Paper Citation Record · LEDGER

Learning subgaussian classes : Upper and minimax bounds

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1305.4825.

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

pith.paper-citation-record.v1
1305.4825 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:44:36.712015Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T02:35:53.832702Z

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 9ddd14e1-399b-4f77-8207-658a5b34b92e · inbound

On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors cites this paper.

On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors Learning subgaussian classes : Upper and minimax bounds

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T05:12:14.231175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8be3dec-c41c-45a8-a741-4fd6b1f89bf1 · inbound

On the Efficiency of ERM in Feature Learning cites this paper.

On the Efficiency of ERM in Feature Learning Learning subgaussian classes : Upper and minimax bounds

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-12T18:06:35.969380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dce5a64-e32c-436e-b8e0-01b49296c123 · inbound

Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs cites this paper.

Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Learning subgaussian classes : Upper and minimax bounds

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T22:54:24.924833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85f2a205-f404-4abe-b49f-e97c7cff4591 · inbound

Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models cites this paper.

Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models Learning subgaussian classes : Upper and minimax bounds

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T16:44:36.712015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6fc3f04-8dd1-4dfd-99fe-6496acddfc2f · inbound

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Learning subgaussian classes : Upper and minimax bounds

Reference 212

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T11:56:56.035264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42af68fe-1409-4c08-9e13-65a3f0992ed4 · inbound

Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of Gaussianity cites this paper.

Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of Gaussianity Learning subgaussian classes : Upper and minimax bounds

Reference 270

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T02:35:53.833909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.