Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Contextuality and inductive bias in quantum machine learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.01365.
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 2026-08-05T15:53:40.586220Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T13:17:55.014771Z
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 bd190a88-a7b6-431a-92a9-4d0c0a252ff3 · inbound
Is data-efficient learning feasible with quantum models? cites this paper.
Is data-efficient learning feasible with quantum models? Contextuality and inductive bias in quantum machine learning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:53:40.586220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4ab17f6-ae54-45e9-8c26-23d5484c2c3c · inbound
Typicality of Contextuality cites this paper.
Typicality of Contextuality Contextuality and inductive bias in quantum machine learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:31:44.831123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f2733c9-a012-456d-a5e5-9c9fecfe1b04 · inbound
Geometric Preconditioning and Curriculum Optimization for Trainable Variational Quantum Regression cites this paper.
Geometric Preconditioning and Curriculum Optimization for Trainable Variational Quantum Regression Contextuality and inductive bias in quantum machine learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T13:17:55.018017Z
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.
Observation be71b7fe-5916-49b3-b7ab-cb8617d2b078 · inbound
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors cites this paper.
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors Contextuality and inductive bias in quantum machine learning
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T13:05:24.639805Z
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.
Observation 1b877b5a-1b05-406a-98eb-9ed42dd42068 · inbound
The power of entanglement in distributed quantum machine learning cites this paper.
The power of entanglement in distributed quantum machine learning Contextuality and inductive bias in quantum machine learning
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T10:41:31.421281Z
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.