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partialclass

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

partialclass appears in the code Syntology harvested for 13 papers, as 8 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 11 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 partialclass 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 8 distinct code bodies named partialclass; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 4 of the 14 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

13 papers shown of 13, newest first; 14 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
Enhancing Fourier Neural Operators with Local Spatial Features 22 Mar 2025 identical code first harvested elsewhere 2041982f0cf2a6be ran · our draft was wrong licence of this copy not recorded
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability 27 May 2024 opendrivelab/vista/vwm/models/diffusion.py c91c205a5fcd562b ran Apache-2.0 (permissive)
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows 27 May 2024 identical code first harvested elsewhere fc02f5f0a7b4896e ran · our draft was wrong licence of this copy not recorded
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows 27 May 2024 neuraloperator/neuraloperator/neuralop/models/fno.py 2041982f0cf2a6be ran · our draft was wrong MIT (permissive)
Dynamic Conditional Optimal Transport through Simulation-Free Flows 5 Apr 2024 gavinkerrigan/cot_fm/models/fourier_neural_operator.py 34aed3ff0fa7e833 ran no licence file found · pointer only
Quantifying and Enhancing Multi-modal Robustness with Modality Preference 9 Feb 2024 GeWu-Lab/Certifiable-Robust-Multi-modal-Training/utils.py 0ab7cbcb8ecef516 ran no licence file found · pointer only
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators 27 Jul 2023 neuraloperator/neuraloperator/neuralop/models/fno.py fc02f5f0a7b4896e ran · our draft was wrong MIT (permissive)
Transfer learning on large datasets for the accurate prediction of material properties 2023-03 (from id) hyllios/cgat/CGAT/Hypernetworksmp.py 61098cd5c9624563 ran MIT (permissive)
Regret-Based Defense in Adversarial Reinforcement Learning 14 Feb 2023 romanbelaire/robust-ccer/code_mujoco/ccer/policy_gradients/models.py 61098cd5c9624563 ran MIT (permissive)
Towards Understanding How Machines Can Learn Causal Overhypotheses 16 Jun 2022 cannylab/casual_overhypotheses/driver.py 5dde12e77fb722b8 unverified MIT (permissive)
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation 19 May 2022 voletiv/mcvd-pytorch/models/unet.py 61098cd5c9624563 ran MIT (permissive)
Adversarial score matching and improved sampling for image generation 11 Sep 2020 AlexiaJM/AdversarialConsistentScoreMatching/models/UNet.py 61098cd5c9624563 ran MIT (permissive)
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations 4 Jun 2019 vsitzmann/scene-representation-networks/hyperlayers.py 61098cd5c9624563 ran MIT (permissive)
arXiv:2021.findings-emnlp.130 nutcrtnk/DHGNet/src/utils.py 911e8a7d9706e726 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