Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:57:32.684589Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:57:32.684589Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
58 of 58 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation aa29ed19-bab1-41c8-b4ac-a8d2668fc2e1 · outbound
Reference 1
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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 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
Reference 13
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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 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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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
Reference 21
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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 23
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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 24
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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 Unresolved cited work
Reference 27
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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
Reference 29
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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
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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
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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 Exact Enforcement of Temporal Continuity in Sequential Physics-Informed Neural Networks
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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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Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition Unresolved cited work
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Reference 42
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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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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
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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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Reference 46
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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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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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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 Unresolved cited work
Reference 54
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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
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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
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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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