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stochastic_depth

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

stochastic_depth appears in the code Syntology harvested for 8 papers, as 8 distinct code bodies found in 9 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 stochastic_depth 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 stochastic_depth; 2 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
5ran · fixture could not drive it
1ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 9 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

8 papers shown of 8, newest first; 9 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 1 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
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection added by Syntology 2025-10 (from id) mlvlab/VDRP/transformer_layers.py 256ec3ee8631f23b unverified MIT (permissive)
SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces 12 Mar 2024 shim0114/SSM-Meets-Video-Diffusion-Models/video_diffusion_pytorch/s4d.py cb1e186caa6a9a11 ran MIT (permissive)
Exploring Predicate Visual Context in Detecting Human-Object Interactions 11 Aug 2023 fredzzhang/pvic/transformers.py 256ec3ee8631f23b unverified BSD-3-Clause (permissive)
A ConvNet for the 2020s 10 Jan 2022 pytorch/vision/torchvision/models/convnext.py a796360490702186 ran · fixture could not drive it BSD-3-Clause (permissive)
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 25 Mar 2021 pytorch/vision/torchvision/models/swin_transformer.py e6ac1ffd60c632a3 ran · fixture could not drive it BSD-3-Clause (permissive)
Self-training with Noisy Student improves ImageNet classification 11 Nov 2019 google-research/noisystudent/utils.py c0942e1efe9598d2 unverified Apache-2.0 (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 canturan10/satellighte/satellighte/archs/efficientnet/module.py 326c8379ce627360 ran · fixture could not drive it MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 pytorch/vision/torchvision/models/efficientnet.py 6010c21fa9b1def9 ran · fixture could not drive it BSD-3-Clause (permissive)
Deep Networks with Stochastic Depth 30 Mar 2016 pytorch/vision/torchvision/ops/stochastic_depth.py 23e54ee64c53fb22 ran · fixture could not drive it BSD-3-Clause (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