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get_input

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

get_input appears in the code Syntology harvested for 20 papers, as 18 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 9 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_input 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 7 of the 18 distinct code bodies named get_input; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
4ran
11unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 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

20 papers shown of 20, 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, 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
SMART: A Spectral Transfer Approach to Multi-Task Learning added by Syntology 2026-04 (from id) boxinz17/smart/simulation/run_SMART.py c011ef8168be1e6a unverified MIT (permissive)
Collaborative Filtering Through Weighted Similarities of User and Item Embeddings added by Syntology 2026-04 (from id) UFSCar-LaSID/weighted-sims-recommender/src/parameters_handle.py 3734594e31457cbb unverified MIT (permissive)
Disentangling Polysemantic Channels in Convolutional Neural Networks 17 Apr 2025 visinf/disentangle-channels/disentangle_channel.py fb3704097288afa1 ran · our draft was wrong no licence file found · pointer only
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis 29 Oct 2024 DeepakSridhar/fgdm/controlnet/seg2image_inference.py 6d9f74466755a154 unverified licence not identified · pointer only
Needle In A Multimodal Haystack 11 Jun 2024 opengvlab/mm-niah/utils/tools.py d95b50a3f56470ad ran no licence file found · pointer only
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting 21 Mar 2024 rucaibox/chainlm/debate/debate4cot.py 9fecbd5be33d8972 ran no licence file found · pointer only
Why are Sensitive Functions Hard for Transformers? 15 Feb 2024 lacoco-lab/sensitivity-hardness/src/measurements.py adbaebf298f00696 ran MIT (permissive)
SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs 7 Aug 2023 findalexli/SciGraphQA/data_parsing/convert_llavav2.py eaed632f8d6ec72b ran Apache-2.0 (permissive)
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval 4 Jun 2023 kylrth/procedure-generation/dataset/champ.py ecbed2ce7f3a5dbe unverified MIT (permissive)
Multimedia Generative Script Learning for Task Planning 25 Aug 2022 EagleW/Multimedia-Generative-Script-Learning-for-Task-Planning/wikihow_contrastive_data.py b739bbac3e47c758 unverified MIT (permissive)
UL2: Unifying Language Learning Paradigms 10 May 2022 opennlg/openba-v2/evaluation/ARC/template.py 5fd8991277f9c276 unverified Apache-2.0 (permissive)
Complex-Valued Autoencoders for Object Discovery 5 Apr 2022 loewex/complexautoencoder/codebase/utils/data_utils.py f588aa91f2172e0d unverified MIT (permissive)
Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines 7 Nov 2021 mkuchnik/plumbertensorflow/configure.py e07e303581bd4892 ran · our draft was wrong Apache-2.0 (permissive)
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences 6 Oct 2021 erksch/fnet-pytorch/verify_conversion.py 5eccccd396511ac2 unverified MIT recorded; this copy not marked cleared · pointer only
TF-Replicator: Distributed Machine Learning for Researchers 1 Feb 2019 tensorflow/community/rfcs/20200624-pluggable-device-for-tensorflow/sample/configure.py e07e303581bd4892 ran · our draft was wrong Apache-2.0 (permissive)
Deep Interest Evolution Network for Click-Through Rate Prediction 11 Sep 2018 kupuSs/DIEN-pipline/data_process/feature_process_parallel.py 92cd6e35ce4dd619 unverified Apache-2.0 (permissive)
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes 27 Feb 2018 DiaoXY/CSRnet/Model.py 70f82265ce8e8a4e ran · honoured contract no licence file found · pointer only
TensorFlow: A system for large-scale machine learning 27 May 2016 tensorflow/tensorflow/configure.py e07e303581bd4892 ran · our draft was wrong Apache-2.0 (permissive)
arXiv:2022.acl-long.159 thunlp/CrossET/src/source/function.py 6421077ceebf9a9d unverified MIT (permissive)
arXiv:136960462 levymsn/CQA-CRCT/Detector/extract_features.py 4c2fad57f5285a05 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