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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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:b1d6d1c7f7be2f54fa97485952bca0ea24e79d22e1cd11c0b45e71acd959c3dc

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=sha256:45912f96bdb75226c022cb68e0c82e87278a04afbc833fec88181f216506a564

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:25:43.889861Z digest=sha256:198f1303c738c19f2e9d8dcb506b11e125fd1c232d12264588f63b5fd4664539

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:d7eb786bd310780ac30e5d1856e6390279487a4ac477112a8bd5881254dbb861

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:25:44.197185Z digest=sha256:6784a396515e6556021da18f28ba1f75d41e24285fa1eb3a7aca477dfa58c715

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:25:44.287279Z digest=sha256:9938520678bcb059bf1fef1c44b70d7580abd4972f709320bc931447b5caa289

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:25:44.401132Z digest=sha256:c2e1597d1b2008c4f26e4747f8006a8b0167a31a674c96990de3a035b60d5509

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=sha256:98a597406aadc4126636870aaff7fa2be62a5932b068d614e9bfd1d378a5f52e

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=sha256:2f61def7bc8e6c0b5587cfa44dc2d07e2e32a26ffef6d4587385ff03a7851e56

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:f58bbc06bc7ebc08842f71c151ef6dbb0585a0a8e9ecf54bc40c66cc5b4f96f3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:25:44.875173Z digest=sha256:35666bf6da46f43fee4b3fd9d1d2f92c52827fa06c7b31d02c1c1fff24af72a9

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=sha256:6d0f423d976ce62cef80d5f04fb5c33678fd6db290e9dfce7b0f4411f26dfce7

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=sha256:83d8f0c2ea43db411f17959b4db6e0f3438dcd54cf87310d6ecfb2b9cd77f13e

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=sha256:21bd6286e9b12969d85a72ff0ae4d93bb5d05f2038d6d791063bd989896149c4

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:bd07df51d4634cf69fc4c87c43d85dbf90665e7fae1aecfe377d91046716d070