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Paper Citation Record · LEDGER

Solving quadratic binary optimization problems using quantum SDP methods: Non-asymptotic running time analysis

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.15426.

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

pith.paper-citation-record.v1
2502.15426 v1

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:36:42.550566Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:51:14.273288Z

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 b50a821e-023b-4aef-8d8c-9c37904fa169 · inbound

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding cites this paper.

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding Solving quadratic binary optimization problems using quantum SDP methods: Non-asymptotic running time analysis

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-12T16:36:42.550566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:42.550566Z digest=sha256:6cbac9c90ca18d86842c7a002f848f0382747b165252d149da5efe69290b44d4

Observation 57427537-596e-45db-9d7f-5be79a230c2e · inbound

Practical lower bounds for hybrid quantum interior point methods in linear programming cites this paper.

Practical lower bounds for hybrid quantum interior point methods in linear programming Solving quadratic binary optimization problems using quantum SDP methods: Non-asymptotic running time analysis

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:14.282338Z

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=2026-05-08T04:10:35.035207Z digest=sha256:52fd18b33edbb55023a2ec10c2aa0206f89e7682d2cdf4f396791820e439085d