Paper Citation Record · LEDGER

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.01397.

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

pith.paper-citation-record.v1
2502.01397 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:37:10.978924Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy1
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b4ee2d2-620f-41d9-932f-a0189c6fb505 · outbound

This paper cites Neural incomplete factorization: learning preconditioners for the conjugate gradient method.

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 c56418ec-a2f3-4b4e-b909-f30fd39c075b · outbound

This paper cites Neural Acceleration of Incomplete Cholesky Preconditioners.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Neural Acceleration of Incomplete Cholesky Preconditioners

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:37:11.086590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ef46b87-60cb-4053-947f-9dffd7d46d14 · outbound

This paper cites Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.947630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8acb2072-dc1c-4230-a29a-f470ab90f65e · outbound

This paper cites A Survey on Oversmoothing in Graph Neural Networks.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations A Survey on Oversmoothing in Graph Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.951543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f88838f-aef2-4158-8d61-872470f50081 · outbound

This paper cites Understanding over-squashing and bottlenecks on graphs via curvature.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Understanding over-squashing and bottlenecks on graphs via curvature

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.955219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d69746-f366-4473-abdf-70b355a37ddd · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Relational inductive biases, deep learning, and graph networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.965446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75cc622f-7eb3-436f-8179-5e0daf3d4e7c · outbound

This paper cites DeeperGCN: All You Need to Train Deeper GCNs.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations DeeperGCN: All You Need to Train Deeper GCNs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.972050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7496035b-16fa-4a4b-b166-f06754640fa6 · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.975434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d8dd61-70b2-49c8-bbc7-9a8eda6e68f5 · outbound

This paper cites K-optimal only: IC(0) preconditioner failed.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations K-optimal only: IC(0) preconditioner failed

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:37:11.319324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eba7bfea-d38e-46b9-af26-85d1d14c1853 · outbound

This paper cites Graph Attention Networks.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Graph Attention Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.962179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16756805-c46a-4650-9be9-b1a85abf663c · outbound

This paper cites How Attentive are Graph Attention Networks?.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations How Attentive are Graph Attention Networks?

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.968753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1a7fc32-84b1-480e-839c-b044f53ace33 · outbound

This paper cites Machine-learned precon- ditioners for linear solvers in geophysical fluid flows.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Machine-learned precon- ditioners for linear solvers in geophysical fluid flows

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.939337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 030b5e06-ef37-4322-acdc-7d4a4ffd5f9d · outbound

This paper cites How Powerful are Graph Neural Networks?.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations How Powerful are Graph Neural Networks?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.958839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d18448-c13d-4342-b8a3-c38f8691b609 · outbound

This paper cites Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.935307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db3e288e-2f60-4ce7-ad4b-602a8c5121b7 · outbound

This paper cites Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers.

Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T15:37:10.926998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.