Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2503.09656.
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 2026-08-02T12:15:25.302751Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 d01bf843-539d-4793-9d0a-5147a9d3ebbe · inbound
Using LLMs for Explainable, Data-Driven Insight Generation from Time Series cites this paper.
Using LLMs for Explainable, Data-Driven Insight Generation from Time Series LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:15:25.302751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.