Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.05218.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-19T10:34:40.987583Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T10:37:15.076764Z
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 913f5694-d3a3-4466-a22c-feca79722d92 · inbound
Pre-trained Large Language Models Learn Hidden Markov Models In-context cites this paper.
Pre-trained Large Language Models Learn Hidden Markov Models In-context Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:37:15.078482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.