Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural incomplete factorization: learning preconditioners for the conjugate gradient method
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.16368.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T15:37:10.931148Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
Reference resolution
0 of 0 outbound references displayed
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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 2b4ee2d2-620f-41d9-932f-a0189c6fb505 · inbound
Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations cites this paper.
Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Neural incomplete factorization: learning preconditioners for the conjugate gradient method
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T15:37:10.931148Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98e6596f-6f8b-4333-b0a2-b47dde1ddc3f · inbound
Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory cites this paper.
Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory Neural incomplete factorization: learning preconditioners for the conjugate gradient method
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:57:19.156833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fb3c540-203e-430a-b8a2-aa16f36959c0 · inbound
RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search cites this paper.
RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search Neural incomplete factorization: learning preconditioners for the conjugate gradient method
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:53:17.582407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a0fd8b66-875d-4f71-ac99-88cbf92f24b8 · inbound
When can a neural operator replace a coarse solve? Architectural principles for two-level preconditioning cites this paper.
When can a neural operator replace a coarse solve? Architectural principles for two-level preconditioning Neural incomplete factorization: learning preconditioners for the conjugate gradient method
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T02:02:58.306081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8b15ce11-e22e-4a35-805a-e6542b6a1bce · inbound
Factored Sparse Approximate Inverse Preconditioning via Spectral Optimization cites this paper.
Factored Sparse Approximate Inverse Preconditioning via Spectral Optimization Neural incomplete factorization: learning preconditioners for the conjugate gradient method
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T11:09:47.154330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.