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Paper Citation Record · LEDGER

Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.10471.

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

pith.paper-citation-record.v1
2202.10471 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:59:58.770254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:15:51.714326Z

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 e7291b25-3df0-4da8-8c6f-8354fecd3b78 · inbound

On the Effectiveness of Random Weights in Graph Neural Networks cites this paper.

On the Effectiveness of Random Weights in Graph Neural Networks Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T19:59:58.770254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:59:58.770254Z digest=sha256:e3c484ff8e8df42b3ab0eb493f2125fccd8c0dc6ab37ddc793a4073379a193b2

Observation 2502e29f-19bd-4af2-ba49-b4044b334c26 · inbound

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach cites this paper.

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:51.718577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:38:36.907681Z digest=sha256:6fdaa522e414aebff621aac6f236ac03b2ec0214e91d89b2d66049630aa1076e