Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.02332.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:25:42.282341Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T12:57:52.394993Z
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 2d5c0379-91f1-4166-b2c2-c82680c04545 · inbound
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method cites this paper.
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:25:42.282341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae963f53-3367-4376-9251-136ba6b2ccfc · inbound
Are Data Embeddings effective in time series forecasting? cites this paper.
Are Data Embeddings effective in time series forecasting? Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:52:00.274072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2cd51e4-61da-44a6-a422-f9e38662471b · inbound
CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables cites this paper.
CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:57:52.471758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.