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get_module

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

get_module appears in the code Syntology harvested for 37 papers, as 22 distinct code bodies found in 37 places (a place is one code body under one paper). At least one of them ran in 18 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_module 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 9 of the 22 distinct code bodies named get_module; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
5ran
13unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 37 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

37 papers shown of 37, newest first; 37 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 5 papers added by Syntology; 3 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
HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning added by Syntology 2026-04 (from id) yangfanww/hiedit/util.py ccb869cda9ea80e6 ran · our draft was wrong no licence file found · pointer only
Decomposing Query-Key Feature Interactions Using Contrastive Covariances added by Syntology 2026-02 (from id) ajyl/QK/src/binding/C_lex.py 871dee43b37fa18a ran · our draft was wrong no licence file found · pointer only
Diving into Kronecker Adapters: Component Design Matters added by Syntology 2026-02 (from id) rainstonee/CDKA/lora_plus.py ef1ba16faaacbb49 unverified no licence file found · pointer only
Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models added by Syntology 2026-01 (from id) XiaojieGu/HORSE/editor/horse.py ccb869cda9ea80e6 ran · our draft was wrong no licence file found · pointer only
AceFF: A State-of-the-Art Machine Learning Potential for Small Molecules added by Syntology 2026-01 (from id) isayevlab/aimnetcentral/aimnet/models/aimnet2.py 9cdb3130232197c6 unverified MIT (permissive)
On the Role of Label Noise in the Feature Learning Process 25 May 2025 zzp1012/label-noise-theory/src/utils/tools.py 2c6366c32294dadd unverified MIT (permissive)
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry 3 Mar 2025 EkdeepSLubana/spadeFormalGrammars/utils/analysis.py bfa0b6ce30af730f ran MIT (permissive)
Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing 17 Dec 2024 keltin13/concept-rot/rot/compute_v.py 8953f9ef90cf6afd ran · our draft was wrong no licence file found · pointer only
ADOPT: Modified Adam Can Converge with Any $β_2$ with the Optimal Rate 5 Nov 2024 iShohei220/adopt/imagenet/presets.py b2ea55703711dd12 unverified Apache-2.0 (permissive)
Analyzing (In)Abilities of SAEs via Formal Languages 15 Oct 2024 Abhinav271828/pcfg-sae-causal-arr-oct24/utils/analysis.py bfa0b6ce30af730f ran no licence file found · pointer only
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing 9 Oct 2024 weichuanw/llm-based-mt-via-model-editing/Model_Editing_Adaptation/fv_task_adaptation/src/utils/intervention_utils.py 8953f9ef90cf6afd ran · our draft was wrong no licence file found · pointer only
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization 3 Oct 2024 chen123CtrlS/LightweightAtt/MyTrainer.py ef1ba16faaacbb49 unverified MIT (permissive)
LoRA-GA: Low-Rank Adaptation with Gradient Approximation 6 Jul 2024 outsider565/lora-ga/reproduce/lora_plus.py ef1ba16faaacbb49 unverified Apache-2.0 (permissive)
Unlocking Continual Learning Abilities in Language Models 25 Jun 2024 wenyudu/migu/src/accelerate_local.py 90776fe512a26186 ran MIT (permissive)
A Label is Worth a Thousand Images in Dataset Distillation 15 Jun 2024 sunnytqin/no-distillation/train_expert/presets.py b2ea55703711dd12 unverified no licence file found · pointer only
On Mechanistic Knowledge Localization in Text-to-Image Generative Models 2 May 2024 samyadeepbasu/locogen/trace_attn_layer.py 8953f9ef90cf6afd ran · our draft was wrong MIT (permissive)
Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives 15 Mar 2024 li-ronghui/LODGE/dld/models/get_model.py 1e0ebd96da8d14f9 unverified no licence file found · pointer only
Towards Adversarially Robust Dataset Distillation by Curvature Regularization 15 Mar 2024 yumozi/guard/pretrain/presets.py b2ea55703711dd12 unverified no licence file found · pointer only
LoRA+: Efficient Low Rank Adaptation of Large Models 19 Feb 2024 nikhil-ghosh-berkeley/loraplus/lora_plus.py ef1ba16faaacbb49 unverified MIT (permissive)
Learning Distributions on Manifolds with Free-Form Flows 15 Dec 2023 vislearn/FFF/fff/model/utils.py 62beb8156e773f1e ran MIT (permissive)
Steering Llama 2 via Contrastive Activation Addition 9 Dec 2023 steering-vectors/steering-vectors/steering_vectors/torch_utils.py f212fc11c8550e27 unverified MIT (permissive)
Generative Parameter-Efficient Fine-Tuning 1 Dec 2023 savadikarc/gift/language_modeling/math_code_instruct/lora_plus.py ef1ba16faaacbb49 unverified MIT (permissive)
Massive Editing for Large Language Models via Meta Learning 8 Nov 2023 chenmientan/malmen/util.py ccb869cda9ea80e6 ran · our draft was wrong no licence file found · pointer only
arXiv:2311.01015 2023-11 (from id) jpthu17/GraphMotion/GraphMotion/models/get_model.py 526e7520c87e4281 unverified Apache-2.0 (permissive)
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging 30 Oct 2023 chaudatascience/channel_adaptive_models/models/convnext_base_miro.py c8980fa1301b0ca7 ran MIT (permissive)
Function Vectors in Large Language Models 23 Oct 2023 ericwtodd/function_vectors/src/utils/intervention_utils.py 8953f9ef90cf6afd ran · our draft was wrong MIT (permissive)
HumanTOMATO: Text-aligned Whole-body Motion Generation 19 Oct 2023 IDEA-Research/HumanTOMATO/OpenTMA/tma/models/get_model.py 5acf2cc2e4bad9a2 ran licence not identified · pointer only
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models 26 Sep 2023 identical code first harvested elsewhere 8953f9ef90cf6afd ran · our draft was wrong licence of this copy not recorded
Semi-supervised learning made simple with self-supervised clustering 13 Jun 2023 pietroastolfi/suave-daino/suave/main_suave.py 7d52560c3f93bb3a unverified licence not identified · pointer only
Explaining How Transformers Use Context to Build Predictions 21 May 2023 mt-upc/logit-explanations/src/contributions.py 0b0bac3cd5d8d507 unverified Apache-2.0 (permissive)
Domain-aware Triplet loss in Domain Generalization 1 Mar 2023 workerbcd/dct/domainbed/backbones/new_networks.py c8980fa1301b0ca7 ran MIT (permissive)
A Closer Look at Few-shot Classification Again 28 Jan 2023 Frankluox/Pytorch-MetaDataset/models/build.py 2685107849023379 unverified MIT (permissive)
FLAIR #1: semantic segmentation and domain adaptation dataset 23 Nov 2022 IGNF/FLAIR-1-AI-Challenge/src/zone_detect/model.py b22bf961966c9438 unverified Apache-2.0 (permissive)
Rethinking Neural Operations for Diverse Tasks 29 Mar 2021 nick11roberts/XD/chrysalis/chrysalis.py e151df3b5424a3fb unverified Apache-2.0 (permissive)
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data 29 Mar 2021 jw9730/setvae/models/networks.py f5ca3e9834167675 ran · our draft was wrong MIT (permissive)
arXiv:openreview_AAWlum38oE 1202kbs/AYT/src/ayt/utils.py 4519681ef95f5e17 unverified MIT (permissive)
arXiv:2024.findings-emnlp.379 wenyudu/MIGU/src/accelerate_local.py 90776fe512a26186 ran 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".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections