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_ntuple

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

_ntuple appears in the code Syntology harvested for 17 papers, as 17 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 17 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 _ntuple 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 17 of the 17 distinct code bodies named _ntuple; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
15ran · our draft was wrong
0ran · fixture could not drive it
2ran
0unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 17 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

17 papers shown of 17, newest first; 17 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; 2 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
From Numerical Simulators of PDEs to Neural Emulators and Back added by Syntology 2026-08 (from id) Ceyron/pdequinox/pdequinox/conv/_physics_conv.py 0bdc4e280816adff ran · our draft was wrong MIT (permissive)
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning added by Syntology 2025-09 (from id) peacelwh/VT-FSL/model/visformer.py 671adf4caf15b9fd ran · our draft was wrong MIT (permissive)
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity 26 Mar 2025 kadmkbl/SURGEON/methods/das.py 8a69f6beafdd8b41 ran · our draft was wrong no licence file found · pointer only
MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction 17 Feb 2025 SenseTime-FVG/OpenDWM/src/dwm/models/mask_layers.py edcc588e588a39da ran · our draft was wrong MIT (permissive)
Generalizable Person Re-identification via Balancing Alignment and Uniformity 18 Nov 2024 yoonkicho/bau/bau/models/vit.py 251bb5809692264f ran · our draft was wrong MIT (permissive)
Vision-LSTM: xLSTM as Generic Vision Backbone 6 Jun 2024 NX-AI/vision-lstm/vision_lstm/vision_lstm.py 90263a78b0923104 ran · our draft was wrong Apache-2.0 (permissive)
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers 19 Feb 2024 mrkshllr/bixt/timm/models/bixt.py 65b709c708e72249 ran · our draft was wrong licence not identified · pointer only
MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory 25 Oct 2023 liangyn22/mcuformer/model/supernet_transformer.py e2c1a7dffcdbe918 ran · our draft was wrong no licence file found · pointer only
Learning Emotion Representations from Verbal and Nonverbal Communication 22 May 2023 Xeaver/EmotionCLIP/src/models/base.py ee61c52d701d0844 ran · our draft was wrong MIT (permissive)
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion 19 Oct 2022 naver/croco/models/croco.py cd4d36b9126e53f2 ran · our draft was wrong licence not identified · pointer only
Safe Self-Refinement for Transformer-based Domain Adaptation 16 Apr 2022 tsun/SSRT/model/SSRT.py 553ee0765abad219 ran · our draft was wrong MIT (permissive)
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks 8 Mar 2022 zysxmu/DDTB/model/quant_ops.py f824d678bd760ea9 ran · our draft was wrong no licence file found · pointer only
Bridging Video-text Retrieval with Multiple Choice Questions 13 Jan 2022 towhee-io/towhee/towhee/models/bridgeformer/bridge_former_training_block.py 0ef9a056059a14d9 ran · our draft was wrong Apache-2.0 (permissive)
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning 12 Jan 2022 towhee-io/towhee/towhee/models/uniformer/uniformer.py 2f3cf06bc7cb9815 ran · our draft was wrong Apache-2.0 (permissive)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification 30 May 2021 JDAI-CV/fast-reid/fastreid/modeling/backbones/vision_transformer.py 019554bbb3a9809d ran · our draft was wrong Apache-2.0 (permissive)
arXiv:aaai_28529 AlienZhang1996/S2WAT/model/s2wat.py 155a78c7098ac4ff ran no licence file found · pointer only
arXiv:Sun_EntropyMark_Towards_More_Harmless_Backdoor_Watermark_via_Entropy-based_Constraint_for_CVPR_2025_paper AaronSun2000/EntropyMark/SSBW.py 2996c83a788017d7 ran 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