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mass_center

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

mass_center appears in the code Syntology harvested for 8 papers, as 3 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 2 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 mass_center 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 1 of the 3 distinct code bodies named mass_center; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 8 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

8 papers shown of 8, newest first; 8 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
PolicyGuard: Towards Test-time and Step-level Adversary (Backdoor) Defense for Reinforcement Learning Agent added by Syntology 2026-06 (from id) openai/multiagent-competition/gym-compete/gym_compete/new_envs/agents/ant_fighter.py 2aaf6c2bab400d9c unverified no licence file found · pointer only
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning 26 May 2024 SafeRL-Lab/Safe-Multi-Objective-MuJoCo/safe-mo-mujoco/humanoid_v4.py 15f107f303a8f1fc ran no licence file found · pointer only
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation 2 May 2024 saferl-lab/safety-mujoco/safety_mujoco/humanoid_v4.py 15f107f303a8f1fc ran no licence file found · pointer only
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning 30 Nov 2022 marc-rigter/1R2R/_1R2R/env/humanoid.py 46bd205700c42f20 unverified MIT (permissive)
Multi-Agent Constrained Policy Optimisation 6 Oct 2021 chauncygu/safe-multi-agent-mujoco/safety_multi_agent_mujoco/safety_ma_mujoco/safety_multiagent_mujoco/humanoid.py 46bd205700c42f20 unverified MIT (permissive)
Safe Continuous Control with Constrained Model-Based Policy Optimization 14 Apr 2021 anyboby/mujoco_safety_gym/mujoco_safety_gym/envs/humanoid.py 46bd205700c42f20 unverified MIT (permissive)
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning 25 Mar 2021 dnandha/mopac/mopac/env/humanoid.py 46bd205700c42f20 unverified MIT (permissive)
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers 24 Jun 2020 JannerM/mbpo/mbpo/env/humanoid.py 46bd205700c42f20 unverified MIT (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