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Paper Citation Record · LEDGER

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition

As of 19 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2507.09591.

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

pith.paper-citation-record.v1
2507.09591 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:57:32.684589Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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  • verified fuzzy3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa29ed19-bab1-41c8-b4ac-a8d2668fc2e1 · outbound

This paper cites Buchanan, L.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Buchanan, L

Reference 1

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This paper cites an unresolved cited work.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 2

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This paper cites an unresolved cited work.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 3

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 4

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Observation 5a017b20-f8a3-45e9-a4a9-90bb001c28c3 · outbound

This paper cites Jafarabadi, I.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Jafarabadi, I

Reference 5

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This paper cites an unresolved cited work.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 6

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Observation a1e189a6-c626-4bbe-a409-b7d90eeeb208 · outbound

This paper cites Lopes, D.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Lopes, D

Reference 7

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Observation 0e0bbfc4-de45-4962-94bf-e20234e92323 · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 8

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Observation d4bf56b5-7c3f-4321-95ee-39ccea169ceb · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 9

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Observation ae4ea46d-f0b6-4e10-9a87-99bf17e27ac9 · outbound

This paper cites Dahaghin, M.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Dahaghin, M

Reference 10

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Observation aae1e579-aeb5-43b6-8ea3-769f850e9c5d · outbound

This paper cites Ghafoori, H.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Ghafoori, H

Reference 11

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Observation 686257e4-f3b1-4edd-98fa-b3361513659c · outbound

This paper cites Laghi, M.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Laghi, M

Reference 12

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Observation 8cf40c2c-4e8b-434c-ade7-a839ab63a9dc · outbound

This paper cites an unresolved cited work.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 13

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This paper cites an unresolved cited work.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 14

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Observation b99ac3ee-bdd2-4e52-ad5c-8e045e8aa54b · outbound

This paper cites Snijder, L.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Snijder, L

Reference 15

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Observation 6b9d6009-2809-4c53-a7b1-ba2c426dd48c · outbound

This paper cites Gardner, P.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Gardner, P

Reference 16

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Observation bf6542bd-d2f6-47df-ad25-e4fa5432ec01 · outbound

This paper cites Huang, L.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Huang, L

Reference 17

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Observation 1eb5a977-754e-43a4-9d1b-85620bdc213f · outbound

This paper cites Huang, Y.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Huang, Y

Reference 18

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This paper cites Gardner, Metal additive manufacturing in structural engineering–review, advances, opportunities and outlook, Structures 47 (2023) 2178–2193.doi:10.1016/j.istruc.2022.12.039.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Gardner, Metal additive manufacturing in structural engineering–review, advances, opportunities and outlook, Structures 47 (2023) 2178–2193.doi:10.1016/j.istruc.2022.12.039

Reference 19

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Observation 7e305424-bd8c-4e5f-844e-48451d0a9eaf · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 20

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

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This paper cites Mukherjee, H.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Mukherjee, H

Reference 22

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

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Observation 7ade6442-1fb6-46c0-b284-073af64501b8 · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 25

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Hosseini, P

Reference 26

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Uhrich, N

Reference 30

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Sampaio, J

Reference 31

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Goldak, A

Reference 32

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This paper cites An Expert's Guide to Training Physics-informed Neural Networks.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition An Expert's Guide to Training Physics-informed Neural Networks

Reference 33

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Gaussian Error Linear Units (GELUs)

Reference 34

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 35

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Automatic Differentiation of Algorithms for Machine Learning

Reference 36

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Adam: A Method for Stochastic Optimization

Reference 37

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 38

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Observation 4eb9238f-b873-41ec-a4f9-ead57b3518a0 · outbound

This paper cites Exact Enforcement of Temporal Continuity in Sequential Physics-Informed Neural Networks.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Exact Enforcement of Temporal Continuity in Sequential Physics-Informed Neural Networks

Reference 39

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Observation 004ed545-b7bb-4967-976b-d4e42da6bde2 · outbound

This paper cites Smith, ABAQUS/Standard User’s Manual, Version 6.9, Dassault Systèmes Simulia Corp, United States, 2009.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Smith, ABAQUS/Standard User’s Manual, Version 6.9, Dassault Systèmes Simulia Corp, United States, 2009

Reference 40

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Observation afa47f23-55d8-4557-97fd-c8b84c936460 · outbound

This paper cites an unresolved cited work.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 41

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Observation 83c94ce6-9e43-4738-98b3-8911abbdb3a6 · outbound

This paper cites Liang, Q.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Liang, Q

Reference 42

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Observation 98fe69be-8bfb-4a24-8bd2-adcaa91a99bc · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 43

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Observation 97d4da52-d550-43c2-bb4c-fbf66af5aaf4 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 44

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Observation de8a409a-53a8-4697-b0e1-7b9a88270614 · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 45

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Observation aaee6594-c68c-4f73-a9a3-70e9598b905d · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 46

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Observation 12fbf2f9-f213-4839-8294-635e852c07ac · outbound

This paper cites Parameterized Physics-informed Neural Networks for Parameterized PDEs.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Parameterized Physics-informed Neural Networks for Parameterized PDEs

Reference 47

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Observation 5c35fe65-45af-40a0-8403-634811df6911 · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 48

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Observation 7fcc926a-276d-4278-b51e-71d69b809c64 · outbound

This paper cites Niederreiter, Low-discrepancy and low-dispersion sequences, Journal of Number Theory 30 (1) (1988) 51– 70.doi:10.1016/0022-314X(88)90025-X.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Niederreiter, Low-discrepancy and low-dispersion sequences, Journal of Number Theory 30 (1) (1988) 51– 70.doi:10.1016/0022-314X(88)90025-X

Reference 49

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Observation 25759e94-dac0-47b6-ae5e-f176ff4478d4 · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 50

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 51

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Observation a6216465-3ddf-4d2a-a851-ba4bf8c429ae · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 52

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Observation 91b34f0c-7e4f-49f5-b6d2-8c70b92d36aa · outbound

This paper cites Crombecq, E.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Crombecq, E

Reference 53

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Observation 10d27179-2a7b-486b-8360-3281312dbf12 · outbound

This paper cites an unresolved cited work.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 54

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Observation b6de6bbe-fdfb-4434-9922-fea2dafaa3e7 · outbound

This paper cites Random Weight Factorization Improves the Training of Continuous Neural Representations.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Random Weight Factorization Improves the Training of Continuous Neural Representations

Reference 55

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Unavailable: canonical work link unavailable.

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Observation 65b59399-bfd1-4de3-9ae1-049c4f007271 · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 56

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Source-reported events for the cited work

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Observation 31ac20a6-cc19-48ff-a8a6-5901b74f071f · outbound

This paper cites Loshchilov, F.

Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Loshchilov, F

Reference 57

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Source-reported events for the cited work

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Observation f7c6f584-dcd7-4407-82e6-1858906fa6c6 · outbound

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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work

Reference 58

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Pith citing papers

No inbound Pith citation observations are available.