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masked_mse

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

masked_mse appears in the code Syntology harvested for 15 papers, as 14 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 6 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 masked_mse 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 14 distinct code bodies named masked_mse; 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
5ran
8unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 15 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

15 papers shown of 15, newest first; 15 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
Debiased Model-based Representations for Sample-efficient Continuous Control added by Syntology 2026-05 (from id) dmksjfl/DR.Q/DRQ/DRQ.py 2cac7a14fbff7d09 ran · our draft was wrong fingerprinted MIT (permissive)
HealthMamba: An Uncertainty-aware Spatiotemporal Graph State Space Model for Effective and Reliable Healthcare Facility Visit Prediction added by Syntology 2026-02 (from id) UFOdestiny/HealthMamba/base/metrics.py 64aac06518bc2b5b unverified MIT (permissive)
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version 24 Oct 2024 kvmduc/TEAM-topo-evo-traffic-forecasting/lib/metrics.py 0b84a6d18134cfd0 unverified no licence file found · pointer only
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework 14 Oct 2024 DILab-USTCSZ/CMuST/utils/metrics.py 8982d44f3ff56232 ran fingerprinted Apache-2.0 (permissive)
Robust Traffic Forecasting against Spatial Shift over Years 1 Oct 2024 dreamzz5/st-expert/src/utils/metrics.py 3338cb23d09778db unverified MIT (permissive)
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks 13 Sep 2024 AnonymousSAUC/SAUC/utils.py 5386770c61c86483 ran fingerprinted no licence file found · pointer only
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing 18 May 2024 chengqingyu/ginar/metric/mask_metric.py b05a50b3bb98c18f ran fingerprinted no licence file found · pointer only
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions 23 Apr 2024 zhangye-zoe/dawn/src/dawn/training/losses.py 4d52f6ef14ddd9c7 ran fingerprinted no licence file found · pointer only
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis 9 Oct 2023 zezhishao/d2stgnn/models/losses.py 38743922b798588e ran fingerprinted no licence file found · pointer only
Deep Learning the Functional Renormalization Group 2022-02 (from id) bitmapdds/neuralfrg/neuralfrg/utils.py 1aac9e2647bd7c4d unverified Apache-2.0 (permissive)
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model 24 Nov 2021 cosmostat/wf-psf/src/wf_psf/training/train_utils.py 2c0a2a340ea4921a unverified MIT (permissive)
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time 15 Aug 2021 anshuln/training-for-the-future/src/CIDA/utils.py fb4e99638972135b unverified MIT (permissive)
Harnessing Structures for Value-Based Planning and Reinforcement Learning 26 Sep 2019 YyzHarry/SV-RL/sv_rl/fancyimpute/common.py 929e949663af4838 unverified MIT (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 LucaHermes/graph-unet-traffic-prediction/models/unet.py 815bdedb758f4239 unverified no licence file found · pointer only
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares 9 Oct 2014 iskandr/fancyimpute/fancyimpute/common.py 929e949663af4838 unverified Apache-2.0 (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