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safe_mean

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

safe_mean appears in the code Syntology harvested for 10 papers, as 7 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 3 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 safe_mean 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 7 distinct code bodies named safe_mean; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
1ran
4unverified
3fingerprinted

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

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. 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
Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization added by Syntology 2026-05 (from id) xy9485/DePPA/summarize_pocket_scores.py f94f32f4d1eba81e ran fingerprinted MIT (permissive)
CalM: A Self-Supervised Foundation Model for Population Dynamics in Calcium Imaging Data added by Syntology 2026-04 (from id) TSuXinH/CalM/model/behavior_decoder/ft_eval.py 9c35fcf4d70f9eb4 unverified no licence file found · pointer only
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts 7 Oct 2022 asahi417/tner/examples/tweetner7_paper/contextual_prediction_analysis.py 9e67989478ee51f3 ran · our draft was wrong fingerprinted MIT (permissive)
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition 9 Sep 2022 identical code first harvested elsewhere 9e67989478ee51f3 ran · our draft was wrong fingerprinted licence of this copy not recorded
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum 21 Jun 2022 jlwu002/bcl/BCL_PPO_Procgen/train_procgen.py 9e4158212d676038 ran · honoured contract fingerprinted no licence file found · pointer only
Counterfactual Shapley Additive Explanations 27 Oct 2021 jpmorganchase/cf-shap-facct22/utils.py bfffd44741ec05c4 unverified Apache-2.0 (permissive)
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering 30 Jun 2021 emprime/dc3/imagenet/training.py e220f362daa9561f unverified Apache-2.0 (permissive)
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL 4 Jun 2021 bmazoure/ctrl_public/train_ppo.py 93ff26fbeba24772 unverified no licence file found · pointer only
Robust Deep Reinforcement Learning through Adversarial Loss 5 Aug 2020 tuomaso/radial_rl_v2/Procgen/eval_procgen.py 9e4158212d676038 ran · honoured contract fingerprinted no licence file found · pointer only
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence 21 Jan 2020 johnchenresearch/SSL/imagenet/training.py e220f362daa9561f 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