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get_constant_schedule

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

get_constant_schedule appears in the code Syntology harvested for 21 papers, as 7 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 14 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 get_constant_schedule 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 2 of the 7 distinct code bodies named get_constant_schedule; 5 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
0ran · fixture could not drive it
2ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 21 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; 21 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 4 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/lr_schedulers.py a8366f238618edad ran no licence file found · pointer only
REFDECODER: Enhancing Visual Generation with Conditional Video Decoding added by Syntology 2026-05 (from id) huggingface/diffusers/src/diffusers/optimization.py 92d80e4ab339e3ab ran Apache-2.0 (permissive)
Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization added by Syntology 2026-02 (from id) OPTML-Group/ZO-Muon/llm/lr_scheduler.py 66ebbc67206f9124 unverified MIT (permissive)
Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models added by Syntology 1 Feb 2026 shuita2333/PAD-codes/MMaDA-PAD/models/lr_schedulers.py a8366f238618edad ran 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/lr_schedulers.py a8366f238618edad ran Apache-2.0 (permissive)
Show-o2: Improved Native Unified Multimodal Models 18 Jun 2025 showlab/Show-o/show-o2/models/lr_schedulers.py a8366f238618edad ran Apache-2.0 (permissive)
UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning 29 May 2025 showlab/unirl/models/lr_schedulers.py a8366f238618edad ran Apache-2.0 (permissive)
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens 20 May 2025 arctanxarc/unictokens/models/lr_schedulers.py a8366f238618edad ran Apache-2.0 (permissive)
DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles 5 Mar 2025 showlab/DoraCycle/models/lr_schedulers.py a8366f238618edad ran Apache-2.0 (permissive)
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer 24 May 2024 zhu-zhiyu/nvs_solver/src/diffusers/optimization.py 92d80e4ab339e3ab ran no licence file found · pointer only
FiT: Flexible Vision Transformer for Diffusion Model 19 Feb 2024 whlzy/fit/fit/utils/lr_scheduler.py a8366f238618edad ran Apache-2.0 (permissive)
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models 28 Jan 2024 freestylefreelunch/freestyle/diffusers/src/diffusers/optimization.py a8366f238618edad ran no licence file found · pointer only
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving 29 Nov 2023 bravegroup/drive-wm/src/diffusers/optimization.py 92d80e4ab339e3ab ran Apache-2.0 (permissive)
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach 14 Jun 2023 virtuosoresearch/noise-stability-optimization/exps_on_text_datasets/transformers/optimization.py 1141f8139411c789 unverified MIT (permissive)
Visual Programming for Text-to-Image Generation and Evaluation 24 May 2023 gligen/diffusers/src/diffusers/optimization.py a8366f238618edad ran Apache-2.0 (permissive)
Fast Sampling of Diffusion Models with Exponential Integrator 29 Apr 2022 hankpipi/diffusers-hetu/src/diffusers/optimization.py a8366f238618edad ran Apache-2.0 (permissive)
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection 15 Apr 2022 vt-nlp/incremental_prompting/utils/optimizer.py 4575f85aa7122560 unverified MIT (permissive)
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text 7 Jul 2021 tingofurro/keep_it_simple/utils_optim.py 4575f85aa7122560 unverified Apache-2.0 (permissive)
Towards Long-Form Video Understanding 21 Jun 2021 chaoyuaw/lvu/src/models/optimization.py 4575f85aa7122560 unverified MIT (permissive)
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks 23 Apr 2020 shizhediao/t-dna/TDNA/optimization.py 0cfd32e6d6d4419a unverified Apache-2.0 (permissive)
arXiv:2024.naacl-long.345 arashardakani/SlimFit/BERT/AdamW.py dcbb447cfd495def 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".

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