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get_model_name

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

get_model_name appears in the code Syntology harvested for 34 papers, as 30 distinct code bodies found in 34 places (a place is one code body under one paper). At least one of them ran in 19 of the papers; 6 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_model_name 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 15 of the 30 distinct code bodies named get_model_name; 15 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
11ran
15unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 18 of the 34 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

34 papers shown of 34, newest first; 34 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 3 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
MORE: A Multilingual Document Parsing Benchmark and Evaluation added by Syntology 2026-07 (from id) datalab-to/surya/surya/common/s3.py 072e0940fa122b3f ran fingerprinted Apache-2.0 (permissive)
Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks added by Syntology 2026-05 (from id) KaiSUN1/SeAl/util/util.py fcccc187a7be3a11 ran no licence file found · pointer only
From Emotion Classification to Emotional Reasoning: Enhancing Emotional Intelligence in Large Language Models added by Syntology 2026-01 (from id) kernelism/EC2ER/benchmarking/src/utils.py 0be6dda5781c9d6a unverified no licence file found · pointer only
Learning Safety Constraints for Large Language Models 30 May 2025 lasgroup/safetypolytope/src/safety_polytope/polytope/run_beaver_pipeline.py 62806d4fb43f035c ran · our draft was wrong no licence file found · pointer only
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling 10 Feb 2025 RyanLiu112/compute-optimal-tts/src/utils.py 5e9f6ab031880280 unverified MIT (permissive)
Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs 17 Oct 2024 guotianyu2000/active-dormant-attention/BBM/probe_utils.py a8e3f941e9a634be unverified no licence file found · pointer only
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation 15 Oct 2024 Tab-ct/rate-based-backpropagation/util/util.py 2c6f2c0e6aa70305 ran no licence file found · pointer only
Training on the Test Task Confounds Evaluation and Emergence 10 Jul 2024 socialfoundations/training-on-the-test-task/experiments/model_utils.py 3b85469ad66d264c unverified no licence file found · pointer only
EVCL: Elastic Variational Continual Learning with Weight Consolidation 23 Jun 2024 hunarbatra/elastic-variational-continual-learning/utils/util.py 2ccac566feff6793 ran no licence file found · pointer only
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search 24 May 2024 nicoladainese96/code-world-models/src/code_helpers.py dd770f42923f6594 ran fingerprinted Apache-2.0 (permissive)
Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internals 8 May 2024 sevdeawesome/POSER/src/detection_strategies/concepts.py eb631322a59b043e ran fingerprinted no licence file found · pointer only
Don't Say No: Jailbreaking LLM by Suppressing Refusal 25 Apr 2024 dsn-2024/dsn/eval_ensemble_src/launch_majority_eval.py 62b1b9e91747c5fc ran fingerprinted licence not identified · pointer only
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM 14 Feb 2024 opengvlab/multi-modality-arena/LVLM_evaluation/Multi_turn_Reasoning/lib/llava_lib.py ae0020125496f261 ran fingerprinted no licence file found · pointer only
Feedback Loops With Language Models Drive In-Context Reward Hacking 9 Feb 2024 aypan17/llm-feedback/policy-refinement/toolemu/utils/llm.py 6eb6bddfebc2ae76 unverified no licence file found · pointer only
Utilizing Explainability Techniques for Reinforcement Learning Model Assurance 27 Nov 2023 mitre/arlin/arlin/adversarial/utils.py ffd1842a410ba4a7 ran licence not identified · pointer only
Quantifying the Plausibility of Context Reliance in Neural Machine Translation 2 Oct 2023 gsarti/pecore/pecore/model_utils.py d8eaed17dffaccf9 ran Apache-2.0 (permissive)
arXiv:2308.08231 2023-08 (from id) ZhangCYG/DDFHO/nnutils/model_utils.py 4631495a983f26fb ran no licence file found · pointer only
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows 3 Apr 2023 tumbais/euro-meets-neurips-2022/training/run_training.py 9153250275162f98 ran · our draft was wrong MIT (permissive)
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet 23 Feb 2023 mdabbah/COOD_benchmarking/utils/input_handling_utilities.py e5b91eff514199b2 unverified MIT (permissive)
The Missing Indicator Method: From Low to High Dimensions 16 Nov 2022 mvanness354/missing_indicator_method/run_scripts/openml_real_missing.py 8a48908dbe82c838 unverified Apache-2.0 (permissive)
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement 31 Jul 2022 GoldExcalibur/EdgeTrans4Mark/lib/core/config.py 9ff2eaab2a0fd2d7 unverified MIT (permissive)
Global-Local Self-Distillation for Visual Representation Learning 29 Jul 2022 tileb1/global-local-self-distillation/config/models.py f2a753560fea8427 unverified MIT (permissive)
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection 22 Jul 2022 AlvinYH/Faster-VoxelPose/lib/core/config.py d17d3275b0d68f59 unverified MIT recorded; this copy not marked cleared · pointer only
StrongSORT: Make DeepSORT Great Again 28 Feb 2022 goksenin-uav/strongsort-pip/strongsort/reid_model_factory.py c5cdc64a6b2b4eee ran · our draft was wrong fingerprinted MIT (permissive)
LyaNet: A Lyapunov Framework for Training Neural ODEs 5 Feb 2022 identical code first harvested elsewhere 2f26b981f0269a1c ran · our draft was wrong licence of this copy not recorded
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers 31 May 2021 VikParuchuri/surya/surya/common/s3.py 072e0940fa122b3f ran fingerprinted Apache-2.0 (permissive)
SiamMOT: Siamese Multi-Object Tracking 25 May 2021 amazon-research/siam-mot/siammot/utils/get_model_name.py 54de398925a0ad14 unverified Apache-2.0 (permissive)
Learning by Turning: Neural Architecture Aware Optimisation 14 Feb 2021 identical code first harvested elsewhere 2f26b981f0269a1c ran · our draft was wrong licence of this copy not recorded
Continuous-in-Depth Neural Networks 5 Aug 2020 ivandariojr/lyapunovlearning/sl_pipeline.py 2f26b981f0269a1c ran · our draft was wrong no licence file found · pointer only
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch 22 Oct 2019 goksenin-uav/torchreid-pip/torchreid/reid_model_factory.py cf3733baa04cf0eb unverified MIT (permissive)
Learning Generalisable Omni-Scale Representations for Person Re-Identification 15 Oct 2019 jacobtyo/mudd/tools/export.py c5cdc64a6b2b4eee ran · our draft was wrong fingerprinted no licence file found · pointer only
Finding Generalizable Evidence by Learning to Convince Q&A Models 12 Sep 2019 ethanjperez/convince/ParlAI/parlai/core/params.py 7e67cccea94d1090 unverified Apache-2.0 (permissive)
Deep High-Resolution Representation Learning for Human Pose Estimation 25 Feb 2019 Microsoft/human-pose-estimation.pytorch/lib/core/config.py 18f7aa997852bcc0 unverified MIT (permissive)
arXiv:Liao_Multiple_View_Geometry_Transformers_for_3D_Human_Pose_Estimation_CVPR_2024_paper XunshanMan/MVGFormer/lib/core/config.py 8ea4ed628fb4a1a1 unverified Apache-2.0 (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