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Paper Citation Record · LEDGER

Physics-driven machine learning models coupling PyTorch and Firedrake

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.06871.

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

pith.paper-citation-record.v1
2303.06871 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:30:27.013534Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e49e044c-7fc9-4a3a-af1f-d1f94b7a682f · inbound

Fast automated adjoints for spectral PDE solvers cites this paper.

Fast automated adjoints for spectral PDE solvers Physics-driven machine learning models coupling PyTorch and Firedrake

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:32:19.332667Z

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.

source=pdf_text observed=2026-05-19T13:29:23.975612Z digest=sha256:3b6e1d61c2009f7cd19447fd551987e91f222eb3c05fe69875ed00e736793ad6

Observation 71549dbe-c1dc-4455-b9d6-f6bc619808db · inbound

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning cites this paper.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Physics-driven machine learning models coupling PyTorch and Firedrake

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:27.013534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:30:27.013534Z digest=sha256:335e2027ba9df0a9e6f9813ddb3738c2e908d59af016cfd20aa21ddfbe6fc4a6

Observation 67a7b3cb-3a40-4df0-9d31-b873824b6fa4 · inbound

JetSCI: A Hybrid JAX-PETSc Framework for Scalable Differentiable Simulation cites this paper.

JetSCI: A Hybrid JAX-PETSc Framework for Scalable Differentiable Simulation Physics-driven machine learning models coupling PyTorch and Firedrake

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T21:34:15.864617Z

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.

source=pdf_text observed=2026-05-08T12:44:55.975707Z digest=sha256:89ca45fee30159c056a7ab6f51f657730ce283ac9c9348a9bfedd6a354d25f13