Paper Citation Record · LEDGER

Exponentially Many Local Minima in Quantum Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.02479.

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

pith.paper-citation-record.v1
2110.02479 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:29:38.569254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:57:32.415953Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 33b578f0-33c8-4a77-a468-fad9f9cc2789 · inbound

Unlocking Multidimensional Integration with Quantum Adaptive Importance Sampling cites this paper.

Unlocking Multidimensional Integration with Quantum Adaptive Importance Sampling Exponentially Many Local Minima in Quantum Neural Networks

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T18:29:38.569254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d9f65f1-0ac6-436a-82d8-367d2c3e26aa · inbound

Enabling Lie-Algebraic Classical Simulation beyond Free Fermions cites this paper.

Enabling Lie-Algebraic Classical Simulation beyond Free Fermions Exponentially Many Local Minima in Quantum Neural Networks

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:02:25.077449Z

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.

Observation 71529a6e-9a89-4fe9-b187-c68ca5668f92 · inbound

Symmetries and overparametrization properties of Hamiltonian variational ansatzes for the $(1+1)$d $\mathbb{Z}_2$ lattice gauge theory cites this paper.

Symmetries and overparametrization properties of Hamiltonian variational ansatzes for the $(1+1)$d $\mathbb{Z}_2$ lattice gauge theory Exponentially Many Local Minima in Quantum Neural Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:06:59.322664Z

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.

Observation 4296c7a4-0e5d-45e9-9c76-bd363f0c02c4 · inbound

Absence of poor local minima in matrix product states cites this paper.

Absence of poor local minima in matrix product states Exponentially Many Local Minima in Quantum Neural Networks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:57:32.417177Z

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.

Observation 99e5f4f8-e26d-405a-9a15-0b213dc54d3c · inbound

Absence of poor local minima in matrix product states cites this paper.

Absence of poor local minima in matrix product states Exponentially Many Local Minima in Quantum Neural Networks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:25.351373Z

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.

Observation 6f08af03-df40-4324-9c8d-1873a9fd2488 · inbound

Quantum Fourier Generative Models Trainable at Large Scale cites this paper.

Quantum Fourier Generative Models Trainable at Large Scale Exponentially Many Local Minima in Quantum Neural Networks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:25:48.667242Z

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.