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Paper Citation Record · LEDGER

Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.11485.

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

pith.paper-citation-record.v1
2408.11485 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:49:15.781883Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 4e419c9b-1820-4fb0-b7dd-1e59b1253e74 · inbound

Component-Level Inverse Design of Transmon Qubits Using Neural Networks cites this paper.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T09:27:12.357907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:27:12.357907Z digest=sha256:76b17671f2c7b3e29c5f4379121cb5f54a7a466717efd4189cb45f44f0e90f3e

Observation 2a260a8f-4367-447f-a891-81cdb99d2d13 · inbound

Component-Level Inverse Design of Transmon Qubits Using Neural Networks cites this paper.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T00:49:15.781883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:49:15.781883Z digest=sha256:384de56434f446b98a05fb998fdf20ebc5772a70bc6ebbb8f8af2f79a06b275a