Paper Citation Record · LEDGER

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2412.12227.

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

pith.paper-citation-record.v1
2412.12227 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:45:46.744529Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:36:43.068841Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy22
unresolved15
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8797f019-e26a-4b6b-9ed2-27c11b02310b · outbound

This paper cites Deep learning models for time series forecasting: a review.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Deep learning models for time series forecasting: a review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.557919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94fb8428-12db-4d63-b70d-b61285e61099 · outbound

This paper cites Time-series clustering for data analysis in smart grid.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Time-series clustering for data analysis in smart grid

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.540690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 12c58e3f-bbd1-4daf-8422-11afdd1964c8 · outbound

This paper cites A hybrid approach of wavelet transform, arima and lstm model for the share price index futures forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions A hybrid approach of wavelet transform, arima and lstm model for the share price index futures forecasting

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.520548Z

Source-reported events for the cited work

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Observation 65c1334a-9c2c-4c15-8291-23724783ad94 · outbound

This paper cites Transformers in Time Series: A Survey.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Transformers in Time Series: A Survey

Reference 4

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Source-reported events for the cited work

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Observation 47350fa9-1aa5-47b4-99d4-8d3ab6aa1f74 · outbound

This paper cites Multivariate time series forecast- ing using arimax, sarimax, and rnn-based deep learning models on electricity consumption.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Multivariate time series forecast- ing using arimax, sarimax, and rnn-based deep learning models on electricity consumption

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.502235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6afa5643-3620-44b0-a7fe-31421090af01 · outbound

This paper cites Transformers in time-series analysis: A tutorial.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Transformers in time-series analysis: A tutorial

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.485903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 40a7e634-a173-4b6e-b31c-ad86b5e04582 · outbound

This paper cites A transformer-based framework for multivariate time series representation learning.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions A transformer-based framework for multivariate time series representation learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:45:46.596303Z

Source-reported events for the cited work

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Observation bbe23341-cc90-4ec6-9132-8134ddd34aa3 · outbound

This paper cites Multivariate time series forecasting by graph attention networks with theoretical guarantees.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Multivariate time series forecasting by graph attention networks with theoretical guarantees

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.320874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86f64109-ff48-4e4e-9628-a9ec94cb9b24 · outbound

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

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 9

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Source-reported events for the cited work

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Observation 079804d7-cf32-406d-95dd-f7923897ef31 · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023

Reference 10

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Source-reported events for the cited work

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Observation ec1887f6-e652-422e-9368-b41f606ff691 · outbound

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

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Informer: Beyond efficient transformer for long sequence time- series forecasting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.293647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 357bd3fb-3778-4bdf-9094-44914cd4687b · outbound

This paper cites Autoformer: Searching transformers for visual recognition.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Autoformer: Searching transformers for visual recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.274976Z

Source-reported events for the cited work

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Observation af438c02-9a2e-4080-8afb-fdf5c1a2a875 · outbound

This paper cites Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.255561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4520e24e-53a2-4418-b236-bddbae32f91b · outbound

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

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T14:45:46.631115Z

Source-reported events for the cited work

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Observation 84e73f58-37bb-481b-b3b2-3244ca2f9d3b · outbound

This paper cites Reformer: The Efficient Transformer.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Reformer: The Efficient Transformer

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T14:45:46.636048Z

Source-reported events for the cited work

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Observation 26d994ac-e0ba-4601-9c44-637a6bf6c2ac · outbound

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

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.234244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e5513dd-8b9d-4239-8757-2c58fa0fd248 · outbound

This paper cites Crossformer: Trans- former utilizing cross-dimension dependency for multi- variate time series forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Crossformer: Trans- former utilizing cross-dimension dependency for multi- variate time series forecasting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.216595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a29a80de-8178-4bde-88c7-1a0b0d2b0fba · outbound

This paper cites Multi-resolution time-series transformer for long-term forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Multi-resolution time-series transformer for long-term forecasting

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.199438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 84aa08bd-afc5-439c-a434-ddef5d93c63a · outbound

This paper cites ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 19

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Source-reported events for the cited work

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Observation de0585ff-ed6a-4c5c-ad08-a19993b0f637 · outbound

This paper cites Stl: A seasonal-trend decomposition.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Stl: A seasonal-trend decomposition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.183513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ab5d8a2-26a4-40c4-96eb-624fa68d14f6 · outbound

This paper cites A spatio-temporal decomposition based deep neural network for time series forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions A spatio-temporal decomposition based deep neural network for time series forecasting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.166809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0da6194e-6604-47c0-811b-3b4f5670e517 · outbound

This paper cites Forecasting at scale.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Forecasting at scale

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.149007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2aa2bb0-1dca-4d92-b762-d399e779969a · outbound

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

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T14:45:46.678345Z

Source-reported events for the cited work

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Observation ce4ac0a7-936f-4bc7-a543-b8abd9f76cd1 · outbound

This paper cites Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.133055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa423a0c-375e-4037-a654-36c69a8d1e87 · outbound

This paper cites Layer Normalization.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Layer Normalization

Reference 25

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Source-reported events for the cited work

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Observation e934af98-7b87-4e86-9293-e978aca39f16 · outbound

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

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:45:46.692545Z

Source-reported events for the cited work

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Observation ecee4e5a-a3fa-404a-b029-c1d021dde634 · outbound

This paper cites Pems dataset, 2024.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Pems dataset, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.117338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c24c4ba1-d742-4df5-badb-0c21dd00e801 · outbound

This paper cites Sa-timeseries: Self-attention time series models, 2024.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Sa-timeseries: Self-attention time series models, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.102307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adc7d0a4-f9da-4051-86f9-a65603f4e1ee · outbound

This paper cites Non-stationary transformers: Exploring the sta- tionarity in time series forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Non-stationary transformers: Exploring the sta- tionarity in time series forecasting

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.087567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3deed6c9-1cd0-4332-ba2f-39aee296c0bb · outbound

This paper cites ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting

Reference 30

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Source-reported events for the cited work

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Observation 2ed2c576-a80c-46d1-9546-6619357592c0 · outbound

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

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Micn: Multi-scale local and global context modeling for long-term series forecasting

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T14:45:46.715171Z

Source-reported events for the cited work

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Observation 40283fa2-2482-4969-88ed-ae33eedc9934 · outbound

This paper cites A multivariate time series analysis of electrical load forecasting based on a hybrid feature selection approach and explainable deep learning.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions A multivariate time series analysis of electrical load forecasting based on a hybrid feature selection approach and explainable deep learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.063163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6a6a16f-8e73-48e9-8e8f-f2827b4456a0 · outbound

This paper cites Benchmarking deep learn- ing interpretability in time series predictions.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Benchmarking deep learn- ing interpretability in time series predictions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.048227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a43bf3f-d039-413a-91c7-6a6c841df253 · outbound

This paper cites Gradient based Feature Attribution in Explainable AI: A Technical Review.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Gradient based Feature Attribution in Explainable AI: A Technical Review

Reference 34

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Source-reported events for the cited work

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Observation 3a5d0d9a-309d-4fbc-b7f3-402639adc3cd · outbound

This paper cites Explaining anomalies in industrial multivariate time-series data with the help of explainable ai.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Explaining anomalies in industrial multivariate time-series data with the help of explainable ai

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:45:47.022127Z

Source-reported events for the cited work

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Observation ca482a23-d2ca-45c4-b98f-980f5e584557 · outbound

This paper cites Towards a Rigorous Evaluation of Explainability for Multivariate Time Series.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Towards a Rigorous Evaluation of Explainability for Multivariate Time Series

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T14:45:46.738857Z

Source-reported events for the cited work

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Observation c4efd2b4-58ec-49b6-9ed2-747676c06d24 · outbound

This paper cites Temporal Dependencies in Feature Importance for Time Series Predictions.

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions Temporal Dependencies in Feature Importance for Time Series Predictions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T14:45:46.744529Z

Source-reported events for the cited work

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Pith citing papers

Observation 8456d60b-35f1-4b92-a22f-dc6deb4a98bb · inbound

CaReTS: A Multi-Task Framework Unifying Classification and Regression for Time Series Forecasting cites this paper.

CaReTS: A Multi-Task Framework Unifying Classification and Regression for Time Series Forecasting EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T22:36:43.068841Z

Source-reported events for the cited work

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Observation 4e903537-4d6d-402b-9906-01810f50d842 · inbound

A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations cites this paper.

A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:36.964562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.