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val

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

val appears in the code Syntology harvested for 24 papers, as 26 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 8 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 val 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 26 distinct code bodies named val; 17 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

6ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
2ran
17unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 27 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; 27 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; 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
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning 26 Jun 2024 RomanBresson/KAGNN/graph_classification/graph_classification_utils.py 9d8a6d700a2e387a ran no licence file found · pointer only
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization 21 Jun 2024 log-postech/rethinking-llm-pruning/lib/llama/finetune.py c8b35875f810484d unverified no licence file found · pointer only
Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model 13 Jun 2024 LooKing9218/RetiZero/Finetuning.py 30240001cf3459dc ran · fixture could not drive it no licence file found · pointer only
Latent Neural Operator for Solving Forward and Inverse PDE Problems 6 Jun 2024 l-i-m-i-t/latentneuraloperator/LNO-PyTorch/ForwardProblem/exp.py 7101f7fa241b749a unverified MIT (permissive)
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs 19 Feb 2024 sunggo/ebft/lib/finetune.py dbd588c5078a3bc9 unverified no licence file found · pointer only
Homomorphism Counts for Graph Neural Networks: All About That Basis 13 Feb 2024 ejin700/hombasis-gnn/qm9/src/experiments/run_gc.py 49732bab8713a245 ran · honoured contract MIT (permissive)
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization 26 Sep 2023 gorilla-lab-scut/tribe/train_mnist.py f787337c5aaa6127 ran no licence file found · pointer only
PubChemQC B3LYP/6-31G*//PM6 dataset: the Electronic Structures of 86 Million Molecules using B3LYP/6-31G* calculations 29 May 2023 prescient-design/nebula/nebula/train_latent.py 7bf5ba7073f803fc unverified Apache-2.0 (permissive)
PubChemQC B3LYP/6-31G*//PM6 dataset: the Electronic Structures of 86 Million Molecules using B3LYP/6-31G* calculations 29 May 2023 prescient-design/nebula/nebula/train_vqvae.py 96ef9a5852ce9997 unverified Apache-2.0 (permissive)
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes 9 Apr 2023 arnold-benchmark/arnold/train_cliport6d.py e241a1dff2e417df unverified MIT (permissive)
Robust Mid-Pass Filtering Graph Convolutional Networks 16 Feb 2023 huangJC0429/Mid-GCN/mid_pass_GCN/main_meta.py 7ff8886920adc1a3 unverified no licence file found · pointer only
How Powerful are K-hop Message Passing Graph Neural Networks 26 May 2022 JiaruiFeng/KP-GNN/train_CSL.py 5e20167b79ec09a4 ran · honoured contract MIT (permissive)
GraB: Finding Provably Better Data Permutations than Random Reshuffling 22 May 2022 eugenelyc/grab/examples/train_logistic_regression.py 801a97282ddcecf8 ran · honoured contract MIT (permissive)
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow 29 Mar 2022 junshengzhou/3DAttriFlow/train_svr.py 46f620de04f39ed7 unverified MIT (permissive)
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning 28 Mar 2022 nazmul-karim170/unicon-noisy-label/Train_clothing1M.py 1012a2f9309055ef unverified MIT (permissive)
Machine learning discovery of new phases in programmable quantum simulator snapshots 20 Dec 2021 KimGroup/QGasML/lassopath.py 5deec296a6bf2967 unverified MIT (permissive)
Sharpness-aware Quantization for Deep Neural Networks 24 Nov 2021 zhuang-group/saq/core/engine.py d9191590db201cdf unverified Apache-2.0 (permissive)
Does language help generalization in vision models? 16 Apr 2021 bdvllrs/generalization-vision/tasks/transfer_learning.py 4f69a77f04e33665 ran · honoured contract MIT (permissive)
Can Vision Transformers Learn without Natural Images? 24 Mar 2021 hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch/finetuning/train_val.py f6a8dbeb6413ff98 unverified MIT (permissive)
Dual-modality seq2seq network for audio-visual event localization 20 Feb 2019 identical code first harvested elsewhere 219c7611d3659ea1 unverified licence of this copy not recorded
Audio-Visual Event Localization in Unconstrained Videos 23 Mar 2018 YapengTian/AVE-ECCV18/supervised_main.py 219c7611d3659ea1 unverified no licence file found · pointer only
Mobile Video Object Detection with Temporally-Aware Feature Maps 17 Nov 2017 vikrant7/mobile-vod-bottleneck-lstm/train_mvod_basenet.py bc785e3bb3be8a15 ran · honoured contract no licence file found · pointer only
Mobile Video Object Detection with Temporally-Aware Feature Maps 17 Nov 2017 vikrant7/mobile-vod-bottleneck-lstm/train_mvod_lstm1.py 0450965c711c906d ran · honoured contract no licence file found · pointer only
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data 31 Mar 2017 grasp-lyrl/sloppy/bayes1.py 0112fd9162a57434 unverified no licence file found · pointer only
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline 20 Nov 2016 NAVCAF/maneuver-id/utils/train_val_funcs.py f4da3a310e989511 unverified MIT (permissive)
arXiv:aaai_27804 DingJianhao/StoG-meets-SNN/sparse_code_utils.py e59d4d3fabd87987 unverified MIT (permissive)
arXiv:aaai_27804 DingJianhao/StoG-meets-SNN/utils.py 677ba1186b7388df 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