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topk

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

topk appears in the code Syntology harvested for 19 papers, as 16 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 3 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 topk 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 8 of the 16 distinct code bodies named topk; 8 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
1ran · fixture could not drive it
4ran
8unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 20 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

19 papers shown of 19, newest first; 20 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; 1 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
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving 2025-03 (from id) adept-thu/MomAD/close_loop/SparseDrive_MomAD/mmdet3d_plugin/models/instance_bank.py 82c79d0ad5cc7f82 unverified MIT (permissive)
MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks 8 Sep 2024 ngmlgroup/maxcutpool/source/layers/maxcutpool/utils.py 646276fb3a7e3cef ran MIT (permissive)
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks 6 Sep 2024 thinklab-sjtu/nar-co-solver/constraint_layers/blackbox_diff.py e45b3bd133c80889 ran fingerprinted no licence file found · pointer only
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation 2 Sep 2024 jiiahaoxu/lasa/algorithms/defense/lasa.py 891977b6cd73a3c7 ran · our draft was wrong no licence file found · pointer only
BM25S: Orders of magnitude faster lexical search via eager sparse scoring 4 Jul 2024 xhluca/bm25s/bm25s/selection.py 679762797d78948e ran MIT (permissive)
BM25S: Orders of magnitude faster lexical search via eager sparse scoring 4 Jul 2024 xhluca/bm25s/bm25s/numba/selection.py 95129e49e1d55862 ran MIT (permissive)
Neural Conditional Probability for Uncertainty Quantification 1 Jul 2024 CSML-IIT-UCL/NCP/NCP/model.py 5cb70d0fe9e95c27 ran · fixture could not drive it fingerprinted no licence file found · pointer only
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation 30 May 2024 linxuewu/sparse4d/projects/mmdet3d_plugin/models/instance_bank.py 82c79d0ad5cc7f82 unverified MIT (permissive)
SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras 15 Mar 2024 nullmax-vision/SimPB/projects/mmdet3d_plugin/models/instance_bank.py 82c79d0ad5cc7f82 unverified Apache-2.0 (permissive)
Unleashing the Power of Visual Prompting At the Pixel Level 20 Dec 2022 ucsc-vlaa/evp/util/tool.py 228b4da98f348fbe unverified MIT (permissive)
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification 20 Jun 2022 mpatacchiola/contextual-squeeze-and-excitation/run_metadataset.py c45c8d2bc5ca679d ran · our draft was wrong MIT (permissive)
Active Learning Helps Pretrained Models Learn the Intended Task 18 Apr 2022 alextamkin/active-learning-pretrained-models/utils/train_test_common.py 228b4da98f348fbe unverified Apache-2.0 (permissive)
On Transferability of Prompt Tuning for Natural Language Processing 12 Nov 2021 thunlp/Prompt-Transferability/Prompt-Transferability-1.0/activate_neuron_Roberta.py a8bc7776c327cfc2 unverified MIT (permissive)
TOD: GPU-accelerated Outlier Detection via Tensor Operations 26 Oct 2021 yzhao062/pytod/pytod/models/basic_operators.py 249caf5cbdf72a39 unverified BSD-2-Clause (permissive)
Unsupervised Deep Basis Pursuit: Learning inverse problems without ground-truth data 14 Feb 2020 utcsilab/deepinpy/deepinpy/utils/utils.py 512aa16f399b3b19 unverified MIT (permissive)
A System for Real-Time Interactive Analysis of Deep Learning Training 5 Jan 2020 microsoft/tensorwatch/tensorwatch/evaler_utils.py ff43ee11f61dfb71 unverified MIT (permissive)
Training-Time-Friendly Network for Real-Time Object Detection 2 Sep 2019 ximilar-com/xcenternet/xcenternet/model/decoder.py 116fc2a94a061185 unverified MIT (permissive)
Objects as Points 16 Apr 2019 xuannianz/keras-CenterNet/models/msra_resnet.py ecd3946b49d193b5 unverified Apache-2.0 (permissive)
Communication-efficient distributed SGD with Sketching 12 Mar 2019 dhroth/sketchedsgd/sketchedsgd/sketched_optimizer.py d82a6aaf1eb43adc ran · our draft was wrong fingerprinted GPL-3.0 (copyleft) · pointer only
arXiv:Lin_BIP3D_Bridging_2D_Images_and_3D_Perception_for_Embodied_Intelligence_CVPR_2025_paper HorizonRobotics/BIP3D/bip3d/models/instance_bank.py 82c79d0ad5cc7f82 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".

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