Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the infinite-depth limit of finite-width neural networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.00688.
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 2026-06-27T20:11:41.317769Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:47:22.769509Z
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 fd1b91f0-38b2-4fe5-a159-8fbe4f628173 · inbound
Clustering in pure-attention hardmax transformers and its role in sentiment analysis cites this paper.
Clustering in pure-attention hardmax transformers and its role in sentiment analysis On the infinite-depth limit of finite-width neural networks
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T23:43:38.218786Z
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 df6c4c21-7894-4bdc-ac0b-8cac76795be3 · inbound
How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs cites this paper.
How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs On the infinite-depth limit of finite-width neural networks
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:47:22.771477Z
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.