Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Understanding the Universality of Transformers for Next-Token Prediction
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.03011.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T14:46:53.510044Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T14:53:31.276880Z
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 89b5dd5a-e467-47dd-84d7-3368b8fbc231 · inbound
Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression cites this paper.
Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression Towards Understanding the Universality of Transformers for Next-Token Prediction
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:19.400852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 35b5ad62-6471-426a-bf27-311e7ce8e250 · inbound
Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression cites this paper.
Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression Towards Understanding the Universality of Transformers for Next-Token Prediction
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:29:09.461804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0ee8fbc7-42c6-4fd7-8dc2-f23190427332 · inbound
Measure-to-measure Regression with Transformers cites this paper.
Measure-to-measure Regression with Transformers Towards Understanding the Universality of Transformers for Next-Token Prediction
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T14:53:31.278659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.