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Paper Citation Record · LEDGER

Hybrid Quantum-Classical Graph Convolutional Network

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2101.06189.

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

pith.paper-citation-record.v1
2101.06189 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:29:06.474673Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.779381Z

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 d6f7443a-38a9-4c54-9b9f-7bea13d1e66f · inbound

Quantum Convolutional Neural Networks are Effectively Classically Simulable cites this paper.

Quantum Convolutional Neural Networks are Effectively Classically Simulable Hybrid Quantum-Classical Graph Convolutional Network

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:05:49.999823Z

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=2026-05-23T22:05:20.412426Z digest=sha256:87a6446beee7052bc65797c02e1e6ea8be7a8534c55246865d028922749326c4

Observation b1cce699-5483-4e57-b8a3-eeba682d2686 · inbound

Learnable quantum spectral filters for hybrid graph neural networks cites this paper.

Learnable quantum spectral filters for hybrid graph neural networks Hybrid Quantum-Classical Graph Convolutional Network

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:06.474673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:06.474673Z digest=sha256:d720f2bdb881a6811b44d36d50d76984a9d2f2430fbd3a6b7a26b688e369f866

Observation 91b20ac5-35a6-431c-8496-8f69810756a8 · inbound

Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era cites this paper.

Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era Hybrid Quantum-Classical Graph Convolutional Network

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T22:50:37.631630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:50:37.631630Z digest=sha256:37290b98ceff4881d6da5305528b09758f125f588f99b571e545d336f38b41ae

Observation 50d72da0-dc01-485e-a4ea-b5207a35f16b · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Hybrid Quantum-Classical Graph Convolutional Network

Reference 188

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.780642Z

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=2026-07-03T19:29:34.070294Z digest=sha256:40f898d63bc0cef34a67d2c7f52c3b1c76865d83cf851191217d7af803c7d974