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Paper Citation Record · LEDGER

Darts: User-Friendly Modern Machine Learning for Time Series

As of 19 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.03224.

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

pith.paper-citation-record.v1
2110.03224 v3

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 2026-07-19T06:30:13.599613+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T07:31:19.400787Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 53b24672-3ee0-4b9a-b3f8-10c41b64f2d4 · inbound

Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models cites this paper.

Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models Darts: User-Friendly Modern Machine Learning for Time Series

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:32:31.348383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-16T07:31:19.400787Z digest=sha256:6b707c794a66626ef3efdd596d6eafa2fe9c64797638728fbe4ffdefd1d70ba1

Observation 5d17b57a-2af0-4f73-85a7-d74adeb54741 · inbound

Degradation-aware Predictive Energy Management for Fuel Cell-Battery Ship Power System with Data-driven Load Forecasting cites this paper.

Degradation-aware Predictive Energy Management for Fuel Cell-Battery Ship Power System with Data-driven Load Forecasting Darts: User-Friendly Modern Machine Learning for Time Series

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:49:55.520546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-10T10:45:14.017532Z digest=sha256:3584d24aee20d2c61ff6465b79b974f7308752e313512e33ba11b95b2e9cad15