Paper Citation Record · LEDGER

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2001.08317.

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

pith.paper-citation-record.v1
2001.08317 v1

Coverage vector

measured 0 of 0 reference resolution

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measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:13:35.644153Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T02:07:43.892549Z

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Outbound references

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Pith citing papers

Observation 7365a8b9-3ee7-4f95-aae6-03e214aa14e1 · inbound

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting cites this paper.

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 77

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Observation 53419271-83ba-4a4a-b952-69904a5f5526 · inbound

Predicting Human Brain States with Transformer cites this paper.

Predicting Human Brain States with Transformer Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 27

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Observation a7fee9b3-b3c0-4df3-ae2f-f0b085645300 · inbound

Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future cites this paper.

Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 100

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Observation 68efd510-24d3-4190-86cd-05285199dd41 · inbound

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation cites this paper.

TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 6

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Observation c072cd0e-f8ac-424d-8448-872d62d0c1ef · inbound

Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs cites this paper.

Spatially-Enhanced Temporal Fusion Transformer: Interpretable Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 48

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Observation 4f25ed14-f44b-43f8-84a7-0d0568855190 · inbound

Self-supervised Learning Method Using Transformer for Multi-dimensional Sensor Data Processing cites this paper.

Self-supervised Learning Method Using Transformer for Multi-dimensional Sensor Data Processing Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 29

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Observation dbca421f-eab3-4d9f-9d0c-eccd33c13683 · inbound

Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection cites this paper.

Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 9

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Observation 6fdca84f-81d9-4bb1-ad35-96855ceda072 · inbound

Diffusion Models for Time Series Forecasting: A Survey cites this paper.

Diffusion Models for Time Series Forecasting: A Survey Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 36

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Observation 9f49a7b0-dfa6-4c18-8740-dbb1c5c01c35 · inbound

Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities cites this paper.

Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 31

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Observation ff1fc766-da79-4e6d-9338-4297bbb11ed0 · inbound

Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems cites this paper.

Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:10:54.464704Z

Source-reported events for the cited work

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Observation ddf117fa-162a-4ee0-8b0e-976dc28bc5a7 · inbound

Attention-Guided Dual-Stream Learning for Group Engagement Recognition: Fusing Transformer-Encoded Motion Dynamics with Scene Context via Adaptive Gating cites this paper.

Attention-Guided Dual-Stream Learning for Group Engagement Recognition: Fusing Transformer-Encoded Motion Dynamics with Scene Context via Adaptive Gating Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 27

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Observation 16979e7b-07aa-4ecf-b4ea-1c01d1874e85 · inbound

Visual Chart Representations for Cryptocurrency Regime Prediction: A Systematic Deep Learning Study cites this paper.

Visual Chart Representations for Cryptocurrency Regime Prediction: A Systematic Deep Learning Study Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 7

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Observation 04964352-4d11-4cee-8aa4-0ed45c458248 · inbound

Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution cites this paper.

Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 45

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Observation aae2011f-2023-44b3-9a13-b9aecd6bdc8a · inbound

EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting cites this paper.

EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:42:03.883845Z

Source-reported events for the cited work

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Observation 4e9c80e3-8d9a-4751-b417-5147983728a5 · inbound

NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts cites this paper.

NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-11T02:07:43.923778Z

Source-reported events for the cited work

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Observation cf8c2c38-d66e-47a6-8ee9-f903c73ff26f · inbound

A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods cites this paper.

A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T22:35:52.423288Z

Source-reported events for the cited work

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Observation 67b03737-01cc-443c-a2bd-52c3ffbae29f · inbound

A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility cites this paper.

A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-31T08:38:01.289092Z

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Observation 890e5c21-ce99-4338-8869-5a4bdd575e15 · inbound

QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting cites this paper.

QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T05:34:01.754557Z

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Observation d89f1d04-7dc5-400d-9700-cfe145f9c841 · inbound

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models cites this paper.

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:40.523229Z

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Unavailable: canonical work link unavailable.