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Paper Citation Record · LEDGER

Circuit knitting with classical communication

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2205.00016.

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

pith.paper-citation-record.v1
2205.00016 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:44:47.221094Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:39:34.521091Z

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 432c1091-6b2c-4267-829e-f598b3de137a · inbound

A resource- and computationally-efficient protocol for multipartite entanglement distribution in Bell-pair networks cites this paper.

A resource- and computationally-efficient protocol for multipartite entanglement distribution in Bell-pair networks Circuit knitting with classical communication

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T21:44:47.221094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:44:47.221094Z digest=sha256:d899600849c612574bc3a84191865001ac248c370bb5bdfc1c9799f1085fd824

Observation f8fe1b8f-f1e1-4213-bea3-0f56325a3180 · inbound

Pretty-good simulation of all quantum measurements by projective measurements cites this paper.

Pretty-good simulation of all quantum measurements by projective measurements Circuit knitting with classical communication

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T20:21:12.731645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:21:12.731645Z digest=sha256:86c4c8e5292c7b9952e6e26871aa58a9a05e0b1b143acff55fc8353e1576751b

Observation 636ca150-543c-46dc-b177-2750a169c280 · inbound

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting cites this paper.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Circuit knitting with classical communication

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:44.612305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:44.612305Z digest=sha256:9bdf94cb10194906ce9c415ec041f0bc076634914459f2f3ba1bc0e4fedd015a

Observation 27ac81ba-ecfa-42e7-a33b-eb18d2770058 · inbound

Perspectives on Utilization of Measurements in Quantum Algorithms cites this paper.

Perspectives on Utilization of Measurements in Quantum Algorithms Circuit knitting with classical communication

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:57.440804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:57.440804Z digest=sha256:c0b95f28b70d66c187cb33070ae699e409ed430e6d61558cad43440d4b974083

Observation b83a0956-5ba1-417b-9e46-30bf1e420c84 · inbound

DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting cites this paper.

DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting Circuit knitting with classical communication

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T22:39:54.340590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:39:54.340590Z digest=sha256:098a7ec81853310fd3cddd09e6dfad16b9f34186e9f1e817669dd1c34fc8423b

Observation 04972b43-1dda-4f6e-87bc-e038859216df · inbound

Partitioned Iterative Quantum Scheduling of Satellites for Urgent Disaster Response: Case study of Wildfire cites this paper.

Partitioned Iterative Quantum Scheduling of Satellites for Urgent Disaster Response: Case study of Wildfire Circuit knitting with classical communication

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:58:03.167840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T09:45:06.232340Z digest=sha256:ba9b5b662b0db069f4e716bf6eff971892eb316b5f5312a57ca526bd173a137b

Observation cd98b206-3aa3-4d03-98f5-277cd846283a · inbound

Scalable quantum circuit knitting using a weak-coupling approximation cites this paper.

Scalable quantum circuit knitting using a weak-coupling approximation Circuit knitting with classical communication

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:49:18.691560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T20:57:02.576483Z digest=sha256:9e3a8e2d0100ada9ad86f29c5ffb3675f316cbcb68cce9caf9d294c4a4969817

Observation 4be3beb6-a556-47ac-98b9-0c5721a2c7cc · inbound

Distribution Complexity of Electronic Structure Simulations on Quantum Supercomputers cites this paper.

Distribution Complexity of Electronic Structure Simulations on Quantum Supercomputers Circuit knitting with classical communication

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:39:34.522567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T16:53:44.687998Z digest=sha256:8b316d1cb0ff1e197312398d41254450668610d0cca53cae052c2df4be01f2c9

Observation 946af41e-2bdb-4ec6-9f55-fe9d6ad3234a · inbound

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits cites this paper.

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits Circuit knitting with classical communication

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T05:55:32.576470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:55:32.576470Z digest=sha256:c4a9fbfd7bacb7248dd3e8eecda0e87a2c8acfed3ad58b2bd2c36ffde56346d2