf1854a87d2d9b2d7184ee8fe5c1af80215df7eb1c15d

Observation b6db5f3a-6088-4141-a070-5759ef8056f4 · outbound

This paper cites High-precision scale setting in lattice QCD.

HMC and gradient flow with machine-learned classically perfect fixed-point actions High-precision scale setting in lattice QCD

Reference 20

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source=pdf_text observed=2026-08-09T05:15:04.589477Z digest=sha256:b76b7368f163a13c79db333c9cd92fa0baf62a2330704da14f5e929e2cd742dc

Pith citing papers

Observation 6dc4ac34-7986-47aa-8a02-b37915389cc1 · inbound

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

Machine learning for four-dimensional SU(3) lattice gauge theories HMC and gradient flow with machine-learned classically perfect fixed-point actions

Reference 46

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verified exact
arxiv_id, observed 2026-05-10T14:25:29.391496Z

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=sha256:16419ed3c6c74d68eaad54a95f9ce493e984a6df4d65f8f54b9ea7ea0b578678

Observation 36e6f489-9031-4af9-99e0-a994bc202c36 · 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 HMC and gradient flow with machine-learned classically perfect fixed-point actions

Reference 32

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verified exact
arxiv_id, observed 2026-05-11T22:01:11.342462Z

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=sha256:686f7a7d6f4a8897370b94dd4450128f198565597840c9b17efacf136ffc2d89

Observation 7994ef16-b8e2-4aa8-b972-3b172b48de83 · 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 HMC and gradient flow with machine-learned classically perfect fixed-point actions

Reference 33

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verified exact
arxiv_id, observed 2026-05-14T22:08:03.807337Z

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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:a8b0e335b64a8a7e4192cafa2730c291c593e92787f16131389676afa037806c

Observation 7d9aac62-e262-4e24-90d5-626a0b654012 · 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 HMC and gradient flow with machine-learned classically perfect fixed-point actions

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:45:07.455918Z

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=sha256:958d912e22d5545cf6266445171953d6cfb29b0210f5cf7435f56d0e7c42cad3