Paper Citation Record · LEDGER

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.16132.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.16132 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:22:22.844164Z

measured 0 of 1 external citation measurements

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

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verified fuzzy0
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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 7739ec7d-693d-48dc-b547-43eb8a45362b · inbound

Context information can be more important than reasoning for time series forecasting with a large language model cites this paper.

Context information can be more important than reasoning for time series forecasting with a large language model LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T18:22:22.844164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-10T06:31:04.303077+00:00.

Observation 1bb4337e-029b-4281-a8d9-189f96b337f6 · 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 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:27:17.281239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-10T06:31:04.303077+00:00.

Observation d66ff5d9-1eb6-493b-9437-89ff3428ee81 · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:29:00.230591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae7640e-81c8-46c7-9d99-f059b411c12b · inbound

A Survey of AIOps in the Era of Large Language Models cites this paper.

A Survey of AIOps in the Era of Large Language Models LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:36.771792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad484c81-9be1-4fee-9c04-2510a789b24d · inbound

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting cites this paper.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:02.584058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 774b584c-1d8a-482c-aef9-3b3550c429a3 · inbound

Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs cites this paper.

Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:34.426781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

Observation 858fc360-5b1d-4fd9-a112-0d69330ee7ba · inbound

CastFSR: A Fast--Slow--Reflect Agentic Reasoning Framework for Context-Aware Time Series Forecasting cites this paper.

CastFSR: A Fast--Slow--Reflect Agentic Reasoning Framework for Context-Aware Time Series Forecasting LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-08T04:19:17.904361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.