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Paper Citation Record · LEDGER

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2412.11356.

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

pith.paper-citation-record.v1
2412.11356 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:07:11.746691Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:07:11.667580Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T15:07:11.791789Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4052e087-bfe9-4f28-a40d-47cec6a2eacc · outbound

This paper cites A comprehensive review of quantum machine learning: from nisq to fault tolerance.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits A comprehensive review of quantum machine learning: from nisq to fault tolerance

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-11T15:07:12.024173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3472eb5f-d3a6-4199-b731-b73603eab9c6 · outbound

This paper cites Quantum machine learning algorithms for drug discovery applications.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Quantum machine learning algorithms for drug discovery applications

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T15:07:12.011999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.677043Z digest=sha256:31c8be13ad2afa7f63e615b376a500d5d7d9221d9f987efc04fc388fea48372e

Observation 9043603b-cad3-4bd5-abcb-a0757456035b · outbound

This paper cites an unresolved cited work.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-08-11T15:07:11.680677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:07:11.680677Z digest=sha256:df61558be16e100edf1696ce02168dd15ef690b29a7494a36ddcf6714dd19ebf

Observation 2afd9f63-90a7-498f-918c-dba5f46632c5 · outbound

This paper cites A variational eigenvalue solver on a photonic quantum processor.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits A variational eigenvalue solver on a photonic quantum processor

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e195e6a1-3c5b-41b1-b8a6-2bc48a883f6c · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Understanding the difficulty of training deep feedforward neural networks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.982156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.688125Z digest=sha256:2a1a868150eefbe05c60c10b29aa8a51ba3783891b81746ad55e61cafdad6872

Observation 9c70c2f0-c46b-4fdb-b427-7924ecfac718 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, 2015.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, 2015

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T15:07:11.692372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:07:11.692372Z digest=sha256:fc9ef1719ace8642008866541484f5cb8dad49e03082c461fecec34d6c62f866

Observation b31ee89b-2a48-4147-849b-fcdf6aa6aa3e · outbound

This paper cites Solving the 3d ising model with the conformal bootstrap ii.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Solving the 3d ising model with the conformal bootstrap ii

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.695691Z digest=sha256:f73502147e181a3209eea5b17b9633c5a79fca90fdc72778f51101a3a06095cb

Observation 0388f4d0-cae3-435c-8dd5-def04fcd1431 · outbound

This paper cites Baker, Pe- ter J.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Baker, Pe- ter J

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4e672f7a-3f5a-478a-9e58-c9968918da0a · outbound

This paper cites an unresolved cited work.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Unresolved cited work

Reference 9

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unresolved
raw_fallback, observed 2026-08-11T15:07:11.942218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.702348Z digest=sha256:6c1b5f455f44ec4ef08d43e103f1ff74d32cce3fcc4061e372bd309c41c11352

Observation 0efc7d1f-f82a-4995-bd97-9bd8c0c31194 · outbound

This paper cites Escaping from the barren plateau via gaussian ini- tializations in deep variational quantum circuits.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Escaping from the barren plateau via gaussian ini- tializations in deep variational quantum circuits

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 765abdfe-c5e1-488e-9f33-89b2965a8b1d · outbound

This paper cites an unresolved cited work.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Unresolved cited work

Reference 11

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unresolved
raw_fallback, observed 2026-08-11T15:07:11.916568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.708987Z digest=sha256:b9b2d14e71c41d50adc2918aacbfabc004442995a7186b285fffbfd9cda0cb28

Observation 538349f1-d916-49a2-8165-1e774bd33ae2 · outbound

This paper cites Avoiding barren plateaus via Gaussian Mixture Model.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Avoiding barren plateaus via Gaussian Mixture Model

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.904966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.712757Z digest=sha256:c8b7f7d4b0ad734d9f585fa0aacbb1df0184d4006ccbf42f7b5585261fc7e16f

Observation 7c6a0c26-4cb3-4a79-a6c7-a7d202a7db9b · outbound

This paper cites The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits

Reference 13

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metadata mismatch
local_arxiv, observed 2026-08-11T15:07:11.798060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 273b46cd-deb0-4d0e-b459-f8f13f1dc727 · outbound

This paper cites Self- consistent field, with exchange, for beryllium.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Self- consistent field, with exchange, for beryllium

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7ba9035a-14c6-4bb3-8327-2f97ebfbc987 · outbound

This paper cites The heisenberg representation of quantum computers, 1998.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits The heisenberg representation of quantum computers, 1998

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c0e5de1a-0af4-4487-a109-862bc74feda9 · outbound

This paper cites an unresolved cited work.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-11T15:07:11.867995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d9dbf827-ba7e-4b84-9055-62d809c4a15c · outbound

This paper cites Beyond NISQ: The Megaquop Machine, Q2B 2024.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Beyond NISQ: The Megaquop Machine, Q2B 2024

Reference 17

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation af55448d-2743-42dc-b60d-02778ab60be7 · outbound

This paper cites Partial syn- drome measurement for hypergraph product codes.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Partial syn- drome measurement for hypergraph product codes

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b69a299c-6e13-46c8-a4e3-d8c13e04e284 · outbound

This paper cites Stabilizer bootstrapping: A recipe for efficient agnostic tomography and magic estimation.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Stabilizer bootstrapping: A recipe for efficient agnostic tomography and magic estimation

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c060290c-de2a-4381-88d3-11177e95f22a · outbound

This paper cites an unresolved cited work.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.738265Z digest=sha256:b5828f58494052572a7e4488d20e5d371121d06b20f4389dcd09a5e7dadbf92b

Observation 97eda703-b475-4947-ba61-d54d87708330 · outbound

This paper cites an unresolved cited work.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7b831a2f-66f3-4d69-8e9d-ceb3c3cb8455 · outbound

This paper cites However, according to the Gottesman-Knill theorem, Clifford circuits can be efficiently simulated by classical computers in polynomial time.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits However, according to the Gottesman-Knill theorem, Clifford circuits can be efficiently simulated by classical computers in polynomial time

Reference 22

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.746691Z digest=sha256:ab19cc9e15faf19ad32ae9114fd1025876cbfc9ab262d81c44b7caf960d3ad91

Pith citing papers

Observation 7c6a0c26-4cb3-4a79-a6c7-a7d202a7db9b · inbound

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits cites this paper.

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits

Reference 13

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local_arxiv, observed 2026-08-11T15:07:11.798060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:07:11.667580Z digest=sha256:3b5be788db843e7005fac4c447e70d1c0598e3c5de52772db02f4691ff0e9394