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Paper Citation Record · LEDGER

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting

As of 21 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.14858.

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

pith.paper-citation-record.v1
2506.14858 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:25:45.163062Z

measured 15 of 15 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:05:01.286005Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved9
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e7b8e7a-51fb-451a-9293-ba38cabddef4 · outbound

This paper cites How to simulate a universal quantum computer using negative probabilities,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting How to simulate a universal quantum computer using negative probabilities,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:43.690508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:43.690508Z digest=sha256:613b2649cf6300b8a91957b076ec0c765f222541fb6573853efbb912c312a43c

Observation 86cd1bc9-3b08-4547-8ffe-002182af092f · outbound

This paper cites Simulating large quantum circuits on a small quantum computer,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Simulating large quantum circuits on a small quantum computer,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:43.779181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:43.779181Z digest=sha256:e9a3316b97274aebe500c044dfce2eea5f165217f1f917353ad4868f3cf5337c

Observation cae91328-5398-4a30-8215-e165166a59fa · outbound

This paper cites Constructing a virtual two-qubit gate by sampling single-qubit operations,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Constructing a virtual two-qubit gate by sampling single-qubit operations,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:25:46.325723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T00:25:43.889861Z digest=sha256:62cdcaaad2a47c0b295544cd3b169ec0bd070b9a9c2ecd94dc9433c16eb4e24f

Observation 7be749fc-1c46-4838-8893-2e7187c35ab6 · outbound

This paper cites Incremental data-uploading for full-quantum classification,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Incremental data-uploading for full-quantum classification,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:44.104908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:44.104908Z digest=sha256:c72befb3be2bfa94cd3687e99c95e203520efa25de2ed396ac65e6a8163322f5

Observation bf2467c7-a9f6-4609-89be-2add0f40b96a · outbound

This paper cites High dimensional quantum machine learning with small quantum computers,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting High dimensional quantum machine learning with small quantum computers,

Reference 5

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T00:25:46.136346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T00:25:44.197185Z digest=sha256:0ebda3f6fc1ee4da8f892908d395ee45203beca4dbeccbb773266aa0034f80e0

Observation 9fc158c8-9531-4da6-91d7-db12e71569f8 · outbound

This paper cites Overhead-constrained circuit knitting for variational quantum dynamics,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Overhead-constrained circuit knitting for variational quantum dynamics,

Reference 6

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T00:25:45.975059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T00:25:44.287279Z digest=sha256:99e9a4c3544683f7eec3eab2c5d1493445aed87e39d86871661eec7d8c9f03d9

Observation 62ed0432-6b33-4b4f-87b3-73cddcf8fe03 · outbound

This paper cites Cutting multi-control quantum gates with zx calculus,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Cutting multi-control quantum gates with zx calculus,

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T00:25:45.354676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T00:25:44.401132Z digest=sha256:cbe10244f95cb34c1a1d72c5f4492e17ad80d16bd91b619866e9b17aea93ffcf

Observation b8960ee1-a7d1-42cc-8f47-ebff19d34813 · outbound

This paper cites Optimal joint cutting of two-qubit rotation gates,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Optimal joint cutting of two-qubit rotation gates,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:44.506853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:44.506853Z digest=sha256:26aea327861e22254ba5eb268bd4403a820a184888500c9048d917bb97061b7b

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

This paper cites Circuit knitting with classical communication.

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=sha256:75fc3ed302a6a71780d0c41a92f3cc026f636c633f9c970ae322ed3984028ae2

Observation 8b86b4c0-445a-4f0e-80a0-3a4807926f0f · outbound

This paper cites Qiskit addon: circuit cutting,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Qiskit addon: circuit cutting,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:44.757502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:44.757502Z digest=sha256:715fb43ff9ca14b79b8d10e81cbda0ba520e1f7019507a8df13ac7f9f989ce86

Observation 226cee63-ffaf-487c-b673-3f01c5361236 · outbound

This paper cites Guided-spsa: Simultaneous perturbation stochastic approximation as- sisted by the parameter shift rule,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Guided-spsa: Simultaneous perturbation stochastic approximation as- sisted by the parameter shift rule,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:25:45.788055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T00:25:44.875173Z digest=sha256:1ad80336d0cfbfd57d54aff6a68f4f93960b8cbc240f45ffc32f8c95835c81da

Observation 4b9bd82e-e7ff-4769-8e6a-0ebd0a8ae601 · outbound

This paper cites An empirical comparison of optimizers for quantum machine learning with spsa-based gradients,.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting An empirical comparison of optimizers for quantum machine learning with spsa-based gradients,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:45.085689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:45.085689Z digest=sha256:6eb2c9402d42cd5b82dae2cff6fc5bac06c9a739611f6adbd75be3a53a43196b

Observation 7fd2c485-3e4c-4fa7-9107-3a5fb89d8331 · outbound

This paper cites An observable measure of entanglement for pure states of multi-qubit systems.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting An observable measure of entanglement for pure states of multi-qubit systems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:45.163062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:45.163062Z digest=sha256:66f4b6322f940dd690675605ae63c1cdeed5ff3acf2be76fba91535bb3b5fb63

Observation 9f146477-5744-4d4c-b6b5-50ac66d86787 · outbound

This paper cites Available: https://doi.org/10.1088/1367-2630/abd7bc.

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting Available: https://doi.org/10.1088/1367-2630/abd7bc

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:44.005767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:44.005767Z digest=sha256:d4535ab8762229183b2fc47f397075ce4a7fa7ed9ac17f0f772594414cc8c13a

Pith citing papers

Observation aec66acb-49df-43e5-be84-50377ee9c8fb · inbound

MOSAIQC: Mixed-topology-aware Optimization for Scalable Approximate noise-Informed Quantum circuit Cutting cites this paper.

MOSAIQC: Mixed-topology-aware Optimization for Scalable Approximate noise-Informed Quantum circuit Cutting CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T14:05:01.286005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:05:01.286005Z digest=sha256:124237dde55c45cb01e837bc632d7589a063f2ba91e7a3e1d12c9e9d42051a8e