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Paper Citation Record · LEDGER

Recent Advances for Quantum Neural Networks in Generative Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.03066.

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

pith.paper-citation-record.v1
2206.03066 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:50:39.728961Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T02:11:59.458287Z

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 71dbe8cf-eb23-4e27-8647-99f79e79696c · inbound

Quantum generative modeling for financial time series with temporal correlations cites this paper.

Quantum generative modeling for financial time series with temporal correlations Recent Advances for Quantum Neural Networks in Generative Learning

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:11:59.460203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T02:07:43.689644Z digest=sha256:3917be04c35e14c1eff9c810c3f84dcf9af5b7b3873acdb43f070939dcb28ccb

Observation 8d67b833-af9a-40f5-9258-86692eb345fa · inbound

Artificial intelligence for representing and characterizing quantum systems cites this paper.

Artificial intelligence for representing and characterizing quantum systems Recent Advances for Quantum Neural Networks in Generative Learning

Reference 249

Resolution
unresolved
no resolver link, observed 2026-08-05T05:50:39.728961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:50:39.728961Z digest=sha256:c9e322ce57f6e79f0e674a6b55e782a55f4fdee365e33a74b52fdd01f979a0e9