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get_c4

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

get_c4 appears in the code Syntology harvested for 41 papers, as 34 distinct code bodies found in 46 places (a place is one code body under one paper). At least one of them ran in 3 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_c4 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 34 distinct code bodies named get_c4; 32 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
2ran
32unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 16 of the 46 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

41 papers shown of 41, newest first; 46 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; 8 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
Garbage Attention in Large Language Models: <BOS> Sink Heads and Sink-aware Pruning added by Syntology 2026-01 (from id) CASIA-LMC-Lab/FLAP/lib/prune.py 6ccf0fe3fd4574d5 unverified Apache-2.0 (permissive)
PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Fine-Grained Expert Merging and Bit-packed Inference added by Syntology 2025-11 (from id) Supercomputing-System-AI-Lab/PuzzleMoE/puzzlemoe/utils/merge_experts_function.py 60d24b07d3b90b7c unverified Apache-2.0 (permissive)
arXiv:2507.23279 2025-07 (from id) ZunhaiSu/Super-Experts-Profilling/data_utils.py 709a6f261dbed787 unverified no licence file found · pointer only
arXiv:2506.09351 2025-06 (from id) yuchenblah/DIVE/prune/lib/calidata_random.py 92ee6796edcd33e1 unverified Apache-2.0 (permissive)
arXiv:2506.09351 2025-06 (from id) yuchenblah/DIVE/prune/lib/calidata_select_8.py fe56cd1859314741 unverified Apache-2.0 (permissive)
SAFE: Finding Sparse and Flat Minima to Improve Pruning 7 Jun 2025 LOG-postech/safe-torch/language/lib/prune.py d53a6dae4f8104ea unverified MIT (permissive)
DLP: Dynamic Layerwise Pruning in Large Language Models 27 May 2025 ironartisan/dlp/lib/prune.py c668683d68ff5099 unverified Apache-2.0 (permissive)
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment 15 Nov 2024 GATECH-EIC/AmoebaLLM/width_shrink/data.py 7630a157a3b32ab9 unverified MIT (permissive)
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models 23 Oct 2024 OPTML-Group/WAGLE/src/dataset/dataset.py 7630a157a3b32ab9 unverified MIT (permissive)
Quamba: A Post-Training Quantization Recipe for Selective State Space Models 17 Oct 2024 enyac-group/quamba/quamba/data_loaders.py eb9d2957b3161128 ran licence not identified · pointer only
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression 12 Oct 2024 mohammad-mozaffari/slim/slim/data.py ddc3bcb5e5b4ab8d unverified MIT (permissive)
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models 26 Sep 2024 NVlabs/MaskLLM/eval_llama_ppl.py 7630a157a3b32ab9 unverified no licence file found · pointer only
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models 10 Jul 2024 opengvlab/efficientqat/datautils_block.py 2d9448699cce6e63 unverified MIT (permissive)
LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid 14 Jul 2024 LeanModels/LeanQuant/datautils.py 86ac8f1de9c0550b unverified no licence file found · pointer only
Composable Interventions for Language Models 9 Jul 2024 hartvigsen-group/composable-interventions/sparsellm/lib/data.py 823f33725cd8f75d unverified no licence file found · pointer only
Composable Interventions for Language Models 9 Jul 2024 hartvigsen-group/composable-interventions/sparsellm/lib/datautils.py 1ebe223f71f863bc unverified no licence file found · pointer only
LLMBox: A Comprehensive Library for Large Language Models 8 Jul 2024 RUCAIBox/LLMBox/training/gptq.py 3a8ad8ccd4b56839 unverified MIT (permissive)
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization 21 Jun 2024 log-postech/rethinking-llm-pruning/lib/data.py 112fa6e5a362cc14 unverified no licence file found · pointer only
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox 15 Jun 2024 tsingmaoai/mi-optimize/mi_optimize/datasets/data_loader.py 0f169d61e5b5e02a unverified licence not identified · pointer only
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization 10 Jun 2024 gatech-eic/shiftaddllm/datautils.py 3b7f82daf1a2f6d5 unverified Apache-2.0 (permissive)
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models 5 Jun 2024 pprp/pruner-zero/lib/data.py a271ec700d8df453 unverified MIT (permissive)
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning 28 Apr 2024 optml-group/soul/src/dataset/dataset.py 7630a157a3b32ab9 unverified MIT (permissive)
FrameQuant: Flexible Low-Bit Quantization for Transformers 10 Mar 2024 vsingh-group/framequant/datautils.py 4d29e98e5f0e4149 unverified no licence file found · pointer only
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation 18 Feb 2024 linkanonymous/besa/utils/data.py 51a53fa33d2d9a6f unverified no licence file found · pointer only
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference 14 Feb 2024 hdong920/less/src/data_processing.py e17b6c1ff661e9bd unverified no licence file found · pointer only
Fast and Effective Weight Update for Pruned Large Language Models 1 Jan 2024 fmfi-compbio/admm-pruning/lib/data.py 112fa6e5a362cc14 unverified MIT (permissive)
The LLM Surgeon 28 Dec 2023 qualcomm-ai-research/llm-surgeon/datautils.py 4b6dab2040cdb423 unverified BSD-3-Clause-Clear · pointer only
Fluctuation-based Adaptive Structured Pruning for Large Language Models 19 Dec 2023 casia-iva-lab/flap/lib/data.py 6ccf0fe3fd4574d5 unverified Apache-2.0 (permissive)
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models 8 Nov 2023 rocktimjyotidas/gblm-pruner/gradient_computation.py 362bd8bd1eddbfc5 unverified MIT (permissive)
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models 8 Nov 2023 rocktimjyotidas/gblm-pruner/lib/data.py 5cbbb830025b49e7 unverified MIT (permissive)
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving 29 Oct 2023 efeslab/atom/model/datautils.py eb9d2957b3161128 ran no licence file found · pointer only
QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models 13 Oct 2023 ist-daslab/quik/experiments/datautils.py 980b7a8e42ae4a52 ran Apache-2.0 (permissive)
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs 13 Oct 2023 zyxxmu/dsnot/lib/prune.py 7630a157a3b32ab9 unverified no licence file found · pointer only
Compressing LLMs: The Truth is Rarely Pure and Never Simple 2 Oct 2023 VITA-Group/llm-kick/GPTQ_experiment/lib/data.py c00c627524c6a86f unverified no licence file found · pointer only
ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation 28 Jul 2023 lianjiatech/belle/models/gptq/datautils.py 91dba77fa391e15e unverified Apache-2.0 (permissive)
Llama 2: Open Foundation and Fine-Tuned Chat Models 18 Jul 2023 squeezeailab/squeezellm/squeezellm/datautils.py 92dc709e4e73e133 unverified MIT (permissive)
A Simple and Effective Pruning Approach for Large Language Models 20 Jun 2023 crystaleye42/eval-safety/lib/prune.py 9660cb0c932e836e unverified MIT (permissive)
A Simple and Effective Pruning Approach for Large Language Models 20 Jun 2023 qiaoxiao7282/seft/lib/prune_all.py 112fa6e5a362cc14 unverified no licence file found · pointer only
A Simple and Effective Pruning Approach for Large Language Models 20 Jun 2023 locuslab/wanda/lib/prune.py 5a7a61a0235b3907 unverified MIT (permissive)
RPTQ: Reorder-based Post-training Quantization for Large Language Models 3 Apr 2023 hahnyuan/rptq4llm/datautils.py a7b3cccc9ad0d188 unverified MIT (permissive)
arXiv:openreview_d3RFDLBw01 AI2C-Lab/STLA/data_utils.py 3e8381ec040b34cc unverified Apache-2.0 (permissive)
arXiv:openreview_4iupzej9nT hikvision-research/STEP/step/lib/data.py 49637fd9dbf67223 unverified Apache-2.0 (permissive)
arXiv:aaai_28960 CASIA-IVA-Lab/FLAP/lib/data.py 6ccf0fe3fd4574d5 unverified Apache-2.0 (permissive)
arXiv:2025.acl-long.498 OpenGVLab/EfficientQAT/datautils_block.py 2d9448699cce6e63 unverified MIT (permissive)
arXiv:2024.findings-naacl.145 LianjiaTech/BELLE/models/gptq/datautils.py 91dba77fa391e15e unverified Apache-2.0 (permissive)
arXiv:2024.findings-emnlp.579 RazvanDu/DynamicSlicing/src/slicegpt/data.lib.py 7630a157a3b32ab9 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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