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Paper Citation Record · LEDGER

Numerical Solution of Mixed-Dimensional PDEs Using a Neural Preconditioner

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.08491.

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

pith.paper-citation-record.v1
2505.08491 v1

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:40:06.566254Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-02T00:16:10.520619Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 4c4dae05-fea4-4874-af7f-491fdba2d29a · inbound

Neural Preconditioning via Krylov Subspace Geometry cites this paper.

Neural Preconditioning via Krylov Subspace Geometry Numerical Solution of Mixed-Dimensional PDEs Using a Neural Preconditioner

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:40:06.566254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:40:06.566254Z digest=sha256:501fa06ae4c2a5d5e6b8edea6f2b4b3206489bfad8c0c8bbe817ba5f7a1e2f7f

Observation b9cd746d-32e9-45f8-96dd-899a4ae18415 · inbound

Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method cites this paper.

Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method Numerical Solution of Mixed-Dimensional PDEs Using a Neural Preconditioner

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T10:26:34.019418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:26:34.019418Z digest=sha256:221c4816faeda32de0a5672d1e24ebc736749cb90b44e5f09908788af63ced43

Observation 43a3f5c6-e2b1-4be9-9e3f-4875957fbaf9 · inbound

Neural operator preconditioning from mixed dataset for the Helmholtz equations: Application to transcranial ultrasound cites this paper.

Neural operator preconditioning from mixed dataset for the Helmholtz equations: Application to transcranial ultrasound Numerical Solution of Mixed-Dimensional PDEs Using a Neural Preconditioner

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-01T19:43:19.665544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-01T19:41:31.827586Z digest=sha256:72053085a4feaedebc961ef895016a804850c71b7cf37817e7b41cd3c8ae1730