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covariance

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

covariance appears in the code Syntology harvested for 9 papers, as 7 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 4 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 covariance 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 4 of the 7 distinct code bodies named covariance; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
2ran
3unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 9 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

9 papers shown of 9, newest first; 9 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. 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
Singer Identity Representation Learning using Self-Supervised Techniques 10 Jan 2024 SonyCSLParis/ssl-singer-identity/singer_identity/losses.py 3b932b18b287d638 ran fingerprinted MIT (permissive)
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion 19 Aug 2023 yushu-li/owttt/imagenet/utils/offline.py f872e8da97313523 ran fingerprinted MIT (permissive)
Sharp Spectral Rates for Koopman Operator Learning 3 Feb 2023 Machine-Learning-Dynamical-Systems/kooplearn/src/kooplearn/_linalg.py 29532cdf3f0299d4 unverified MIT (permissive)
Learning dynamical systems: an example from open quantum system dynamics 12 Nov 2022 CSML-IIT-UCL/kooplearn/src/kooplearn/_linalg.py 29532cdf3f0299d4 unverified MIT (permissive)
NashAE: Disentangling Representations through Adversarial Covariance Minimization 21 Sep 2022 ericyeats/nashae-beamsynthesis/ae_utils_exp.py d7509d4176014cc1 ran · our draft was wrong fingerprinted MIT (permissive)
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering 6 Jun 2022 Gorilla-Lab-SCUT/TTAC/cifar/discrepancy.py f872e8da97313523 ran fingerprinted MIT (permissive)
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds 5 Aug 2020 vlievin/ovis/ovis/analysis/utils.py f6b66fec0aad6e85 unverified MIT (permissive)
Graph topology inference benchmarks for machine learning 16 Jul 2020 cadurosar/benchmark_graphinference/generate_graph.py 2e949edefabbe743 unverified MIT (permissive)
Deep CORAL: Correlation Alignment for Deep Domain Adaptation 6 Jul 2016 kevinmusgrave/pytorch-adapt/src/pytorch_adapt/layers/coral_loss.py 9e5d22eb6001e5ea ran · our draft was wrong 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".

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