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Paper Citation Record · LEDGER

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:44.728299Z

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 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.

source=arxiv_source observed=2026-08-07T04:19:44.728299Z digest=sha256:cc84652bd2a421ca9d96e0baeb1e43c856ecf606161a13a32a6638ab70a24ea1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T18:20:28.676399Z digest=sha256:03e9375f26acfab3d8b42025c74d392bd168ac41609101e3f7ff33f8c645c530