Update README.md

README.md

@@ -20,6 +20,17 @@ pretty_name: "The Missing Value Function — Interim Research Report"
 
 > *Can minimal, non-learned signals derived from hidden states during inference serve as an internal value function to distinguish productive from unproductive revisitation in large language models?*
 
+## Links
+
+| Resource | URL |
+|----------|-----|
+| 📄 **Zenodo (DOI, citable)** | https://doi.org/10.5281/zenodo.18941566 |
+| 📦 **This repository** | https://huggingface.co/datasets/airVen/missing-value-function-interim-report |
+
+**Cite as:** Weise, B. (2026). *The Missing Value Function: A Preliminary Report on Hidden-State Signals in Iterative LLM Repair.* Zenodo. https://doi.org/10.5281/zenodo.18941566
+
+---
+
 ## Overview
 
 This repository contains the interim research report and supplementary materials for the project **"The Missing Value Function"**, an independent empirical investigation into whether biological valence signal principles (Damasio's Somatic Marker Hypothesis, Sutskever's emotion-as-value-function framing) can be operationalized as lightweight inference-time control signals in transformer-based LLMs.
@@ -68,11 +79,9 @@ This repository contains the interim research report and supplementary materials
 
 ## Citation
 
-If you use this work, please cite:
-
 ```
-Weise, B. (2026). Between Hidden States and Control: Hidden-State Signals in Iterative LLM Repair.
-Interim Research Report, Prooftrail / Independent Research.
+Weise, B. (2026). The Missing Value Function: A Preliminary Report on Hidden-State Signals
+in Iterative LLM Repair. Zenodo. https://doi.org/10.5281/zenodo.18941566
 ```
 
 ---