Home › Code › broadcast

broadcast

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

broadcast appears in the code Syntology harvested for 21 papers, as 14 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 11 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 broadcast 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 broadcast; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
4ran
8unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 22 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

21 papers shown of 21, newest first; 22 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 3 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
Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers added by Syntology 2026-05 (from id) Feng-Hong/WINO-DLLM/MMaDA/models/misc.py 1f6ae43d06c76ba5 ran fingerprinted no licence file found · pointer only
Smoothness Errors in Dynamics Models and How to Avoid Them added by Syntology 2026-02 (from id) EdwardBerman/rayleigh_analysis/model/complex_global_mean_pool.py 5dd38da29766376b unverified no licence file found · pointer only
Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models added by Syntology 1 Feb 2026 shuita2333/PAD-codes/MMaDA-PAD/models/misc.py 1f6ae43d06c76ba5 ran fingerprinted no licence file found · pointer only
The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs 15 Jul 2025 zichenwen1/dija/MMaDA/models/misc.py 1f6ae43d06c76ba5 ran fingerprinted Apache-2.0 (permissive)
arXiv:2506.16110 2025-06 (from id) Jinx-byebye/GOKU/preprocessing/graph_sparsification.py e20c62ca663b5bd5 unverified no licence file found · pointer only
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens 20 May 2025 arctanxarc/unictokens/models/misc.py 1f6ae43d06c76ba5 ran fingerprinted Apache-2.0 (permissive)
DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles 5 Mar 2025 showlab/DoraCycle/models/misc.py 1f6ae43d06c76ba5 ran fingerprinted Apache-2.0 (permissive)
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers 21 Feb 2025 hao-ai-lab/FastVideo/fastvideo/layers/rotary_embedding_3d.py dfd8b529d1956695 ran · honoured contract Apache-2.0 (permissive)
T-SCEND: Test-time Scalable MCTS-enhanced Diffusion Model 4 Feb 2025 AI4Science-WestlakeU/VFScale/vfscale_src/model/models.py a58996a6b5a75e87 ran · fixture could not drive it MIT (permissive)
T-SCEND: Test-time Scalable MCTS-enhanced Diffusion Model 4 Feb 2025 ai4science-westlakeu/t_scend/tscend_src/model/diffusion_lib/nlm_utils.py cf4d925ba3e0cd70 unverified MIT (permissive)
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning 7 May 2024 wmyw96/fair/methods/demo_wrapper.py 1200849ad05d7415 ran no licence file found · pointer only
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks 4 Apr 2024 ArjunSubramonian/degree-bias-exploration/gcn_conv.py ce644651a04876f1 ran MIT (permissive)
Hulk: A Universal Knowledge Translator for Human-Centric Tasks 4 Dec 2023 opengvlab/hulk/core/distributed_utils.py 305673e9acaebcc6 unverified MIT (permissive)
GraphPro: Graph Pre-training and Prompt Learning for Recommendation 28 Nov 2023 hkuds/graphpl/modules/utils.py 5dd38da29766376b unverified Apache-2.0 (permissive)
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction 29 Sep 2023 arjunsubramonian/link_bias_amplification/gcn_conv.py ce644651a04876f1 ran MIT (permissive)
ICML 2023 Topological Deep Learning Challenge : Design and Results 26 Sep 2023 pyt-team/topomodelx/topomodelx/utils/scatter.py 5cb10b0bbf8e72a9 ran MIT (permissive)
LATR: 3D Lane Detection from Monocular Images with Transformer 8 Aug 2023 JMoonr/LATR/models/scatter_utils.py 5dd38da29766376b unverified MIT (permissive)
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks 7 Jun 2023 x-plug/youku-mplug/models/distributed_utils.py a47de0bd08f00353 unverified Apache-2.0 (permissive)
KALA: Knowledge-Augmented Language Model Adaptation 22 Apr 2022 rusty1s/pytorch_scatter/torch_scatter/utils.py 5dd38da29766376b unverified MIT (permissive)
Deep Sets 10 Mar 2017 acciorocketships/setautoencoder/sae/sae_model.py bc85e620db3cca51 unverified no licence file found · pointer only
XGBoost: A Scalable Tree Boosting System 9 Mar 2016 360jinrong/GBST/gbst_package/gbst/rabit.py cb6b3b44c71c8b4d unverified Apache-2.0 (permissive)
Very Deep Convolutional Networks for Large-Scale Image Recognition 4 Sep 2014 vwegn/dm/custom_layers.py 42eea443a34aa478 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