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kernelmat

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

kernelmat appears in the code Syntology harvested for 10 papers, as 8 distinct code bodies found in 10 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 kernelmat 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 8 distinct code bodies named kernelmat; 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
1ran · fixture could not drive it
2ran
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 10 places is 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

10 papers shown of 10, newest first; 10 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
LOKI: Memory-Free Null-Space Constrained Lifelong Knowledge Editing added by Syntology 2026-06 (from id) neu-spiral/LOKI/easyeditor/models/loki/loki_main.py ab2cd20fd45e42c5 ran · our draft was wrong MIT (permissive)
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition added by Syntology 2025-10 (from id) neu-spiral/H-SPLID/src/models/split_model.py b41642f800673cde ran · fixture could not drive it Apache-2.0 (permissive)
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks 13 Nov 2024 ntuaislab/trap-mid/loss.py 92265a82f9af90ae ran · our draft was wrong MIT (permissive)
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models 29 Feb 2024 chnq/tracingllm/src/mi_estimators.py f3fd137e74d1312c ran Apache-2.0 (permissive)
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation 15 Jun 2023 tmlr-group/MC-GRA/MC-GRA/hsic.py e3c0f8ba33d86df6 unverified MIT (permissive)
Pruning Adversarially Robust Neural Networks without Adversarial Examples 9 Oct 2022 neu-spiral/pwoa/source/hsicbt/math/hsic.py 882769c04ee627eb unverified MIT (permissive)
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness 4 Jun 2021 neu-spiral/hbar/source/hbar/math/hsic.py 882769c04ee627eb unverified MIT (permissive)
Causal Effect Inference for Structured Treatments 3 Jun 2021 JeanKaddour/GIN/models/building_blocks/hsic_utils.py f79c5f76af695e65 ran fingerprinted no licence file found · pointer only
The HSIC Bottleneck: Deep Learning without Back-Propagation 5 Aug 2019 choasma/HSIC-Bottleneck/source/hsicbt/math/hsic.py 24809ea920bce66a unverified MIT (permissive)
arXiv:2024.findings-acl.290 ChnQ/TracingLLM/src/mi_estimators.py f3fd137e74d1312c ran 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