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Paper Citation Record · LEDGER

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2412.12168.

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

pith.paper-citation-record.v1
2412.12168 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:33:17.188071Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

16 of 16 outbound references displayed

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  • verified fuzzy9
  • unresolved7
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 943c4110-8a5a-41f6-8bed-9390c8062184 · outbound

This paper cites Clothing sale forecasting by a composite gru–prophet model with an attention mechanism,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Clothing sale forecasting by a composite gru–prophet model with an attention mechanism,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 608e5544-cb30-497b-bf23-e380edbdb664 · outbound

This paper cites Short term traffic forecast - ing using time series methods,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Short term traffic forecast - ing using time series methods,

Reference 2

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raw_fallback, observed 2026-08-11T17:33:17.436160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 05b81b26-7aba-4411-bd73-090322ef6376 · outbound

This paper cites Arima models to predict next-day electricity prices,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Arima models to predict next-day electricity prices,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b4a4d3c1-89ee-41aa-82c6-3cf9f8b28c21 · outbound

This paper cites Short-term forecasting ionospheric delay over ukm, malaysia, using the holt-winter method,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Short-term forecasting ionospheric delay over ukm, malaysia, using the holt-winter method,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c47bb8ad-720c-4d8f-a852-29c364abd96d · outbound

This paper cites Long short-term memory,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Long short-term memory,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b364a33d-48d6-4504-9d29-746ff5d8b15b · outbound

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

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8900aeeb-5d5d-4b47-99c5-b47c951af6cb · outbound

This paper cites A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 65a62662-1f98-472d-8749-b0ac16dfdbe8 · outbound

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

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Modeling long-and short-term temporal patterns with deep neural networks,

Reference 8

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raw_fallback, observed 2026-08-11T17:33:17.376613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7f483b8d-eb5d-4f38-90f0-906cc159b42d · outbound

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

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 9

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raw_fallback, observed 2026-08-11T17:33:17.359990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3a8f0c09-bd94-4b2c-b87c-d95f500aaa25 · outbound

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

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Autoformer: De- composition transformers with auto-correlation for long- term series forecasting,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6e078ba3-7a89-442f-8814-4c65df28347d · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 2fd6136f-df4f-42af-a1c0-d0df076b4b3a · outbound

This paper cites Micn: Multi-scale local and global con- text modeling for long-term series forecasting,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Micn: Multi-scale local and global con- text modeling for long-term series forecasting,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T17:33:17.322883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 27cc45e7-9d6b-4279-a288-d7ee69c84ec0 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5ba8be53-b359-4a16-ab0f-a3c5f2a35b89 · outbound

This paper cites Analysis and modeling of seasonal time series,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Analysis and modeling of seasonal time series,

Reference 14

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raw_fallback, observed 2026-08-11T17:33:17.306906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c8464afd-5e90-4bbb-845f-c8a77fb6bf82 · outbound

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

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 15

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no resolver link, observed 2026-08-11T17:33:17.183548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fa893177-26c1-41bc-a33a-f81c0a8e0290 · outbound

This paper cites Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,.

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,

Reference 16

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raw_fallback, observed 2026-08-11T17:33:17.279398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.