Paper Citation Record · LEDGER

A Unified Theory of Quantum Neural Network Loss Landscapes

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.11901.

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

pith.paper-citation-record.v1
2408.11901 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:11:56.957463Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:57:32.420533Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 34a4f678-cbca-4c76-a8b4-2a79a5f07c73 · inbound

Pitfalls when tackling the exponential concentration of parameterized quantum models cites this paper.

Pitfalls when tackling the exponential concentration of parameterized quantum models A Unified Theory of Quantum Neural Network Loss Landscapes

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T12:11:56.957463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc8ab80-c07d-4cf6-976d-96bafa625e9e · inbound

Exploiting biased noise in variational quantum models cites this paper.

Exploiting biased noise in variational quantum models A Unified Theory of Quantum Neural Network Loss Landscapes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T07:56:14.072864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbbda33-3255-4b9d-bc04-056b09a775f3 · inbound

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis cites this paper.

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis A Unified Theory of Quantum Neural Network Loss Landscapes

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-13T10:08:12.401078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1513decb-b26c-4e20-a271-e7167fcdec13 · inbound

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

Absence of poor local minima in matrix product states A Unified Theory of Quantum Neural Network Loss Landscapes

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:57:32.421841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa7c76ec-4341-40aa-afbb-2a8d5dc5a78c · inbound

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

Absence of poor local minima in matrix product states A Unified Theory of Quantum Neural Network Loss Landscapes

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:25.338012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.