Paper Citation Record · LEDGER

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.12553.

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

pith.paper-citation-record.v1
2403.12553 v3

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:15:42.338532Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T18:21:27.018397Z

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 484f0a86-74ac-4fd6-b900-79fdb141c9b3 · inbound

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning cites this paper.

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T05:16:55.283016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6346b51-4a65-49ea-9417-20bd0ffd16e7 · inbound

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:44.728299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74c78520-b942-4ae9-ae8d-c4c24e3a6aa9 · inbound

Scale-Consistent Learning for Partial Differential Equations cites this paper.

Scale-Consistent Learning for Partial Differential Equations Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:42.338532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c6064a-b58e-4a59-addd-701fb7d91c41 · inbound

Tackling multiphysics problems via finite element-guided physics-informed operator learning cites this paper.

Tackling multiphysics problems via finite element-guided physics-informed operator learning Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:21:27.021825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.