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apply_mask

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

apply_mask appears in the code Syntology harvested for 25 papers, as 16 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 19 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 apply_mask 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 10 of the 16 distinct code bodies named apply_mask; 6 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
3ran · fixture could not drive it
6ran
6unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 25 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

25 papers shown of 25, newest first; 25 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 5 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
EEG-Xplain: Decoding Neural Black-Boxes of EEG Foundation Models added by Syntology 2026-09 (from id) gzhu-hcai/EEG-Xplain/model_list/eegpt.py 4265c294be96833d ran · fixture could not drive it no licence file found · pointer only
LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning added by Syntology 2026-07 (from id) langotime/lenepa-milets-2026/models/utils.py d932c3a9443f645b ran MIT (permissive)
Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition added by Syntology 2026-05 (from id) CVRL/PBM/mrcnn/visualize.py cdda836085a5b1af ran BSD-2-Clause (permissive)
EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models added by Syntology 2026-01 (from id) Dingkun0817/EEG-FM-Benchmark/models/FM/EEGPT/Model_EEGPT.py 4265c294be96833d ran · fixture could not drive it MIT (permissive)
EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models added by Syntology 25 Aug 2025 xw1216/EEG-FM-Bench/baseline/eegpt/model.py 0a7bd7112008de18 unverified licence not identified · pointer only
Retraining-Free Merging of Sparse MoE via Hierarchical Clustering 11 Oct 2024 wazenmai/HC-SMoE/hcsmoe/merging/grouping_mixtral.py 2663637656dd4380 ran MIT (permissive)
RobustSAM: Segment Anything Robustly on Degraded Images 13 Jun 2024 robustsam/RobustSAM/gradio_app.py ddc4752f7f12d6e1 ran MIT (permissive)
Car Damage Detection and Patch-to-Patch Self-supervised Image Alignment 11 Mar 2024 2000222/car-damage-detectionv0/mrcnn/visualize.py cdda836085a5b1af ran no licence file found · pointer only
ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images 26 Nov 2023 nicoboou/chada_vit/main_attn.py c83fb22106327e13 ran Apache-2.0 (permissive)
Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing 19 Oct 2023 ldzhangyx/loop-copilot/melodytalk/dependencies/vampnet/mask.py 7c70f983bb9174e5 ran Apache-2.0 (permissive)
VampNet: Music Generation via Masked Acoustic Token Modeling 10 Jul 2023 hugofloresgarcia/vampnet/vampnet/mask.py 7c70f983bb9174e5 ran MIT (permissive)
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion 31 Jan 2023 dovermore/randomized-deletion/src/torchmalware/certification/masking_mech.py a89350a23ca96ab6 unverified MIT (permissive)
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives 22 Jun 2022 zfying/visfis/components/feature_impt.py 511904da852d99b3 ran · our draft was wrong MIT (permissive)
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection 23 Mar 2022 liangchen527/SLADD/src/networks/synthesizer.py 9a6c144d88add499 ran · fixture could not drive it Apache-2.0 (permissive)
PASS: An ImageNet replacement for self-supervised pretraining without humans 27 Sep 2021 facebookresearch/dino/visualize_attention.py c83fb22106327e13 ran Apache-2.0 (permissive)
Experimental design for MRI by greedy policy search 30 Oct 2020 Timsey/pg_mri/src/helpers/transforms.py 92c6e74cc5959c54 unverified MIT (permissive)
TACO: Trash Annotations in Context for Litter Detection 16 Mar 2020 pedropro/TACO/detector/visualize.py cdda836085a5b1af ran MIT (permissive)
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior 11 Jan 2020 bbbbbbzhou/DuDoRNet/datasets/utilizes.py b83db16e1077b04c unverified MIT (permissive)
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning 12 Sep 2019 jiangycTarheel/NMN-MultiHopQA/snmn/nmn.py 6662273c573ec3c2 unverified MIT (permissive)
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation 9 Jan 2019 sahithchada/NOCS_PyTorch/visualize.py cdda836085a5b1af ran MIT (permissive)
CASENet: Deep Category-Aware Semantic Edge Detection 27 May 2017 Lavender105/DFF/exps/visualize/visualize.py 087e827fb18a4eb5 ran · fixture could not drive it fingerprinted MIT (permissive)
Mask R-CNN 20 Mar 2017 RituYadav92/Radar-RGB-Attentive-Multimodal-Object-Detection/Radar_RGB_Camera_Object_Detection/mrcnn/visualize.py cdda836085a5b1af ran MIT (permissive)
Face Aging With Conditional Generative Adversarial Networks 7 Feb 2017 Vishal-V/GSoC-TensorFlow-2019/mask_rcnn/visualize.py cdda836085a5b1af ran Apache-2.0 (permissive)
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks 10 Dec 2016 Vishal-V/GSoC/mask_rcnn/visualize.py cdda836085a5b1af ran Apache-2.0 (permissive)
arXiv:aaai_25475 IndigoPurple/DEQSCI/utils/forward_models_mri.py 6f81f2b3e0a764fb 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