Pith. sign in

Paper Citation Record · LEDGER

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

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:48:48.300518Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T19:58:00.914732Z digest=sha256:5a416b8a808036cd5f37b424720f3d2683af17f11b983e712b2b4e0b1aea8c4b

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T22:51:11.411751Z digest=sha256:133d073752413ce5557af2189d93d72ec40314cc2e54f1339061b9fa6f9f5a95

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T06:43:07.836039Z digest=sha256:da551dcd3df62f822fc30280c6d07a32b41f636720cd81466e18d18d93af3a84

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T00:34:38.762485Z digest=sha256:40ac970d7e8e6b6549ca88e5c470f5ae03290f579664da21b3a6cf006c1a21a9

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-08T16:43:13.881749Z digest=sha256:9554cea429c50f6ae08e563bfcad97f75d8dd49bb52cb7b5ffb2f6b9cdb3fcc1

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T16:59:13.748378Z digest=sha256:5c7e187fc094d499038e3a41662b5b864076454c31909ca66ac911d9b39e2d2a

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T18:57:56.373765Z digest=sha256:dabc617d55664cd6d76b03debb0d637416e02a2e1746516f53dbc465e15f0871

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T03:16:49.337228Z digest=sha256:02a753eb906dc4e0ed1ab61a3564681329336da82608220fdc0049a1575db603

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.

source=arxiv_source observed=2026-08-02T02:48:48.300518Z digest=sha256:6025277b565e251a71c4545938dec6e581b85b8fffcb255581e6f2010ed022a7

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.

source=pdf_text observed=2026-08-01T22:28:07.344064Z digest=sha256:2bc821978291f9b4722ebc5a0fcd3f9b12482a8c796253dfe2a2c9830cda89b0

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.

source=pdf_text observed=2026-08-01T06:09:01.431933Z digest=sha256:1d28817d977c3a1f02e9c9f6fd2b2f1f34ed3b3c647d7f9d677d75b20296cacd

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.

source=arxiv_source observed=2026-08-01T14:43:11.506344Z digest=sha256:7361af915aa14f4c72b6baf3aeb9de99412765e29e85711b54b21e5184ab0f51