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Paper Citation Record · LEDGER

Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.13050.

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

pith.paper-citation-record.v1
2501.13050 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:08:05.748630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T09:49:57.417052Z

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 f174a1e5-bd12-402e-b6fd-5084cf89f4d7 · inbound

Interplay of resources for universal continuous-variable quantum computing cites this paper.

Interplay of resources for universal continuous-variable quantum computing Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T12:08:05.748630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:08:05.748630Z digest=sha256:7c3901683cd7a07de9215cb2e191929f80a0c2cab8c184ad3299d9b6593a7bad

Observation 6d8cea5c-9a2e-4bdc-b788-1d22320bfeec · inbound

Pauli Propagation: A Computational Framework for Simulating Quantum Systems cites this paper.

Pauli Propagation: A Computational Framework for Simulating Quantum Systems Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:53.297589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:53.297589Z digest=sha256:37117314218f8fdef2d5ae1fcad196fe586a2bfde07cf563ed1bcdb953fe56e5

Observation 3aa0ee7d-9b1e-45bc-adbe-4d08366107ee · inbound

One Polynomial Strategy for Computing Local Projections on Square-Lattice Cluster States cites this paper.

One Polynomial Strategy for Computing Local Projections on Square-Lattice Cluster States Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:23:15.903200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:15.903200Z digest=sha256:e277ab95a62c38754f0db5cf442b9331cda070d35a163825e92439c7707ba1df

Observation a0d98aef-b6fb-4be1-9108-a28168718b7d · inbound

Quantitative Universal Approximation for Noisy Quantum Neural Networks cites this paper.

Quantitative Universal Approximation for Noisy Quantum Neural Networks Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:33:18.404142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T21:30:55.729343Z digest=sha256:8e2c356c6b1a994d38a9fa928d086ad083dcced71972a36cc6e1389d94575c4e

Observation 1af7ad6b-6769-4485-adbf-d352397718f8 · inbound

Quantitative Universal Approximation for Noisy Quantum Neural Networks cites this paper.

Quantitative Universal Approximation for Noisy Quantum Neural Networks Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:49:57.418913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T09:47:06.645443Z digest=sha256:985d687641c71c5d41ed9b77a779181fce330ef3012f459d76e5b09c54ce3054