Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalization and Overfitting in Matrix Product State Machine Learning Architectures
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.04372.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:54:26.750150Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:46:37.390086Z
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 54fc4876-390e-4f1c-91dc-55d038c7488d · inbound
Regularized second-order optimization of tensor-network Born machines cites this paper.
Regularized second-order optimization of tensor-network Born machines Generalization and Overfitting in Matrix Product State Machine Learning Architectures
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:54:26.750150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bff8bb5-60f9-459a-ba5d-f02b65c8a6ab · inbound
Bayesian perspectives for quantum states and application to ab initio quantum chemistry cites this paper.
Bayesian perspectives for quantum states and application to ab initio quantum chemistry Generalization and Overfitting in Matrix Product State Machine Learning Architectures
Reference 109
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:05:27.493444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 795dcbb1-9d6a-4bd2-8f28-dddd13915389 · inbound
Double Descent in Quantum Kernel Ridge Regression cites this paper.
Double Descent in Quantum Kernel Ridge Regression Generalization and Overfitting in Matrix Product State Machine Learning Architectures
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:46:37.391372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.