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run_network

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

run_network appears in the code Syntology harvested for 18 papers, as 12 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 11 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 run_network 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 3 of the 12 distinct code bodies named run_network; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
0ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 21 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

18 papers shown of 18, newest first; 21 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; 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
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream 17 Mar 2024 identical code first harvested elsewhere 8f235fb889b93174 ran · our draft was wrong licence of this copy not recorded
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields 11 Dec 2023 yxlao/corres-nerf/src/tools/run_nerf.py 260b5011d788608d unverified MIT (permissive)
Mamba: Linear-Time Sequence Modeling with Selective State Spaces 1 Dec 2023 thearkaprava/ms-temba/vim/MSTemba_main.py 5d474c2e4ca27948 unverified Apache-2.0 (permissive)
ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields 20 Oct 2023 identical code first harvested elsewhere 8f235fb889b93174 ran · our draft was wrong licence of this copy not recorded
NeMF: Inverse Volume Rendering with Neural Microflake Field 3 Apr 2023 YoujiaZhang/NeMF/run_nerf.py bc8041fd2b31b089 unverified no licence file found · pointer only
Differentiable Rendering with Reparameterized Volume Sampling 21 Feb 2023 greatdrake/reparameterized-volume-sampling/nerf/run_nerf.py 8f235fb889b93174 ran · our draft was wrong MIT (permissive)
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis 2 Oct 2022 identical code first harvested elsewhere 8f235fb889b93174 ran · our draft was wrong licence of this copy not recorded
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction 29 Sep 2022 ruyi-zha/naf_cbct/src/render/render.py 96dead70c16319a1 unverified MIT (permissive)
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching 1 Apr 2022 activevisionlab/dfnet/script/models/nerf.py 8f235fb889b93174 ran · our draft was wrong MIT (permissive)
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding 16 Jan 2022 yashbhalgat/HashNeRF-pytorch/run_nerf.py 296bbd3954dea52c ran · our draft was wrong MIT (permissive)
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding 16 Jan 2022 JonathonLuiten/instant-nerf-pytorch/run_nerf.py fc1a65ccede65297 unverified MIT (permissive)
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields 9 Dec 2021 cassiePython/CLIPNeRF/supplyment/run_nerf_clip.py 4042ffc9f214a037 unverified Apache-2.0 (permissive)
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views 6 Dec 2021 barbararoessle/dense_depth_priors_nerf/run_nerf.py 1d5e7c8e9a1e7735 ran · our draft was wrong MIT (permissive)
Depth-supervised NeRF: Fewer Views and Faster Training for Free 6 Jul 2021 identical code first harvested elsewhere 8f235fb889b93174 ran · our draft was wrong licence of this copy not recorded
Neural RGB-D Surface Reconstruction 9 Apr 2021 dazinovic/neural-rgbd-surface-reconstruction/optimize.py b3964e10c2d6129a unverified no licence file found · pointer only
Neural RGB-D Surface Reconstruction 9 Apr 2021 HengyiWang/neural-rgbd-torch/optimize.py b331235168684564 unverified MIT (permissive)
Direct-PoseNet: Absolute Pose Regression with Photometric Consistency 8 Apr 2021 ActiveVisionLab/direct-posenet/script/run_nerf.py 8f235fb889b93174 ran · our draft was wrong MIT (permissive)
NeRF--: Neural Radiance Fields Without Known Camera Parameters 14 Feb 2021 identical code first harvested elsewhere 8f235fb889b93174 ran · our draft was wrong licence of this copy not recorded
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis 19 Mar 2020 identical code first harvested elsewhere 8f235fb889b93174 ran · our draft was wrong licence of this copy not recorded
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis 19 Mar 2020 bmild/nerf/run_nerf.py bc8041fd2b31b089 unverified MIT (permissive)
arXiv:Zhan_NeRFrac_Neural_Radiance_Fields_through_Refractive_Surface_ICCV_2023_paper Yifever20002/NeRFrac/run_nerfrac.py 488cf3223fdc9ebe 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