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smooth_BCE

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

smooth_BCE appears in the code Syntology harvested for 17 papers, as 2 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 0 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 smooth_BCE 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 0 of the 2 distinct code bodies named smooth_BCE; 2 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
0ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 17 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

17 papers shown of 17, newest first; 17 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; 3 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
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights added by Syntology 2025-08 (from id) Gandolfczjh/APDE/defense/NAPGuard/utils/loss.py 386a04c4b6c96c88 unverified no licence file found · pointer only
Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration 7 Jul 2025 SCUT-DLVCLab/AutoHDR/utils/loss.py 386a04c4b6c96c88 unverified no licence file found · pointer only
OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving 19 Dec 2024 taco-group/openemma/openemma/YOLO3D/utils/loss.py 386a04c4b6c96c88 unverified Apache-2.0 (permissive)
Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI 2024-11 (from id) jitendra-bhandari/auto-spice/utils/loss.py aecc4cdaf8f2eb9c unverified no licence file found · pointer only
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices 29 Oct 2024 mkang315/PK-YOLO/utils/loss.py 386a04c4b6c96c88 unverified GPL-3.0 (copyleft) · pointer only
CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions 25 Apr 2024 lhy-zjut/cfmw/utils/loss.py 386a04c4b6c96c88 unverified AGPL-3.0 (copyleft) · pointer only
Privacy-Preserving Autoencoder for Collaborative Object Detection 29 Feb 2024 bardia-az/ppa-code/utils/loss.py 386a04c4b6c96c88 unverified Apache-2.0 (permissive)
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information 21 Feb 2024 WongKinYiu/yolov9/utils/loss.py 386a04c4b6c96c88 unverified GPL-3.0 (copyleft) · pointer only
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation 11 Dec 2023 mkang315/asf-yolo/utils/loss.py 386a04c4b6c96c88 unverified AGPL-3.0 (copyleft) · pointer only
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection 23 Aug 2023 zhoujingchun03/amsp-uod/utils/loss.py 386a04c4b6c96c88 unverified no licence file found · pointer only
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors 6 Jul 2022 kadirnar/yolov7-pip/yolov7/utils/loss.py 386a04c4b6c96c88 unverified MIT (permissive)
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking 3 Feb 2022 inspire-group/ObjectSeeker/yolor/utils/loss.py 386a04c4b6c96c88 unverified MIT (permissive)
YOLOP: You Only Look Once for Panoptic Driving Perception 25 Aug 2021 hustvl/yolop/lib/core/loss.py 386a04c4b6c96c88 unverified MIT (permissive)
Multispectral Deep Neural Networks for Pedestrian Detection 8 Nov 2016 xuez-phd/tfdet/yolov5-master/utils/loss.py 386a04c4b6c96c88 unverified Apache-2.0 (permissive)
arXiv:aaai_27996 hukefy/DALDet/utils/loss.py 386a04c4b6c96c88 unverified Apache-2.0 (permissive)
arXiv:aaai_26777 weihui1308/HOTCOLDBlock/victim_detector/utils/loss.py 386a04c4b6c96c88 unverified Apache-2.0 (permissive)
arXiv:Gao_AsyFOD_An_Asymmetric_Adaptation_Paradigm_for_Few-Shot_Domain_Adaptive_Object_CVPR_2023_paper Hlings/AsyFOD/utils/loss.py 386a04c4b6c96c88 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".

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