Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using LLMs to Investigate Correlations of Conversational Follow-up Queries with User Satisfaction
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.13166.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:57:57.404478Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T03:06:18.751237Z
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 66d86aca-c23e-47f3-bd3e-981bf6f36a62 · inbound
Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency cites this paper.
Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency Using LLMs to Investigate Correlations of Conversational Follow-up Queries with User Satisfaction
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:57:57.404478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d7b7926-2f60-4200-91a0-88c29cf1772e · inbound
CREST: Curvature-Regulated Event-Centric Sampling for Efficient Long-Video Understanding cites this paper.
CREST: Curvature-Regulated Event-Centric Sampling for Efficient Long-Video Understanding Using LLMs to Investigate Correlations of Conversational Follow-up Queries with User Satisfaction
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:06:18.753188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.