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Paper Citation Record · LEDGER

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.02011.

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

pith.paper-citation-record.v1
2505.02011 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:08:58.188084Z

measured 25 of 25 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 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

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 296fe804-b8be-44a6-b419-3700e0f8c328 · outbound

This paper cites Representation learning: A review and new perspectives.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Representation learning: A review and new perspectives

Reference 1

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Observation 70da4462-82a5-48ce-bb9e-2c63747b8ed4 · outbound

This paper cites Synthetic data in health care: A narrative review.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Synthetic data in health care: A narrative review

Reference 4

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Observation f8cced66-8dca-45a1-9b64-3514e41c3451 · outbound

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

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Softs: Efficient multivariate time series forecasting with series-core fusion

Reference 5

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Observation 69aeda71-e51f-4626-ba34-08d19e11545f · outbound

This paper cites Synthetic Data in AI: Challenges, Applications, and Ethical Implications.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 7

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Source-reported events for the cited work

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Observation 441a0e98-ad2b-4e99-861f-0fdb1ce8aaf2 · outbound

This paper cites Spatio-temporal self-supervised learning for traffic flow prediction.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Spatio-temporal self-supervised learning for traffic flow prediction

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 023c7049-d754-4c5e-b80e-a40fdbb4371b · outbound

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

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Modeling long-and short-term temporal patterns with deep neural networks

Reference 9

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Source-reported events for the cited work

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Observation 9e4027eb-18bb-426f-9896-910b89ae7c4e · outbound

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

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting A time series is worth 64 words: Long-term forecasting with transformers

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cb813348-6322-49ec-adf7-b48e7581404c · outbound

This paper cites Attention is all you need.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Attention is all you need

Reference 12

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Source-reported events for the cited work

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Observation 7370c92e-d2dd-4a7a-a33b-9fc7b04179d4 · outbound

This paper cites Re- vitalizing multivariate time series forecasting: Learnable decomposition with inter-series dependencies and intra- series variations modeling.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Re- vitalizing multivariate time series forecasting: Learnable decomposition with inter-series dependencies and intra- series variations modeling

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2fa04a4f-15fa-4e63-94eb-b1f462d07529 · outbound

This paper cites Are transformers effective for time series fore- casting? In Proceedings of the AAAI conference on artifi- cial intelligence, volume 37, pages 11121–11128,.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Are transformers effective for time series fore- casting? In Proceedings of the AAAI conference on artifi- cial intelligence, volume 37, pages 11121–11128,

Reference 17

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Source-reported events for the cited work

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Observation e4826069-3b16-4e29-8546-b85a154b7fc8 · outbound

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

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Crossformer: Transformer utilizing cross-dimension de- pendency for multivariate time series forecasting

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6dcef422-7199-4f63-a8dd-9bd30f36349c · outbound

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

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 19

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Source-reported events for the cited work

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Observation 4c6eb6fb-f586-4c8f-8c57-0dc16ae581b3 · outbound

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

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Fedformer: Fre- quency enhanced decomposed transformer for long-term series forecasting

Reference 20

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Observation ecc1d8d5-d9a4-4991-a303-f3d2312893fe · outbound

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CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Unresolved cited work

Reference 21

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Observation deede4ff-9ad3-4b66-99da-d7a12cca0011 · outbound

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CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Unresolved cited work

Reference 23

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Observation 24753e9d-7bc7-41a9-8ce6-b9610cbc1ed9 · outbound

This paper cites Dimensions denotes the number of vari- ate in each dataset.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Dimensions denotes the number of vari- ate in each dataset

Reference 25

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Observation e2e3f945-4800-4599-84f4-570fe1cdb8db · outbound

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

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 2013

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Observation 532bbb9e-cb7c-4f93-b235-160d2c1e99bc · outbound

This paper cites • Solar-Energy: It captures solar power generation data from 137 photovoltaic plants in 2006, sampled every 10 minutes.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting • Solar-Energy: It captures solar power generation data from 137 photovoltaic plants in 2006, sampled every 10 minutes

Reference 2014

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Source-reported events for the cited work

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Observation d2ab5482-fc8b-4d13-b75c-b323bd053231 · outbound

This paper cites Autoformer: Decomposition transform- ers with auto-correlation for long-term series forecast- ing.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Autoformer: Decomposition transform- ers with auto-correlation for long-term series forecast- ing

Reference 2016

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Observation 030f80a3-53d1-4344-b12b-875123f6e4c0 · outbound

This paper cites Deep kernel learn- ing.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Deep kernel learn- ing

Reference 2017

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c9748ed4-b51a-4cfc-a75a-aae6f6e2e5c5 · outbound

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CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Unresolved cited work

Reference 2018

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c893e88c-4c41-4132-ad31-38affa394546 · outbound

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

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c742f2c4-b4a9-415a-9a54-78408c938b20 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting itransformer: Inverted transformers are effective for time series forecasting

Reference 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4ffe70ee-fd5c-4165-82b6-8201fce3f6b8 · outbound

This paper cites Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Tsmixer: Lightweight mlp-mixer model for multivariate time series forecasting

Reference 2023

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9fd5d000-f0f7-4925-a501-29c4cc285886 · outbound

This paper cites Synthetic data in ai: Chal- lenges, applications, and ethical implications.

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting Synthetic data in ai: Chal- lenges, applications, and ethical implications

Reference 2024

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.