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Paper Citation Record · LEDGER

Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1501.07242.

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

pith.paper-citation-record.v1
1501.07242 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T19:13:12.641598Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2facbed2-b98e-4ac9-a074-17358fd5902c · inbound

Performance-Driven QUBO for Recommender Systems on Quantum Annealers cites this paper.

Performance-Driven QUBO for Recommender Systems on Quantum Annealers Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-04T18:08:37.254628Z

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=2026-05-23T19:13:12.641598Z digest=sha256:e2ea9b635d2e73716a00d93156abb492cd3355ab0146dddf6413c0bb9300583e

Observation 64f8f5ef-3869-4f3d-819a-e3c4ceeabca6 · inbound

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing cites this paper.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-04T18:08:37.254628Z

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=arxiv_source observed=2026-05-20T20:15:44.030714Z digest=sha256:02bfdcd61ba5314cbc97da505573cf182177f96b01c813b0effd7cff1493076c