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Paper Citation Record · LEDGER

Exploiting symmetry in variational quantum machine learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.06217.

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

pith.paper-citation-record.v1
2205.06217 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:48:00.743479Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:11:04.548432Z

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 ac983dfc-5f23-43d0-91a6-aad7f517f319 · inbound

Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes cites this paper.

Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes Exploiting symmetry in variational quantum machine learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T23:48:00.743479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:48:00.743479Z digest=sha256:d754ac2f9eca4f8aa4655c92f49bf02f3b595215ccd9b744895bd852846690b4

Observation 74e22437-090f-4ca5-839e-ba46724b3718 · inbound

Trainability Beyond Linearity in Variational Quantum Objectives cites this paper.

Trainability Beyond Linearity in Variational Quantum Objectives Exploiting symmetry in variational quantum machine learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:11:04.552364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:07:06.038782Z digest=sha256:6b42b4ab9be5a506360eee70583b78bb2a66a14db0a115af7bddf2cd7923508a