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Paper Citation Record · LEDGER

Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.14742.

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

pith.paper-citation-record.v1
2308.14742 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:39:51.846928Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:55:24.866096Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 4e0571bf-1ce7-4dc4-86e2-83364226a26b · inbound

DADA: Dual Averaging with Distance Adaptation cites this paper.

DADA: Dual Averaging with Distance Adaptation Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:55:24.868458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T04:54:12.210472Z digest=sha256:7eb67223066419b2d49d3a91077c39c521c243b103616c1a4ae1ec46aa840ae2

Observation 5cb150ca-d708-4c86-ba45-178d415f9e19 · inbound

SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning cites this paper.

SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T13:56:23.000956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:56:23.000956Z digest=sha256:8c030fccd62627d04cf1c7aa8cba188fcc3686d35be4e82adf6e4b00a2dda0fd

Observation 4d59c09a-e9c2-4d2d-ae0a-53b50c5d1848 · inbound

A Fast Newton Method Under Local Lipschitz Smoothness cites this paper.

A Fast Newton Method Under Local Lipschitz Smoothness Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T23:39:51.846928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:39:51.846928Z digest=sha256:90837c0ef2185a47339921c53150f328bcfdaa7b561001490be9e2c1c7d09f34

Observation 29d90483-c6af-4890-aa45-26ce01e5dd62 · inbound

Gradient-Normalized Smoothness for Optimization with Approximate Hessians cites this paper.

Gradient-Normalized Smoothness for Optimization with Approximate Hessians Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:23.572938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:23.572938Z digest=sha256:c3c5127dd1a829f9b7b0b543987ba75e5877a9eb3535a041a51bda2c20fb47f7

Observation a4eb4eb9-fe76-4f5f-9a81-58e89b4f217c · inbound

Performance Estimation of second-order optimization methods on classes of univariate functions cites this paper.

Performance Estimation of second-order optimization methods on classes of univariate functions Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T22:10:24.812461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:10:24.812461Z digest=sha256:139759b2cac1573d5b3cf7944ca73c48cd0d60f0197dd67ed0fe208fcf776e6c

Observation 33ec225a-beea-42cb-bb33-be38412e0e24 · inbound

Convergence rates of Newton's method for strongly self-concordant minimization cites this paper.

Convergence rates of Newton's method for strongly self-concordant minimization Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T10:49:06.255417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:49:06.255417Z digest=sha256:821434c14673dd4599c04b10b6868120f8ac707514a17c21194061483282972f