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confusion_matrix

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

confusion_matrix appears in the code Syntology harvested for 20 papers, as 18 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 6 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 confusion_matrix 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 5 of the 18 distinct code bodies named confusion_matrix; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
4ran
13unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 20 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

20 papers shown of 20, newest first; 20 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 4 papers added by Syntology; 3 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
Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes added by Syntology 2026-06 (from id) skydancerosel/coactivation-closure/analysis/supervised_vs_unsupervised.py 8c51cbf46667312d ran MIT (permissive)
They Are Not the Same: Direct-Cause Extraction Is Not Grounded Emotion Explanation added by Syntology 2026-05 (from id) panzhzh/ECPExsame/src/iemomecp/metrics.py 91152749a38a71a1 ran MIT (permissive)
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts added by Syntology 2026-05 (from id) UConn-DSIS/DRIFT/metrics.py a115379e55454091 unverified no licence file found · pointer only
Towards Self-Supervised Foundation Models for Critical Care Time Series added by Syntology 2025-09 (from id) rvandewater/YAIB/icu_benchmarks/models/custom_metrics.py 92336a4643e58418 unverified MIT (permissive)
DMTG: One-Shot Differentiable Multi-Task Grouping 6 Jul 2024 ethanygao/DMTG/utils/model_utils.py 0abd470ee2dbde8d ran no licence file found · pointer only
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models 18 Sep 2023 andvg3/Grasp-Anything/models/grasp_det_seg/algos/semantic_seg.py d0d38f526d963bde ran MIT (permissive)
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML 8 Jun 2023 rvandewater/yaib/icu_benchmarks/models/custom_metrics.py 92336a4643e58418 unverified MIT (permissive)
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification 25 Apr 2023 meteoswiss/ldcast/ldcast/analysis/confmatrix.py f2263dfddca0d1e7 unverified Apache-2.0 (permissive)
MidasTouch: Monte-Carlo inference over distributions across sliding touch 2022-10 (from id) facebookresearch/MidasTouch/midastouch/modules/misc.py 5ae8089c0c0789be unverified MIT recorded; this copy not marked cleared · pointer only
Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion 11 Aug 2021 yikaiw/AsymFusion/utils/meter.py be06fe01faab93f9 unverified MIT (permissive)
DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning 25 May 2021 whwu95/DSANet/codes/core/evaluation/accuracy.py f739d3fb27d6f608 unverified MIT (permissive)
Learning Canonical Representations for Scene Graph to Image Generation 16 Dec 2019 roeiherz/CanonicalSg2Im/evaluation/fid.py 590d417a313b8256 unverified MIT (permissive)
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer 26 May 2019 SBU-BMI/quip_cancer_segmentation/training/train_cancer_cnn_Resnet_pretrained.py 7d6c0a054b1320d7 unverified BSD-3-Clause (permissive)
Seamless Scene Segmentation 3 May 2019 gladcolor/seamseg/seamseg/algos/semantic_seg.py d0d38f526d963bde ran BSD-3-Clause (permissive)
ParticleNet: Jet Tagging via Particle Clouds 22 Feb 2019 hqucms/weaver-core/weaver/utils/nn/metrics.py 2279ff8f4830ab0f unverified MIT (permissive)
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning 10 Jan 2018 steve30572/myo_armband/PyTorchImplementation/CWT/evaluate_wavelet_source_network.py 1d0c6f486dfdb97f ran · our draft was wrong fingerprinted GPL-3.0 (copyleft) · pointer only
Fonduer: Knowledge Base Construction from Richly Formatted Data 2017-03 (from id) HazyResearch/fonduer/src/fonduer/learning/utils.py 2fdee79f52206d57 unverified MIT (permissive)
arXiv:Liu_Revealing_Key_Details_to_See_Differences_A_Novel_Prototypical_Perspective_CVPR_2025_paper firework8/ProtoGCN/protogcn/core/evaluation.py b7c2d8fff7c19286 unverified MIT (permissive)
arXiv:Hu_VMNet_Voxel-Mesh_Network_for_Geodesic-Aware_3D_Semantic_Segmentation_ICCV_2021_paper hzykent/VMNet/utils.py b1806740ae7ca640 unverified MIT (permissive)
arXiv:2023.acl-long.782 tenvence/ulra/metrics.py 755bb2f511f4e20b unverified Apache-2.0 (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