Paper Citation Record · LEDGER

Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2106.13008.

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

pith.paper-citation-record.v1
2106.13008 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:12:26.748499Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:57:05.504072Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ae56f312-9026-4b94-b25e-4f00ffc1c39b · inbound

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection cites this paper.

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:47:11.662926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b31582e-d6f8-4831-a4f4-a39030f2e9ea · inbound

Time Series Foundation Models for Multivariate Financial Time Series Forecasting cites this paper.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:24.409801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f73abe26-61bd-4f23-8b5f-7229a0525f05 · inbound

Foundation Models for Clean Energy Forecasting: A Comprehensive Review cites this paper.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T11:06:13.887679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53de442e-aab7-42af-8319-810f8d2aec72 · inbound

FinCast: A Foundation Model for Financial Time-Series Forecasting cites this paper.

FinCast: A Foundation Model for Financial Time-Series Forecasting Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T15:45:38.464840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7468e32f-ac55-49f6-8f29-f7f057af91ec · inbound

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

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:51:23.453404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e862459-b2cb-4141-ad29-729314eae227 · inbound

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:24:21.562327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02d6c649-85fc-4e5e-b2ae-0e68c6d7fb17 · inbound

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:46.691621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7ccb8b3-b840-4fd0-87ac-01a9b2281298 · inbound

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis cites this paper.

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:39:03.436426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7377e9a7-8d6e-4a03-97ba-0fed1e4c9e99 · inbound

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis cites this paper.

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:20:29.088945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b21bda75-4011-46d8-b93b-4e31d226f25e · inbound

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis cites this paper.

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T20:16:41.451376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b136db17-f165-4324-98f9-5ae128a064fa · inbound

Neural CDEs as Correctors for Learned Time Series Models cites this paper.

Neural CDEs as Correctors for Learned Time Series Models Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:28:41.085695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c940109-0389-4e69-ae07-1297dc9ca2c5 · inbound

MR-ImagenTime: Multi-Resolution Time Series Generation through Dual Image Representations cites this paper.

MR-ImagenTime: Multi-Resolution Time Series Generation through Dual Image Representations Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:17:58.915764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ed60f99-3538-472f-bea2-d0388d587b5b · inbound

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series cites this paper.

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:52.352423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c38d9b0-96ef-4cd2-a2fb-c67795c2c409 · inbound

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series cites this paper.

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:39.488422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2ad971b-eff8-45cb-b472-b9af841b8e3f · inbound

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting cites this paper.

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.527560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 999f46e7-79ea-48ad-9453-40cd7b23a0aa · inbound

Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates cites this paper.

Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T19:41:55.651993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29550a86-7c29-4f48-9532-e4430c7a87fa · inbound

RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting cites this paper.

RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T10:57:05.505450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea22b2ff-6a76-49db-b364-c652d622cba3 · inbound

CAMP: A Cycle-Aware Multi-Scale Patch Mixer for Time Series Forecasting cites this paper.

CAMP: A Cycle-Aware Multi-Scale Patch Mixer for Time Series Forecasting Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T00:50:44.671616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf16480-ef97-46ae-baac-564c36234e5f · inbound

When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series cites this paper.

When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T10:12:26.748499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.