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fit

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

fit appears in the code Syntology harvested for 23 papers, as 23 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 5 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 fit 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 5 of the 23 distinct code bodies named fit; 18 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
2ran · fixture could not drive it
3ran
18unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 24 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

23 papers shown of 23, newest first; 24 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 2 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
Twisted Schrödinger Bridge Matching added by Syntology 2026-07 (from id) maxencenoble/twisted-sb-matching/bridge/spline/gaussian_path.py 2a6ce05c38a2af82 unverified MIT (permissive)
DRESS: A Continuous Framework for Structural Graph Refinement added by Syntology 2026-02 (from id) velicast/dress-graph/python/src/dress/core.py 2902b27b6eb35ebe unverified MIT (permissive)
WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales 7 May 2025 aaronhan223/watch/src/main_pod_ram.py 3dcf309104240174 unverified BSD-3-Clause (permissive)
Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning 23 Mar 2025 gmc-drl/apdmmo/surrogate.py 8131b3f5abb83bbf unverified BSD-2-Clause (permissive)
Loss-to-Loss Prediction: Scaling Laws for All Datasets 19 Nov 2024 KempnerInstitute/loss-to-loss-notebooks/utils_scaling.py f916802c9c8b374e unverified no licence file found · pointer only
The Disparate Benefits of Deep Ensembles 17 Oct 2024 ml-jku/disparate-benefits/source/utils/train_utils.py dd461a45f2667e8c unverified MIT (permissive)
MetaOOD: Automatic Selection of OOD Detection Models 4 Oct 2024 yqin43/metaood/metaood/metaood_0.py ee6c756d2eb41474 ran MIT (permissive)
Fitting Multilevel Factor Models 18 Sep 2024 cvxgrp/multilevel_factor_model/mfmodel/fast_em_algorithm.py 97c969723353df2a unverified Apache-2.0 (permissive)
Learning to Complement and to Defer to Multiple Users 9 Jul 2024 zhengzhang37/lecodu/utils/tools.py cf3259099e459c51 ran no licence file found · pointer only
Metric Space Magnitude for Evaluating the Diversity of Latent Representations 27 Nov 2023 renata-turkes/turkevs2022on/SRC/model.py 9e95cd27c390703a ran no licence file found · pointer only
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching 20 Jun 2023 duyhominhnguyen/LVM-Med/segmentation_2d/LVMMed_SAM_2d.py 5da7a0e57d058010 unverified licence not identified · pointer only
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning 12 Feb 2023 niuzehao/gnn-gp/src/predict.py 1d4c96cb8248baa4 unverified Apache-2.0 (permissive)
Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields 25 Aug 2022 niklasschmitz/ad-kernels/md17/experiments/hyper_coulomb.py ff7a01e3fef14913 unverified MIT (permissive)
Weighing the Milky Way and Andromeda with Artificial Intelligence 29 Nov 2021 PabloVD/HaloGraphNet/camelsplots.py d91b96b668aca991 unverified MIT (permissive)
BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark 17 Jul 2021 google-health/records-research/beds-bench/models/GP.py a16ad595e3803161 ran · fixture could not drive it no licence file found · pointer only
A biologically plausible neural network for Slow Feature Analysis 23 Oct 2020 flatironinstitute/bio-sfa/biosfa.py bf634500932d3ad4 ran · fixture could not drive it no licence file found · pointer only
Towards Robust Classification with Deep Generative Forests 11 Jul 2020 AlCorreia/GeFs/gefs/learning.py e9e0d52c893cf2bb unverified MIT (permissive)
Disentangling by Subspace Diffusion 23 Jun 2020 deepmind/deepmind-research/geomancer/geomancer.py ab9c21314cb23449 unverified Apache-2.0 (permissive)
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods 21 Oct 2019 tfmortie/uaml/uaml/process.py e274e4d018b72bba unverified MIT (permissive)
Deep Interest Evolution Network for Click-Through Rate Prediction 11 Sep 2018 GitHub-HongweiZhang/prediction-flow/prediction_flow/pytorch/functions.py 44610d575b31e33c unverified MIT (permissive)
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing 5 Mar 2018 chenhsuanlin/spatial-transformer-GAN/glasses/warp.py 5dfbbadd25cd659e unverified MIT (permissive)
Inverse Compositional Spatial Transformer Networks 12 Dec 2016 chenhsuanlin/inverse-compositional-STN/MNIST-tensorflow/warp.py 5dfbbadd25cd659e unverified MIT (permissive)
Inverse Compositional Spatial Transformer Networks 12 Dec 2016 chenhsuanlin/inverse-compositional-STN/MNIST-pytorch/warp.py 91f76d01aa3d7d32 unverified MIT (permissive)
Recurrent Neural Networks for Multivariate Time Series with Missing Values 6 Jun 2016 fteufel/PyTorch-GRU-D/scripts/run_gru_d.py 79e0b1b1652e2e27 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