Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.05603.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:25.346396Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:41:24.346832Z
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 9a7ff9a7-71eb-4f40-9861-cd592d0103da · inbound
Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations cites this paper.
Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:04:25.346396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a90ef7c-8523-4fb1-984d-13512b347ec1 · inbound
Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders cites this paper.
Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:08:51.648824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c47e4c13-e86e-426d-8f79-26d92c99453f · inbound
NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning cites this paper.
NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:41:24.351717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.