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compute_auc

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

compute_auc appears in the code Syntology harvested for 13 papers, as 12 distinct code bodies found in 13 places (a place is one code body under one paper). At least one of them ran in 4 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 compute_auc 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 4 of the 12 distinct code bodies named compute_auc; 8 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
4ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 13 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

13 papers shown of 13, newest first; 13 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
CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification added by Syntology 2026-04 (from id) unitaryai/detoxify/model_eval/utils.py 2e7535087b00d38f unverified Apache-2.0 (permissive)
ADAG: Automatically Describing Attribution Graphs added by Syntology 2026-04 (from id) TransluceAI/circuits/circuits/analysis/score_features.py 597e394b194e3552 unverified no licence file found · pointer only
Personalized Representation from Personalized Generation 20 Dec 2024 ssundaram21/personalized-rep/downstream/classification.py 52a4e7b1ef28e2dd unverified MIT (permissive)
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning 6 Aug 2024 JasonZhujp/RELIEF/graph_level/base.py 7704b623591b1777 ran no licence file found · pointer only
Fairness in Large Language Models in Three Hours 2 Aug 2024 lavinwong/fairness-in-large-language-models/definitions/encoder_decoder/extrinsic_bias/counterfactual_fairness/counterfactual_auc.py f24368ab6cac8513 ran no licence file found · pointer only
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It) 25 Jun 2024 computationalprivacy/mia_llms_benchmark/attacks/probe.py 494b6dd4d66449a8 ran no licence file found · pointer only
Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function 15 Feb 2024 m-lantz/ct_recon_sigpro/includes/auc.py 94a733c2e41b2f13 ran CC0-1.0 (permissive)
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks 8 Apr 2023 modar7/the_fairness_stitch/src/utils_abroca.py f34aff34be2461e9 unverified MIT (permissive)
BARTSmiles: Generative Masked Language Models for Molecular Representations 29 Nov 2022 yerevann/bartsmiles/utils/utils.py fd29169c736bf8ed unverified MIT (permissive)
A Survey of Knowledge Tracing: Models, Variants, and Applications 6 May 2021 bigdata-ustc/EduKTM/EduKTM/AKT/AKT.py 8597a8a1cd9a7cd5 unverified Apache-2.0 (permissive)
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure 12 Jul 2020 google/madi/src/madi/utils/evaluation_utils.py 63954fed6a514f34 unverified Apache-2.0 (permissive)
A Self-Attentive model for Knowledge Tracing 16 Jul 2019 theophilegervet/learner-performance-prediction/train_sakt.py 63379c3778af65f9 unverified no licence file found · pointer only
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills 14 May 2019 identical code first harvested elsewhere 63379c3778af65f9 unverified licence of this copy not recorded

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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