Paper Citation Record · LEDGER

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2509.10324.

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

pith.paper-citation-record.v1
2509.10324 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:55:54.227868Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:55:54.171229Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71c3cde8-7291-4a29-b6b9-dd0887ff9782 · outbound

This paper cites Time series forecasting has moved beyond simply predicting weather or traffic, and is being used to learn patterns from any data that has an order to produce results.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Time series forecasting has moved beyond simply predicting weather or traffic, and is being used to learn patterns from any data that has an order to produce results

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.167218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b497da5-37e8-4bec-9e1e-f8ab71864b40 · outbound

This paper cites ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.171229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d9abce-1971-46c7-80e7-00bb0dbaea68 · outbound

This paper cites an unresolved cited work.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Unresolved cited work

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-04T17:55:54.175096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19421a85-4a35-4fd5-b9a0-3f23fd4be40b · outbound

This paper cites an unresolved cited work.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.178749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b038c9c4-ac47-4314-9071-20718b3024c4 · outbound

This paper cites Attention is all you need,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Attention is all you need,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.182112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbb02d2-b4da-4759-a236-119ed9178189 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.185874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f9726b-3535-4fe9-a9b9-4f45cf760bba · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.189508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1934c20-82e6-41ec-af17-e9fa7afa0fd7 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Mamba: Linear-time sequence modeling with selective state spaces,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.193390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b2040e4-d9f8-4568-bfe7-ac8453c04942 · outbound

This paper cites In- former: Beyond efficient transformer for long sequence time-series forecasting,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting In- former: Beyond efficient transformer for long sequence time-series forecasting,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.196605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2d1f30-7cbb-44d0-965c-eab7957e67a6 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.200133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c220522c-e8eb-433b-945c-d8f177e78154 · outbound

This paper cites Fedformer: Frequency en- hanced decomposed transformer for long-term series forecasting,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Fedformer: Frequency en- hanced decomposed transformer for long-term series forecasting,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.203186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b98f02-cbbd-4160-b39f-7baccbb3fb82 · outbound

This paper cites Time-moe: Billion- scale time series foundation models with mixture of ex- perts,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Time-moe: Billion- scale time series foundation models with mixture of ex- perts,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.206422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8bc6602-fde3-4bc7-bdc9-6ccc7f120e54 · outbound

This paper cites Mixture of experts for time series foundation models,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Mixture of experts for time series foundation models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.209435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a889ba3-768b-486d-aa99-5367490fdf42 · outbound

This paper cites Are transformers effective for time series forecasting?,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Are transformers effective for time series forecasting?,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.212607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03be440d-a062-48af-acef-c1675854e7c9 · outbound

This paper cites How Much Position Information Do Convolutional Neural Networks Encode?.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting How Much Position Information Do Convolutional Neural Networks Encode?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.215713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8fc7fcd-8b65-41d2-b134-72321deba529 · outbound

This paper cites an unresolved cited work.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.219055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5704db22-ff2e-483a-b0bd-01fbeb49635e · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Modeling long-and short-term temporal patterns with deep neural networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.222028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4adead4-904b-4d4b-8c6f-b3a39dfdd6aa · outbound

This paper cites Reversible in- stance normalization for accurate time-series forecast- ing against distribution shift,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Reversible in- stance normalization for accurate time-series forecast- ing against distribution shift,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.224930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e2004c-d2fb-4a51-b388-e17a12a39cd0 · outbound

This paper cites Adaptive nor- malization for non-stationary time series forecasting: A temporal slice perspective,.

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting Adaptive nor- malization for non-stationary time series forecasting: A temporal slice perspective,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T17:55:54.227868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9b497da5-37e8-4bec-9e1e-f8ab71864b40 · inbound