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Pruner

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

Pruner appears in the code Syntology harvested for 8 papers, as 11 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 4 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 Pruner 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 4 of the 11 distinct code bodies named Pruner; 7 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
4ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 11 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

8 papers shown of 8, newest first; 11 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. 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
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning 18 May 2025 gszfwsb/Data-Whisperer/pruning/datawhisperer_gsm_pruner.py 1e53a03eb50382c7 unverified no licence file found · pointer only
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning 8 Apr 2024 FarinaMatteo/multiflow/pruners/multiflow.py f790d340a0df644e unverified no licence file found · pointer only
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance 25 Jun 2022 qingruzhang/platon/Pruner.py c86186f05d9ac2cd ran no licence file found · pointer only
Zeroth-Order Topological Insights into Iterative Magnitude Pruning 14 Jun 2022 ganguli-lab/Synaptic-Flow/Pruners/pruners.py 25100e43d36881c9 ran no licence file found · pointer only
Neural Response Interpretation through the Lens of Critical Pathways 31 Mar 2021 CAMP-eXplain-AI/PathwayGrad/src/Pruner.py f347c8b42ab4d75b unverified no licence file found · pointer only
Neural Pruning via Growing Regularization 16 Dec 2020 mingsun-tse/regularization-pruning/pruner/reg_pruner.py 3d649921f02ecc11 unverified no licence file found · pointer only
Pruning neural networks without any data by iteratively conserving synaptic flow 9 Jun 2020 pvh1602/npb/Pruners/pruners.py e28e1790d31fe600 ran no licence file found · pointer only
Pruning neural networks without any data by iteratively conserving synaptic flow 9 Jun 2020 Hoonyyhoon/Comparison-of-Synflow_SNIP_GraSP/pruning_method/Synflow.py 80f512af69686019 unverified no licence file found · pointer only
Pruning neural networks without any data by iteratively conserving synaptic flow 9 Jun 2020 iurada/px-ntk-pruning/lib/pruners.py 895223082b0c7453 unverified no licence file found · pointer only
Pruning Filters for Efficient ConvNets 31 Aug 2016 marcoancona/TorchPruner/torchpruner/pruner/pruner.py 5d815bc1bdb41c80 ran MIT (permissive)
Pruning Filters for Efficient ConvNets 31 Aug 2016 mingsun-tse/regularization-pruning/pruner/l1_pruner.py eb229809230a2c98 unverified no licence file found · pointer only

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