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Paper Citation Record · LEDGER

Applying the quantum approximate optimization algorithm to general constraint satisfaction problems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.17442.

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

pith.paper-citation-record.v1
2411.17442 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:02:01.210295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:57:10.469827Z

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 29faec16-421a-418c-b39e-4e8a477df5d1 · inbound

Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm cites this paper.

Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm Applying the quantum approximate optimization algorithm to general constraint satisfaction problems

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:57:10.473276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T21:55:17.540073Z digest=sha256:98e096d2773c56c6fce7728bfd5fc075e45c7aeb2a84391bb5c4e0d9f365a36a

Observation b6f16748-68bc-4d9f-8d47-145822e4e301 · inbound

Quantum-informed surrogate sampling for combinatorial optimization cites this paper.

Quantum-informed surrogate sampling for combinatorial optimization Applying the quantum approximate optimization algorithm to general constraint satisfaction problems

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T05:02:01.210295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:02:01.210295Z digest=sha256:3cc0df2f14e0ff61a1086b7674e7d89a114dc1cca0dc6eb0b41a8206b146a5a8