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WeightedL2

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

WeightedL2 appears in the code Syntology harvested for 8 papers, as 8 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 8 of the papers; 6 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 WeightedL2 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 8 of the 8 distinct code bodies named WeightedL2; 0 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
8ran
0unverified
6fingerprinted

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 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
Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints added by Syntology 18 Mar 2026 wadx2019/qvpo/agent/qvpo.py 3b2b8b659d67b0af ran fingerprinted MIT (permissive)
Offline Reinforcement Learning with Generative Trajectory Policies added by Syntology 2025-10 (from id) wmd3i/gtp/agents/diffusion.py 56917a389275eaae ran fingerprinted no licence file found · pointer only
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL 11 Feb 2024 rlatjddbs/SSD/dc/dc.py 264959cf75b98c11 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning 9 Oct 2023 felix-thu/DiffCPS/agents/diffcps.py 1b472abd57f98492 ran fingerprinted Apache-2.0 (permissive)
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning 29 Sep 2023 quantumiracle/consistency_model_for_reinforcement_learning/agents/consistency.py 04bd445ebe6af984 ran fingerprinted Apache-2.0 (permissive)
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning 29 May 2023 jannerm/diffuser/diffuser/models/diffusion.py 63bb8b129db38dfb ran MIT (permissive)
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks 27 Oct 2022 ezhang7423/language-control-diffusion/src/lcd/models/diffusion.py 33d5229f504bb6ae ran · metamorphic tier: deterministic MIT (permissive)
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning 12 Aug 2022 zzmtsvv/rl_task/diffusion_ql/dql.py 480e0c2c2219727e ran fingerprinted no licence file found · 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".

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