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Paper Citation Record · LEDGER

A Review of the Long Horizon Forecasting Problem in Time Series Analysis

As of 17 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2506.12809.

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

pith.paper-citation-record.v1
2506.12809 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:10:25.798734Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34f80500-d800-4135-909a-33945c3c19a7 · outbound

This paper cites Effectively Modeling Time Series with Simple Discrete State Spaces.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Effectively Modeling Time Series with Simple Discrete State Spaces

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a20fbf38-dbad-4f38-a999-ea47af57c638 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fdf2549d-76ba-4f6c-8259-5a56d950f097 · outbound

This paper cites Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies

Reference 13

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no resolver link, observed 2026-08-15T20:10:25.777552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5d23614e-cb93-4cba-beb4-4e650462c2e0 · outbound

This paper cites A Multi-Horizon Quantile Recurrent Forecaster.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis A Multi-Horizon Quantile Recurrent Forecaster

Reference 15

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no resolver link, observed 2026-08-15T20:10:25.785251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.785251Z digest=sha256:70d0444fa601b65951fce5a35070c5121ff2ba2a4f4a23bac09d8d3b176cf524

Observation 7ee0bf1a-c9b4-4e2d-adf2-992a5ff36ce4 · outbound

This paper cites CAAI Transactions on Intelligence Technology 7, 129–143.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis CAAI Transactions on Intelligence Technology 7, 129–143

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.789886Z digest=sha256:a3e63b451a8850f36a81e291d79e70a8b1bcfa22e12bc7b56542aa390ef0a3dc

Observation 572a5822-26e5-4cb4-983d-b32e902187d3 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 24

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no resolver link, observed 2026-08-15T20:10:25.764460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.764460Z digest=sha256:57e46280259c7c64582fdccb2d507adabaac2f0f25bf1148db4090da0be2f4cc

Observation 4a7d56f8-d798-4a5f-9a86-0cc6a9221db8 · outbound

This paper cites Deep Independently Recurrent Neural Network (IndRNN).

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Deep Independently Recurrent Neural Network (IndRNN)

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.756520Z digest=sha256:3ac3a89024dce9eb946347f15bddee626b9b9395b6e18d3c6a099f97c65d44be

Observation 6d2bb60e-8372-4d4f-852b-51babdcc5d96 · outbound

This paper cites Journal of Complexity 4, 193–215.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Journal of Complexity 4, 193–215

Reference 1988

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no resolver link, observed 2026-08-15T20:10:25.726695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.726695Z digest=sha256:bfd1f52685d24e30388ac14f8456de0d42d42a83482638315311aec1f31f4c72

Observation 082c5ce0-b8be-4fb9-8be4-37deaa187b46 · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 1992

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.740468Z digest=sha256:7ea98a677f89054519639b3bf47e83d32122ea3eef4b5407d6aa88c5bd81d534

Observation a6175550-89ce-47e8-afc4-80be873ab5a1 · outbound

This paper cites Journal of Business & Economic Statistics 16, 450–458.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Journal of Business & Economic Statistics 16, 450–458

Reference 1998

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verified exact
raw_fallback, observed 2026-08-15T20:10:26.075533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8faad167-7ae1-4ac2-a084-9067d2bcff8c · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 2014

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no resolver link, observed 2026-08-15T20:10:25.735144Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.735144Z digest=sha256:319f94e039a36d2a5ea25b2cedfd8929790f2e2585bfde4efdba03ac773bbd9d

Observation 74694a83-3eef-4cca-a610-27fb1be8fb59 · outbound

This paper cites Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies

Reference 2017

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metadata mismatch
local_arxiv, observed 2026-08-15T20:10:25.983562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:10:25.744282Z digest=sha256:90be4aabc2fca44ed7134748979be638c957e51087067d07b7e3c89b4b80b55b

Observation 6b2c9e26-31c0-4e90-90fb-b50b175ec8c0 · outbound

This paper cites Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks

Reference 2018

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metadata mismatch
local_arxiv, observed 2026-08-15T20:10:25.968004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:10:25.748656Z digest=sha256:9fef57740e87aa6b4ec3fb84021aef18d04582f21a668256f57db487625934cd

Observation acbfc53e-a1ce-4321-ad75-1543f601338d · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 2019

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:25.773123Z digest=sha256:ece8dd80615fe4a04d689535de804d6ea0ec291be524a682f730fee6db90696c

Observation 6a1449c4-516b-44bc-905a-4dedbafb76c2 · outbound

This paper cites Reformer: The Efficient Transformer.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis Reformer: The Efficient Transformer

Reference 2020

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Unavailable: canonical work link unavailable.

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Observation 63c63209-117a-4f21-b4da-0bda2b88ce97 · outbound

This paper cites FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Reference 2021

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no resolver link, observed 2026-08-15T20:10:25.798734Z

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Unavailable: canonical work link unavailable.

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Observation 88944c66-092d-44e3-9f44-66bd9ec0d170 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 2022

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no resolver link, observed 2026-08-15T20:10:25.768412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation db180c7d-d05a-4233-93d0-59edbef0cc2b · outbound

This paper cites https://isip.piconepress.com/publications/book_sections/ 2025/springer/transformers/.

A Review of the Long Horizon Forecasting Problem in Time Series Analysis https://isip.piconepress.com/publications/book_sections/ 2025/springer/transformers/

Reference 2024

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verified fuzzy
raw_fallback, observed 2026-08-15T20:10:26.156517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.