Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.10616.
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 2026-08-07T20:21:58.281707Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7e9ee96f-97da-43e1-a329-d31deb43440a · inbound
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Reference 203
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:35:02.241444Z
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 fb91d0a5-84e5-4cb0-8bb1-fd32914ba98d · inbound
Solving Empirical Bayes via Transformers cites this paper.
Solving Empirical Bayes via Transformers How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:21:58.281707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 371d5abd-36dd-454a-a5e3-c3930026e809 · inbound
Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models cites this paper.
Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:40:55.541675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f4a86d2-014e-4b5f-ad84-bbf27d52412f · 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 How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:09.667347Z
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 1cb11be9-fc9f-44cc-afe5-f4c46127b205 · inbound
Looped Transformers with Layer Normalization Provably Learn the Power Method cites this paper.
Looped Transformers with Layer Normalization Provably Learn the Power Method How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T19:22:35.256532Z
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.