Paper Citation Record · LEDGER

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:39:40.343929Z

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 e914685b-a294-4984-8279-a7a5fb421e2e · inbound

Federated Foundation Models on Heterogeneous Time Series cites this paper.

Federated Foundation Models on Heterogeneous Time Series N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T17:31:06.928101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40710c5c-ddaa-4ce4-8461-fd9fb28c7c62 · inbound

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation cites this paper.

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:27:51.665252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d9fe9c2-ba71-437d-b4f1-057748026f77 · inbound

Forecasting Anonymized Electricity Load Profiles cites this paper.

Forecasting Anonymized Electricity Load Profiles N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:40:02.890070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+00:00.

Observation e4bb2603-d504-43b9-8d22-ce0c780789a6 · inbound

The cost of ensembling: is it always worth combining? cites this paper.

The cost of ensembling: is it always worth combining? N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:48.869799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0e473b0-5800-4d0a-8170-06f06af9857c · inbound

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services cites this paper.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:24.077431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe5e4dc-fc8c-4697-9460-cd7d7be14925 · inbound

N-BEATS-MOE: N-BEATS with a Mixture-of-Experts Layer for Heterogeneous Time Series Forecasting cites this paper.

N-BEATS-MOE: N-BEATS with a Mixture-of-Experts Layer for Heterogeneous Time Series Forecasting N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:32.557825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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.

Observation 6684227a-c984-4b30-b3e0-41d704a85899 · inbound

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models cites this paper.

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:40.343929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.