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Paper Citation Record · LEDGER

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing

As of 14 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2412.08023.

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

pith.paper-citation-record.v1
2412.08023 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:25:28.643420Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

73 of 73 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fb0eb7a-a448-414d-8a39-9ffd6bca3ac4 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d94494d4-dfb7-43e7-8445-08149762c791 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b3a67c61-0a69-4040-a617-bdf0196cda17 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2ab634c3-3eb2-4266-bb6d-c8e072eeda6a · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4b968c26-f711-4e80-9e75-40e8434ae687 · outbound

This paper cites John Wiley and Sons, New York (1983).

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing John Wiley and Sons, New York (1983)

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e2a6b377-aa66-4755-bee8-6bdf8ff84044 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2e8c0ddb-82c8-4fe5-98fe-cd87d393beb5 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 460f735f-027c-4228-8dca-5b3d72ba25f5 · outbound

This paper cites On the Asymptotic Superlinear Convergence of the Augmented Lagrangian Method for Semidefinite Programming with Multiple Solutions.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing On the Asymptotic Superlinear Convergence of the Augmented Lagrangian Method for Semidefinite Programming with Multiple Solutions

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 546be2e7-fa0e-407c-96da-099c00955ea7 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 96b3cccc-0bd7-4848-be8e-70f1af600732 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8738a74d-da4c-48c6-b1e2-95ca895d9a43 · outbound

This paper cites Springer Science & Business Media, New York (2007).

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Springer Science & Business Media, New York (2007)

Reference 11

Resolution
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Source-reported events for the cited work

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Observation c7f20170-cdc2-4faf-9c18-aa16f430ff89 · outbound

This paper cites Neural Comput.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Neural Comput

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a6ee2e50-52e7-445a-b8bf-7213e062f805 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f0af8f41-baf0-497d-872e-00f44dc99f30 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f9b42be9-dc2c-4d79-976c-082ab40c097a · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation babd6b7e-2679-4150-b829-d67f61865a9d · outbound

This paper cites Com- put.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Com- put

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d591c62f-b1b4-4c3a-9e64-295a441c7136 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7f2e2715-34cc-4692-98d2-8cbf5fb5ba13 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 536314d1-3bdf-406a-af23-40ac48473064 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 91286c60-51e5-49dc-a5be-44e4f9ac2229 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing In: International Conference on Machine Learning, pp

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ba42cf86-073d-450b-9a0f-233dd9d26abe · outbound

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Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c5b53ba7-0ef4-463f-bad5-c3fd67370fbb · outbound

This paper cites In: Discrete Geometry and Optimization, pp.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing In: Discrete Geometry and Optimization, pp

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1d535ce4-42a0-4423-87e5-f2bee4fb2a11 · outbound

This paper cites Neural Networks (2024).

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Neural Networks (2024)

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0fe0faf-3501-4f9b-97fc-df8e5814d2a2 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6e903179-1b9c-425f-a8de-0fe8ba2621ad · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6a005f58-acb1-4bcf-be3e-2b71c3fd301a · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7265693b-8569-47d2-974b-8081d523dd36 · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9e904fe6-6fbc-4722-bafa-7784abfb6cb6 · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 25003d9d-4f56-4928-ae6a-da0d729d2302 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 685c24c5-bb8d-48c0-8a89-da21939cc217 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 30

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a08408a7-76f0-4779-ba65-cd52e42fe6b1 · outbound

This paper cites IEEE ASME Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE ASME Trans

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6a3c3077-aded-4fd0-ba7b-6fe63ef6ff3e · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4c21422e-f60e-4b63-ba02-147a71b163aa · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 33

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 252b7370-c298-4322-a155-019346154ab9 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:25:29.515876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cbe1a22b-87d6-4fc8-8f88-5bc06894f1a8 · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 183055c4-4d62-446c-8eb5-720674718725 · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:25:29.484162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0dc145d1-c82e-4a37-8490-516bd9aa3cc8 · outbound

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Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a36ce4e2-38d7-4c16-b426-88d89970c3ee · outbound

This paper cites Adaptive Sieving with PPDNA: Generating Solution Paths of Exclusive Lasso Models.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Adaptive Sieving with PPDNA: Generating Solution Paths of Exclusive Lasso Models

Reference 38

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0e8f93c9-ef21-44af-93e4-043e1510c1ed · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6bd1d098-5c97-4578-98a3-100c1200d9f9 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing In: International Conference on Machine Learning, pp

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 19f6e426-260c-4169-b433-5e25195993c9 · outbound

This paper cites an unresolved cited work.

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Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 30a3ff06-4ab1-4483-9532-4db0f7f833bc · outbound

This paper cites an unresolved cited work.

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Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3e3e7c7b-5e47-44cc-aaf0-45aa70eb1e1b · outbound

This paper cites In: International Conference on Machine Learning, pp.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing In: International Conference on Machine Learning, pp

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2d1810b8-8fd9-444f-92d6-6ab109878215 · outbound

This paper cites an unresolved cited work.

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Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation eec3cbe5-1d59-4f37-a425-67dd30d6b20d · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 45

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 545de34b-ea96-4f4c-8473-ed29f70cb237 · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 46

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1d753d4b-4c73-43d5-9a1a-4fe4f3a58fd3 · outbound

This paper cites an unresolved cited work.

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Reference 47

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 80789986-8148-4b0c-b5c4-0cd6bbf36805 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 48

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fb5c490f-a354-45d3-a628-46d78ae997f2 · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 49

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Source-reported events for the cited work

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Observation 3fa97f57-b16f-4ff7-b623-98fea50992d7 · outbound

This paper cites an unresolved cited work.

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Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 69aa882d-7371-4b8f-be89-4167305e945f · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 51

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7cb68f5c-1b4f-48da-b227-44f6ce440a7b · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 52

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 9c2e5d87-f2dc-4739-8b03-6f162aad7404 · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 53

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Source-reported events for the cited work

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Observation de4b3068-de60-472b-943a-d130fede99da · outbound

This paper cites in Mathemat- ical Programming at Oberwolfach, Math.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing in Mathemat- ical Programming at Oberwolfach, Math

Reference 54

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d634c9d9-91b8-41a6-8104-2277f343b657 · outbound

This paper cites Princeton University Press, Princeton (1970).

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Princeton University Press, Princeton (1970)

Reference 55

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7cc40614-86db-4297-bee0-16a05af0324e · outbound

This paper cites an unresolved cited work.

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Reference 57

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation add658a1-2577-4018-8691-62399cc9448f · outbound

This paper cites an unresolved cited work.

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Reference 58

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ed04c851-a34a-4f2e-85a9-51e33b3c2767 · outbound

This paper cites John Wiley & Sons (2013).

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing John Wiley & Sons (2013)

Reference 59

Resolution
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Source-reported events for the cited work

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Observation 4997f64e-3666-4d9b-b6ae-8714e159b8dc · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 60

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f1f9add3-36ec-409d-9a8c-20c99df93194 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing In: International Conference on Machine Learning, pp

Reference 61

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 52ed7f55-237b-4a33-a917-e5c7b06fc622 · outbound

This paper cites Linear Alg.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Linear Alg

Reference 62

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c9cf791b-27aa-4734-8482-458baebc311d · outbound

This paper cites INFORMS J.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing INFORMS J

Reference 63

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6c5180e6-9c29-43f9-b9b7-25afc3345c08 · outbound

This paper cites an unresolved cited work.

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Reference 64

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fbb55166-046f-445b-b7a4-e732d84cf94e · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 65

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4b54bf3c-f78d-46dd-9486-1f6fd58a951a · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 66

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 547ffc8c-a64d-4e4c-95c0-df198a21832e · outbound

This paper cites Adaptive sieving: A dimension reduction technique for sparse optimization problems.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Adaptive sieving: A dimension reduction technique for sparse optimization problems

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T18:25:28.608487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 66bedf0c-d2fd-45ef-96e6-aa5c5423e4de · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:25:29.015058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 18a68757-66aa-45c2-9066-64a9dd7eee31 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:25:28.995691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3c73817b-de92-4690-9c77-d1e9a2cae2cd · outbound

This paper cites IEEE Trans.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing IEEE Trans

Reference 70

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fb096834-0610-4066-be7f-2edfa47b4ce0 · outbound

This paper cites Pattern Recognit.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Pattern Recognit

Reference 71

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 528d1911-5ad5-48c1-a7b0-66eaa1b9d809 · outbound

This paper cites Neurocomputing 275, 869–880 (2018).

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Neurocomputing 275, 869–880 (2018)

Reference 72

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 97f32c65-a687-4eb6-a274-4bc208d89ba3 · outbound

This paper cites an unresolved cited work.

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:25:28.923624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 868ecb78-2331-4a63-8dfa-cc16a4d7b431 · outbound

This paper cites In: NIPS Workshop on Optimization in Machine Learning (OPT) (2015).

Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing In: NIPS Workshop on Optimization in Machine Learning (OPT) (2015)

Reference 74

Resolution
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raw_fallback, observed 2026-08-11T18:25:28.905564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:25:28.643420Z digest=sha256:434ce691af0052ec2cb06d5c5170bef4a01519bc735ace7f4c4ab4a5601458df

Pith citing papers

No inbound Pith citation observations are available.