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get_frequency_modes

Syntologyentry name in harvested coderead from the graph 2026-09-24

get_frequency_modes appears in the code Syntology harvested for 27 papers, as 1 distinct code body found in 27 places (a place is one code body under one paper). At least one of them ran in 27 of the papers; 1 of the code bodies carries a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named get_frequency_modes do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 1 of the 1 distinct code body named get_frequency_modes; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
0unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 27 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

27 papers shown of 27, newest first; 27 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 6 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
An Empirical Benchmark of Deep Time-Series Models for Smart Meter Energy Forecasting added by Syntology 2026-08 (from id) behnazkavoosi/Energy-Time-Series-Library/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity added by Syntology 18 Jun 2026 Meteor-Stars/ASTSF/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing added by Syntology 2026-03 (from id) leejaehoon2016/FinTexTS/forecasting_task/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting added by Syntology 2026-02 (from id) Meteor-Stars/SEMixer/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series added by Syntology 2025-10 (from id) TanQitai/SynTSBench/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
SEMPO: Lightweight Foundation Models for Time Series Forecasting added by Syntology 2025-10 (from id) MAZiqing/FEDformer/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series 12 Jun 2025 blacksnail789521/IMM-TSF/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation 4 May 2025 chenxiliu-hnu/cm2ts/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories 22 Oct 2024 mauricekraus/xlstm-mixer/xlstm_mixer/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning 17 Oct 2024 azencot-group/gatlm/FEDformer/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting 8 Oct 2024 Melmaphother/TimeDART/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
Channel-Aware Low-Rank Adaptation in Time Series Forecasting 24 Jul 2024 tongnie/c-lora/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation 18 Jun 2024 cruiseresearchgroup/xxltraffic/gap/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking 17 Jun 2024 Job-SDF/benchmark/benchmark/multivariate_time_series/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification 24 May 2024 dl4mhealth/medformer/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting 26 May 2024 XiudingCai/MambaTS-pytorch/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective 22 May 2024 vewoxic/fits/layers/FED_FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted Apache-2.0 (permissive)
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting 19 May 2024 CSyyn/VCformer/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting 8 Apr 2024 yhyhyhyhyhy/atfnet/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables 29 Feb 2024 thuml/timexer/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted no licence file found · pointer only
Generative Pretrained Hierarchical Transformer for Time Series Forecasting 26 Feb 2024 icantnamemyself/gpht/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
FreDF: Learning to Forecast in the Frequency Domain 4 Feb 2024 Master-PLC/FreDF/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting 3 Nov 2023 abacusai/forecastpfn/benchmark/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted Apache-2.0 (permissive)
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift 23 Oct 2023 half111/calibration_cds/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting 4 Jul 2023 zhangzw16/SageFormer/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting 22 May 2023 JLDeng/SCNN/layers/FourierCorrelation.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation 18 Apr 2023 sudaada/fearec/recbole/model/layers.py 592ea8b254b006db ran · honoured contract fingerprinted MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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