Paper Citation Record · LEDGER

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2509.18785.

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

pith.paper-citation-record.v1
2509.18785 v3

Coverage vector

measured 47 of 47 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T15:47:58.940607Z

measured 47 of 47 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

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Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation a6a04b45-fddc-494b-a994-3dcaefd85547 · outbound

This paper cites Wilczek, Phys.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Wilczek, Phys

Reference 1

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Observation 24a1b70a-ed1b-4c74-9328-05d85952c5da · outbound

This paper cites QCD Perturbation Theory: It's not what you were taught.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields QCD Perturbation Theory: It's not what you were taught

Reference 2

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Observation 6ad605f3-1fb1-4c6f-9f68-bdd6d3d26648 · outbound

This paper cites The many faces of the Bohr atom.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields The many faces of the Bohr atom

Reference 3

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Observation 6e51642c-dfa7-42d8-89c1-e40ed2216a54 · outbound

This paper cites Lattice QCD ensembles with four flavors of highly improved staggered quarks.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Lattice QCD ensembles with four flavors of highly improved staggered quarks

Reference 4

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Observation 4dba70af-7a91-4966-b804-fd48094b2e97 · outbound

This paper cites The order of the quantum chromodynamics transition predicted by the standard model of particle physics.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields The order of the quantum chromodynamics transition predicted by the standard model of particle physics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T15:47:47.458374Z

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Observation 1be51ae9-4787-419c-b155-49e37d31fe15 · outbound

This paper cites $B$- and $D$-meson leptonic decay constants from four-flavor lattice QCD.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields $B$- and $D$-meson leptonic decay constants from four-flavor lattice QCD

Reference 6

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Observation 658a150a-42e4-4327-97d4-bcd714aa6fda · outbound

This paper cites The free field: zero divisors, Atiyah property and realizations via unbounded operators.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields The free field: zero divisors, Atiyah property and realizations via unbounded operators

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T15:47:47.535894Z

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Observation ee363212-b8bc-4426-b368-737ae10e447a · outbound

This paper cites Flavor-Symmetry Restoration and Symanzik Improvement for Staggered Quarks.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Flavor-Symmetry Restoration and Symanzik Improvement for Staggered Quarks

Reference 8

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Observation 642b03ae-687f-4878-a95d-39669631903f · outbound

This paper cites Finite-density lattice QCD and sign problem: current status and open problems.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Finite-density lattice QCD and sign problem: current status and open problems

Reference 9

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Observation 5dbdd4ba-3f1e-4da8-acee-06b82add6ac2 · outbound

This paper cites Nonparametric Edge Detection in Speckled Imagery.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Nonparametric Edge Detection in Speckled Imagery

Reference 10

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Observation 5a78379c-7245-46f9-b5ee-4503e8ec9500 · outbound

This paper cites Flow-based sampling for fermionic lattice field theories.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Flow-based sampling for fermionic lattice field theories

Reference 11

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Observation a0e8e127-6382-46a3-a7f3-7777466e7128 · outbound

This paper cites an unresolved cited work.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 12

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Observation 1ce879c6-8126-4c80-b4df-c83d91cda2cb · outbound

This paper cites LeCun, Y.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields LeCun, Y

Reference 13

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Observation 111d4e14-3335-4d00-b61e-9153cb72b2c5 · outbound

This paper cites Schmidhuber, Neural Networks,61, 85–117 (2015).

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Schmidhuber, Neural Networks,61, 85–117 (2015)

Reference 14

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Observation 4fe42fe3-04d4-49d2-ae34-1eadbcb06d04 · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 15

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Observation d0a72cd3-fe0f-4b05-8c0c-c64271a0f598 · outbound

This paper cites Balassa, ’On the solution of Euclidean path integrals with neural networks’ (2025), arXiv:2509.16953 [hep-ph].

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Balassa, ’On the solution of Euclidean path integrals with neural networks’ (2025), arXiv:2509.16953 [hep-ph]

Reference 16

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Observation 93293670-bea9-49a6-8740-fe5a54df02b4 · outbound

This paper cites Zinn-Justin, Quantum Field Theory and Critical Phenomena, Int.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Zinn-Justin, Quantum Field Theory and Critical Phenomena, Int

Reference 17

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Observation 824df3ef-eaba-428c-80fa-a2262e98016b · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 18

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Observation c4b29f59-31d7-4fdb-9d8b-4df573953e5d · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 19

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Observation 7a723eb8-0852-4991-baa4-1b16225dc921 · outbound

This paper cites Mosel, Path Integrals in Field Theory: An Introduction, Springer-Verlag, Berlin Heidelberg, Advanced Texts in Physics, (2004), ISBN: 978-3-540-21056-9.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Mosel, Path Integrals in Field Theory: An Introduction, Springer-Verlag, Berlin Heidelberg, Advanced Texts in Physics, (2004), ISBN: 978-3-540-21056-9

Reference 20

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Observation c28a661c-aaad-4002-80b3-c86dfedcd18d · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 21

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Observation 9f3375be-6c69-4abf-938c-e520806f81b8 · outbound

This paper cites Liao, S.-C.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Liao, S.-C

Reference 22

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Observation b9e8287a-e421-4bc2-bc68-6157543b70d9 · outbound

This paper cites Balassa, Prog.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Balassa, Prog

Reference 23

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Observation d0b68b00-c384-478a-9c5f-71d7f1bfe8ea · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 24

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Observation 80bff90a-ded3-4bfe-9a64-aa179919389d · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Schaefer and E

Reference 25

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 26

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 27

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Observation 459c6eb7-ad61-4c29-b6bb-4e2e7e89d924 · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Itzykson, J.-B

Reference 28

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This paper cites Srednicki, Quantum Field Theory, Cambridge University Press, 2007, ISBN: 978-0521864497.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Srednicki, Quantum Field Theory, Cambridge University Press, 2007, ISBN: 978-0521864497

Reference 29

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Observation c550a005-9fb6-4194-a51d-ae55b2092762 · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 30

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 31

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 32

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 33

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 34

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Observation de6f6366-5f33-415c-98c8-40c8a32f6b78 · outbound

This paper cites Goldenfeld, Lectures on Phase Transitions and the Renormalization Group, CRC Press (1992).

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Goldenfeld, Lectures on Phase Transitions and the Renormalization Group, CRC Press (1992)

Reference 35

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Akiyama, Y

Reference 36

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Inagaki, S

Reference 37

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Alexandre, Phys

Reference 38

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

Reference 39

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Tabata, I

Reference 40

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Unresolved cited work

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Observation f2105b5c-d90a-42fc-bb28-dbcd32581786 · outbound

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Cosmological Phase Transitions

Reference 42

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Observation 51d0f726-081c-4ef7-805f-f791fc654af2 · outbound

This paper cites Ryder, Quantum Field Theory, Cambridge University Press, Cambridge, 1985.

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Ryder, Quantum Field Theory, Cambridge University Press, Cambridge, 1985

Reference 43

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Loinaz, R

Reference 44

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Ardekani, A

Reference 45

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Binder, Z

Reference 46

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Neural network expansion of Euclidean path integrals and its application to interacting scalar fields Milchev, D

Reference 47

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