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Paper Citation Record · LEDGER

Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20116.

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

pith.paper-citation-record.v1
2405.20116 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:52:07.968917Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:17:01.378958Z

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 929bf0c9-0368-4d48-9bc3-9c5badc170fe · inbound

Exploiting Negative Curvature in Conjunction with Adaptive Sampling: Theoretical Results and a Practical Algorithm cites this paper.

Exploiting Negative Curvature in Conjunction with Adaptive Sampling: Theoretical Results and a Practical Algorithm Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T19:52:07.968917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:52:07.968917Z digest=sha256:f03cb80b9bd1c1e5137e3206cff7ffb2fcbd75ee95dbf8c587f3b3cfa6f0a97f

Observation 31265883-2fce-402f-b421-cfb0bdb87671 · inbound

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling cites this paper.

Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling Complexity of Zeroth- and First-order Stochastic Trust-Region Algorithms

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:17:01.459122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T04:17:00.587149Z digest=sha256:2a9a538d3721c4d3651f362115dd797ae7d2f3080892403b7b338a4d39f426a8