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Layer

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

Layer appears in the code Syntology harvested for 20 papers, as 20 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 12 of the papers; 3 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 Layer 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 12 of the 20 distinct code bodies named Layer; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
11ran
8unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 20 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

20 papers shown of 20, newest first; 20 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. 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 Synthesizable RTL Implementation of Predictive Coding Networks added by Syntology 2026-03 (from id) alskaf1293/neuralcomputer/python_rtl/pc_network.py 9f46ae9d4c95a3ca ran no licence file found · pointer only
msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML 16 May 2025 tinypart/msf-cnn/analysis/building_blocks.py e61985ffd70a72a8 ran no licence file found · pointer only
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations 24 Apr 2025 giovannicatalani/enf2enf/enf/models/equivariant_cross_attention_nef.py 3ac0ff2b5cc925f8 unverified no licence file found · pointer only
GOAL: A Generalist Combinatorial Optimization Agent Learning 21 Jun 2024 naver/goal-co/model/goal.py e25d388b98c8e3f0 unverified licence not identified · pointer only
Adaptive Stabilization Based on Machine Learning for Column Generation 18 May 2024 yunzhuangshen/ml-based-adaptive-stabilization/ml/models/models.py f102ca4867968d09 unverified no licence file found · pointer only
See More Details: Efficient Image Super-Resolution by Experts Mining 5 Feb 2024 zhoushen1/MEASNet/MEASNet/net/FD_MEE.py 9146fec2223e3a45 ran · metamorphic tier: deterministic no licence file found · pointer only
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations 12 Jan 2024 ll0ruc/Ada-Retrieval/src/model/sequential/fmlprec.py 50813189315e4448 ran · metamorphic tier: deterministic no licence file found · pointer only
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems 8 Oct 2022 dimesteam/dimes/MIS/solvers/intel_treesearch/NPHard/gcn/models.py 8d9ecc956fcf5e40 unverified MIT (permissive)
Knowing the No-match: Entity Alignment with Dangling Cases 4 Jun 2021 nju-websoft/OpenEA/src/openea/approaches/gmnn.py 3c0ff4f06ef8b321 ran fingerprinted GPL-3.0 (copyleft) · pointer only
Neural Pruning via Growing Regularization 16 Dec 2020 mingsun-tse/regularization-pruning/pruner/reg_pruner.py d54cd5c9b293f300 ran no licence file found · pointer only
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles 7 Nov 2020 chrisc36/autobias/autobias/modules/classifier_ensembles.py 1788407f38a54f42 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
Efficient Generation of Structured Objects with Constrained Adversarial Networks 26 Jul 2020 unitn-sml/CAN/src/fuzzy/losses.py 7b0a3995addade31 ran no licence file found · pointer only
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs 20 Jun 2020 GemsLab/H2GCN/h2gcn/models/H2GCN.py bdae8b092f8e8c19 ran no licence file found · pointer only
Tensor Graph Convolutional Networks for Text Classification 12 Jan 2020 thumlp/tensorgcn/TGCN_2layers/layers.py a4c7bb0cc7c409af unverified no licence file found · pointer only
Variational Encoding of Complex Dynamics 23 Nov 2017 msmbuilder/vde/vde/vde.py cc2e752e1e144cf6 ran · our draft was wrong MIT (permissive)
Modeling Relational Data with Graph Convolutional Networks 17 Mar 2017 tkipf/gae/gae/layers.py c101076233bfcdee ran fingerprinted MIT (permissive)
Semi-Supervised Classification with Graph Convolutional Networks 9 Sep 2016 abi-kothapalli/minimumdominatingsets/gcn/layers.py 69193fc7101cf090 ran fingerprinted MIT (permissive)
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering 30 Jun 2016 ajbisberg/gcn/gcn/layers.py e643d1f9db59f99c unverified MIT (permissive)
Density estimation using Real NVP 27 May 2016 taesung89/real-nvp/real_nvp/nn.py 0e7224db7dc1693f unverified no licence file found · pointer only
Playing Atari with Deep Reinforcement Learning 19 Dec 2013 parilo/rl-server/tf_rl/conv_model.py 13f78b113956d77f unverified 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