Paper Citation Record · LEDGER

Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.11411.

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

pith.paper-citation-record.v1
2503.11411 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:43:12.734156Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-08T04:14:29.630786Z

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 9774502a-3637-4ca4-ad0f-a513070da8e5 · inbound

Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era cites this paper.

Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:43:12.734156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a915f45-b059-4a82-9fd1-2350b4142c9c · inbound

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models cites this paper.

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T16:49:31.716235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5abba74d-020c-4568-b104-17afdcf7b5b6 · inbound

Parallel Complex Diffusion for Scalable Time Series Generation cites this paper.

Parallel Complex Diffusion for Scalable Time Series Generation Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T02:51:55.787719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7498473b-064a-47d6-88d1-13671099149b · inbound

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning cites this paper.

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:16:54.862970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 809dd6fd-dfc8-412f-981d-d70c48173544 · inbound

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning cites this paper.

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T02:26:14.140867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee8e519-8f4a-4352-97a3-5dd62aa68dfa · inbound

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models cites this paper.

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:56.977379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb060eba-de58-4c0a-b771-f9a6540ad6eb · inbound

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models cites this paper.

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:14:29.632114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 442c5cb9-0282-4654-add1-65f063243f8b · inbound

Learning Spatio-Temporal Foundation Models from Pure Synthetic Data cites this paper.

Learning Spatio-Temporal Foundation Models from Pure Synthetic Data Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T09:50:22.243832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.