Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.09008.
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 2026-08-08T13:03:48.751757Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T13:03:49.167198Z
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 6a7659dd-26f6-4bde-9469-83184860ac04 · inbound
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation cites this paper.
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T13:03:49.171991Z
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.
Observation d606b4ff-3f3d-407b-9cca-5db45a14c69e · inbound
Advanced Topic Modeling Techniques for Categorizing Software Vulnerabilities cites this paper.
Advanced Topic Modeling Techniques for Categorizing Software Vulnerabilities LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:15:06.472205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.