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summary

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

summary appears in the code Syntology harvested for 21 papers, as 17 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 1 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 summary 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 1 of the 17 distinct code bodies named summary; 16 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
1ran
16unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 21 places is 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

21 papers shown of 21, newest first; 21 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; 2 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
Stress-Testing Efficient Responsible-AI Evaluation: When Compute Savings Change Benchmark Conclusions added by Syntology 2026-08 (from id) VectorInstitute/sustainable-rai-evaluation/src/evaluation_has_a_footprint/metrics.py ce7f14457497f77f unverified Apache-2.0 (permissive)
SwipeGen: Bridging the Execution Gap in GUI Agents via Human-like Swipe Synthesis added by Syntology 2026-01 (from id) TSKGHS17/SwipeGen/SwipeGen/summary.py b025d64d0b92413d unverified Apache-2.0 (permissive)
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? 21 Aug 2024 sisinflab/graph-missing-modalities/feat_prop.py a4aef48505a13af8 ran no licence file found · pointer only
RMVPE: A Robust Model for Vocal Pitch Estimation in Polyphonic Music 2023-06 (from id) dream-high/rmvpe/src/utils.py b7e016a5781821f9 unverified Apache-2.0 (permissive)
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models 4 Mar 2022 microsoft/archai/archai/common/model_summary.py 6dcccf141eddda58 unverified MIT (permissive)
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation 27 Sep 2021 amritabh/conda-gen-text-detection/Generated-Text-Detector/RobertaDetect/utils.py 11fea78d0e70162a unverified MIT (permissive)
Can An Image Classifier Suffice For Action Recognition? 26 Jun 2021 ibm/sifar-pytorch/benchmark.py c5b12f7ac8a2a627 unverified Apache-2.0 (permissive)
NAAQA: A Neural Architecture for Acoustic Question Answering 11 Jun 2021 necotis/naaqa-acoustic-question-answering/models/torchsummary.py 07b0f0bc2092e0fb unverified Apache-2.0 (permissive)
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving 7 Mar 2020 TiagoCortinhal/SalsaNext/train/common/summary.py ec40714da483b8c4 unverified MIT (permissive)
word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement 12 Nov 2019 panaali/word2ket/word2ket/utils.py 88f6235e93c9e6a2 unverified BSD-3-Clause (permissive)
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing 22 Apr 2019 csmliu/STGAN/tflib/utils.py c97c0ccc10798ca5 unverified MIT (permissive)
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack 22 Nov 2018 elliothe/CVPR_2019_PNI/code/utils_/model_summary.py 6de508671f95b11e unverified Apache-2.0 (permissive)
Zero-Shot Dialog Generation with Cross-Domain Latent Actions 13 May 2018 snakeztc/NeuralDialog-ZSDG/zsdg/models/model_bases.py b3fcadd509d8c1e8 unverified Apache-2.0 (permissive)
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation 22 Apr 2018 snakeztc/NeuralDialog-LAED/laed/models/model_bases.py b3fcadd509d8c1e8 unverified Apache-2.0 (permissive)
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset 11 Oct 2017 wenxianxian/demvae/dgmvae/models/model_bases.py b3fcadd509d8c1e8 unverified Apache-2.0 (permissive)
Invertible Conditional GANs for image editing 19 Nov 2016 nguyenquangduc2000/AttGAN/tflib/utils.py c97c0ccc10798ca5 unverified MIT (permissive)
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 21 Jul 2015 nithyadurai87/pottan-ocr-tamil/ocropy/ocrolib/exceptions.py 4e697031db9e32d5 unverified MIT (permissive)
Very Deep Convolutional Networks for Large-Scale Image Recognition 4 Sep 2014 Vivswan/ECE-3195-Course-Project/src/summary.py cbf9b5b0d5c53ac4 unverified MIT (permissive)
Auto-Encoding Variational Bayes 20 Dec 2013 LynnHo/VAE-Tensorflow/tflib/utils.py 1d54d278ec5523b4 unverified MIT (permissive)
arXiv:Wang_Practical_Network_Acceleration_With_Tiny_Sets_CVPR_2023_paper DoctorKey/Practise/compute_flops.py 956278a0cf861715 unverified MIT (permissive)
arXiv:2023.acl-long.736 openai/gpt-2-output-dataset/detector/utils.py 11fea78d0e70162a 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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