Paper Citation Record · LEDGER

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.06331.

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

pith.paper-citation-record.v1
2505.06331 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:51:09.410697Z

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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

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation ee1fbd33-1928-4674-924c-d0f518725ad4 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.600296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 391af8a4-f24d-437e-bb7f-043cf34d7368 · outbound

This paper cites Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.584531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3bc283a-8e79-4d99-b51e-d96cb0778c71 · outbound

This paper cites Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.566857Z

Source-reported events for the cited work

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Observation bd63a12e-cbab-4d1d-a682-80e6fae4498d · outbound

This paper cites Artificial intelligence velocimetry and microaneurysm -on-a-chip for three-dimensional analysis of blood flow in physiology and disease,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Artificial intelligence velocimetry and microaneurysm -on-a-chip for three-dimensional analysis of blood flow in physiology and disease,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.549720Z

Source-reported events for the cited work

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Observation 7b49b01f-ec30-4441-8600-eb33f7a98aa9 · outbound

This paper cites Three -dimensional spatiotemporal wind field reconstruction based on physics-informed deep learning,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Three -dimensional spatiotemporal wind field reconstruction based on physics-informed deep learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.533168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3c7c2ab1-c0cf-454e-8a77-2f4f6cd5ea37 · outbound

This paper cites Physics -informed neural networks (PINNs) for fluid mechanics: A review,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Physics -informed neural networks (PINNs) for fluid mechanics: A review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.514678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66a13b10-6fd6-4288-990f-b3d24a1d0980 · outbound

This paper cites Physics -informed neural networks for heat transfer problems,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Physics -informed neural networks for heat transfer problems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.399507Z

Source-reported events for the cited work

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Observation 2d6689d9-291a-4b3b-bc77-46749da8dfac · outbound

This paper cites Physics -informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Physics -informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.195371Z

Source-reported events for the cited work

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Observation 89df46f4-09a8-4637-a65f-da7c670423da · outbound

This paper cites Physics-Informed neural network solver for numerical analysis in geoengineering,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Physics-Informed neural network solver for numerical analysis in geoengineering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.131291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2681db29-c77e-48b5-9a9d-c2e70f988d16 · outbound

This paper cites The application of physics - informed machine learning in multiphysics modeling in chemical engineering,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks The application of physics - informed machine learning in multiphysics modeling in chemical engineering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.107664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30a8cb42-23f2-4848-aa05-df0c5d31ba4b · outbound

This paper cites The application of improved physics -informed neural network (IPINN) method in finance,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks The application of improved physics -informed neural network (IPINN) method in finance,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.089119Z

Source-reported events for the cited work

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Observation c3253d76-fab2-4487-b930-07424c3c9b72 · outbound

This paper cites Physics-informed machine learning: case studies for weather and climate modelling,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Physics-informed machine learning: case studies for weather and climate modelling,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.066959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54606177-6db3-4396-8b5e-22d5c0ef9e1d · outbound

This paper cites Learning Specialized Activation Functions for Physics-Informed Neural Networks,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Learning Specialized Activation Functions for Physics-Informed Neural Networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.048082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3af6005e-2545-4fd0-b989-a337469966b0 · outbound

This paper cites Simple yet effective adaptive activation functions for physics - informed neural networks,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Simple yet effective adaptive activation functions for physics - informed neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:10.020423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2925f43d-ad14-4fda-95c3-1e293195d103 · outbound

This paper cites PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

Reference 15

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Source-reported events for the cited work

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Observation e7937dde-d44f-453b-bd04-3b55af116160 · outbound

This paper cites HyResPINNs: Adaptive Hybrid Residual Networks for Learning Optimal Combinations of Neural and RBF Components for Physics -Informed Modeling,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks HyResPINNs: Adaptive Hybrid Residual Networks for Learning Optimal Combinations of Neural and RBF Components for Physics -Informed Modeling,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-15T22:51:09.665710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0e62a87-8390-4df0-8f50-93828a02b07a · outbound

This paper cites Element-wise Multiplication Based Deeper Physics-Informed Neural Networks.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Element-wise Multiplication Based Deeper Physics-Informed Neural Networks

Reference 17

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Observation 0692161a-d229-41fa-9d69-ceb5a6a232a5 · outbound

This paper cites Implicit neural representations with periodic activation functions,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Implicit neural representations with periodic activation functions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.995677Z

Source-reported events for the cited work

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Observation 6ec59ba7-82c2-4d5d-b867-1cf41b2fe7b4 · outbound

This paper cites Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.937043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a3b57e3-9048-4b2c-969f-04d2c2955396 · outbound

This paper cites Multi -objective loss balancing for physics -informed deep learning,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Multi -objective loss balancing for physics -informed deep learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.908606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10c9e22c-fc52-438f-8ec1-d5025bac18fc · outbound

This paper cites ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:51:09.345143Z

Source-reported events for the cited work

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Observation d4594020-7864-4b95-b594-b8193cda9b92 · outbound

This paper cites Gradient Alignment in Physics - informed Neural Networks: A Second -Order Optimization Perspective,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Gradient Alignment in Physics - informed Neural Networks: A Second -Order Optimization Perspective,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T22:51:09.350028Z

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Observation 89144d60-fd5b-44d9-856e-80563bb51055 · outbound

This paper cites Understanding and mitigating gradient flow pathologies in physics -informed neural networks,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Understanding and mitigating gradient flow pathologies in physics -informed neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.889591Z

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Observation 093cac48-55c3-42df-8d5d-0ba1c243fe14 · outbound

This paper cites PhyGeoNet: Physics -informed geometry-adaptive convolutional neural networks for solving parameterized steady -state PDEs on irregular domain,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks PhyGeoNet: Physics -informed geometry-adaptive convolutional neural networks for solving parameterized steady -state PDEs on irregular domain,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.871316Z

Source-reported events for the cited work

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Observation dfaef4e3-6fe6-4c48-bde0-d4f24e38a687 · outbound

This paper cites A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.852091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85ed6447-8157-4079-8786-1cb965c2dcff · outbound

This paper cites f -PICNN: a physics -informed convolutional neural network for partial differential equations with space -time domain,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks f -PICNN: a physics -informed convolutional neural network for partial differential equations with space -time domain,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.834315Z

Source-reported events for the cited work

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Observation c123f72e-12d6-4bb3-952e-2b55455cb341 · outbound

This paper cites Batch normalization: accelerating deep network training by reducing internal covariate shift,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Batch normalization: accelerating deep network training by reducing internal covariate shift,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.816753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 979d010d-a053-421c-9e36-2bad4939adce · outbound

This paper cites Activation Functions: Comparison of trends in Practice and Research for Deep Learning.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Activation Functions: Comparison of trends in Practice and Research for Deep Learning

Reference 28

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Observation 1c3741a0-8a02-472f-bf22-7aceff9f187c · outbound

This paper cites Mathematical analysis and performance evaluation of the gelu activation function in deep learning,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Mathematical analysis and performance evaluation of the gelu activation function in deep learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.797639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0978ae46-7671-4738-8830-48c106b8bf90 · outbound

This paper cites Activation functions in deep learning: A comprehensive survey and benchmark,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Activation functions in deep learning: A comprehensive survey and benchmark,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.778571Z

Source-reported events for the cited work

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Observation daabaecb-fe19-42e1-a73d-d5e83bfcf91c · outbound

This paper cites Layer Normalization.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Layer Normalization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T22:51:09.391955Z

Source-reported events for the cited work

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Observation 6538e72d-493c-4ad0-be9d-a9d6e0b18242 · outbound

This paper cites Weight normalization: A simple reparameterization to accelerate training of deep neural networks,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Weight normalization: A simple reparameterization to accelerate training of deep neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.760266Z

Source-reported events for the cited work

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Observation bc742fc1-cebb-458c-8fb4-cb469c7447bf · outbound

This paper cites Locally adaptive activation functions with slope recovery for deep and physics -informed neural networks,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Locally adaptive activation functions with slope recovery for deep and physics -informed neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.742216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2dfcf29-fc7b-46f9-9c40-e2a9b2380c7c · outbound

This paper cites Physics -informed neural networks for mesh deformation with exact boundary enforcement,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Physics -informed neural networks for mesh deformation with exact boundary enforcement,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.723356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55b22ebd-94ac-49b0-bb72-87eaf7cfa6cb · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation,.

Mask-PINNs: Mitigating Internal Covariate Shift in Physics-Informed Neural Networks Deepsdf: Learning continuous signed distance functions for shape representation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:09.703934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

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