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Paper Citation Record · LEDGER

High Dimensional Quantum Machine Learning With Small Quantum Computers

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.13739.

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

pith.paper-citation-record.v1
2203.13739 v4

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 2026-08-08T05:55:32.549851Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T05:55:33.003139Z

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 80e1d52b-1b93-4e5a-82bb-568430630d16 · inbound

Networked Quantum Services cites this paper.

Networked Quantum Services High Dimensional Quantum Machine Learning With Small Quantum Computers

Reference 200

Resolution
malformed identifier
no resolver link, observed 2026-08-07T12:56:26.273311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:26.273311Z digest=sha256:27cb88034a57fd1e97e62e10acc8949e8e4cdc24775d999f7ef035b14f2f1ec2

Observation 3c634160-be1b-41e5-a59f-2e7f7c1f892d · inbound

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits cites this paper.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits High Dimensional Quantum Machine Learning With Small Quantum Computers

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T05:55:33.008446Z

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=arxiv_source observed=2026-08-08T05:55:32.549851Z digest=sha256:98768dc35aa9eebc86a2ae0a449aa3a3899a1ee9be62e5de570271533159ca46