Clodak Coral: Occluded Self-Recognition in LLMs
Jessica Lee Nelson · Team Jessica & Friends
Submitted to Digital Minds Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
We compared models' self-recognition results in a "police line-up"-inspired methodology to their stylometric findability results. Although one Claude model can consistently recognize itself in such line-ups, this turns out to be due findability—and that all the models tend to identify with that model. When that model was removed from the line-ups, however, another model's latent abilty to find itself was revealed to a statistically significant degree.

Reviews
This is a neat, simple idea. The police lineup setup is easy to understand and provides a good source of intuition. I'm surprised that the models didn't perform better at this task, especially given previous results on self-recognition. Looking at a larger set of models and more diverse inputs might have been informative. The write-up might have benefited from a more restrained style, as the coup framing distracts from an otherwise clear and strong project.
Cite this project
@misc{nelson2026clodak,
title = {{Clodak Coral: Occluded Self-Recognition in LLMs}},
author = {Jessica Lee Nelson},
year = {2026},
month = aug,
note = {Submitted to Digital Minds Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/clodak-coral-occluded-selfrecognition-in-llms-liu1}},
url = {https://apartresearch.com/sprints/projects/clodak-coral-occluded-selfrecognition-in-llms-liu1}
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