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add_fit_args

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

add_fit_args appears in the code Syntology harvested for 7 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; 0 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 add_fit_args 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 add_fit_args; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
5ran · our draft was wrong
0ran · fixture could not drive it
0ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 10 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

7 papers shown of 7, 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. 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
Towards the Practical Utility of Federated Learning in the Medical Domain 7 Jul 2022 wns823/medical_federated/skin_cancer_federated/skin_cancer_main.py b8768f20600f3edc ran · our draft was wrong no licence file found · pointer only
ByzShield: An Efficient and Robust System for Distributed Training 10 Oct 2020 identical code first harvested elsewhere ad4da1db77b0c2a2 ran · our draft was wrong licence of this copy not recorded
ByzShield: An Efficient and Robust System for Distributed Training 10 Oct 2020 kkonstantinidis/ByzShield/src/distributed_nn.py 82b80195da259145 ran · our draft was wrong no licence file found · pointer only
Federated Learning with Matched Averaging 15 Feb 2020 IBM/FedMA/language_modeling/language_main.py b7f7a1b9782566a2 ran · our draft was wrong MIT (permissive)
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation 29 Jul 2019 hwang595/DETOX/src/distributed_evaluator.py 3b55ad00f11e2fbf ran · our draft was wrong no licence file found · pointer only
A Little Is Enough: Circumventing Defenses For Distributed Learning 16 Feb 2019 kkonstantinidis/ByzShield/src/distributed_evaluator.py ad4da1db77b0c2a2 ran · our draft was wrong no licence file found · pointer only
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients 27 Mar 2018 hwang595/Draco/src/distributed_evaluator.py 3b55ad00f11e2fbf ran · our draft was wrong MIT (permissive)
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients 27 Mar 2018 hwang595/Draco/src/distributed_nn.py b8d6643e20276b6a unverified MIT (permissive)
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients 27 Mar 2018 hwang595/Draco/src/single_machine.py 98bdc33dfac0b80d unverified MIT (permissive)
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes 22 Mar 2016 likelyzhao/peron_attribute/training/common/fit.py c93eb04d4abde37b 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".

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