Paper Citation Record · LEDGER

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services

As of 8 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2507.12908.

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

pith.paper-citation-record.v1
2507.12908 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

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measured 67 of 67 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T17:27:02.115346Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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Outbound references

Observation 22fa1a8f-7750-4e76-b356-7c8a47e4b0e2 · outbound

This paper cites an unresolved cited work.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 1

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 2

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Observation 58d1dd67-b5a7-4103-800e-e2dca0572ca1 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 3

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 4

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 5

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 6

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This paper cites N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Reference 7

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This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 8

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 9

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 10

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 11

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 12

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 16

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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This paper cites Adam: A Method for Stochastic Optimization.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Adam: A Method for Stochastic Optimization

Reference 19

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This paper cites Reformer: The Efficient Transformer.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Reformer: The Efficient Transformer

Reference 20

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters

Reference 27

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 30

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 36

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Jensen, Zhenli Sheng, and Bin Yang

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services workload forecasting and resource management models based on machine learning for cloud computing environments

Reference 42

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Sundararajan

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services 2018.Energy efficient dynamic virtual machine allocation with CPU usage prediction in cloud datacenters

Reference 47

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Reference 48

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 50

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services FITS: Modeling Time Series with $10k$ Parameters

Reference 53

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Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

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This paper cites an unresolved cited work.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services Unresolved cited work

Reference 56

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