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Paper Citation Record · LEDGER

Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.15595.

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

pith.paper-citation-record.v1
2012.15595 v3

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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:48:52.445327Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:05:56.774311Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 a893950e-4caf-4779-8495-71de0b986a97 · inbound

Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems cites this paper.

Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:05:56.780615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T14:05:56.335294Z digest=sha256:ef810f66facf6a1f8dbea01b8af1e63caf6de4d2ee35f6caafc3444f4be11460

Observation 2e2eaf79-6e8b-422e-9468-9e0ef5e4e818 · inbound

Accelerating Trust-Region Methods: An Attempt to Balance Global and Local Efficiency cites this paper.

Accelerating Trust-Region Methods: An Attempt to Balance Global and Local Efficiency Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T00:40:46.466473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:40:46.466473Z digest=sha256:9e79e56e1a40ed979dc8dbef5f4686f4db545b30042690e1f7bc525e821b062f

Observation 03e73654-a56a-4a70-a153-6d524f4dbf88 · inbound

Halpern Iteration Achieves $\tilde{\mathcal{O}}(\epsilon^{-1/p})$ $p$th-Order Oracle Complexity for Monotone Variational Inequalities cites this paper.

Halpern Iteration Achieves $\tilde{\mathcal{O}}(\epsilon^{-1/p})$ $p$th-Order Oracle Complexity for Monotone Variational Inequalities Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-14T04:48:52.445327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:52.445327Z digest=sha256:baa10129eb46d6344de5ac65a476627bcbb0f2ab2d5bff8a36a85d7f126b5ce7