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hash_args

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

hash_args appears in the code Syntology harvested for 46 papers, as 6 distinct code bodies found in 51 places (a place is one code body under one paper). At least one of them ran in 45 of the papers; 2 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 hash_args 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 2 of the 6 distinct code bodies named hash_args; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
0ran
4unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 19 of the 51 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

46 papers shown of 46, newest first; 51 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 8 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
Fine-Tuning of Transformer models with Frames added by Syntology 2026-08 (from id) vsingh-group/FrameFT/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference added by Syntology 2026-08 (from id) identical code first harvested elsewhere 20a7cc804eb22661 ran · our draft was wrong fingerprinted licence of this copy not recorded
MEMORYCARD: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answering added by Syntology 2026-06 (from id) NEUIR/MemoryCard/lmms_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning added by Syntology 2026-02 (from id) LivingFutureLab/CaCoVID/lmms_eval/lmms_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted no licence file found · pointer only
ρ-EOS: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs added by Syntology 2026-01 (from id) yjyddq/rho-EOS/dllm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs added by Syntology 2026-01 (from id) wzj1718/PlaM/Vision-Token-Masking/lmms_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted no licence file found · pointer only
CD 4 LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models added by Syntology 2026-01 (from id) yihao-liang/CDLM/evaluation/dllm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior added by Syntology 2025-12 (from id) yu-lin-li/DyToK/eval/lmms_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via Competition 19 May 2025 identical code first harvested elsewhere ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted licence of this copy not recorded
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora 10 Apr 2025 babylm/evaluation-pipeline/lm_eval/api/model.py de4e47a5e5126171 unverified MIT (permissive)
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning 9 Apr 2025 opengvlab/videochat-r1/Videochat-R1/lmms-eval_videochat/lmms_eval/api/model.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted no licence file found · pointer only
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs 7 Apr 2025 sunblaze-ucb/llm-api-audit/benchmark/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable 1 Mar 2025 git-disl/safety-tax/eval/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data 19 Feb 2025 identical code first harvested elsewhere 20a7cc804eb22661 ran · our draft was wrong fingerprinted licence of this copy not recorded
Small Models Struggle to Learn from Strong Reasoners 17 Feb 2025 Small-Model-Gap/Small-Model-Learnability-Gap/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
Large Language Diffusion Models 14 Feb 2025 identical code first harvested elsewhere 20a7cc804eb22661 ran · our draft was wrong fingerprinted licence of this copy not recorded
s1: Simple test-time scaling 31 Jan 2025 simplescaling/s1/eval/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces 18 Dec 2024 vision-x-nyu/thinking-in-space/lmms_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment 15 Nov 2024 GATECH-EIC/AmoebaLLM/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
On the Loss of Context-awareness in General Instruction Fine-tuning 5 Nov 2024 identical code first harvested elsewhere 20a7cc804eb22661 ran · our draft was wrong fingerprinted licence of this copy not recorded
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild 7 Oct 2024 Model-GLUE/Model-GLUE/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding 22 Sep 2024 identical code first harvested elsewhere 20a7cc804eb22661 ran · our draft was wrong fingerprinted licence of this copy not recorded
LIME: Less Is More for MLLM Evaluation 10 Sep 2024 kangreen0210/lime/lmms_eval/api/model.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted no licence file found · pointer only
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios 30 Aug 2024 opendatalab/urbench/lmms_eval/api/model.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted no licence file found · pointer only
On Large Language Model Continual Unlearning 14 Jul 2024 identical code first harvested elsewhere 20a7cc804eb22661 ran · our draft was wrong fingerprinted licence of this copy not recorded
Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation 4 Jul 2024 mansicer/Q-Adapter/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models 24 Jun 2024 abdelfattah-lab/shadow_llm/llm-interpret/lm-evaluation-harness/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted no licence file found · pointer only
Tokenization Falling Short: On Subword Robustness in Large Language Models 17 Jun 2024 floatai/tkeval/evaluation/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
BlockPruner: Fine-grained Pruning for Large Language Models 15 Jun 2024 MrGGLS/BlockPruner/lm_eval/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted no licence file found · pointer only
BlockPruner: Fine-grained Pruning for Large Language Models 15 Jun 2024 MrGGLS/BlockPruner/lm_eval/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted no licence file found · pointer only
A safety realignment framework via subspace-oriented model fusion for large language models 15 May 2024 xinykou/safety_realignment/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted no licence file found · pointer only
EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning 13 May 2024 yinzhu-quan/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation 1 Apr 2024 hdong920/griffin/src/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted no licence file found · pointer only
A Comprehensive Evaluation of Quantization Strategies for Large Language Models 26 Feb 2024 cordercorder/quant_eval/quant/SpQR/lm-evaluation-harness/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted no licence file found · pointer only
OneBit: Towards Extremely Low-bit Large Language Models 17 Feb 2024 xuyuzhuang11/OneBit/evaluation/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted MIT (permissive)
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference 14 Feb 2024 hdong920/less/src/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted no licence file found · pointer only
SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer Security 26 Dec 2023 zefang-liu/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
LAiW: A Chinese Legal Large Language Models Benchmark 9 Oct 2023 dai-shen/laiw/src/financial-evaluation/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted MIT (permissive)
Do prompt positions really matter? 23 May 2023 milliemaoo/prompt-position/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted MIT (permissive)
RPTQ: Reorder-based Post-training Quantization for Large Language Models 3 Apr 2023 hahnyuan/rptq4llm/models/models_utils.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted MIT (permissive)
Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams 29 Mar 2023 piresramon/gpt-4-enem/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted MIT (permissive)
A Few More Examples May Be Worth Billions of Parameters 8 Oct 2021 yuvalkirstain/lm-evaluation-harness/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted MIT (permissive)
Language Models are Few-Shot Learners 28 May 2020 Sypherd/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
Language Models are Few-Shot Learners 28 May 2020 vilm-ai/viet-llm-eval/lm_eval/api/model.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted MIT (permissive)
Language Models are Few-Shot Learners 28 May 2020 neuralmagic/lm-evaluation-harness/lm_eval/api/model.py 26519d22d8af6d48 unverified MIT (permissive)
Language Models are Few-Shot Learners 28 May 2020 EleutherAI/lm_evaluation_harness/lm_eval/api/model.py 72f5b387b64e9d9b unverified MIT (permissive)
Language Models are Few-Shot Learners 28 May 2020 juletx/lm-evaluation-harness/lm_eval/api/model.py 3e9d38ecacd03fa7 unverified MIT (permissive)
arXiv:openreview_QrC8OgQyOI viiika/Prism/LLaDA/LLaDA_Prism/dllm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
arXiv:2025.naacl-long.237 nbasyl/LLM-FP4/lm_eval/base.py ea06eaae4fc1eaf0 ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:2025.findings-acl.744 szu-tera/RankedVotingSC/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:2024.findings-emnlp.86 FloatAI/TKEval/evaluation/lm-evaluation-harness/lm_eval/api/model.py 20a7cc804eb22661 ran · our draft was wrong 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".

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