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Paper Citation Record · LEDGER

Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.24171.

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

pith.paper-citation-record.v1
2503.24171 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:12:46.623470Z

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 d2225ec4-1181-4a58-81e1-c237209069ce · inbound

Universal Sample Complexity Bounds in Quantum Learning Theory via Fisher Information Matrix cites this paper.

Universal Sample Complexity Bounds in Quantum Learning Theory via Fisher Information Matrix Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T21:12:46.623470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:12:46.623470Z digest=sha256:49ef8ef8be76c61845a8cf029a62100161463c77f2d5357e7097da7d07c04fce

Observation 9bd67d9d-6952-40f2-9a90-5e1193ba019b · inbound

Efficient Noisy Quantum State and Process Tomography cites this paper.

Efficient Noisy Quantum State and Process Tomography Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T19:44:58.685647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:44:58.685647Z digest=sha256:69325bd3f16cdedd3258fb016afcafc31be88436887c8fb96bd6db38fc46e031