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Logger

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

Logger appears in the code Syntology harvested for 25 papers, as 25 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 20 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 Logger 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 20 of the 25 distinct code bodies named Logger; 5 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
20ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 14 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

25 papers shown of 25, 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, and the graph's for 2 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. 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
EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning added by Syntology 2026-06 (from id) xiaofangxd/EVOM/evom.py 6c9eab99b324f828 ran no licence file found · pointer only
When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions added by Syntology 2026-04 (from id) sifanexisted/jaxpi2/jaxpi/training.py 4c0c5f40e0b4b0c0 unverified Apache-2.0 (permissive)
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections 29 May 2025 JhuoW/FedAux/models/fedaux/client.py 3267a11712b57f43 unverified no licence file found · pointer only
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning 16 Apr 2025 NUS-CORE/vipo/vipo/OfflineRL-Kit/offlinerlkit/dynamics/vipo_ensemble_dynamics.py 2657d4a21b19c7b2 unverified no licence file found · pointer only
arXiv:2503.11781 2025-03 (from id) gosha20777/cmKAN/cm_kan/ml/models/cm_kan.py 3de1eee462616fe5 ran licence not identified · pointer only
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention 16 Feb 2025 ChengshuaiZhao0/SCALE/simulation/content_analysis_simulation.py 288cc22811b2a887 unverified no licence file found · pointer only
Causal Discovery via Bayesian Optimization 25 Jan 2025 baosws/drbo/drbo/drbo.py 6c20b8e69aa7ebba ran Apache-2.0 (permissive)
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging 18 Oct 2024 PAN083/MambaSCI/cacti/utils/logger.py a14798763595a94c ran no licence file found · pointer only
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning 4 Aug 2024 yhisaki/average-reward-drl/average_reward_drl/algorithms/rvi_sac.py f4d7745cbf416977 ran · metamorphic tier: deterministic no licence file found · pointer only
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning 17 Nov 2023 YUE-FAN/SSB/trainer_sim_ssb.py 4024208f887303d6 ran no licence file found · pointer only
Universal and Transferable Adversarial Attacks on Aligned Language Models 27 Jul 2023 fra31/rlhf-trojan-competition-submission/method/attacks.py a445b00c2e83ec24 ran Apache-2.0 (permissive)
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search 20 May 2023 namansaxena9/ARO-DDPG/cheetah_run/ddpg_model.py 54a47607104f9c47 ran no licence file found · pointer only
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming 28 Jan 2023 snu-mllab/efficient-cnn-depth-compression/utils/dp.py de28451553f99b21 ran MIT (permissive)
MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack 15 Nov 2022 lafeat/mora/mora.py b468449dd9f01141 ran no licence file found · pointer only
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers 31 Oct 2022 cornell-zhang/llm-datatypes/neural_compressor/torch/algorithms/weight_only/gptq.py c1a5aa86dbaf659b ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Realistic Evaluation of Transductive Few-Shot Learning 24 Apr 2022 oveilleux/realistic_transductive_few_shot/src/methods/tim.py c2bb0431f66349c4 ran no licence file found · pointer only
Unsupervised Hashing with Contrastive Information Bottleneck 13 May 2021 qiuzx2/CIBHash/model/CIBHash.py a5f55809f0ced9ca ran MIT (permissive)
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments 20 Jan 2021 aklein1995/exploration_sil_im/rapid/rapid_agent.py ecaf9ce3efa32820 ran MIT (permissive)
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information 8 Apr 2020 karlstratos/ammi/ammi.py 62aafeb07c870d8c ran MIT (permissive)
Federated Continual Learning with Weighted Inter-client Transfer 6 Mar 2020 wyjeong/FedWeIT/models/fedweit/client.py 8509dc40a8932c5b ran no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 yhisaki/average-reward-drl/average_reward_drl/algorithms/sac.py 4aec8353051fa16d ran no licence file found · pointer only
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning 9 Nov 2016 aliengirlliv/teachable/algos/ppo.py 35fc183b2b26ff4a ran MIT (permissive)
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 zeleni9/pytorch-wgan/models/dcgan.py 064cfba85812c032 ran MIT (permissive)
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 daviddcho/supermario/agent.py 908cf1edb8faa4b5 unverified no licence file found · pointer only
Continuous control with deep reinforcement learning 9 Sep 2015 Souphis/mobile_robot_rl/mobile_robot_rl/agents/sac.py 416bd507555ea4fa ran 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