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continuous_gaussian_log_likelihood

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

continuous_gaussian_log_likelihood appears in the code Syntology harvested for 27 papers, as 2 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 27 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 continuous_gaussian_log_likelihood 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 2 distinct code bodies named continuous_gaussian_log_likelihood; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 14 of the 27 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

27 papers shown of 27, newest first; 27 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 2 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
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology 2026-06 (from id) vimar-gu/MinimaxDiffusion/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies added by Syntology 2026-03 (from id) RoboMME/MemoryVLA/action_model/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection 25 Mar 2025 farzad-bz/DeCo-Diff/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong MIT (permissive)
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search 31 Jan 2025 shim0114/T2V-Diffusion-Search/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong Apache-2.0 (permissive)
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising 7 Dec 2024 vainf/remix-dit/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning 19 Nov 2024 tsinghua-fib-lab/UrbanDiT/src/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong MIT (permissive)
MoH: Multi-Head Attention as Mixture-of-Head Attention 15 Oct 2024 SkyworkAI/MoH/MoH-DiT/diffusion/diffusion_utils.py 57848f6ed380e2e5 ran · our draft was wrong Apache-2.0 (permissive)
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer 14 Oct 2024 mit-han-lab/hart/hart/modules/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong MIT (permissive)
Dynamic Diffusion Transformer 4 Oct 2024 nus-hpc-ai-lab/dynamic-diffusion-transformer/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration 2 Oct 2024 modeltc/harmonica/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong Apache-2.0 (permissive)
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models 16 Sep 2024 yuchuantian/u-dit/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing 12 Sep 2024 DZY122/DiTAS/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong MIT (permissive)
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba 5 Aug 2024 yunxiangfu2001/lamamba-diff/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong MIT (permissive)
Few-shot Defect Image Generation based on Consistency Modeling 1 Aug 2024 ffdd-diffusion/defectdiffu/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
Scaling Diffusion Transformers to 16 Billion Parameters 16 Jul 2024 feizc/dit-moe/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration 1 Jul 2024 prathebaselva/fora/src/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers 25 Jun 2024 juanerx/q-dit/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
TerDiT: Ternary Diffusion Models with Transformers 23 May 2024 Lucky-Lance/TerDiT/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong MIT (permissive)
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models 6 Apr 2024 feizc/diffusion-rwkv/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts 14 Mar 2024 byeongjun-park/Switch-DiT/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong MIT (permissive)
ProLLaMA: A Protein Language Model for Multi-Task Protein Language Processing 2024-02 (from id) linzy19/taxdiff/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong MIT (permissive)
FiT: Flexible Vision Transformer for Diffusion Model 19 Feb 2024 whlzy/fit/fit/scheduler/improved_diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong Apache-2.0 (permissive)
Scalable Diffusion Models with State Space Backbone 8 Feb 2024 feizc/dis/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
DiffiT: Diffusion Vision Transformers for Image Generation 4 Dec 2023 nvlabs/diffit/diffit/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong no licence file found · pointer only
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion 26 Jun 2023 identical code first harvested elsewhere ab1c9568b4e13899 ran · our draft was wrong licence of this copy not recorded
VDT: General-purpose Video Diffusion Transformers via Mask Modeling 22 May 2023 rerv/vdt/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong licence not identified · pointer only
arXiv:aaai_29391 Jiahuiqu/LDS2AE/diffusion/diffusion_utils.py ab1c9568b4e13899 ran · our draft was wrong 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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