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distillation_loss

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

distillation_loss appears in the code Syntology harvested for 10 papers, as 10 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 2 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 distillation_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 6 of the 10 distinct code bodies named distillation_loss; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
1ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
1ran
4unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 10 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

10 papers shown of 10, newest first; 10 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.

PaperDateFileStatus SyntologyLicence
Fleet: Few Shots Lead Effective AI-generated Image Detection added by Syntology 2026-06 (from id) ICTMCG/Fleet/src/fleet/train/fewshot_experiment.py 212d49801c4ec215 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Improving Topic Modeling by Distilling Soft Labels from Language Models added by Syntology 2026-02 (from id) raymondzmc/dsl-topic-models/src/dsl_topic/models/dsl/_objective.py 4121f75a6215030c ran · our draft was wrong MIT (permissive)
Analog Foundation Models 14 May 2025 IBM/analog-foundation-models/src/analog_foundation_models/utils/train_utils.py bc005d2113d97abf unverified MIT (permissive)
Self-Supervised Dataset Distillation for Transfer Learning 10 Oct 2023 db-lee/selfsup_dd/algorithms/zeroshot_kd.py 9ccc006e0542ef91 ran Apache-2.0 (permissive)
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models 9 May 2023 Qrange-group/SUR-adapter/SUR_adapter_train.py 10dba20899659101 unverified MIT (permissive)
Gradient Knowledge Distillation for Pre-trained Language Models 2 Nov 2022 lancopku/gkd/model_architectures/gkd.py 69a1c78a2a729ae8 ran · our draft was wrong no licence file found · pointer only
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings 6 Nov 2019 LuyaooChen/uninformed-students-pytorch/teacher_train.py 1df330df12a648c5 ran · honoured contract fingerprinted MIT (permissive)
Patient Knowledge Distillation for BERT Model Compression 25 Aug 2019 Daniel-H-99/Patient-Knowledge-Distillation/src/KD_loss.py 5ff7ab3a0c0d6da0 unverified MIT recorded; this copy not marked cleared · pointer only
A Comprehensive Overhaul of Feature Distillation 3 Apr 2019 clovaai/overhaul-distillation/ImageNet/distiller.py 986a20dced4a5241 unverified MIT (permissive)
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning 15 Nov 2017 arunmallya/packnet/src/lwf.py ee6fd5e70dcfe51c ran · violated contract 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