Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding Emergent In-Context Learning from a Kernel Regression Perspective
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.12766.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:05:21.528216Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T17:33:45.304068Z
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 7a66955a-f0fb-4601-889b-b368b7896289 · inbound
What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis cites this paper.
What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis Understanding Emergent In-Context Learning from a Kernel Regression Perspective
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:05:21.528216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56fba14b-c21f-4fa6-89ae-d7b9599c605c · inbound
Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection cites this paper.
Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection Understanding Emergent In-Context Learning from a Kernel Regression Perspective
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:28:42.630545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ab737f1-b80c-47ac-8da8-796a12357884 · inbound
Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks cites this paper.
Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks Understanding Emergent In-Context Learning from a Kernel Regression Perspective
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:45:28.235446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b734d35f-9145-470b-81f5-d541ed561fc3 · inbound
Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior cites this paper.
Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior Understanding Emergent In-Context Learning from a Kernel Regression Perspective
Reference 236
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:16:06.849661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a9ce6f6b-7168-42e6-a5d6-c878d79af165 · inbound
Why LLMs Fail at Causal Discovery and How Interventional Agents Escape cites this paper.
Why LLMs Fail at Causal Discovery and How Interventional Agents Escape Understanding Emergent In-Context Learning from a Kernel Regression Perspective
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:33:45.305555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.