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make_loader

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

make_loader appears in the code Syntology harvested for 12 papers, as 12 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 7 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 make_loader 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 7 of the 12 distinct code bodies named make_loader; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
7ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 12 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

12 papers shown of 12, newest first; 12 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 7 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
Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation added by Syntology 2026-09 (from id) Finn-02/synthetic-hfus-skin-layer-segmentation/code/segablation/training.py 7544a42fcf7666af unverified no licence file found · pointer only
AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis added by Syntology 2026-07 (from id) zjlGO/AdaSurvMamba/utils/utils.py a7e499aed1288fa0 ran GPL-3.0 (copyleft) · pointer only
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology 2026-06 (from id) AyushRoy2001/ManifoldGD/kl.py 580747f8e67364f5 ran no licence file found · pointer only
From Compression to Deployment: Real-Time and Energy-Efficient FastGRNN on Ultra-Constrained Microcontrollers added by Syntology 2026-06 (from id) emre1998/fastgrnn-har/train_fastgrnn.py 502d786e4b2355b6 ran Apache-2.0 (permissive)
Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation added by Syntology 2026-05 (from id) samsongourevitch/rev_udm/trainer_sudoku.py 1a232c6b0bbfe2ad ran MIT (permissive)
Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusion added by Syntology 2025-10 (from id) CUAI/Non-Homophily-Large-Scale/batch_utils.py 7801b54d43fe03e1 unverified no licence file found · pointer only
SpeedCP: Fast Kernel-Based Conditional Conformal Prediction added by Syntology 2025-09 (from id) yeojin-jung/speedcp/experiments/molecular/run_esol.py a0a653b31952f3d9 unverified MIT (permissive)
Transferable Candidate Proposal with Bounded Uncertainty 7 Dec 2023 gokyeongryeol/TBU/active/models/trainer.py 279d8d05cf132b12 ran MIT (permissive)
Meta Co-Training: Two Views are Better than One 29 Nov 2023 jayrothenberger/meta-co-training/meta-cotraining/src/mct/MCT.py 145a8c186a34ba42 ran no licence file found · pointer only
Gromov-Wasserstein Autoencoders 15 Sep 2022 ganmodokix/gwae/fid.py 37aa0a7e2124046f ran MIT (permissive)
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning 2020-02 (from id) bpriviere/glas/code/train_il.py e3a5502bac018c1b unverified MIT (permissive)
arXiv:2023.findings-acl.739 csu-signal/axomiyaberta/task_finetune/ASNER/indic_ner.py 28b840821b59cf7e 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