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cal_accuracy

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

cal_accuracy appears in the code Syntology harvested for 15 papers, as 8 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 4 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 cal_accuracy 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 8 distinct code bodies named cal_accuracy; 6 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
1ran
6unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 15 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

15 papers shown of 15, newest first; 15 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 3 papers added by Syntology; 2 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
Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger added by Syntology 2026-03 (from id) Mingzhang21/HealHGNN/HealHGNN/utils/eval_utils.py 9dc4838146d93e39 unverified MIT (permissive)
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models added by Syntology 2025-10 (from id) ZhenhHuang/GBN/utils/eval_utils.py 9dc4838146d93e39 unverified no licence file found · pointer only
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection added by Syntology 2025-10 (from id) decisionintelligence/CATCH/ts_benchmark/baselines/catch/utils/tools.py 1a1c47411dbeec1f unverified no licence file found · pointer only
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts 15 Dec 2024 ringbdstack/graphmore/utils.py 36dd622d9ccb4792 unverified no licence file found · pointer only
FilterNet: Harnessing Frequency Filters for Time Series Forecasting 3 Nov 2024 aikunyi/FilterNet/utils/tools.py 3c40a10623118d49 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Spiking Graph Neural Network on Riemannian Manifolds 23 Oct 2024 ZhenhHuang/MSG/utils/eval_utils.py 36dd622d9ccb4792 unverified no licence file found · pointer only
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning 30 May 2024 cmavro/gnn-rag/gnn/evaluate.py e2b0054974cf0526 ran no licence file found · pointer only
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling 20 Feb 2024 Levi-Ackman/Leddam/utils/tools.py 1a1c47411dbeec1f unverified no licence file found · pointer only
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA 24 Oct 2023 mlvlab/NuTrea/src/evaluate.py e2b0054974cf0526 ran MIT (permissive)
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting 15 Oct 2023 liuxu77/unitime/utils/tools.py 1a1c47411dbeec1f unverified Apache-2.0 (permissive)
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters 16 Aug 2023 blacksnail789521/LLM4TS/utils/tools.py 1a1c47411dbeec1f unverified MIT (permissive)
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale 24 May 2021 SymbioticLab/FedScale/fedscale/utils/model_test_module.py 69d05e9ff15832cb unverified Apache-2.0 (permissive)
Molecular Generative Model Based On Adversarially Regularized Autoencoder 13 Nov 2019 gicsaw/ARAE_SMILES/gen_ARAE_QM9.py 1d69617e288c4eb4 unverified BSD-3-Clause (permissive)
arXiv:2024.acl-long.438 Hengrui-Gu/PokeMQA/train_disambiguator.py 91e43f36bd048177 unverified MIT (permissive)
arXiv:2022.findings-emnlp.181 cmavro/ReaRev_KGQA/evaluate.py e2b0054974cf0526 ran 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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