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grad_norm

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

grad_norm appears in the code Syntology harvested for 24 papers, as 18 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 13 of the papers; 1 of the code bodies carries 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 grad_norm 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 18 distinct code bodies named grad_norm; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

5ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
3ran
9unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 24 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

24 papers shown of 24, newest first; 24 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; 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
A Pre-trained Reaction Embedding Descriptor Capturing Bond Transformation Patterns added by Syntology 2026-01 (from id) kzhoa/RXNEmb/src/rxnemb/core/utils.py 4ac7d304cf608454 unverified MIT (permissive)
Group-robust Machine Unlearning 12 Mar 2025 tdemin16/group-robust_machine_unlearning/method/approaches/miu.py 24f2fa7ba2cd6148 ran · honoured contract no licence file found · pointer only
Electron flow matching for generative reaction mechanism prediction obeying conservation laws 18 Feb 2025 FongMunHong/FlowER/utils/train_utils.py 4ac7d304cf608454 unverified MIT (permissive)
Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis 2024-11 (from id) fishaudio/fish-speech/fish_speech/callbacks/grad_norm.py 0eb12dee5313b7f7 unverified licence not identified · pointer only
Uncertainty-Aware Reward-Free Exploration with General Function Approximation 24 Jun 2024 uclaml/GFA-RFE/utils.py 2478bb95b38ef24f ran MIT (permissive)
Constrained Ensemble Exploration for Unsupervised Skill Discovery 25 May 2024 Baichenjia/CeSD/utils.py 2478bb95b38ef24f ran MIT (permissive)
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning 23 May 2024 thu-ml/CEURL/DMC_image/utils.py 2478bb95b38ef24f ran MIT (permissive)
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning 24 Feb 2024 delta-lab-ai/data_efficient_nopt/train_basic.py 630e6bdb88095b73 ran · honoured contract MIT (permissive)
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization 17 Feb 2024 lowya/how-to-make-the-gradients-small-privately/mod_smallgradients_trig_icml24_V3.py d7244e1449bbaf90 ran CC0-1.0 (permissive)
CR-SAM: Curvature Regularized Sharpness-Aware Minimization 21 Dec 2023 trustaiot/cr-sam/metrics/metrics.py f019eaa51fe8d809 ran no licence file found · pointer only
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning 22 Jun 2023 thuml/SPOT/utils.py 11627c1648d2d281 unverified MIT (permissive)
Behavior Contrastive Learning for Unsupervised Skill Discovery 8 May 2023 Rooshy-yang/BeCL/utils.py 2478bb95b38ef24f ran MIT (permissive)
Avoiding spurious correlations via logit correction 2 Dec 2022 shengliu66/lc/util.py e3c870d0fa6cd1f9 unverified MIT (permissive)
Masked Autoencoding for Scalable and Generalizable Decision Making 23 Nov 2022 fangchenliu/maskdp_public/utils.py 2478bb95b38ef24f ran MIT (permissive)
Ask4Help: Learning to Leverage an Expert for Embodied Tasks 18 Nov 2022 allenai/ask4help/allenact/utils/model_utils.py 939725942599a874 unverified Apache-2.0 (permissive)
Benchmarking Compositionality with Formal Languages 17 Aug 2022 valvoda/neuraltransducer/src/util.py eb97ec33109d48b7 unverified MIT (permissive)
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States 4 Jul 2022 idsia/policyevaluator/core.py 156015d9803ebd8c ran · honoured contract no licence file found · pointer only
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions 17 Mar 2022 zephyr-cai/halpern/Stochastic_Halpern_Estimator.py 51c56578a3da32cb ran · honoured contract fingerprinted MIT (permissive)
Large Batch Experience Replay 4 Oct 2021 xavierchanglingli/regularized-optimal-experience-replay/sac_learner.py 7f72e8b477521aba ran · our draft was wrong MIT (permissive)
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation 27 Sep 2021 amritabh/conda-gen-text-detection/Generated-Text-Detector/RobertaDetect/utils.py 888e3f33daa3fbe0 unverified MIT (permissive)
Towards General Purpose Vision Systems 1 Apr 2021 allenai/gpv-1/exp/gpv/finetune_distr.py debfaa9338e2e751 unverified Apache-2.0 (permissive)
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One 6 Dec 2019 wgrathwohl/JEM/train_wrn_ebm.py a28fb1100053feb0 ran · honoured contract Apache-2.0 (permissive)
A Characteristic Function Approach to Deep Implicit Generative Modeling 16 Sep 2019 crslab/OCFGAN/src/networks.py 6a54e18e9e479881 unverified MIT (permissive)
arXiv:2023.acl-long.736 openai/gpt-2-output-dataset/detector/utils.py 888e3f33daa3fbe0 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".

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