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get_architectures_from_config_class

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

get_architectures_from_config_class appears in the code Syntology harvested for 29 papers, as 3 distinct code bodies found in 30 places (a place is one code body under one paper). At least one of them ran in 0 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_architectures_from_config_class 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 0 of the 3 distinct code bodies named get_architectures_from_config_class; 3 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
0ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 30 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

29 papers shown of 29, newest first; 30 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; 2 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
Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning added by Syntology 2026-03 (from id) takagi97/OXA-Fine-tuning/2-fine-tuning/transformers-4.51.0/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic added by Syntology 2025-10 (from id) iamkanghyunchoi/falqon/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified MIT (permissive)
Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens 20 Jun 2025 umass-embodied-agi/mirage/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Steering LLM Thinking with Budget Guidance 16 Jun 2025 umass-embodied-agi/budgetguidance/3rdparty/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified MIT (permissive)
Language Models Are Implicitly Continuous 4 Apr 2025 samuelemarro/continuous-llm-experiments/utils/create_dummy_models.py b176efb26f72e507 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Unveiling the Mechanisms of Explicit CoT Training: How CoT Enhances Reasoning Generalization 7 Feb 2025 chen123ctrls/t-cotmechanism/ControlledExperiments/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified MIT (permissive)
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment 15 Nov 2024 GATECH-EIC/AmoebaLLM/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified MIT (permissive)
Squeezed Attention: Accelerating Long Context Length LLM Inference 14 Nov 2024 SqueezeAILab/SqueezedAttention/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation 7 Nov 2024 lcs2-iiitd/monteclora/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified Apache-2.0 (permissive)
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models 1 Nov 2024 JayZhang42/SLED/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design 24 Oct 2024 VITA-Group/READ-ME/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Model Balancing Helps Low-data Training and Fine-tuning 16 Oct 2024 zihanghliu/modelbalancing/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Is Child-Directed Speech Effective Training Data for Language Models? 7 Aug 2024 styfeng/TinyDialogues/transformers/utils/create_dummy_models.py 4ac2af420b64a13a unverified MIT (permissive)
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps 9 Jul 2024 voidism/lookback-lens/transformers-4.32.0/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL 8 Jun 2024 aopolin-lv/DecisionMamba/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified Apache-2.0 (permissive)
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts 19 May 2024 byronbbl/deck/transformers-4.40.2/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts 19 May 2024 byronbbl/deck/transformers-4.28.1/utils/create_dummy_models.py 4ac2af420b64a13a unverified no licence file found · pointer only
Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically 25 Apr 2024 kabirahuja2431/transformers-hg/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Improving Open-Ended Text Generation via Adaptive Decoding 28 Feb 2024 zwhong714/adaptive_decoding/transformers-main/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation 27 Feb 2024 woosunghyeon/dropbp/huggingface/transformers_dropbp/utils/create_dummy_models.py b176efb26f72e507 unverified MIT (permissive)
OneBit: Towards Extremely Low-bit Large Language Models 17 Feb 2024 xuyuzhuang11/OneBit/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified MIT (permissive)
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models 16 Jan 2024 pangjh3/llm4mt/transformers/utils/create_dummy_models.py 4ac2af420b64a13a unverified no licence file found · pointer only
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully 11 Jan 2024 0-kaikai-0/sh2/transformers/utils/create_dummy_models.py 4ac2af420b64a13a unverified no licence file found · pointer only
Alleviating Hallucinations of Large Language Models through Induced Hallucinations 25 Dec 2023 hillzhang1999/icd/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified MIT (permissive)
An Analysis and Mitigation of the Reversal Curse 13 Nov 2023 trestad/mitigating-reversal-curse/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified no licence file found · pointer only
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning 23 Aug 2023 yegcjs/diffusionllm/transformers/utils/create_dummy_models.py 4ac2af420b64a13a unverified no licence file found · pointer only
Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions 17 May 2023 byungdoh/llm_decomposition/huggingface/utils/create_dummy_models.py a00c425fa9fa3aed unverified Apache-2.0 (permissive)
AdapterHub: A Framework for Adapting Transformers 15 Jul 2020 mklimasz/language-arithmetic/utils/create_dummy_models.py a00c425fa9fa3aed unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
arXiv:2024.findings-naacl.117 qqplot/dcpmi/transformers/utils/create_dummy_models.py b176efb26f72e507 unverified MIT (permissive)
arXiv:2024.findings-acl.699 CPJKU/ScaLearn/adapter-transformers/utils/create_dummy_models.py a00c425fa9fa3aed 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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