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auroc

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

auroc appears in the code Syntology harvested for 16 papers, as 13 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 3 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 auroc 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 13 distinct code bodies named auroc; 7 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
1ran · fixture could not drive it
5ran
7unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 2 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

16 papers shown of 16, 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 7 papers added by Syntology; 2 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
RETHINKING CORRECTNESS FOR UNCERTAINTY ESTIMATION IN CLINICAL PREDICTION WITH VISION-LANGUAGE MODELS added by Syntology 2026-09 (from id) JasonZuu/EHR-Correctness/core/metrics.py 6fec5e3cea8accb9 unverified no licence file found · pointer only
You Are What You Prompt: Prompt Quality, Domain Shift, and Uncertainty in Agrifood Vision-Language Models Calidad de prompts, cambio de dominio e incertidumbre en modelos visión-lenguaje agroalimentarios added by Syntology 2026-08 (from id) ugritai/pid_agrifood/analysis/pid.py f638c04aac72f2f2 ran · fixture could not drive it fingerprinted CC0-1.0 (permissive)
Decorrelation Is Not Complementarity: Skill, Not Lineage, Governs Trusted-Monitor Ensembles added by Syntology 2026-08 (from id) anik-jha/challenger-panels/src/panel.py d628c421ee11951a ran MIT (permissive)
Information-Geometric Forward Policy Training in GFlowNets added by Syntology 2026-08 (from id) rodsveiga/infogeometric_gflows/gflows/dag.py 4fa349ab4ee4b826 ran no licence file found · pointer only
TOOD: Task-Aware Out-of-Distribution Score Calibration for Continual Learners added by Syntology 2026-07 (from id) mostafaelaraby/tood-continual-ood/analysis/toy_confidence_gap.py 798ae69ccfa89a8a ran fingerprinted MIT (permissive)
Max-pooling Network Revisited: Analyzing the Role of Semantic Probability in Multiple Instance Learning for Hallucination Detection added by Syntology 2026-05 (from id) FUJI1229/Hallucination_Detection/gen/generation/uncertainty/utils/eval_utils.py 7454cc265b181dec ran fingerprinted MIT (permissive)
Addressing Tokenization Inconsistency in Steganography and Watermarking Based on Large Language Models added by Syntology 2025-08 (from id) ryehr/Consistency/src/tokenization_consistency/metrics.py b4056ca2c7273447 unverified MIT (permissive)
The Disparate Benefits of Deep Ensembles 17 Oct 2024 ml-jku/disparate-benefits/source/utils/metrics.py 442722aa37fb0ef0 ran MIT (permissive)
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs 22 Jun 2024 oatml/semantic-entropy-probes/semantic_uncertainty/uncertainty/utils/eval_utils.py ccde4062eb35a7ad unverified MIT (permissive)
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection 18 Jan 2023 lsc-1/pecola/lib/metrics.py a6359426276fb40b unverified MIT (permissive)
Dual Representation Learning for Out-of-Distribution Detection 19 Jun 2022 lawliet-zzl/drl/code/OOD_Metric.py 647ffb2c86d7808f unverified MIT (permissive)
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators 23 Aug 2021 lawliet-zzl/fig/code_FIG/OODMeasures.py 647ffb2c86d7808f unverified MIT (permissive)
Evidential Turing Processes 2 Jun 2021 ituvisionlab/EvidentialCalibration/scores.py f48a597c2c8cc253 unverified MIT (permissive)
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills 14 May 2019 jilljenn/ktm/dmirt.py 2923dba19a371ca3 unverified MIT (permissive)
arXiv:2022.findings-emnlp.497 lancopku/Avg-Avg/lib/metrics.py a6359426276fb40b unverified MIT (permissive)
arXiv:2022.findings-emnlp.47 lancopku/DAN/metrics.py a6359426276fb40b 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".

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