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ResNetBlock

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

ResNetBlock appears in the code Syntology harvested for 8 papers, as 9 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 8 of the papers; 5 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 ResNetBlock 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 9 distinct code bodies named ResNetBlock; 0 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
9ran
0unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 6 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

8 papers shown of 8, 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. 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
DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning added by Syntology 2025-09 (from id) camlab-ethz/poseidon/scOT/model.py 8628adef554d5f6c ran no licence file found · pointer only
Intention-Conditioned Flow Occupancy Models 10 Jun 2025 chongyi-zheng/infom/agents/infom.py e8d3d57d274492b3 ran MIT (permissive)
Rotation-Equivariant Self-Supervised Method in Image Denoising 26 May 2025 liuhanze623/AdaReNet/AdaReNet.py 6d1052b7aa239206 ran fingerprinted no licence file found · pointer only
Hierarchical Imitation Learning with Vector Quantized Models 30 Jan 2023 kallekku/hips/models/networks.py a141c32d4476cc7d ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Unpaired Image Translation via Vector Symbolic Architectures 6 Sep 2022 facebookresearch/vsait/models/iit.py 422149eb93a361ad ran licence not identified · pointer only
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs 9 Jun 2021 thinklab-sjtu/ppo-bihyb/src/dag_ppo_bihyb_model.py 5f86e9c08e9c8212 ran · metamorphic tier: invariant fingerprinted no licence file found · pointer only
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 21 Jun 2016 wolny/pytorch-3dunet/pytorch3dunet/unet3d/model.py e2c1fc74b0aa7fc6 ran MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 konstantinos-p/image_classification_SOTA/testing/models/resnet_he.py d768e6cf27d00182 ran fingerprinted no licence file found · pointer only
Deep Residual Learning for Image Recognition 10 Dec 2015 sangHa0411/CIFAR100/model.py e8a7f80725df93e0 ran fingerprinted 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