Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.06708.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:58:07.802081Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T12:06:03.842516Z
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 66dca8e7-65d9-465e-a712-bcfc7c0047db · inbound
A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data cites this paper.
A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:58:07.802081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091ac282-0c60-476a-9057-f56394c81aa8 · inbound
Distributional Off-Policy Evaluation with Deep Quantile Process Regression cites this paper.
Distributional Off-Policy Evaluation with Deep Quantile Process Regression Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:06:03.847660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.