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Paper Citation Record · LEDGER

Machine Learning for Partial Differential Equations

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.17078.

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

pith.paper-citation-record.v1
2303.17078 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:22:32.869847Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:56:16.448271Z

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 f909bddc-f428-4cbd-8e8e-909f739b33c9 · inbound

Data-driven discovery of the equations of turbulent convection cites this paper.

Data-driven discovery of the equations of turbulent convection Machine Learning for Partial Differential Equations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:32.869847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:22:32.869847Z digest=sha256:d554e60fa9873f3ad864a4f994f769b54e4ff3ca1b92a903914b8614b3245857

Observation d81baf7b-ae7a-4f1a-83c1-c6eca9f6190b · inbound

The Machine Learning Approach to Moment Closure Relations for Plasma: A Review cites this paper.

The Machine Learning Approach to Moment Closure Relations for Plasma: A Review Machine Learning for Partial Differential Equations

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:59:04.160040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T04:55:13.152157Z digest=sha256:337be4651f964bc8642d5fba418484f65222c21ac9fe2458b00f391c028aa0d1

Observation fb382bce-0a9d-46a9-bfc0-bbbecc4ccac3 · inbound

The Machine Learning Approach to Moment Closure Relations for Plasma: A Review cites this paper.

The Machine Learning Approach to Moment Closure Relations for Plasma: A Review Machine Learning for Partial Differential Equations

Reference 205

Resolution
unresolved
no resolver link, observed 2026-08-03T19:53:34.643726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:53:34.643726Z digest=sha256:1d20279fdeb485e29ac934500cea5b0665df70c6f2afd1ae08c1619784d6adff

Observation 11c95ea8-ef9c-4420-9194-7695e2c408a8 · inbound

Stable Long-Horizon PDE Forecasting via Latent Structured Spectral Propagators cites this paper.

Stable Long-Horizon PDE Forecasting via Latent Structured Spectral Propagators Machine Learning for Partial Differential Equations

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:26:19.778393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T03:23:42.788576Z digest=sha256:93d2598ac0f41fca4d11220085debf5ca55de6aa510fe8a01ab8e007c732d5a5

Observation 6b35eb89-1230-4e4a-8f19-b319daa3a218 · inbound

Stability and Discretization Error of State Space Model Neural Operators cites this paper.

Stability and Discretization Error of State Space Model Neural Operators Machine Learning for Partial Differential Equations

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:03:24.818161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-20T14:58:34.478482Z digest=sha256:13f67abb39fc0879da4fab1f939ef83f70d9f1cac53a805133e909b49334f174

Observation 2bdba527-e3d2-4583-abfe-df6a2fbfbb71 · inbound

Paving the Way for Point Cloud Video Representation Learning Using A PDE Model cites this paper.

Paving the Way for Point Cloud Video Representation Learning Using A PDE Model Machine Learning for Partial Differential Equations

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:56:16.449882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T15:54:20.884536Z digest=sha256:a59d5a88955b8bf1e7946370ff1d105ba137a1e40fde2c6698b33eeb6233f015