Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Provably learning a multi-head attention layer
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.04084.
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 2026-08-07T10:33:35.509713Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:57:29.167982Z
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 f5fee61a-8b01-4b22-9bcd-6d619cbfed03 · inbound
Transformers Meet In-Context Learning: A Universal Approximation Theory cites this paper.
Transformers Meet In-Context Learning: A Universal Approximation Theory Provably learning a multi-head attention layer
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:33:35.509713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56b1e1c8-31ae-4eb2-a06f-9c493c7e724e · inbound
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization cites this paper.
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization Provably learning a multi-head attention layer
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:10:16.973138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0a40042-207e-41fd-babe-981385d2535f · inbound
Tight Sample Complexity of Transformers cites this paper.
Tight Sample Complexity of Transformers Provably learning a multi-head attention layer
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:29.169339Z
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.