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RSE

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

RSE appears in the code Syntology harvested for 21 papers, as 3 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 2 of the papers; 2 of the code bodies carry 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 RSE 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 2 of the 3 distinct code bodies named RSE; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
2ran
1unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 21 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

21 papers shown of 21, newest first; 21 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 2 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. 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
Extreme Adaptive Transformer for Time Series Forecasting EXTREME ADAPTIVE TRANSFORMER FOR TIME SERIES FORECASTING added by Syntology 2026-07 (from id) sanzexstha/Exformer/utils/metrics.py b40a11875ebd0cd2 unverified Apache-2.0 (permissive)
Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity added by Syntology 18 Jun 2026 Meteor-Stars/ASTSF/layers/Deepar_utils.py f21b44e3cc27fa77 ran fingerprinted no licence file found · pointer only
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting 10 Feb 2025 huangst21/timekan/utils/metrics.py b40a11875ebd0cd2 unverified Apache-2.0 (permissive)
FilterNet: Harnessing Frequency Filters for Time Series Forecasting 3 Nov 2024 wanghq21/MICN/utils/metrics.py b40a11875ebd0cd2 unverified no licence file found · pointer only
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting 31 Oct 2024 shangzongjiang/Ada-MSHyper/utils/metrics.py b40a11875ebd0cd2 unverified no licence file found · pointer only
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting 6 Oct 2024 hank0626/timebridge/utils/metrics.py b40a11875ebd0cd2 unverified MIT (permissive)
Are Self-Attentions Effective for Time Series Forecasting? 27 May 2024 dongbeank/CATS/utils/metrics.py b40a11875ebd0cd2 unverified MIT (permissive)
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing 18 May 2024 chengqingyu/ginar/metric/main_metric.py b40a11875ebd0cd2 unverified no licence file found · pointer only
Learned radio interferometric imaging for varying visibility coverage 14 May 2024 astro-informatics/leia/src/benchmark.py de8ac03496606531 ran fingerprinted no licence file found · pointer only
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting 14 Mar 2024 atik-ahamed/timemachine/TimeMachine_supervised/utils/metrics.py b40a11875ebd0cd2 unverified Apache-2.0 (permissive)
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling 20 Feb 2024 Levi-Ackman/Leddam/utils/metrics.py b40a11875ebd0cd2 unverified no licence file found · pointer only
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction 28 Dec 2023 magics-lab/stanhop/utils/metrics.py b40a11875ebd0cd2 unverified MIT (permissive)
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis 31 Oct 2023 nzl5116190/Basisformer/evaluate_tool.py b40a11875ebd0cd2 unverified no licence file found · pointer only
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting 15 Oct 2023 liuxu77/unitime/utils/metrics.py b40a11875ebd0cd2 unverified Apache-2.0 (permissive)
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting 23 Aug 2023 GRYGY1215/MTPNet/utils/metrics.py b40a11875ebd0cd2 unverified Apache-2.0 (permissive)
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series 16 Aug 2023 scxsunchenxi/test/losses/metrics.py b40a11875ebd0cd2 unverified no licence file found · pointer only
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors 30 May 2023 thuml/Koopa/utils/metrics.py b40a11875ebd0cd2 unverified MIT (permissive)
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect 22 Jul 2022 origamisl/rtnet/utils/metrics.py b40a11875ebd0cd2 unverified Apache-2.0 (permissive)
TiSAT: Time Series Anomaly Transformer 10 Mar 2022 kevaldoshi17/TiSAT/utils/metrics.py b40a11875ebd0cd2 unverified MIT (permissive)
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting 3 Feb 2022 salesforce/etsformer/utils/metrics.py b40a11875ebd0cd2 unverified BSD-3-Clause (permissive)
arXiv:ijcai2025_0747 ChujieXu/CDPNet/utils/metrics.py b40a11875ebd0cd2 unverified 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".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections