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get_mgrid

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

get_mgrid appears in the code Syntology harvested for 16 papers, as 14 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 12 of the papers; 7 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_mgrid 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 9 of the 14 distinct code bodies named get_mgrid; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
8ran
5unverified
7fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 19 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

16 papers shown of 16, newest first; 19 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
Towards Croppable Implicit Neural Representations 28 Sep 2024 maorash/Local-Global-INRs/dataio.py c3c376e19f06a842 ran fingerprinted MIT (permissive)
Towards Croppable Implicit Neural Representations 28 Sep 2024 maorash/Local-Global-INRs/incode_experiments/dataio.py 386eb2e1d4237e59 ran MIT (permissive)
GC-Bench: An Open and Unified Benchmark for Graph Condensation 30 Jun 2024 RingBDStack/GC-Bench/networks_nc/IGNR.py d0e91a77fdc73c4f ran fingerprinted MIT (permissive)
SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings 14 Jun 2024 lim0606/ddo/gano.py 53cb98760ce45cd1 ran fingerprinted MIT (permissive)
SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings 14 Jun 2024 lim0606/ddo/lib/models/contconv.py 6e0529bf4b8f6ec9 ran fingerprinted MIT (permissive)
Quantum Implicit Neural Representations 6 Jun 2024 GGorMM1/QIREN/qinr/image/data_process.py 6993cad8937592ca ran · honoured contract fingerprinted no licence file found · pointer only
ReLUs Are Sufficient for Learning Implicit Neural Representations 4 Jun 2024 joeshenouda/relu-inrs/exp_audio_sig.py 6993cad8937592ca ran · honoured contract fingerprinted no licence file found · pointer only
Graph Neural Networks for Learning Equivariant Representations of Neural Networks 18 Mar 2024 mkofinas/neural-graphs/experiments/data_nfn.py a411cafe9e1009b8 ran fingerprinted MIT (permissive)
Improved Implicit Neural Representation with Fourier Reparameterized Training 15 Jan 2024 labshuhanggu/fr-inr/utlis.py 43664adabad23284 ran fingerprinted no licence file found · pointer only
Does Graph Distillation See Like Vision Dataset Counterpart? 13 Oct 2023 RingBDStack/SGDD/models/IGNR.py d0e91a77fdc73c4f ran fingerprinted Apache-2.0 (permissive)
Scalable Neural Video Representations with Learnable Positional Features 13 Oct 2022 subin-kim-cv/NVP/dataio.py 18d43489e3fd0859 unverified MIT (permissive)
Continuous PDE Dynamics Forecasting with Implicit Neural Representations 29 Sep 2022 mkirchmeyer/DINo/data_pdes.py bd0b0d63d8c5b543 unverified Apache-2.0 (permissive)
UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography 22 Feb 2022 bobby-he/uncertainr/dataio.py c3c376e19f06a842 ran fingerprinted MIT (permissive)
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation 9 Dec 2021 computational-imaging/bacon/dataio.py fb7ceff9e4c5214a ran no licence file found · pointer only
ACORN: Adaptive Coordinate Networks for Neural Scene Representation 6 May 2021 computational-imaging/ACORN/dataio.py cd78367e88d9ebaf unverified MIT (permissive)
Hypersolvers: Toward Fast Continuous-Depth Models 19 Jul 2020 DiffEqML/diffeqml-research/hypersolvers-control/src/activations.py 6993cad8937592ca ran · honoured contract fingerprinted Apache-2.0 (permissive)
Gradient Origin Networks 6 Jul 2020 cwkx/GON/Implicit-GON.py 6c563c92e8bf87cf unverified MIT (permissive)
Gradient Origin Networks 6 Jul 2020 titu1994/tf_GON/utils.py 6a41e809bc39a97f unverified MIT (permissive)
Implicit Neural Representations with Periodic Activation Functions 17 Jun 2020 vsitzmann/siren/dataio.py c3c376e19f06a842 ran 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