# [Endorsement Request] cs.LG — When does a predictive system learn it's the one predicting? (40 experiments, 12 falsified hypotheses)

> Source: <https://discuss.huggingface.co/t/endorsement-request-cs-lg-when-does-a-predictive-system-learn-its-the-one-predicting-40-experiments-12-falsified-hypotheses/176495#post_3>
> Published: 2026-09-11 17:35:09+00:00

I am a researcher and academic staff member at Lucian Blaga University of Sibiu, Romania, preparing my first arXiv submission in **cs.LG (Machine Learning)**.

**Manuscript:**

*Leakage-Aware Benchmarking of Machine Learning for Food Spectroscopy: How Validation Design Changes Reported Predictive Performance*

The study investigates how validation design affects reported ML performance in food spectroscopy, comparing random splitting, group-aware validation, batch-aware validation, and external/domain-shift validation.

I am looking for someone who is currently eligible to endorse submissions in **cs.LG** and is willing to inspect the manuscript before deciding.

To avoid asking anyone to follow an unfamiliar authentication link, here is only the official arXiv endorsement code:

**Subject:** cs.LG

**Endorsement Code:** `3MLSXP`

The code can be entered directly after logging into arXiv through the official endorsement interface.

I can also provide my institutional profile, ORCID, publication record, or any additional information required.

Thank you for considering the request.

**Ketney Otto**