Paper Citation Record · LEDGER

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2207.02338.

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

pith.paper-citation-record.v1
2207.02338 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:17:08.010206Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.265361Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4982f69f-51ca-415b-830b-68948397f2c2 · inbound

Deep Learning Alternatives of the Kolmogorov Superposition Theorem cites this paper.

Deep Learning Alternatives of the Kolmogorov Superposition Theorem Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:58:23.545910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d179e30-5cc9-4b17-b673-f567ee80a872 · inbound

Integral regularization PINNs for evolution equations cites this paper.

Integral regularization PINNs for evolution equations Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:52:13.309068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 365eeb4a-f51b-4fd0-8ed0-049f65d02437 · inbound

Multiprecision computing for multistage fractional physics-informed neural networks cites this paper.

Multiprecision computing for multistage fractional physics-informed neural networks Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:17:08.010206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed520412-c971-4b05-bc06-717a332cc48e · inbound

Energy Dissipation Rate Guided Adaptive Sampling for Physics-Informed Neural Networks: Resolving Surface-Bulk Dynamics in Allen-Cahn Systems cites this paper.

Energy Dissipation Rate Guided Adaptive Sampling for Physics-Informed Neural Networks: Resolving Surface-Bulk Dynamics in Allen-Cahn Systems Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:55:54.701882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a087b42-613a-4900-ab3f-2903b9d38b0e · inbound

Solved in Unit Domain: JacobiNet for Differentiable Coordinate-Transformed PINNs cites this paper.

Solved in Unit Domain: JacobiNet for Differentiable Coordinate-Transformed PINNs Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T05:05:36.108940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e07b543-edbd-4f34-ba9a-86e2f9b1bc41 · inbound

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems cites this paper.

I-FENN with DeepONets: accelerating simulations in coupled multiphysics problems Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:01.397826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0600118-5bee-4d9c-9b19-5179938cc9a0 · inbound

RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations cites this paper.

RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T12:50:03.059365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b24e85-8a10-4533-a7ae-7df4188cc441 · inbound

When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions cites this paper.

When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:06:14.674624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 64ace811-ee5a-4577-bbcd-57ac88bac6ef · inbound

Physics-informed neural networks for form-finding of unilateral membrane structures cites this paper.

Physics-informed neural networks for form-finding of unilateral membrane structures Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:34:47.204916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 633b0328-9f8b-4899-bd54-41ddc611dcc2 · inbound

Differentiable Chemistry in PINNs for Solving Parameterized and Stiff Reaction Systems cites this paper.

Differentiable Chemistry in PINNs for Solving Parameterized and Stiff Reaction Systems Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:01:08.527641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6503d71c-067c-4802-b7a8-a171d1596f84 · inbound

Curriculum Learning of Physics-Informed Neural Networks based on Spatial Correlation cites this paper.

Curriculum Learning of Physics-Informed Neural Networks based on Spatial Correlation Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:02:40.586543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 14e6c8a6-7eca-4193-8d8f-6c431ac33d68 · inbound

A numerical study into neural network surrogate model performance for uncertainty propagation cites this paper.

A numerical study into neural network surrogate model performance for uncertainty propagation Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:02:43.635453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 48f9f35a-f267-4f55-b2e9-d86c6419f68f · inbound

On the training of physics-informed neural operators for solving parametric partial differential equations cites this paper.

On the training of physics-informed neural operators for solving parametric partial differential equations Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.266907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c363a8f-068d-404d-b51e-b0db72153ec5 · inbound

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks cites this paper.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:48.300518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5f42d1-7c9d-475f-ab1c-05d341d8500d · inbound

Trainable Spline Representations for Physics-Informed Learning cites this paper.

Trainable Spline Representations for Physics-Informed Learning Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T22:28:07.344064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1ab534-97b7-478d-9d79-127345d03b71 · inbound

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers cites this paper.

Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T06:09:01.431933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46a2e071-9c63-4f63-a2c3-9c5d925a9c78 · inbound

EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks cites this paper.

EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T14:43:11.506344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.