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get_layer_id_for_vit

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

get_layer_id_for_vit appears in the code Syntology harvested for 25 papers, as 9 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 24 of the papers; 7 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_layer_id_for_vit 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 9 distinct code bodies named get_layer_id_for_vit; 1 is 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
1unverified
7fingerprinted

Licence is a property of each copy, so it is counted per place: 9 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

25 papers shown of 25, 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 1 papers added by Syntology; 4 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 89edf5372214b57d ran fingerprinted no licence file found · pointer only
arXiv:2507.23284 2025-07 (from id) mlvlab/BLiM/util/lr_decay.py 89edf5372214b57d ran fingerprinted MIT (permissive)
SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes 13 Jun 2025 ta012/SSLAM/SSLAM_Inference/models/EAT_audio_classification.py 3f903f847b8f7f28 ran fingerprinted MIT (permissive)
EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning 17 Oct 2024 cs20s030/ehmam/models/mae_image_classification.py 3f903f847b8f7f28 ran fingerprinted MIT (permissive)
On the Role of Discrete Tokenization in Visual Representation Learning 12 Jul 2024 PKU-ML/ClusterMIM/util/lr_decay.py 89edf5372214b57d ran fingerprinted no licence file found · pointer only
HRSAM: Efficient Interactive Segmentation in High-Resolution Images 2 Jul 2024 youhuang67/high-resolution-segment-anything/engine/optimizers/vit_layer_decay_optimizer_constructor.py edd0eeba72aaf5e9 ran fingerprinted 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 89edf5372214b57d ran fingerprinted MIT (permissive)
Autoregressive Pretraining with Mamba in Vision 11 Jun 2024 oliverrensu/arm/Finetuning/util/lr_decay.py eb92a366c8f04e0b ran fingerprinted 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 89edf5372214b57d ran fingerprinted 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 4dc83c19abd8e708 ran fingerprinted 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 89edf5372214b57d ran fingerprinted 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 d8ee7a4b251eb3a4 ran no licence file found · pointer only
Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation 30 Jan 2024 ruipingl/miss/semseg/optimizers_multimae.py 827954aa7616e70d ran fingerprinted 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 d94135dc22062b8d ran fingerprinted Apache-2.0 (permissive)
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer 7 Jan 2024 cwx-worst-one/eat/models/EAT_audio_classification.py 3f903f847b8f7f28 ran fingerprinted MIT (permissive)
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions 7 Sep 2023 Haochen-Wang409/DropPos/util/lr_decay.py 89edf5372214b57d ran fingerprinted Apache-2.0 (permissive)
CLIP-Count: Towards Text-Guided Zero-Shot Object Counting 12 May 2023 songrise/clip-count/util/lr_decay.py 89edf5372214b57d ran fingerprinted MIT (permissive)
SegGPT: Segmenting Everything In Context 6 Apr 2023 baaivision/painter/Painter/util/lr_decay.py 89edf5372214b57d ran fingerprinted MIT (permissive)
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling 4 Mar 2023 open-mmlab/mmselfsup/mmselfsup/engine/optimizers/layer_decay_optim_wrapper_constructor.py ce4ee2e9f80b87bf unverified Apache-2.0 (permissive)
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models 26 Jan 2023 1zb/3dshape2vecset/util/lr_decay.py 89edf5372214b57d ran fingerprinted MIT (permissive)
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language 14 Dec 2022 ashutosh1919/data2vec-pytorch/data2vec/models/mae_image_classification.py 3f903f847b8f7f28 ran fingerprinted MIT (permissive)
MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth 4 Aug 2022 ewrfcas/mvsformer/models/lr_decay.py d94135dc22062b8d ran fingerprinted 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 89edf5372214b57d ran fingerprinted Apache-2.0 (permissive)
arXiv:aaai_25300 qiy20/SAIM/util/lr_decay.py 89edf5372214b57d ran fingerprinted MIT (permissive)
arXiv:Yang_TULIP_Transformer_for_Upsampling_of_LiDAR_Point_Clouds_CVPR_2024_paper ethz-asl/TULIP/tulip/util/lr_decay.py 89edf5372214b57d ran fingerprinted MIT (permissive)
arXiv:Wang_Harnessing_Massive_Satellite_Imagery_with_Efficient_Masked_Image_Modeling_ICCV_2025_paper MiliLab/SelectiveMAE/SelectiveMAE/util/lr_decay.py 89edf5372214b57d ran fingerprinted 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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