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get_num_transfer_tokens

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

get_num_transfer_tokens appears in the code Syntology harvested for 22 papers, as 13 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 17 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 get_num_transfer_tokens 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 8 of the 13 distinct code bodies named get_num_transfer_tokens; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
3ran
5unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 26 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

22 papers shown of 22, newest first; 26 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 17 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
Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language Models added by Syntology 2026-07 (from id) ming053l/C4-dLLM/c4/decode.py befea8ff69c3c190 ran MIT (permissive)
Learning from the Self-future: On-policy Self-distillation for dLLMs added by Syntology 2026-06 (from id) xingzhejun/d-OPSD/d-opsd/utils.py c3a8d456e319a4cd ran no licence file found · pointer only
SAID: Accelerating Diffusion-Based Language Models via Scaffold-Aware Iterative Decoding added by Syntology 2026-06 (from id) TH-AI-Lab-PKU/SAID/SAID-block/generate_said.py 616687ef1e9b4bb3 ran · honoured contract no licence file found · pointer only
FASTKERNELS: Benchmarking GPU Kernel Generation in Production added by Syntology 2026-05 (from id) Snowflake-AI-Research/fastkernels/fastkernels/infra/dllm_engine.py e09479b4e819c39d ran fingerprinted Apache-2.0 (permissive)
Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers added by Syntology 2026-05 (from id) Feng-Hong/WINO-DLLM/LLaDA/decoding.py 6f22da9cc766ffbe ran · our draft was wrong no licence file found · pointer only
TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM added by Syntology 2026-05 (from id) BHmingyang/TAD/eval/eval_llada.py befea8ff69c3c190 ran no licence file found · pointer only
Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning added by Syntology 2026-05 (from id) YanJiangJerry/Block-R1/rl/trainers/dynamic_generate.py 0b9c375ad9242640 ran · honoured contract Apache-2.0 (permissive)
R 2 -dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction added by Syntology 2026-04 (from id) GATECH-EIC/R2-dLLM/dream/model/generation_utils_block.py 6f22da9cc766ffbe ran · our draft was wrong no licence file found · pointer only
Diffusion-State Policy Optimization for Masked Diffusion Language Models added by Syntology 2026-02 (from id) dllm-reasoning/d1/eval/generate.py c3a8d456e319a4cd ran Apache-2.0 (permissive)
DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs added by Syntology 2026-02 (from id) lizhuo-luo/DSB/llada/generate.py e95adfb19ea21d20 ran · honoured contract MIT (permissive)
Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models added by Syntology 1 Feb 2026 shuita2333/PAD-codes/LLaDA-PAD/generate-PAD.py b7cee2ce433da95c 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/modeling_mmada.py 65934529afeabeff unverified no licence file found · pointer only
ρ-EOS: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs added by Syntology 2026-01 (from id) yjyddq/rho-EOS/models/LLaDA.py e0d3b8594adea583 unverified Apache-2.0 (permissive)
Revealing the Attention Floating Mechanism in Masked Diffusion Models added by Syntology 2026-01 (from id) NEUIR/Attention-Floating/src/attention_extraction/Llada.py 623e32f834b5c999 unverified no licence file found · pointer only
CD 4 LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models added by Syntology 2026-01 (from id) yihao-liang/CDLM/evaluation/dllm_eval/models/LLaDA.py e0d3b8594adea583 unverified Apache-2.0 (permissive)
KLASS: KL-Guided Fast Inference in Masked Diffusion Models added by Syntology 2025-11 (from id) identical code first harvested elsewhere 6f22da9cc766ffbe ran · our draft was wrong licence of this copy not recorded
Beyond Static Cutoffs: One-Shot Dynamic Thresholding for Diffusion Language Models added by Syntology 2025-11 (from id) jackshen-1215/osdt/osdt/llada_generate_osdt.py e5fea1962f28fc68 ran · our draft was wrong no licence file found · pointer only
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning added by Syntology 2025-09 (from id) ybseo-ac/Conv/generate_yb.py 6f22da9cc766ffbe ran · our draft was wrong no licence file found · pointer only
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning added by Syntology 2025-09 (from id) ybseo-ac/Conv/gen1_2_answer_generation_llada.py befea8ff69c3c190 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/generate.py 6f22da9cc766ffbe ran · our draft was wrong Apache-2.0 (permissive)
The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs 15 Jul 2025 zichenwen1/dija/MMaDA/models/modeling_mmada.py 65934529afeabeff unverified Apache-2.0 (permissive)
arXiv:2506.15735 2025-06 (from id) lasr-eliciting-contexts/ContextBench/src/contextbench/llada/generate.py 6f22da9cc766ffbe ran · our draft was wrong no licence file found · pointer only
dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching 17 May 2025 maomaocun/dLLM-cache/demo_MMada_cache.py ab0375db4fa54d7c unverified Apache-2.0 (permissive)
MMaDA: Multimodal Large Diffusion Language Models 21 May 2025 Gen-Verse/MMaDA/generate.py 6f22da9cc766ffbe ran · our draft was wrong MIT (permissive)
MMaDA: Multimodal Large Diffusion Language Models 21 May 2025 Gen-Verse/MMaDA/models/modeling_mmada.py 65934529afeabeff unverified MIT (permissive)
Large Language Diffusion Models 14 Feb 2025 ml-gsai/llada/generate.py 6f22da9cc766ffbe ran · our draft was wrong 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".

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