Paper Citation Record · LEDGER

Are Data Embeddings effective in time series forecasting?

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.20716.

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

pith.paper-citation-record.v1
2505.20716 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:02.770061Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

39 of 39 outbound references displayed

verified exact0
verified fuzzy22
unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7eaf29eb-03b9-4949-b4a7-a016f6574ff9 · outbound

This paper cites Edformer: Embedded decom- position transformer for interpretable multivariate time series predictions, 2024.

Are Data Embeddings effective in time series forecasting? Edformer: Embedded decom- position transformer for interpretable multivariate time series predictions, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:10.483872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9806b6c-475a-41bc-a0d5-469754f93842 · outbound

This paper cites Con- tiformer: Continuous-time transformer for irregular time series modeling.

Are Data Embeddings effective in time series forecasting? Con- tiformer: Continuous-time transformer for irregular time series modeling

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:10.319129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 32c224c7-3d83-4e28-9607-f8d5c661f036 · outbound

This paper cites Pe- riodicity decoupling framework for long-term series forec asting.

Are Data Embeddings effective in time series forecasting? Pe- riodicity decoupling framework for long-term series forec asting

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:10.178602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 244e7393-3f9d-422e-9fa4-4d6238979967 · outbound

This paper cites Pe- riodicity decoupling framework for long-term series forec asting.

Are Data Embeddings effective in time series forecasting? Pe- riodicity decoupling framework for long-term series forec asting

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:09.963125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b106115-2239-4068-85a8-8b4852340fb2 · outbound

This paper cites SOFT S: Efﬁcient multivariate time series forecasting with series-core fusion.

Are Data Embeddings effective in time series forecasting? SOFT S: Efﬁcient multivariate time series forecasting with series-core fusion

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:09.599863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2d728dd-df4a-4a49-b8c1-eabc6d3e4c48 · outbound

This paper cites WITRAN: Water-wave information transmission and recurrent accele ration network for long-range time series forecasting.

Are Data Embeddings effective in time series forecasting? WITRAN: Water-wave information transmission and recurrent accele ration network for long-range time series forecasting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:09.258279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36f48da8-783e-4945-a606-b67f0fa13eb5 · outbound

This paper cites Zha ng, Xiaoming Shi, Pin-Y u Chen, Y uxuan Liang, Y uan-Fang Li, Shirui Pan, and Qingsong Wen.

Are Data Embeddings effective in time series forecasting? Zha ng, Xiaoming Shi, Pin-Y u Chen, Y uxuan Liang, Y uan-Fang Li, Shirui Pan, and Qingsong Wen

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:08.992971Z

Source-reported events for the cited work

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Observation ec785877-7ea8-4425-b0f1-fbfb81c2da58 · outbound

This paper cites V ardrop: Enh ancing training efﬁciency by reducing variate redundancy in periodic time series foreca sting.

Are Data Embeddings effective in time series forecasting? V ardrop: Enh ancing training efﬁciency by reducing variate redundancy in periodic time series foreca sting

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:08.541330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b3ea65f-cb99-4c69-9acf-95aa9b871df0 · outbound

This paper cites Towards localization via data embedding for tabPFN.

Are Data Embeddings effective in time series forecasting? Towards localization via data embedding for tabPFN

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:08.217963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9d9363f-12fd-4ebe-a03d-1079f1246503 · outbound

This paper cites Lagcnn: A fast yet effective model f or multivariate long-term time series forecasting.

Are Data Embeddings effective in time series forecasting? Lagcnn: A fast yet effective model f or multivariate long-term time series forecasting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:07.950717Z

Source-reported events for the cited work

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Observation fcc77bdb-c223-4bee-a88b-b5875d205de4 · outbound

This paper cites Revisiting lo ng-term time series forecasting: An investigation on afﬁne mapping, 2024.

Are Data Embeddings effective in time series forecasting? Revisiting lo ng-term time series forecasting: An investigation on afﬁne mapping, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:07.672151Z

Source-reported events for the cited work

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Observation b8b8b0f2-c778-461a-9fb8-d6388815ad16 · outbound

This paper cites Multivariate time series anomaly detection and interpretation using hie rarchical inter-metric and temporal embedding.

Are Data Embeddings effective in time series forecasting? Multivariate time series anomaly detection and interpretation using hie rarchical inter-metric and temporal embedding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:07.361452Z

Source-reported events for the cited work

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Observation ae963f53-3367-4376-9251-136ba6b2ccfc · outbound

This paper cites Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals.

Are Data Embeddings effective in time series forecasting? Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:00.274072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b44136e-2772-47e0-a54a-6c603b13d4a0 · outbound

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

Are Data Embeddings effective in time series forecasting? iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:00.354715Z

Source-reported events for the cited work

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Observation 66cfb6e5-2d99-4950-a040-0fc6568fda94 · outbound

This paper cites Times2d: Multi-period de- composition and derivative mapping for general time series forecasting.

Are Data Embeddings effective in time series forecasting? Times2d: Multi-period de- composition and derivative mapping for general time series forecasting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:07.017201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dccc9028-1b8b-47cf-aefa-ffe61c776794 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers.

Are Data Embeddings effective in time series forecasting? A time series is worth 64 words: Long-term forecasting with transformers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:06.692807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9fb4d564-3253-4359-b299-c62dd00c19d0 · outbound

This paper cites Ppdformer: Channel-speci ﬁc periodic patch division for time series forecasting.

Are Data Embeddings effective in time series forecasting? Ppdformer: Channel-speci ﬁc periodic patch division for time series forecasting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:06.357783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca3242d1-2868-4f00-a433-999612177e8b · outbound

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

Are Data Embeddings effective in time series forecasting? MICN: Multi-scale local and global context modeling for long-term series forecasting

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:06.151285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0e69f8f-aab4-43cf-a5ce-f55ec30a724e · outbound

This paper cites Zhang, and JUN ZHOU.

Are Data Embeddings effective in time series forecasting? Zhang, and JUN ZHOU

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:05.988319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d26af807-1026-4b7c-86bf-3d6abc88a47f · outbound

This paper cites Timexer: Empowering transformers for time series forecasting with exogenous variables.

Are Data Embeddings effective in time series forecasting? Timexer: Empowering transformers for time series forecasting with exogenous variables

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:05.849237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e19fbf2f-eb06-4f9d-8069-2dad3279d596 · outbound

This paper cites ETSformer: Ex- ponential smoothing transformers for time-series forecas ting, 2023.

Are Data Embeddings effective in time series forecasting? ETSformer: Ex- ponential smoothing transformers for time-series forecas ting, 2023

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:05.704005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c80bd895-743a-41b4-aa78-8bc40cd8f3d2 · outbound

This paper cites Lino: Advancing recursive residual decomposition of linea r and nonlinear patterns for robust time series forecasting, 2025.

Are Data Embeddings effective in time series forecasting? Lino: Advancing recursive residual decomposition of linea r and nonlinear patterns for robust time series forecasting, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:05.634711Z

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Observation 834b0094-eb14-4319-8864-70b040ce6928 · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension depen- dency for multivariate time series forecasting.

Are Data Embeddings effective in time series forecasting? Crossformer: Transformer utilizing cross-dimension depen- dency for multivariate time series forecasting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:05.601194Z

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Observation fbd06ee8-6647-43ed-9899-fead2dfb3d83 · outbound

This paper cites an unresolved cited work.

Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:05.575858Z

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This paper cites an unresolved cited work.

Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 25

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Observation ef8f1900-82b1-4efc-bf41-1b94f983717f · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 26

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Observation 5660712d-00ef-43a1-b50e-9d0d0a396c44 · outbound

This paper cites an unresolved cited work.

Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 27

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Observation d72384c7-0e37-4ae2-bb3c-cc6240ad148c · outbound

This paper cites an unresolved cited work.

Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 28

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Observation d421537a-c899-45dd-8770-e963fda4cbbf · outbound

This paper cites The full implementation is provided in the sup plementary material and the anonymous GitHub repository.

Are Data Embeddings effective in time series forecasting? The full implementation is provided in the sup plementary material and the anonymous GitHub repository

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:04.734443Z

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Observation 3bb3be47-2c37-4070-9708-ddee44295a9e · outbound

This paper cites an unresolved cited work.

Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 30

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Observation 9890d1ac-c582-4dd6-8570-a6a3f33dbb44 · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:04.454610Z

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Observation 1b93cf91-efa2-47c4-975b-f8113a13fe5a · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:04.310482Z

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Observation dfb2028f-fbbe-47ff-902e-530e1bccd0df · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 33

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

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Observation d2c65d50-ca5c-4985-8aea-5f2f7347bf96 · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 35

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Observation e00442d1-a01a-4497-bf1b-d5b11d241009 · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:03.610360Z

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Observation fcbbf747-8425-475e-947a-bba4c5ae6c21 · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 37

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Observation 1254537d-690d-41d4-be4a-4d97be18c108 · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 38

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Observation 4c3ba215-6437-4987-874d-6c84dd3ca411 · outbound

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Are Data Embeddings effective in time series forecasting? Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:03.001876Z

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Pith citing papers

No inbound Pith citation observations are available.