Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:19.420787Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:2608.04778.
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 2026-08-06T16:56:19.420787Z
One-hop event checks from named stored sources.
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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
94 of 94 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Unresolved cited work
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations de Avila Belbute-Peres, Y.-f
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Penwarden, S
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations 2005 , publisher=
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations 2014 , publisher=
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Computer Methods in Applied Mechanics and Engineering , volume=
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Computer Methods in Applied Mechanics and Engineering , volume=
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Nature communications , volume=
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Computer Methods in Applied Mechanics and Engineering , volume=
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Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Haitsiukevich, A
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