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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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source=pdf_text observed=2026-08-09T05:15:04.326296Z digest=sha256:692647d3fafa596420f1725a28372ef1af974641fe5fb2dd36ec93e26ef7beec

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=sha256:826204c8974f026eaa1b26aacfba32e6f887aaeffc301cb4825164a71e2ac2e4

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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source=pdf_text observed=2026-08-09T05:15:04.336409Z digest=sha256:81803976a756d98dd242665609576f5cba1de65badf8577390aaa9b534e16039

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=sha256:3239b40f6847af0268d3fa011a1ffb04d32ff2cee9a914e9d6fca5d6833cf1e9

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=sha256:10dc2aab91abd623f050cc8c5f66c5ab6704bc68196b1b9f6d779d3b660ead1f

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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source=pdf_text observed=2026-08-09T05:15:04.349473Z digest=sha256:7324c92ca300b110023f17d436137e75cf740b62aaed2e5e08489af3f79dda4f

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:d1dc36564cc27e01d0409deeb99b3034263c2501bc57a730789958b467d25cbb

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=sha256:2ef0a048f9497ad5e71277f861f398269a8e314b662031312960cfa6a58f7b29

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=sha256:78a0961c3459fdc62463e94bcabc145ac6b91558a23c105dcbaf61f94109fca9

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

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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=2026-08-09T05:15:04.364777Z digest=sha256:e8f4db52435d263af09ebb1f8ce3138b6d47714aa9822d7a59e2b11158474a19

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:e5069f0c0630fd730d2b5a3601fa25d575af60d96bae3e18d6ac2edd153f3439

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=sha256:8aab5329340639dea7d91714e06ad725033cb3cfb07e6b1cff3e27a878fa3b01

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=sha256:4389bb0ee2277e44d00120ce834e859f8dc462e93e6c3c3de7c55b427cb3e3e7

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=sha256:9383e53a179a962ec648441bc33ebcb76c106ee0a71c185af817686655ad662d

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=sha256:4be679ead903da40d8a567b3d8895efe4f5e297ccc2e162f58604cec2d202ab4

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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no resolver link, observed 2026-08-09T05:15:04.454175Z

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source=pdf_text observed=2026-08-09T05:15:04.454175Z digest=sha256:ae039731a5bc8cf5d982ac9b0e994bd710886eebacbb57924c6a914af790f3a4

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=sha256:05dd85466bd1a0f76f6a7fd2a31e118bc9692a86e974f06cfa146fbbf4dbee67

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:e6b44f9cca6af8520d8720209713d33037d8db6c4cdc1a2958f3733fd84f9937

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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source=pdf_text observed=2026-08-09T05:15:04.585071Z digest=sha256:e4f53b270581f9d5645d6c98603757964f978f9eb81b62ac065cbdd0b65191ed

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=sha256:46c0be06b637fd241ce7c7676911dd6f76c6f772127fde13162cf1a719331c08

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:ff3da4d55e7fc4b2feec742b7a4d2e03da9075bee34fa25b5a7434e79d9fc7f1

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:ca362194b22d301c6affe299ac87a486d5286b0cf5f1abb562ae45b0fb514168

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:f585ae4bff513f3e0d6411f2fbc7c86b6dd1ac1f486e413232e5b07607200e65

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

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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:ee0fdeed90fa67e9ecf60586e40d6c4de3acf547767e3f1e7aa77f62259ecf46