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Paper Citation Record · LEDGER

TSLANet: Rethinking Transformers for Time Series Representation Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.08472.

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

pith.paper-citation-record.v1
2404.08472 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:35:25.899010Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:19:50.473055Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9f08df83-03ca-458e-80a3-d3d6aa5b95bd · inbound

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting cites this paper.

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:25.899010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:35:25.899010Z digest=sha256:2097ddbcd2e1acf0363ae3ae39932c6253b826abf95377c70683c713d4b1e1d3

Observation 7bdfdd6f-659f-4fd0-8c23-a63cc905ba69 · inbound

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data cites this paper.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T22:44:39.641708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T22:44:39.641708Z digest=sha256:df1cb818ba53166daf8e4d5086cb8cc1828676b780dab437631280a442af90b6

Observation f260c8e7-e2a2-4185-88f1-2ce5ab177fb7 · inbound

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting cites this paper.

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:51:23.423720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T12:49:02.077485Z digest=sha256:e6e8ef1dc8c291e84b5d27487fc4e8b54abcce70f1654897db01130345d49aaa

Observation c52a2bd8-4626-4761-ada1-b129a40d2a4f · inbound

From Observations to States: Latent Time Series Forecasting cites this paper.

From Observations to States: Latent Time Series Forecasting TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:07:39.278025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T09:03:49.988075Z digest=sha256:08d26ed57af9f20b30770bafb2ca33be387a9645032ce3bc930b85b6f3a34e47

Observation ffc35c97-eef1-4bf3-9ffd-2ab50279ec2e · inbound

Modular Retrieval-Augmented Generalization for Human Action Recognition cites this paper.

Modular Retrieval-Augmented Generalization for Human Action Recognition TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:25.818113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T00:56:24.885299Z digest=sha256:11ce75512bb247a42ff8f2dddec79187ae2c7961579f717145324dabc54ac3e4

Observation 341e3c10-5fd8-4ad8-a45f-be9295ddc69f · inbound

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series cites this paper.

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:26:16.635124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T08:25:32.231942Z digest=sha256:58844d18488144ab7b6b33353574c117a56293d71bb582829edc3772a9d6b4ff

Observation ce0dc290-ccf5-4672-bf0c-429cfc963bfc · inbound

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting cites this paper.

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:19:50.474622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T05:22:10.800685Z digest=sha256:6656a49b1436982ca42637118de6ca4f77e63db548d9e396ace78a1b66ce15cc

Observation 0b0a2046-5795-4925-abe3-d3a199cd5bb3 · inbound

See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition cites this paper.

See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-12T06:11:08.642700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:11:08.642700Z digest=sha256:ac8ffab14686b4363f3c04bf80609a3840cc81836ac13aa0d25098185fb98ea5