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Paper Citation Record · LEDGER

Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2508.04098.

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

pith.paper-citation-record.v1
2508.04098 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:30:56.570238Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 9c10576d-a3e4-4ea8-9fbd-7582816649b3 · inbound

Quantum machine learning interatomic potential: Application of variational quantum algorithm cites this paper.

Quantum machine learning interatomic potential: Application of variational quantum algorithm Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T00:30:56.570238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:30:56.570238Z digest=sha256:8cbb3674e56358e4f0774bb057bdae552fce2e6df785d0256bdb6199cc4b9209