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param_groups_lrd

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

param_groups_lrd appears in the code Syntology harvested for 22 papers, as 10 distinct code bodies found in 23 places (a place is one code body under one paper). At least one of them ran in 20 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 param_groups_lrd 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 10 distinct code bodies named param_groups_lrd; 2 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
8ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 23 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; 23 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; 5 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
Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification added by Syntology 2026-06 (from id) NikolaCenic/ecg-stenosis-cls/finetune/util/lr_decay.py 8baf25cef41cba16 ran no licence file found · pointer only
arXiv:2507.23284 2025-07 (from id) mlvlab/BLiM/util/lr_decay.py 8baf25cef41cba16 ran MIT (permissive)
On the Role of Discrete Tokenization in Visual Representation Learning 12 Jul 2024 PKU-ML/ClusterMIM/util/lr_decay.py 8baf25cef41cba16 ran no licence file found · pointer only
Scaling Efficient Masked Image Modeling on Large Remote Sensing Dataset 17 Jun 2024 Fengxiang23/SelectiveMAE/SelectiveMAE/util/lr_decay.py 8baf25cef41cba16 ran MIT (permissive)
Autoregressive Pretraining with Mamba in Vision 11 Jun 2024 oliverrensu/arm/Finetuning/util/lr_decay.py 527f0d1b1937b52f ran no licence file found · pointer only
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips 15 Feb 2024 biclab/spike-driven-transformer-v2/classification/util/lr_decay.py 8baf25cef41cba16 ran no licence file found · pointer only
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips 15 Feb 2024 biclab/spike-driven-transformer-v2/classification/util/lr_decay_spikformer.py e342f0fada7f4f1e ran no licence file found · pointer only
Key Patch Proposer: Key Patches Contain Rich Information 18 Feb 2024 CA-TT-AC/key-patch-proposer/util/lr_decay.py 8baf25cef41cba16 ran no licence file found · pointer only
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models 6 Feb 2024 ggjy/vision_weak_to_strong/classification/layer_decay.py 591e8117f788fa7a ran no licence file found · pointer only
Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation 30 Jan 2024 ruipingl/miss/semseg/optimizers_multimae.py 7ec85d00c41e8b49 ran no licence file found · pointer only
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo 22 Jan 2024 maybelx/mvsformerplusplus/models/lr_decay.py 904eb124a1c06ae8 ran Apache-2.0 (permissive)
Three Pillars improving Vision Foundation Model Distillation for Lidar 26 Oct 2023 valeoai/scalr/finetune.py 0df1faebd15a15fa ran licence not identified · pointer only
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions 7 Sep 2023 Haochen-Wang409/DropPos/util/lr_decay.py 85f8b25dc390a596 ran Apache-2.0 (permissive)
CLIP-Count: Towards Text-Guided Zero-Shot Object Counting 12 May 2023 songrise/clip-count/util/lr_decay.py 8baf25cef41cba16 ran MIT (permissive)
SegGPT: Segmenting Everything In Context 6 Apr 2023 baaivision/painter/Painter/util/lr_decay.py 8baf25cef41cba16 ran MIT (permissive)
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models 26 Jan 2023 1zb/3dshape2vecset/util/lr_decay.py 8baf25cef41cba16 ran MIT (permissive)
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data 23 Nov 2022 hirl-team/eurnet-image/eurnet/utils/misc.py 915ef88ed1bd4765 unverified MIT (permissive)
MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth 4 Aug 2022 ewrfcas/mvsformer/models/lr_decay.py 904eb124a1c06ae8 ran Apache-2.0 (permissive)
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding 26 May 2021 freder-chen/vitp/util/lr_decay.py 8baf25cef41cba16 ran Apache-2.0 (permissive)
arXiv:aaai_25300 qiy20/SAIM/util/lr_decay.py 8baf25cef41cba16 ran MIT (permissive)
arXiv:Yang_TULIP_Transformer_for_Upsampling_of_LiDAR_Point_Clouds_CVPR_2024_paper ethz-asl/TULIP/tulip/util/lr_decay.py 8baf25cef41cba16 ran MIT (permissive)
arXiv:Wang_Harnessing_Massive_Satellite_Imagery_with_Efficient_Masked_Image_Modeling_ICCV_2025_paper MiliLab/SelectiveMAE/SelectiveMAE/util/lr_decay.py 8baf25cef41cba16 ran MIT (permissive)
arXiv:Bergner_Token_Cropr_Faster_ViTs_for_Quite_a_Few_Tasks_CVPR_2025_paper benbergner/cropr/cls/utils.py 2363ae78b32c872b 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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