Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.15607.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:33:39.817646Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T23:42:49.963772Z
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 769b032a-cfef-4f3b-a127-20b83ec0a2c7 · inbound
Transformers Meet In-Context Learning: A Universal Approximation Theory cites this paper.
Transformers Meet In-Context Learning: A Universal Approximation Theory How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:33:39.817646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2023c77-287d-44cc-ad13-86f950eecdd7 · inbound
Visual prompting reimagined: The power of the Activation Prompts cites this paper.
Visual prompting reimagined: The power of the Activation Prompts How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:45:53.814111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0c152dbb-d31f-471a-a4b5-feaec62ffcde · inbound
Agentic Transformers Provably Learn to Search via Reinforcement Learning cites this paper.
Agentic Transformers Provably Learn to Search via Reinforcement Learning How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
Reference 44
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T23:42:49.965296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.