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build_loss

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

build_loss appears in the code Syntology harvested for 8 papers, as 8 distinct code bodies found in 8 places (a place is one code body under one paper). At least one of them ran in 2 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 build_loss 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 2 of the 8 distinct code bodies named build_loss; 6 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
2ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 8 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; 8 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
Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-Ultrasound Prostate Cancer Detection added by Syntology 2026-06 (from id) DeepRCL/Prost-RL/prostnfound/src/loss.py acefc5eb21bea034 unverified no licence file found · pointer only
Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models 13 May 2025 DonghoonKim-1938/VGD/bluestar/losses/base_loss.py fbceec55bb8b11c8 unverified MIT (permissive)
Universal Image Restoration Pre-training via Degradation Classification 26 Jan 2025 milab-pku/dcpt/basicsr/models/degradation_classification_pretrain_model.py 406917308c80d0ad unverified no licence file found · pointer only
Video Seal: Open and Efficient Video Watermarking 12 Dec 2024 facebookresearch/videoseal/videoseal/losses/perceptual.py b61ecb572a0c1a2b unverified MIT (permissive)
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition 15 Jul 2024 LixiaoTHU/PartImageNetPP/model/loss.py c8696b362bb9873b ran MIT (permissive)
Adapting to Distribution Shift by Visual Domain Prompt Generation 5 May 2024 guliisgreat/vdpg/src/solver/losses.py 58cdf7724e1bc207 ran no licence file found · pointer only
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection 16 Mar 2022 spengliang/weakm3d/lib/loss_factory.py 0a29efa7a8729e94 unverified no licence file found · pointer only
ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model 10 Jul 2020 iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network/code/OCTA-Net/losses.py 70bab76a9adb7f32 unverified 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