Paper Citation Record · LEDGER

Lie Point Symmetry Data Augmentation for Neural PDE Solvers

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2202.07643.

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

pith.paper-citation-record.v1
2202.07643 v2

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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:39:26.874151Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:33:58.510046Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 07bfb8e0-209f-43e8-bffd-4cc3e510f656 · inbound

Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates cites this paper.

Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates Lie Point Symmetry Data Augmentation for Neural PDE Solvers

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:12.066157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 241db744-e3d1-4d08-8f02-8feda96ea1ed · inbound

MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation cites this paper.

MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation Lie Point Symmetry Data Augmentation for Neural PDE Solvers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T13:56:27.019493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2434a36f-c673-45cd-84ac-7d616f961ed5 · inbound

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers cites this paper.

Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers Lie Point Symmetry Data Augmentation for Neural PDE Solvers

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T20:39:26.874151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21774fb-5786-42b0-ab05-73f9572a040d · inbound

Data-Efficient Neural Operator Training via Physics-Based Active Learning cites this paper.

Data-Efficient Neural Operator Training via Physics-Based Active Learning Lie Point Symmetry Data Augmentation for Neural PDE Solvers

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:33:58.511916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.