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interleave

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

interleave appears in the code Syntology harvested for 9 papers, as 8 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 2 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 interleave 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 4 of the 8 distinct code bodies named interleave; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
1ran · fixture could not drive it
0ran
4unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 10 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

9 papers shown of 9, newest first; 10 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
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning added by Syntology 2025-10 (from id) yaxinhou/CPG/semilearn/algorithms/utils/ops.py c56b7c3374c4b9cc unverified no licence file found · pointer only
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning 20 May 2024 Gank0078/FineSSL/trainer.py f6043e7798bcabbd ran · our draft was wrong fingerprinted no licence file found · pointer only
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification 17 Apr 2024 kunzhan/InfoMatch/infoMatch_STL.py f6043e7798bcabbd ran · our draft was wrong fingerprinted no licence file found · pointer only
Referring Image Segmentation Using Text Supervision 28 Aug 2023 fawnliu/tris/IRNet/torch_utils.py f6043e7798bcabbd ran · our draft was wrong fingerprinted MIT (permissive)
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling 14 Nov 2019 f90/Seq-U-Net/sequnet_utils.py 0356ec7f2f97ed82 unverified MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 smkim7-kr/albu-MixMatch-pytorch/src/utils.py 87035ef75e16edc6 ran · our draft was wrong MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 ntozer/mixmatch-tensorflow2.0/mixmatch.py dc463911b8db674e ran · our draft was wrong MIT (permissive)
A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet 28 Mar 2019 mozilla/LPCNet/training_tf2/lpcnet.py 462214bb0c5c4921 unverified BSD-3-Clause (permissive)
Fast Conditional Independence Test for Vector Variables with Large Sample Sizes 8 Apr 2018 kjchalup/fcit/fcit/fcit.py 28c086173a0a9308 ran · fixture could not drive it fingerprinted MIT (permissive)
Deeper Depth Prediction with Fully Convolutional Residual Networks 1 Jun 2016 iro-cp/FCRN-DepthPrediction/tensorflow/models/network.py 95ceecbd3deb30dc unverified BSD-2-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