Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.11418.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:10.502845Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T09:32:15.753661Z
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 18a23964-275b-4e23-9960-f69422f7870f · inbound
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting cites this paper.
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:08:10.502845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb836b7c-5ee4-4a7b-950c-907f93d8c0df · inbound
From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.
From Time Series Analysis to Question Answering: A Survey in the LLM Era TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:32:15.757074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3ac1c5e6-c2f6-4389-beeb-22aabe80e861 · inbound
Time Series Augmented Generation for Financial Applications cites this paper.
Time Series Augmented Generation for Financial Applications TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:01:26.120602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.