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compute_distances

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

compute_distances appears in the code Syntology harvested for 10 papers, as 10 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 1 of the code bodies carries 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 compute_distances 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 5 of the 10 distinct code bodies named compute_distances; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
3ran
5unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 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

10 papers shown of 10, 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, and the graph's for 1 papers added by Syntology. 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
Generating adversarial inputs for a graph neural network model of AC power flow added by Syntology 2026-02 (from id) Robbybp/pfdelta/con_error_summary.py dc8b6b364f653085 unverified MIT (permissive)
The representation landscape of few-shot learning and fine-tuning in large language models 5 Sep 2024 diegodoimo/geometry_icl_finetuning/extraction/pairwise_distances.py d371140435e592be ran no licence file found · pointer only
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation 3 Jun 2024 mingyuanzhou/SiD-LSG/metrics/sid_precision_recall.py 790b320b90341326 ran Apache-2.0 (permissive)
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks 2 Jun 2024 supersupercong/MSGNN/msgnn/config/graph/graph_module.py 053a40727da7d7d6 unverified no licence file found · pointer only
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks 2 Jun 2024 supersupercong/msgnn/msgnn/config/graph/graph_agg.py 6235338c52d1b7e2 unverified no licence file found · pointer only
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits 9 Apr 2024 maxdreyer/pure/experiments/disentangling/eval_CLIP_alignment.py 3879cca40ffb1d1e ran BSD-3-Clause (permissive)
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation 5 Apr 2024 mingyuanzhou/SiD/metrics/sid_precision_recall.py 790b320b90341326 ran Apache-2.0 (permissive)
DiSC: Differential Spectral Clustering of Features 10 Nov 2022 mishne-lab/disc/helper_functions.py 12b4d333db24f46a ran · honoured contract fingerprinted no licence file found · pointer only
The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA data 13 Oct 2021 Center-for-Health-Data-Science/scDGD/scDGD/functions/analysis.py eca70d88d14b7499 unverified MIT (permissive)
Contextual Attention for Hand Detection in the Wild 9 Apr 2019 SupreethN/Hand-CNN/mrcnn/contextual_attention.py 31f997be24b7baf8 ran · our draft was wrong licence not identified · pointer only
Classification-Reconstruction Learning for Open-Set Recognition 11 Dec 2018 saketd403/CROSR/compute_distances.py d1dbc1358d595b06 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