Pith. sign in

Paper Citation Record · LEDGER

Thermodynamics-informed graph neural networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.01874.

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

pith.paper-citation-record.v1
2203.01874 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:12:37.009453Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 a80153cd-4dfb-478e-b9cf-e5917f0b7c0e · inbound

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs cites this paper.

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs Thermodynamics-informed graph neural networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T10:12:37.009453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:12:37.009453Z digest=sha256:fe2c895fe5d0ac430d00833ee3c4b694e8e73b8c1e031849b22c0be611f0febc

Observation 2a4ccdec-b6f8-4b34-9509-8f95f3d02ea0 · inbound

A Graph Neural Network approach to zero-shot Digital Twins cites this paper.

A Graph Neural Network approach to zero-shot Digital Twins Thermodynamics-informed graph neural networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T07:36:01.331255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:36:01.331255Z digest=sha256:f446e79a3a63c9f633f809c4958a4d2b36cf6ce0cbc6fe2ff6fcec349939bbe3