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Paper Citation Record · LEDGER

Deep Non-Parametric Time Series Forecaster

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.14657.

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

pith.paper-citation-record.v1
2312.14657 v1

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 2026-08-09T06:31:02.800959+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 2026-05-12T02:06:15.266279Z

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 96ce1526-b944-4b53-add7-138a7466fb93 · inbound

TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting cites this paper.

TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting Deep Non-Parametric Time Series Forecaster

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:06:15.268082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:03:09.116351Z digest=sha256:f12ddbea5b5538c70750a4a609cb111a0d07eef13bcabaf1f96c92746d3b9bde

Observation 0ca9caf4-3604-4b53-87ca-55bfac9c5c43 · inbound

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

On-Device Adaptive Battery Power Prediction for Electric Vehicles Deep Non-Parametric Time Series Forecaster

Reference 17

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=sha256:31ab0e0d8559f7f964af4289e62ab3ad81a8f6da1d9038439e9c3da7bf7ddb86