Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.02872.
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 2026-08-07T11:01:14.267944Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T13:31:25.441496Z
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 2c2f1d6f-4611-49f7-8053-f79997112fb2 · inbound
ConText: Driving In-context Learning for Text Removal and Segmentation cites this paper.
ConText: Driving In-context Learning for Text Removal and Segmentation How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:01:14.267944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c98f7c46-dede-4b3b-8084-af4f288042b5 · inbound
BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models cites this paper.
BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:35:50.970245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82d6af5a-ca42-4f94-a2da-efb7e0655c31 · inbound
Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.
Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:31:25.443148Z
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.