Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Does learning the right latent variables necessarily improve in-context learning?
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.19162.
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 2026-08-10T20:15:28.359605Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T19:33:22.386221Z
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 a7a968ba-088e-42e7-88eb-6634513736ba · inbound
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations cites this paper.
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations Does learning the right latent variables necessarily improve in-context learning?
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:33:22.388380Z
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 f72d7590-7a4c-4ee1-963e-25583ad2b92f · inbound
Task Vectors in In-Context Learning: Emergence, Formation, and Benefit cites this paper.
Task Vectors in In-Context Learning: Emergence, Formation, and Benefit Does learning the right latent variables necessarily improve in-context learning?
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:15:28.359605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5763f258-be75-44b1-9827-cc292dce71bb · inbound
Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective cites this paper.
Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective Does learning the right latent variables necessarily improve in-context learning?
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:48:41.127955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.