BasicConv2d
BasicConv2d appears in the code Syntology harvested for 12 papers, as 16 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 12 of the papers; 14 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 BasicConv2d 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 16 of the 16 distinct code bodies named BasicConv2d; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:
Licence is a property of each copy, so it is counted per place: 6 of the 16 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
12 papers shown of 12, newest first; 16 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 2 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.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors added by Syntology | 2026-03 (from id) | Onemissed/PW-FouCast/model/pw_foucast.py d11d0295122f7fc8 |
ran · metamorphic tier: deterministic fingerprinted | no licence file found · pointer only |
| Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion added by Syntology | 2026-02 (from id) | ChunmingHe/CurriSeg/lib/Network.py 471ddfff8f634520 |
ran fingerprinted | no licence file found · pointer only |
| SimVP: Simpler yet Better Video Prediction | 9 Jun 2022 | gaozhangyang/simvp-simpler-yet-better-video-prediction/model.py bf3fbf283a2767b4 |
ran · metamorphic tier: deterministic fingerprinted | no licence file found · pointer only |
| Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification | 19 Aug 2021 | raoyongming/CAL/fgvc/models/cal.py ee5a84cd4d4e6a4f |
ran fingerprinted | MIT (permissive) |
| Specificity-preserving RGB-D Saliency Detection | 18 Aug 2021 | taozh2017/spnet/Code/lib/model.py 6f7dc36dfca30bd6 |
ran · metamorphic tier: deterministic fingerprinted | no licence file found · pointer only |
| Full-Duplex Strategy for Video Object Segmentation | 6 Aug 2021 | GewelsJI/FSNet/lib/fsnet.py 9d65fd2b9de9e302 |
ran · metamorphic tier: deterministic fingerprinted | Apache-2.0 (permissive) |
| Mutual Graph Learning for Camouflaged Object Detection | 3 Apr 2021 | fanyang587/MGL/model/mglnet.py ae55b0db34eeec32 |
ran · metamorphic tier: invariant fingerprinted | no licence file found · pointer only |
| Deep Residual Learning for Image Recognition | 10 Dec 2015 | zjZSTU/ResNet/py/lib/models/resnet/res_net.py 4dbe66dec4c673a2 |
ran fingerprinted | Apache-2.0 (permissive) |
| You Only Look Once: Unified, Real-Time Object Detection | 8 Jun 2015 | zjZSTU/YOLO_v1/py/lib/models/yolo_v1.py 9c798969164d0e3f |
ran · metamorphic tier: invariant | Apache-2.0 (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering | 12 Mar 2015 | Unturned3/mtcnn/models/inception_resnet_v1.py 0bab917a250c249f |
ran · metamorphic tier: deterministic fingerprinted | MIT (permissive) |
| FaceNet: A Unified Embedding for Face Recognition and Clustering | 12 Mar 2015 | kuaikuaikim/DFace/dface/core/resnet_inception_v2.py 5482c7a79d0aefc8 |
ran · metamorphic tier: deterministic fingerprinted | Apache-2.0 (permissive) |
| Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift | 11 Feb 2015 | zjZSTU/GoogLeNet/py/models/googlenet_bn.py 363095e135affba2 |
ran · metamorphic tier: invariant | Apache-2.0 (permissive) |
| Going Deeper with Convolutions | 17 Sep 2014 | pytorch/vision/torchvision/models/googlenet.py f5edef376a0cd85e |
ran · metamorphic tier: deterministic fingerprinted | BSD-3-Clause (permissive) |
| Going Deeper with Convolutions | 17 Sep 2014 | anguyen8/sam/madry_files/googlenet.py cb08b86e58d07063 |
ran · metamorphic tier: deterministic fingerprinted | no licence file found · pointer only |
| Going Deeper with Convolutions | 17 Sep 2014 | zjZSTU/GoogLeNet/py/models/googlenet.py 03d0214c16636ec8 |
ran fingerprinted | Apache-2.0 (permissive) |
| Going Deeper with Convolutions | 17 Sep 2014 | lornatang/googlenet-pytorch/model.py 624cea5b8980dd04 |
ran · metamorphic tier: invariant fingerprinted | Apache-2.0 (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