Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A rigorous and robust quantum speed-up in supervised machine learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.02174.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:15:36.525386Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 3fcddc55-da66-4c9c-a005-ad1ed1e35e23 · inbound
Assessing Quantum Advantage for Gaussian Process Regression cites this paper.
Assessing Quantum Advantage for Gaussian Process Regression A rigorous and robust quantum speed-up in supervised machine learning
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:15:36.525386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0950ccf-9a09-46fb-865e-307697ada402 · inbound
Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor cites this paper.
Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor A rigorous and robust quantum speed-up in supervised machine learning
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:39:35.037256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 127c57ae-cfa2-4cdc-bca8-9db60fe85f44 · inbound
Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm cites this paper.
Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm A rigorous and robust quantum speed-up in supervised machine learning
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T03:53:04.478723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.