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newfig

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

newfig appears in the code Syntology harvested for 10 papers, as 3 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 8 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 newfig 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 3 distinct code bodies named newfig; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 2 of the 10 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; 10 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. 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
Conformalized Physics-Informed Neural Networks 13 May 2024 jayroxis/PINNs/Utilities/plotting.py 5f2fe5254661d168 ran · our draft was wrong fingerprinted no licence file found · pointer only
BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed deep learning 15 May 2021 hanfengzhai/BubbleNet/Code/Utilities/plotting.py 5f2fe5254661d168 ran · our draft was wrong fingerprinted MIT (permissive)
Data-driven discovery of Green's functions with human-understandable deep learning 1 May 2021 NBoulle/greenlearning/greenlearning/utils/plotting.py ef6d2b0616388dd0 unverified Apache-2.0 (permissive)
Towards improving discriminative reconstruction via simultaneous dense and sparse coding 16 Jun 2020 btolooshams/densae/src/plot_helpers.py d2cef8ed05c377a8 unverified MIT (permissive)
Rational neural networks 4 Apr 2020 NBoulle/RationalNets/src/Approximation/plotting.py 5f2fe5254661d168 ran · our draft was wrong fingerprinted MIT (permissive)
Physics Informed Extreme Learning Machine (PIELM) -- A rapid method for the numerical solution of partial differential equations 8 Jul 2019 maziarraissi/PINNs/Utilities/plotting.py 5f2fe5254661d168 ran · our draft was wrong fingerprinted MIT (permissive)
Deep Learning of Vortex Induced Vibrations 26 Aug 2018 maziarraissi/DeepVIV/plotting.py 5f2fe5254661d168 ran · our draft was wrong fingerprinted MIT (permissive)
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations 19 Apr 2018 maziarraissi/FBSNNs/plotting.py 5f2fe5254661d168 ran · our draft was wrong fingerprinted MIT (permissive)
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations 28 Nov 2017 identical code first harvested elsewhere 5f2fe5254661d168 ran · our draft was wrong fingerprinted licence of this copy not recorded
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations 28 Nov 2017 dbxmcf/pinn/Utilities/plotting.py 5f2fe5254661d168 ran · our draft was wrong fingerprinted 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