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get_curve

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

get_curve appears in the code Syntology harvested for 9 papers, as 7 distinct code bodies found in 9 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 get_curve 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 7 distinct code bodies named get_curve; 6 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
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 9 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

9 papers shown of 9, newest first; 9 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; 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
Activation Subspaces for Out-of-Distribution Detection added by Syntology 2025-08 (from id) visinf/actsub/actsub_standard/ood_utils.py 1b0d32310ed47dd8 unverified Apache-2.0 (permissive)
arXiv:2507.10225 2025-07 (from id) Jarvisgivemeasuit/SynOOD/utils.py 7d491ca6c7c6459b unverified Apache-2.0 (permissive)
Interpretable Generalized Additive Models for Datasets with Missing Values 3 Dec 2024 jdonnelly36/M-GAM/visualization_utils.py 7f6fa66454694a73 unverified licence not identified · pointer only
Responsible Visual Editing 8 Apr 2024 kodenii/Responsible-Visual-Editing/seem/datasets/visual_sampler/polygon.py f0de29e6038e30e8 ran no licence file found · pointer only
Learning with Mixture of Prototypes for Out-of-Distribution Detection 5 Feb 2024 jeff024/PALM/util/evaluations/metrics.py 7d491ca6c7c6459b unverified MIT (permissive)
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks 1 Dec 2021 daintlab/unknown-detection-benchmarks/metrics_ood.py ed35359a5c2b419c unverified MIT (permissive)
Unsupervised Out-of-Domain Detection via Pre-trained Transformers 2 Jun 2021 rivercold/BERT-unsupervised-OOD/calculate_log.py 749638f4131be5e5 unverified MIT (permissive)
Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss 30 May 2021 dlmacedo/entropic-out-of-distribution-detection/calculate_log.py 73ff0adcd82b148b unverified Apache-2.0 (permissive)
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices 28 Dec 2019 VectorInstitute/gram-ood-detection/calculate_log.py 749638f4131be5e5 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