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Paper Citation Record · LEDGER

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.12886.

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

pith.paper-citation-record.v1
2201.12886 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:41:30.470868Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:29:56.367951Z

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 ed69c1af-cae6-438f-910a-ab27695a2996 · inbound

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting cites this paper.

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:41:36.110081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T13:41:26.675038Z digest=sha256:662d40b8d765d4e08c2a1443a4fd0828a2e1d0e3daf7dab176aeeaf680fa12a4

Observation cac40cc8-4ecd-4f75-b3b0-c1827a043868 · inbound

Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification cites this paper.

Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T22:41:30.470868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:41:30.470868Z digest=sha256:be18363e1cd448ea3c7683ed9dd894015005aa62991e43d191ea9940a3f30a08

Observation 996d9061-2021-4983-bf9e-8c6caf3d8ffd · inbound

ConTex: Reformulating Counterfactual Generation For Time Series Forecasting cites this paper.

ConTex: Reformulating Counterfactual Generation For Time Series Forecasting N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:18:56.380454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T01:29:51.415145Z digest=sha256:9382ca03829dccb7ccf5f8537dbffd45e11939dd511f3961c537f591707cbeb3

Observation 8b0ed1f4-1a12-41f1-b1d2-8a11730bfe0c · inbound

Pretrained Time-Series Foundation Models for Financial Return Forecasting cites this paper.

Pretrained Time-Series Foundation Models for Financial Return Forecasting N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T15:29:56.369582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T01:35:10.599350Z digest=sha256:4c87458539587cf2df2fa84496adcab55abcc5d4f59f3b16753741392e78888c

Observation 3d37a5e5-6c8a-475c-9022-6445aaf1dc63 · inbound

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

On-Device Adaptive Battery Power Prediction for Electric Vehicles N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 19

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:d536f9ccc42af9cfaf53c4e7d1081747a8c6b9e68066d9875c86d4d835586148