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squared_loss

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

squared_loss appears in the code Syntology harvested for 12 papers, as 5 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 10 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 squared_loss 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 3 of the 5 distinct code bodies named squared_loss; 2 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
2ran
2unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 12 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

12 papers shown of 12, newest first; 12 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 1 papers added by Syntology. 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
FePySR: A Neural Feature Extraction Framework for Efficient and Scalable Symbolic Regression added by Syntology 2026-05 (from id) laixn/FePySR/fepysr/optimization.py 79ac7c4d082c8f49 ran fingerprinted MIT (permissive)
Causal Discovery via Bayesian Optimization 25 Jan 2025 identical code first harvested elsewhere c60cc034e8957e26 ran · our draft was wrong fingerprinted licence of this copy not recorded
Markov Equivalence and Consistency in Differentiable Structure Learning 8 Oct 2024 xunzheng/notears/notears/nonlinear.py c60cc034e8957e26 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
NfgTransformer: Equivariant Representation Learning for Normal-form Games 2024-02 (from id) QB3/discrating/discrating/utils.py deb49abf6e0d418f ran BSD-3-Clause (permissive)
LibAUC: A Deep Learning Library for X-Risk Optimization 5 Jun 2023 Optimization-AI/LibAUC/libauc/losses/surrogate.py 7c4877fce871d8a6 unverified MIT (permissive)
Towards Federated Bayesian Network Structure Learning with Continuous Optimization 18 Oct 2021 ignavierng/notears-admm/notears_admm/linear_admm.py c60cc034e8957e26 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge 9 Sep 2021 identical code first harvested elsewhere c60cc034e8957e26 ran · our draft was wrong fingerprinted licence of this copy not recorded
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization 5 Jun 2021 DMIRLAB-Group/CausalDiscoveryBasedOnEntropy/notears/linear_ent.py c60cc034e8957e26 ran · our draft was wrong fingerprinted no licence file found · pointer only
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning 2 Jun 2021 yunzhe-zhou/sugar/SUGAR/nonlinear_learning.py c60cc034e8957e26 ran · our draft was wrong fingerprinted MIT (permissive)
Neural graphical modelling in continuous-time: consistency guarantees and algorithms 6 May 2021 alexisbellot/Graphical-modelling-continuous-time/NMC.py c60cc034e8957e26 ran · our draft was wrong fingerprinted MIT (permissive)
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? 19 Jun 2020 mindspore-courses/d2l-mindspore/d2l/mindspore.py 50dbc6491aad4f72 unverified MIT (permissive)
Learning Sparse Nonparametric DAGs 29 Sep 2019 identical code first harvested elsewhere c60cc034e8957e26 ran · our draft was wrong fingerprinted licence of this copy not recorded

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