Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Networks Learn Statistics of Increasing Complexity
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.04362.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T22:02:58.403878Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T11:34:08.942004Z
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 ac42188b-f446-4d07-b0eb-a42a1abae21b · inbound
A theory of learning data statistics in diffusion models, from easy to hard cites this paper.
A theory of learning data statistics in diffusion models, from easy to hard Neural Networks Learn Statistics of Increasing Complexity
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:34:08.944474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7cc077e5-27bb-49d9-915f-ed4ab2bc624d · inbound
A theory of learning data statistics in diffusion models, from easy to hard cites this paper.
A theory of learning data statistics in diffusion models, from easy to hard Neural Networks Learn Statistics of Increasing Complexity
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T22:02:58.403878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73e94549-0d15-4ebb-8a5e-730c7422e1d8 · inbound
Distributional simplicity bias and effective convexity in Energy Based Models cites this paper.
Distributional simplicity bias and effective convexity in Energy Based Models Neural Networks Learn Statistics of Increasing Complexity
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T02:25:53.721268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0451dd11-e29e-4601-8057-549a46db38ae · inbound
When Are Two Networks the Same? Tensor Similarity for Mechanistic Interpretability cites this paper.
When Are Two Networks the Same? Tensor Similarity for Mechanistic Interpretability Neural Networks Learn Statistics of Increasing Complexity
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T03:19:43.742129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.