Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.16312.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:37:04.171983Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T20:20:12.169753Z
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 aa1e59fe-80dc-4280-a660-151f7d97d819 · inbound
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting cites this paper.
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:37:04.171983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 283afa59-0d0b-4c67-9ddf-27d4a8cb1a74 · inbound
Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection cites this paper.
Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:20:12.171674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4805fe99-ff0d-45cc-af0e-38906244bae5 · inbound
Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework cites this paper.
Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
Reference 173
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T19:49:56.228668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.