Paper Citation Record · LEDGER

Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.15283.

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

pith.paper-citation-record.v1
2311.15283 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:19:19.702325Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T17:45:05.994876Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 0d413ed3-36ea-4b5f-9819-422c9f830d27 · inbound

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators cites this paper.

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:36:52.751355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48fcad46-dde1-43cd-a48c-47e77e829dd8 · inbound

ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks cites this paper.

ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-09T17:45:06.000419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 452f5a67-378a-4914-9cd6-d381f6421772 · inbound

Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients cites this paper.

Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:19:19.702325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc33af0-02aa-4afb-91c6-6a9d64874878 · inbound

A deep shotgun method for solving high-dimensional parabolic partial differential equations cites this paper.

A deep shotgun method for solving high-dimensional parabolic partial differential equations Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:20.573847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.