Pith. sign in

Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.673420Z digest=sha256:49383995a08e301d06099fc29c81c61686ad23147ed317f70a8f264dee09970d

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.677043Z digest=sha256:9f7d6ff447be63d23279a56657f30c832c8dff06843d1e970a21f18dadd5818f

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

Resolution
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=sha256:9a1f2e04119ef32558b737cbc87cee3d470ae80eb97c056090721f89cd69a36a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.992910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.684554Z digest=sha256:91484a1aaf07ace7e16f49a2579295db1ea1e0e39c9d424ca4029ac586fe10b3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.688125Z digest=sha256:e854482a45dcaceb5ab69c77e410cb249bdec4c81b3d354606c0a24f6b02c03c

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=sha256:1cb3db0e0bfdc52b4c888e63a22e4339a1266c8dd4f396d551e37a5b766c7e28

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
raw_fallback, observed 2026-08-11T15:07:11.964597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.695691Z digest=sha256:c1c22ca78637c78fc429cac1c6ac837eefe3dbd0fe58c00859573a1e0ab45214

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.953300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.699026Z digest=sha256:85db83f65c7c6192689775d81af5d7497642a79c1a981ea44f70ef28a3692ee7

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.702348Z digest=sha256:28dcec0d431aac4953f41731eb97d675fe6e2aeb59b45c4bb7bbda2a11aeb5fd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.929755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.705631Z digest=sha256:d55aeb3fbe837bb5482f2d01c5ff4d1f2ce11501d380726f459408a98adf125f

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.708987Z digest=sha256:0b529cbd660f2bbd5aa5969cb5385ba733d9f1b7ac051e086baa46beeeb196d5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.712757Z digest=sha256:8d3527ad3035c01b9fbdab6cc73dc28266fbf2019a36de4d9d29fbfa07c595d3

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.667580Z digest=sha256:dd3ba44cbc222ca75a1a03cd3d449a4158f33efb30ecf6a7d1ec2233c0f89183

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.891403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.715674Z digest=sha256:efdc2ce0721b616eb18648aead1ff7538c031fb7bd004590ffa5b0640f46ad17

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.879856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.719074Z digest=sha256:1c1b61ef78e94b5146d6226da04182d6f48df4a668af57e4560f0445210f7a76

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

Resolution
unresolved
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.722716Z digest=sha256:7861fc9e54960e0125dce6f80bd54d89ac0e85e4bc6030703fb751dd75662b2b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.856140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.726788Z digest=sha256:86cc310952d5b36ce3ce433abf6cfca357f775f3fa922f62cc74d71998e707b7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.844495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.730137Z digest=sha256:08258f1ea15ffcdfd481e2e7b4df2f677373216dbdae8ffd1fc22c313da51260

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

Resolution
unresolved
no resolver link, observed 2026-08-11T15:07:11.734091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:07:11.734091Z digest=sha256:0a816201ba8fbc1ee7d2423d2ff45ff9730380fea0c2acaf373de51a412db312

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

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:07:11.833699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.738265Z digest=sha256:203629077348dbfa7dffb08bab7093e33a8514ace9a7d62672ffa1bd0775079c

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

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:07:11.822398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.742460Z digest=sha256:807c877598fa5a1eab24c7496421c664d8dd1da815e4ee3947dca00b30607f18

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:07:11.810604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.746691Z digest=sha256:b8d8dbb17483196d182663f4172698e3d6c29ff40c0e0802804a61599544988f

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T15:07:11.667580Z digest=sha256:dd3ba44cbc222ca75a1a03cd3d449a4158f33efb30ecf6a7d1ec2233c0f89183