Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.01258.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:33.497817Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:42:38.977619Z
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 6ef18d61-a2cd-485a-9e4b-e2dbb4782a11 · inbound
ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers cites this paper.
ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:58:33.497817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 456a1a31-bddc-4d14-ade5-db6d5590bd62 · inbound
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias cites this paper.
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:39:55.048091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a83f422-2a15-4872-83ca-a93f410fc314 · inbound
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence cites this paper.
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:00:55.961036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f226550d-9ed6-48ea-858b-4d98beffd732 · inbound
Minimalist Softmax Attention Provably Learns Constrained Boolean Functions cites this paper.
Minimalist Softmax Attention Provably Learns Constrained Boolean Functions Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:21:01.293029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81a63fef-d273-4049-bbc4-1f307019bc24 · inbound
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:42:38.981686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.