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jload

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

jload appears in the code Syntology harvested for 59 papers, as 12 distinct code bodies found in 60 places (a place is one code body under one paper). At least one of them ran in 52 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 jload 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 7 of the 12 distinct code bodies named jload; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
4ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 23 of the 60 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

59 papers shown of 59, newest first; 60 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 6 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
Modelpedia: A Catalog of Model Findings for the Meta-Science of AI added by Syntology 2026-09 (from id) tatsu-lab/stanford_alpaca/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
From Compression to Deployment: Real-Time and Energy-Efficient FastGRNN on Ultra-Constrained Microcontrollers added by Syntology 2026-06 (from id) emre1998/fastgrnn-har/analyze_bootstrap.py 2a1e46172a51de87 unverified Apache-2.0 (permissive)
AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering added by Syntology 2026-05 (from id) tatsu-lab/stanford_alpaca/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning NVIDIA added by Syntology 2026-04 (from id) NVIDIA-NeMo/Skills/nemo_skills/file_utils.py 8c48543062658550 unverified Apache-2.0 (permissive)
SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection added by Syntology 2026-03 (from id) Tangkexian/SPA/src/utils_tools/io_utils.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Exhaustive Circuit Mapping of a Single-Cell Foundation Model Reveals Massive Redundancy, Heavy-Tailed Hub Architecture, and Layer-Dependent Differentiation Control added by Syntology 2026-03 (from id) Biodyn-AI/sae-biological-map/src/revision/make_figures.py 8c0c8031ac6f0fc4 unverified MIT (permissive)
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset 23 Apr 2025 kipok/nemo-skills/nemo_skills/file_utils.py 8c48543062658550 unverified Apache-2.0 (permissive)
S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning 18 Feb 2025 nineabyss/s2r/code/utils.py 17c4e4f3635d3ee1 unverified MIT (permissive)
Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation 29 Jan 2025 git-disl/virus/datasets_visualizer.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models 16 Dec 2024 amourwaltz/ualign/code/utils.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Denial-of-Service Poisoning Attacks against Large Language Models 14 Oct 2024 sail-sg/p-dos/pdos_loss.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation 13 Oct 2024 lslland/t-vaccine/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
SecAlign: Defending Against Prompt Injection with Preference Optimization 7 Oct 2024 facebookresearch/secalign/struq.py 331e906ad5e247b9 ran licence not identified · pointer only
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data 2 Oct 2024 NVIDIA/NeMo-Skills/nemo_skills/file_utils.py 8c48543062658550 unverified Apache-2.0 (permissive)
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey 26 Sep 2024 git-disl/booster/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Synthetic continued pretraining 11 Sep 2024 zitongyang/synthetic_continued_pretraining/utils/io_utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning 27 Aug 2024 princeton-pli/Instruct-SkillMix/MAmmoTH/utils.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning 18 Aug 2024 git-disl/lisa/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Analyzing the Generalization and Reliability of Steering Vectors 17 Jul 2024 dtch1997/steering-bench/steering_bench/utils/io.py 856c8b4ec46ae412 ran no licence file found · pointer only
On Large Language Model Continual Unlearning 14 Jul 2024 GCYZSL/O3-LLM-UNLEARNING/ScienceQA_expriment/src/base_model_utils.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback 20 Jun 2024 kbsdjames/math-minos/train_reward.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
SinkLoRA: Enhanced Efficiency and Chat Capabilities for Long-Context Large Language Models 9 Jun 2024 identical code first harvested elsewhere d07d04439cd1d44f ran · our draft was wrong licence of this copy not recorded
GrootVL: Tree Topology is All You Need in State Space Model 4 Jun 2024 easonxiao-888/grootvl/GrootL/supervised-fine-tune.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention 27 May 2024 opennlplab/transnormerllm/fine-tune/utils.py 5c5247729979fd74 ran · our draft was wrong Apache-2.0 (permissive)
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention 27 May 2024 OpenNLPLab/TransnormerLLM/fine-tune/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Can LLMs Solve longer Math Word Problems Better? 23 May 2024 identical code first harvested elsewhere d07d04439cd1d44f ran · our draft was wrong licence of this copy not recorded
LIRE: listwise reward enhancement for preference alignment 22 May 2024 stevie1023/LIRE/train_alpaca_prompt.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning 5 May 2024 tongjingqi/MathTrap/train_math.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Exploring Backdoor Vulnerabilities of Chat Models 3 Apr 2024 hychaochao/chat-models-backdoor-attacking/Instructional_Model_Backdoor/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement 22 Mar 2024 squeezeailab/llm2llm/utils.py d07d04439cd1d44f ran · our draft was wrong MIT (permissive)
Unveiling the Generalization Power of Fine-Tuned Large Language Models 14 Mar 2024 lhryang/generalization_of_ft-llm/utils.py 220607d53f1814c7 ran no licence file found · pointer only
How Susceptible are Large Language Models to Ideological Manipulation? 18 Feb 2024 kaichen23/llm_ideo_manipulate/code/utils.py d07d04439cd1d44f ran · our draft was wrong MIT (permissive)
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models 16 Feb 2024 dheeraj7596/small2large/utils.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models 15 Feb 2024 lucius-lsr/nuteprune/tasks/alpaca.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Answer is All You Need: Instruction-following Text Embedding via Answering the Question 15 Feb 2024 zhang-yu-wei/inbedder/alpaca_train/utils.py d07d04439cd1d44f ran · our draft was wrong MIT (permissive)
StruQ: Defending Against Prompt Injection with Structured Queries 2024-02 (from id) sizhe-chen/struq/struq.py 331e906ad5e247b9 ran no licence file found · pointer only
WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning 20 Dec 2023 microsoft/wavecoder/src/train/utils.py d07d04439cd1d44f ran · our draft was wrong MIT (permissive)
Sparse is Enough in Fine-tuning Pre-trained Large Language Models 19 Dec 2023 song-wx/SIFT/exp/instruction_finetuning/utils.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Pragmatic Radiology Report Generation 28 Nov 2023 chicagohai/llm_radiology/utils_finetune.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
MoDS: Model-oriented Data Selection for Instruction Tuning 27 Nov 2023 casia-lm/mods/inference/utils.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection 17 Oct 2023 AkariAsai/self-rag/data_creation/train_special_tokens.py 3ca38f9acc00194b ran MIT (permissive)
Unlocking Emergent Modularity in Large Language Models 17 Oct 2023 qiuzh20/emoe/EMoE_LLaMA/utils.py d07d04439cd1d44f ran · our draft was wrong MIT (permissive)
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration 13 Oct 2023 fanqiwan/Explore-Instruct/train/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models 21 Sep 2023 dvlab-research/longlora/supervised-fine-tune-qlora.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models 21 Sep 2023 meta-math/MetaMath/train_math.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes 1 Sep 2023 starmpcc/asclepius/src/instruction_ft.py 0c9d19493ee33877 ran · our draft was wrong no licence file found · pointer only
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning 23 Aug 2023 mingliiii/cherry_llm/training/stanford_alpaca/utils.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models 13 Aug 2023 aiha-lab/TSLD/utils/alpaca_dataset.py d07d04439cd1d44f ran · our draft was wrong no licence file found · pointer only
Self-Alignment with Instruction Backtranslation 11 Aug 2023 davidkim205/komt/finetune_with_ds.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Extrapolating Large Language Models to Non-English by Aligning Languages 9 Aug 2023 NJUNLP/x-LLM/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
On the Exploitability of Instruction Tuning 28 Jun 2023 azshue/AutoPoison/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners 24 May 2023 xiaojuantang/icsr/finetune/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
Making Language Models Better Tool Learners with Execution Feedback 22 May 2023 identical code first harvested elsewhere d07d04439cd1d44f ran · our draft was wrong licence of this copy not recorded
Lion: Adversarial Distillation of Proprietary Large Language Models 22 May 2023 yjiangcm/lion/src/utils.py d07d04439cd1d44f ran · our draft was wrong MIT (permissive)
LLaMA: Open and Efficient Foundation Language Models 27 Feb 2023 aethercortex/llama-x/src/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features 14 Jun 2022 flipz357/S3BERT/src/data_helpers.py 1779ed436ac80094 unverified MIT (permissive)
arXiv:aaai_34662 maxindian/3D-RPE-Long-Contex-Modeling/sft_qlora_tuning.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
arXiv:aaai_29784 HITsz-TMG/Ext-Sub/training/utils.py d07d04439cd1d44f ran · our draft was wrong MIT (permissive)
arXiv:2024.naacl-long.132 Kent0n-Li/ChatDoctor/utils.py d07d04439cd1d44f ran · our draft was wrong Apache-2.0 (permissive)
arXiv:2024.findings-acl.388 SqueezeAILab/LLM2LLM/utils.py d07d04439cd1d44f ran · our draft was wrong 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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