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Paper Citation Record · LEDGER

Automatic virtual voltage extraction of a 2x2 array of quantum dots with machine learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.03685.

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

pith.paper-citation-record.v1
2012.03685 v3

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 2026-08-12T17:32:23.479018Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T17:32:23.812301Z

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 995e1133-4c98-4695-be7a-cbffbd896c25 · inbound

Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays cites this paper.

Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays Automatic virtual voltage extraction of a 2x2 array of quantum dots with machine learning

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-12T17:32:23.818296Z

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=2026-08-12T17:32:23.479018Z digest=sha256:bb03e5e950c83a1d507ba376925c37346cb2ffee95df10ee76699e55295d2983

Observation 19bf288e-7abf-4a0a-9d83-594f895a03f0 · inbound

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning cites this paper.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Automatic virtual voltage extraction of a 2x2 array of quantum dots with machine learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-13T03:08:01.590659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:08:01.590659Z digest=sha256:d2e0a347215764b9149809f02727ecb3cd30f10a1cf8b1751a64bb13204594a2