% ProbeShift references. arXiv IDs marked [VERIFIED] were fetched directly from arxiv.org on % 2026-06-22 (title/authors confirmed). IDs marked [CHECK] were surfaced by automated search % and MUST be re-verified (venue/ID) before camera-ready. % [VERIFIED] 2511.19166 @article{dies2025pstat, title = {Representational and Behavioral Stability of Truth in Large Language Models}, author = {Dies, Samantha and Maynard, Courtney and Savcisens, Germans and Eliassi-Rad, Tina}, journal= {arXiv preprint arXiv:2511.19166}, year = {2025}} % [VERIFIED] 2511.16288 @article{huang2025sip, title = {Spectral Identifiability for Interpretable Probe Geometry}, author = {Huang, William Hao-Cheng}, journal= {arXiv preprint arXiv:2511.16288}, year = {2025}} % [VERIFIED] 2602.00158 @article{gao2026raptor, title = {{RAPTOR}: Ridge-Adaptive Logistic Probes}, author = {Gao, Ziqi and Zhu, Yaotian and Zeng, Qingcheng and Zhao, Xu and Wang, Ziqing and Ruan, Feng and Ding, Kaize}, journal= {arXiv preprint arXiv:2602.00158}, year = {2026}} % [VERIFIED] 2510.11905 @article{haller2025brittle, title = {{LLM} Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance}, author = {Haller, Patrick and Ibrahim, Mark and Kirichenko, Polina and Sagun, Levent and Bell, Samuel J.}, journal= {arXiv preprint arXiv:2510.11905}, year = {2025}} % [VERIFIED] 2303.15488, NeurIPS 2023 @inproceedings{xie2023feature, title = {On the Importance of Feature Separability in Predicting Out-Of-Distribution Error}, author = {Xie, Renchunzi and Wei, Hongxin and Feng, Lei and Cao, Yuzhou and An, Bo}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}} % [VERIFIED] 2602.20273 @article{ying2026truthspectrum, title = {The Truthfulness Spectrum Hypothesis}, author = {Ying, Zhuofan Josh and Ravfogel, Shauli and Kriegeskorte, Nikolaus and Hase, Peter}, journal= {arXiv preprint arXiv:2602.20273}, year = {2026}} % [VERIFIED] 2310.06824, COLM 2024 @article{marks2024geometry, title = {The Geometry of Truth: Emergent Linear Structure in {LLM} Representations of True/False Datasets}, author = {Marks, Samuel and Tegmark, Max}, journal= {Conference on Language Modeling (COLM); arXiv:2310.06824}, year = {2024}} % [CHECK] 2511.04312 @article{lysnaes2025probing, title = {Probing the Probes: Methods and Metrics for Concept Alignment}, author = {Lysn{\ae}s-Larsen, M. and Eggen, P. and Str{\"u}mke, I.}, journal= {arXiv preprint arXiv:2511.04312}, year = {2025}} % [CHECK] 2606.11375 @article{reblitz2026fragility, title = {When Probing Accuracy Saturates, Fragility Resolves}, author = {Reblitz-Richardson, O. and others}, journal= {arXiv preprint arXiv:2606.11375}, year = {2026}} % [CHECK] 2605.27958 @article{deception2026pressure, title = {Pressure-Testing Deception Probes in {LLM}s: Scaling, Robustness, and the Geometry of Deceptive Representations}, author = {Anonymous}, journal= {arXiv preprint arXiv:2605.27958}, year = {2026}} @inproceedings{hewitt2019control, title = {Designing and Interpreting Probes with Control Tasks}, author = {Hewitt, John and Liang, Percy}, booktitle = {EMNLP}, year = {2019}} @article{belinkov2022probing, title = {Probing Classifiers: Promises, Shortcomings, and Advances}, author = {Belinkov, Yonatan}, journal = {Computational Linguistics}, volume = {48}, number = {1}, year = {2022}} @inproceedings{park2024linear, title = {The Linear Representation Hypothesis and the Geometry of Large Language Models}, author = {Park, Kiho and Choe, Yo Joong and Veitch, Victor}, booktitle = {ICML}, year = {2024}} @inproceedings{biderman2023pythia, title = {Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling}, author = {Biderman, Stella and others}, booktitle = {ICML}, year = {2023}}