Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.16132.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T05:10:05.608454Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T09:32:16.095866Z
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 9ac31aea-8bc2-46ba-80e7-ba5a59551b7f · inbound
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs cites this paper.
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:22:14.252495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3334e8d5-48a7-4d87-9f09-d8035958484f · 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 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:32:16.099947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 323e567b-cae0-4722-ace0-dfd736d69ed0 · inbound
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning cites this paper.
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:10:05.608454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a76383cc-d41d-4f07-b159-95d329b140ae · inbound
CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting cites this paper.
CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:00:54.853350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.