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Paper Citation Record · LEDGER

Learning Fast and Slow for Online Time Series Forecasting

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.11672.

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

pith.paper-citation-record.v1
2202.11672 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T03:18:04.504155Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:33:30.775237Z

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 c08a831c-39e0-4845-b353-82ef0111b6ae · inbound

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration cites this paper.

Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration Learning Fast and Slow for Online Time Series Forecasting

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:33:30.776736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T14:25:00.789053Z digest=sha256:3cf353c78a3aa0cc90cdf2cfd2f2e3ba3e7870c5e994c90e63f0a5fe78e51f73

Observation b0e45146-7284-45b9-88cb-5c421f95bdd8 · inbound

On-Device Adaptive Battery Power Prediction for Electric Vehicles cites this paper.

On-Device Adaptive Battery Power Prediction for Electric Vehicles Learning Fast and Slow for Online Time Series Forecasting

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-13T03:18:04.504155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:18:04.504155Z digest=sha256:a4ea89a2b4c915b3d8096b096bdfd5899e687e34c5b367aa459c2d3c4293009f