Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Spectral Methods by Transformers
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.01312.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:01:32.338962Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:16:09.617446Z
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 1f2c86cb-6f51-4f1a-9d1e-2723d05b16e4 · inbound
Transformers and Their Roles as Time Series Foundation Models cites this paper.
Transformers and Their Roles as Time Series Foundation Models Learning Spectral Methods by Transformers
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:01:32.338962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ed2557f-9bf8-4aeb-9b7e-50038db5f801 · inbound
Transformers versus the EM Algorithm in Multi-class Clustering cites this paper.
Transformers versus the EM Algorithm in Multi-class Clustering Learning Spectral Methods by Transformers
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:13:25.090846Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8193d0d-06c2-4a52-88ee-dd373f3e2861 · inbound
Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent cites this paper.
Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent Learning Spectral Methods by Transformers
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:09.619797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.