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scaling

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

scaling appears in the code Syntology harvested for 16 papers, as 8 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 9 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 scaling 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 2 of the 8 distinct code bodies named scaling; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 3 of the 16 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

16 papers shown of 16, newest first; 16 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. 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
AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation 6 Jun 2025 CAODH/EquiScore/utils/equiscore_utils.py a3fb87a259b15eae ran MIT (permissive)
Retrieval Augmented Time Series Forecasting 7 May 2025 archon159/RAFT/utils/augmentation.py 570f35b7d04be7f7 unverified MIT (permissive)
A Canonicalization Perspective on Invariant and Equivariant Learning 28 May 2024 georgemlp/canonicalization/layers/graphit_gt_layer.py a3fb87a259b15eae ran MIT (permissive)
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding 28 Oct 2023 georgemlp/laplacian-canonization/layers/graphit_gt_layer.py a3fb87a259b15eae ran MIT (permissive)
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity 18 Aug 2023 nslab-cuk/unified-graph-transformer/Graph_classification/layers/graph_transformer_edge_layer.py a3fb87a259b15eae ran MIT (permissive)
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness 16 Aug 2023 francesco-campi/rob-subgraphs/src/SAN/graph_transformer_layer.py a3fb87a259b15eae ran no licence file found · pointer only
Unit Scaling: Out-of-the-Box Low-Precision Training 20 Mar 2023 graphcore-research/unit-scaling-demo/scmm/uscale/ops.py 55834bdb013ab248 unverified MIT (permissive)
Domain Adaptation for Time Series Under Feature and Label Shifts 6 Feb 2023 mims-harvard/Raincoat/models/augmentations.py 62ae42ac3fdc85c6 unverified MIT (permissive)
How Expressive are Transformers in Spectral Domain for Graphs? 23 Jan 2022 ansonb/FeTA_TMLR/LPE/layers/GT_layer_bkp.py a3fb87a259b15eae ran MIT (permissive)
Graph Neural Networks with Learnable Structural and Positional Representations 15 Oct 2021 vijaydwivedi75/gnn-lspe/layers/graphit_gt_lspe_layer.py a3fb87a259b15eae ran MIT (permissive)
Residual Feature Distillation Network for Lightweight Image Super-Resolution 24 Sep 2020 tuvovan/RFDNet-ImageSuperResolution/utils.py 7944e373e6303444 unverified MIT (permissive)
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks 31 Jul 2020 uchidalab/time_series_augmentation/utils/augmentation.py 570f35b7d04be7f7 unverified Apache-2.0 (permissive)
DeepMoD: Deep learning for Model Discovery in noisy data 20 Apr 2019 PhIMaL/DeePyMoD_torch/src/deepymod_torch/sparsity.py 35cc33cab5241f05 unverified MIT (permissive)
RISE: Randomized Input Sampling for Explanation of Black-box Models 19 Jun 2018 openvinotoolkit/openvino_xai/openvino_xai/common/utils.py 161696665a9b902a unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Unsupervised Cross-Domain Image Generation 7 Nov 2016 deepakprabakar96/DTN/face/facenet/model.py 3587611134f2fad7 ran · honoured contract fingerprinted MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 sebastiaopamplona/msc-thesis-deepfsim/utils/models/facenet.py 3587611134f2fad7 ran · honoured contract fingerprinted 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