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concat

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

concat appears in the code Syntology harvested for 21 papers, as 19 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 2 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 concat 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 6 of the 19 distinct code bodies named concat; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

4ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
1ran
13unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 21 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

21 papers shown of 21, newest first; 21 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 4 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
Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation added by Syntology 2026-05 (from id) anitan0925/sald/sald_FM_SD35/utils.py e585cbedd3948725 ran MIT (permissive)
From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG added by Syntology 2026-03 (from id) NJU-RL/MA-RAG/microservice/RetrievalSystem.py fe2a7acec318d635 unverified no licence file found · pointer only
Progressive Checkerboards for Autoregressive Multiscale Image Generation added by Syntology 2026-02 (from id) deigen/checkerboardgen/cbgen/checkerboard.py 74dcbee2e50bcf44 ran · honoured contract Apache-2.0 (permissive)
Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation added by Syntology 2025-09 (from id) JinPLu/VeloxSeg/model/VeloxSeg.py 4ea4b62981b4a22c unverified no licence file found · pointer only
When and How Does CLIP Enable Domain and Compositional Generalization? 13 Feb 2025 ndif-team/nnsight/src/nnsight/intervention/batching.py 4426e27aa118f08d unverified MIT (permissive)
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals 18 Jul 2024 jadenfiotto-kaufman/nnsight/src/nnsight/intervention/batching.py 4426e27aa118f08d unverified MIT (permissive)
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution 16 Apr 2024 Yuan-Yutao/ECDP/lib/model/ecdp.py 7fa14c14a6bd9c3d ran · fixture could not drive it fingerprinted no licence file found · pointer only
Benchmarking Retrieval-Augmented Generation for Medicine 20 Feb 2024 teddy-xionggz/medrag/src/utils.py fe2a7acec318d635 unverified no licence file found · pointer only
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings 26 Apr 2022 LivNLP/meta-concat/concat.py 8db0f90df651de66 unverified MIT (permissive)
Indiscriminate Data Poisoning Attacks on Neural Networks 19 Apr 2022 watml/tgda-attack/utils.py cc489bfd1fb0f0d4 unverified MIT (permissive)
Which Invariance Should We Transfer? A Causal Minimax Learning Approach 5 Jul 2021 lmz123321/which_invariance/findoptset/findoptset.py 33d995585c147c9b ran · honoured contract MIT (permissive)
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python 7 Apr 2021 DoubleML/doubleml-for-py/doubleml/double_ml_framework.py d89c2e14f935d16b unverified BSD-3-Clause (permissive)
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing 30 Oct 2020 tzt101/MichiGAN/models/networks/generator.py a3db41dad9292ecb unverified MIT (permissive)
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning 5 Mar 2020 puneesh00/loop/loss/embedding_aug_mx.py a645a2dfd75685c5 unverified MIT (permissive)
Beyond Human-Level Accuracy: Computational Challenges in Deep Learning 3 Sep 2019 baidu-research/catamount/catamount/api/ops.py 80e960c88c6fcddf unverified Apache-2.0 (permissive)
DARTS: Differentiable Architecture Search 24 Jun 2018 adammenges/DARTS-PyTorch/cnn/arch.py 94df8664a92747e5 ran · honoured contract Apache-2.0 (permissive)
Relational inductive biases, deep learning, and graph networks 4 Jun 2018 mylonasc/tf-gnns/tf_gnns/backend_ops.py b433f1f94987c049 unverified Apache-2.0 (permissive)
Hindsight Experience Replay 5 Jul 2017 bacdavid/HER/hindsight_experience.py f616d3cbede3329d ran · honoured contract fingerprinted no licence file found · pointer only
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery 17 Mar 2017 LeeDoYup/AnoGAN/ops.py 6758e6e7c8eb29d4 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 ChengBinJin/U-Net-TensorFlow/src/model.py ace1773da4b6e3fd unverified no licence file found · pointer only
Convolutional Neural Networks for Sentence Classification 25 Aug 2014 piyush2896/CNN-Text-Classifier/nn/layers.py 4df1c013c4cd5872 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