Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.04975.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:30:19.571577Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:38:43.353026Z
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 62c4d8ca-622a-4911-abd4-298dc06323bb · inbound
Creating a Cooperative AI Policymaking Platform through Open Source Collaboration cites this paper.
Creating a Cooperative AI Policymaking Platform through Open Source Collaboration UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:21:23.470246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed509bb4-1c23-4d95-8e9d-548d67397f82 · inbound
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding cites this paper.
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:30:19.571577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ba7c2e3-7ce3-4333-95eb-27db8212ec88 · inbound
Temporal Query Network for Efficient Multivariate Time Series Forecasting cites this paper.
Temporal Query Network for Efficient Multivariate Time Series Forecasting UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:28:50.150896Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d94d773-e5cf-4c57-bd2b-18cbd4d7cc7d · inbound
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting cites this paper.
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:25:34.191468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 254cea05-6e1b-4f4f-baec-1181a70c01f8 · inbound
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
Reference 138
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T17:38:43.354469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.