Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transformers are Universal In-context Learners
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.01367.
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 2026-08-09T05:16:19.876202Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T10:11:13.750675Z
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 70cbcf87-ee94-4be2-a11c-3c090bc819ec · inbound
Is In-Context Universality Enough? MLPs are Also Universal In-Context cites this paper.
Is In-Context Universality Enough? MLPs are Also Universal In-Context Transformers are Universal In-context Learners
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:16:19.876202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07af8bfa-bd63-407b-97f4-3d0d89e0a35f · inbound
Solving Empirical Bayes via Transformers cites this paper.
Solving Empirical Bayes via Transformers Transformers are Universal In-context Learners
Reference 1943
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:21:58.261166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdbea759-9a17-480e-adf0-c471a07c1ee6 · inbound
Optimization-Inspired Few-Shot Adaptation for Large Language Models cites this paper.
Optimization-Inspired Few-Shot Adaptation for Large Language Models Transformers are Universal In-context Learners
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:24:29.448423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a86f70b7-d493-4a70-b8e7-08bfe6638851 · inbound
Transformers Meet In-Context Learning: A Universal Approximation Theory cites this paper.
Transformers Meet In-Context Learning: A Universal Approximation Theory Transformers are Universal In-context Learners
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:33:37.065976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0835f6f9-cd6f-4519-9c93-aac76bfc3386 · inbound
A Mathematical Explanation of Transformers cites this paper.
A Mathematical Explanation of Transformers Transformers are Universal In-context Learners
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:11:13.753014Z
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.
Observation 5ac357a4-f487-48b7-8f46-301493c3401c · inbound
Continuous transformations of probability measures and their transport representations cites this paper.
Continuous transformations of probability measures and their transport representations Transformers are Universal In-context Learners
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:56:47.240089Z
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.