Paper Citation Record · LEDGER

Embedding-based Methods for Linear Solver Performance Prediction

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.13255.

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

pith.paper-citation-record.v1
2606.13255 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T05:13:32.433290Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a611eff8-4a89-4a5d-8fcc-f9dbaecd52f9 · outbound

This paper cites Adams, Steven Benson, Jed Brown, Peter Brune, Kris Buschelman, Emil M.

Embedding-based Methods for Linear Solver Performance Prediction Adams, Steven Benson, Jed Brown, Peter Brune, Kris Buschelman, Emil M

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5166218-c08a-4c17-b323-77f2284525d9 · outbound

This paper cites Templates for the solution of linear systems: building blocks for iterative methods.

Embedding-based Methods for Linear Solver Performance Prediction Templates for the solution of linear systems: building blocks for iterative methods

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

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Observation 08ea60e6-4cc9-4a21-a616-4722543929c1 · outbound

This paper cites Preconditioning techniques for large li near systems: a sur- vey.

Embedding-based Methods for Linear Solver Performance Prediction Preconditioning techniques for large li near systems: a sur- vey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

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Observation 348c7568-544b-4221-969a-7ff920c19fdc · outbound

This paper cites Application of machine learning to the selecti on of sparse linear solvers.

Embedding-based Methods for Linear Solver Performance Prediction Application of machine learning to the selecti on of sparse linear solvers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a577f16a-e123-4546-8a3b-561373691e9e · outbound

This paper cites A New Pair of GloVes.

Embedding-based Methods for Linear Solver Performance Prediction A New Pair of GloVes

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:38:39.924681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 11f09b70-2681-4131-96fb-391eee5a90d0 · outbound

This paper cites Self- adapting software for numerical linear algebra and lapack f or clusters.

Embedding-based Methods for Linear Solver Performance Prediction Self- adapting software for numerical linear algebra and lapack f or clusters

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de66ca15-9a2f-457b-9f5b-aae18cfe0a59 · outbound

This paper cites The university of ﬂorida spa rse matrix collection.

Embedding-based Methods for Linear Solver Performance Prediction The university of ﬂorida spa rse matrix collection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc555da6-78c7-4ab5-89f7-c00b09661aae · outbound

This paper cites Self-adapting numerical sof tware (sans) eﬀort.

Embedding-based Methods for Linear Solver Performance Prediction Self-adapting numerical sof tware (sans) eﬀort

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ebb2c3-1622-4a52-8ee1-e360341c5521 · outbound

This paper cites Self-adapting numer ical software for next generation applications.

Embedding-based Methods for Linear Solver Performance Prediction Self-adapting numer ical software for next generation applications

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7993dcaf-d78b-49dc-b8ea-48738a9b05da · outbound

This paper cites Preconditioning for sparse l inear systems at the dawn of the 21st century: History, current developments, an d future per- spectives.

Embedding-based Methods for Linear Solver Performance Prediction Preconditioning for sparse l inear systems at the dawn of the 21st century: History, current developments, an d future per- spectives

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 488697f7-34e4-46a4-a8ed-26741cf7d427 · outbound

This paper cites Predictio n of optimal solvers for sparse linear systems using deep learning.

Embedding-based Methods for Linear Solver Performance Prediction Predictio n of optimal solvers for sparse linear systems using deep learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470bd63e-2e54-4f48-bf6d-fe84051e7826 · outbound

This paper cites A recomme ndation sys- tem for preconditioned iterative solvers.

Embedding-based Methods for Linear Solver Performance Prediction A recomme ndation sys- tem for preconditioned iterative solvers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a54371-0177-4b4e-a315-cefa2783a9d1 · outbound

This paper cites https://llnl.gov/casc/hypre, https://github.com/hypre-space/hypre.

Embedding-based Methods for Linear Solver Performance Prediction https://llnl.gov/casc/hypre, https://github.com/hypre-space/hypre

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6da2d3f-e234-41b3-bf81-cce4243bda56 · outbound

This paper cites Cumulated gain -based evalua- tion of ir techniques.

Embedding-based Methods for Linear Solver Performance Prediction Cumulated gain -based evalua- tion of ir techniques

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0118bf42-948b-417a-9621-b6a7cb772fb3 · outbound

This paper cites Performance-based numerical solver selection in the light house framework.

Embedding-based Methods for Linear Solver Performance Prediction Performance-based numerical solver selection in the light house framework

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30531154-2bf3-413b-ba87-d26780c75701 · outbound

This paper cites Feature selection w ith the boruta package.

Embedding-based Methods for Linear Solver Performance Prediction Feature selection w ith the boruta package

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c427af-d65c-444a-b4ac-dc2b0efbdd8b · outbound

This paper cites Computing information retrieval per- formance measures eﬃciently in the presence of tied scores.

Embedding-based Methods for Linear Solver Performance Prediction Computing information retrieval per- formance measures eﬃciently in the presence of tied scores

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d24b12cd-9185-4cd4-9c31-1e78a24e2583 · outbound

This paper cites Distributed representations of words and phrases and their compositional- ity.

Embedding-based Methods for Linear Solver Performance Prediction Distributed representations of words and phrases and their compositional- ity

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0148bf3b-21b8-4fb2-9586-e304debffed9 · outbound

This paper cites Preconditioners f or krylov subspace methods: An overview.

Embedding-based Methods for Linear Solver Performance Prediction Preconditioners f or krylov subspace methods: An overview

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94ac74ea-5e82-4ae3-b1fd-502005baa00a · outbound

This paper cites Glove: Global vectors for word representation.

Embedding-based Methods for Linear Solver Performance Prediction Glove: Global vectors for word representation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7063367-7c95-4006-a68e-28de94eada85 · outbound

This paper cites The algorithm selection problem.

Embedding-based Methods for Linear Solver Performance Prediction The algorithm selection problem

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3310e2e0-a3e3-4619-ba92-e18deec796e4 · outbound

This paper cites Iterative methods for sparse linear systems.

Embedding-based Methods for Linear Solver Performance Prediction Iterative methods for sparse linear systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a952d2b-a5dc-4973-bc4c-876ac3e710de · outbound

This paper cites Iterative solver selection techniques for sparse linear syst ems.

Embedding-based Methods for Linear Solver Performance Prediction Iterative solver selection techniques for sparse linear syst ems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c79c31b-d2af-4962-95a8-fe0536b54c22 · outbound

This paper cites Graph neural netw orks for se- lection of preconditioners and krylov solvers.

Embedding-based Methods for Linear Solver Performance Prediction Graph neural netw orks for se- lection of preconditioners and krylov solvers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d444080-9924-4447-8617-8ea9176492e2 · outbound

This paper cites Mining multi- label data.

Embedding-based Methods for Linear Solver Performance Prediction Mining multi- label data

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81f3e08-3136-4b98-a759-afed74a5a6eb · outbound

This paper cites A theo- retical analysis of ndcg type ranking measures.

Embedding-based Methods for Linear Solver Performance Prediction A theo- retical analysis of ndcg type ranking measures

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeae73cf-16fd-4ea7-a4be-5dc79d87918a · outbound

This paper cites Automatically tun ed linear algebra software.

Embedding-based Methods for Linear Solver Performance Prediction Automatically tun ed linear algebra software

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd02f2d-1d35-4cf4-8c3a-69333945143b · outbound

This paper cites A survey of accelerating parallel sparse linear al gebra.

Embedding-based Methods for Linear Solver Performance Prediction A survey of accelerating parallel sparse linear al gebra

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

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Unavailable: canonical work link unavailable.

Observation 8d36ff0f-bbf5-46c2-9e35-9e6a7c16b9ef · outbound

This paper cites Mm-autosolver: A multimodal machine learning met hod for the auto-selection of iterative solvers and preconditioners.

Embedding-based Methods for Linear Solver Performance Prediction Mm-autosolver: A multimodal machine learning met hod for the auto-selection of iterative solvers and preconditioners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

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Unavailable: canonical work link unavailable.

Observation 614bad13-ffd6-4871-beb2-11fa879d6cab · outbound

This paper cites Data-driven performance modeli ng of linear solvers for sparse matrices.

Embedding-based Methods for Linear Solver Performance Prediction Data-driven performance modeli ng of linear solvers for sparse matrices

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T05:13:32.433290Z

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Pith citing papers

No inbound Pith citation observations are available.