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compute_mean_std

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

compute_mean_std appears in the code Syntology harvested for 20 papers, as 10 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 19 of the papers; 5 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 compute_mean_std 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 9 of the 10 distinct code bodies named compute_mean_std; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
1ran · fixture could not drive it
5ran
1unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 16 of the 25 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

20 papers shown of 20, newest first; 25 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
Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood 10 Jun 2025 yqpqry/sqog/SQOG.py 8540534c75d0686e ran · our draft was wrong fingerprinted no licence file found · pointer only
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning 7 Mar 2025 identical code first harvested elsewhere 639b4986c270df90 ran · our draft was wrong fingerprinted licence of this copy not recorded
A Graph Neural Network Simulation of Dispersed Systems 2024-12 (from id) rfjd/GNS-DispersedSystems/data-generator/InteractingParticles-Box/stats-calc.py 633b768b1e4bc3cf unverified no licence file found · pointer only
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation 30 Oct 2024 hmomin/CORL-compare/algorithms/finetune/awac.py 4e08ac58e3891cfb ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation 30 Oct 2024 hmomin/CORL-compare/algorithms/finetune/iql.py 639b4986c270df90 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Monomial Matrix Group Equivariant Neural Functional Networks 18 Sep 2024 MathematicalAI-NUS/Monomial-NFN/experiments/data_utils.py 9870adcdf1003523 ran MIT (permissive)
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning 8 Aug 2024 chwoong/LiRE/algorithms/iql.py 639b4986c270df90 ran · our draft was wrong fingerprinted no licence file found · pointer only
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning 17 Jul 2024 liuxhym/edis/algorithms/cal_ql_edis.py 4e08ac58e3891cfb ran · our draft was wrong fingerprinted no licence file found · pointer only
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning 17 Jul 2024 liuxhym/edis/algorithms/iql_edis.py 639b4986c270df90 ran · our draft was wrong fingerprinted no licence file found · pointer only
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning 27 May 2024 conglu1997/SynthER/synther/corl/algorithms/cql.py 4e08ac58e3891cfb ran · our draft was wrong fingerprinted MIT (permissive)
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning 27 May 2024 Jaewoopudding/GTA/corl/shared/utils.py 86f2ca05d53e29f0 ran fingerprinted MIT (permissive)
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning 10 May 2024 battlewen/igdf/algorithms/igdf/igdf.py 639b4986c270df90 ran · our draft was wrong fingerprinted no licence file found · pointer only
RS-Mamba for Large Remote Sensing Image Dense Prediction 3 Apr 2024 walking-shadow/Official_Remote_Sensing_Mamba/change_detection_mamba/utils/dataset_process.py d32effa5747a391c ran no licence file found · pointer only
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage 11 Mar 2024 johnjaejunlee95/xb-maml/datasets/dataset_utils.py bc051c2d87fae1fd ran no licence file found · pointer only
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback 4 Feb 2024 identical code first harvested elsewhere 639b4986c270df90 ran · our draft was wrong fingerprinted licence of this copy not recorded
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library 25 Dec 2023 agi-brain/xuance/xuance/common/offline_util.py c306710732715c0c ran fingerprinted MIT (permissive)
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption 19 Oct 2023 YangRui2015/RIQL/RIQL.py 639b4986c270df90 ran · our draft was wrong fingerprinted no licence file found · pointer only
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness 29 Sep 2023 battlewen/ro2o/algorithms/finetune/awac.py 4e08ac58e3891cfb ran · our draft was wrong fingerprinted no licence file found · pointer only
Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness 29 Sep 2023 battlewen/ro2o/algorithms/finetune/iql.py 639b4986c270df90 ran · our draft was wrong fingerprinted no licence file found · pointer only
Revisiting the Minimalist Approach to Offline Reinforcement Learning 16 May 2023 adamjelley/efficientofflinerl/algorithms/any_percent_bc.py 4e08ac58e3891cfb ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Revisiting the Minimalist Approach to Offline Reinforcement Learning 16 May 2023 adamjelley/efficientofflinerl/algorithms/iql.py 639b4986c270df90 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Synthetic Experience Replay 12 Mar 2023 identical code first harvested elsewhere 4e08ac58e3891cfb ran · our draft was wrong fingerprinted licence of this copy not recorded
CORL: Research-oriented Deep Offline Reinforcement Learning Library 13 Oct 2022 tinkoff-ai/CORL/algorithms/offline/awac.py 4e08ac58e3891cfb ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
A Minimalist Approach to Offline Reinforcement Learning 12 Jun 2021 identical code first harvested elsewhere 4e08ac58e3891cfb ran · our draft was wrong fingerprinted licence of this copy not recorded
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization 20 Mar 2017 aadhithya/AdaIN-pytorch/model.py 5c064a93e7042c2c ran · fixture could not drive it GPL-3.0 (copyleft) · pointer only

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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