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Paper Citation Record · LEDGER

First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.02412.

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

pith.paper-citation-record.v1
2309.02412 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:29:52.263588Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.293218Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 f6e30e22-2a64-4f89-a04f-2f1a70aee5ff · inbound

A Cubic Regularization Method for Multiobjective Optimization cites this paper.

A Cubic Regularization Method for Multiobjective Optimization First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:52.263588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:29:52.263588Z digest=sha256:d579df1f7ed7c59859ea01d3a0fc38c20b1e085822f779681c759be4d05d3f69

Observation 72e94c56-c3ad-4b40-a1c9-934fa212cf97 · inbound

Second-Order Bilevel Optimization with Accelerated Convergence Rates cites this paper.

Second-Order Bilevel Optimization with Accelerated Convergence Rates First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:11.292517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T08:08:45.069685Z digest=sha256:8f86cdd326b7740ba66101e7b167c7108a6415174016210bac3265b7457fa4be

Observation 93078c87-c25e-4650-81c1-6893bf11dd3b · inbound

Finding Stationary Points by Comparisons cites this paper.

Finding Stationary Points by Comparisons First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:09:51.294490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T05:26:07.720218Z digest=sha256:ea80ccdc8e0c1c86813dfb9294eab43faff08a10aa0644c20dedcbb5ecfc4665

Observation a6cb3cfa-1ba5-49c5-a780-54d6ad5ac124 · inbound

Optimal Convex Optimization with Inexact Second-Order Oracles cites this paper.

Optimal Convex Optimization with Inexact Second-Order Oracles First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians

Reference 83

Resolution
unresolved
no resolver link, observed 2026-07-31T12:44:32.961322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T12:44:32.961322Z digest=sha256:03a8a87b327cddabe8595130b8f5f7f7144d50c193a4befddf7216e9593a39d1

Observation 7f2c5be8-1267-454e-9954-85edd7c9a905 · inbound

Optimal Convex Optimization with Inexact Second-Order Oracles cites this paper.

Optimal Convex Optimization with Inexact Second-Order Oracles First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-03T01:55:02.169149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:55:02.169149Z digest=sha256:3a25cde32d9e1169db4456ea98c4ef922f673eb8e0691466fec710be57cfa95a