Tootfinder

Large Language Models as Visualization Agents for Immersive Binary Reverse Engineering
Dennis Brown, Samuel Mulder
https://arxiv.org/abs/2508.13413 https://

Large Language Models as Visualization Agents for Immersive Binary Reverse Engineering
Immersive virtual reality (VR) offers affordances that may reduce cognitive complexity in binary reverse engineering (RE), enabling embodied and external cognition to augment the RE process through enhancing memory, hypothesis testing, and visual organization. In prior work, we applied a cognitive systems engineering approach to identify an initial set of affordances and implemented a VR environment to support RE through spatial persistence and interactivity. In this work, we extend that platfo…

On a Geometry of Interbrain Networks
Nicol\'as Hinrichs (Embodied Cognitive Science Unit, Okinawa Institute of Science and Technology, Okinawa, Japan, Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany), Noah Guzm\'an (Independent scholar), Melanie Weber (School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States)

On a Geometry of Interbrain Networks
Effective analysis in neuroscience benefits significantly from robust conceptual frameworks. Traditional metrics of interbrain synchrony in social neuroscience typically depend on fixed, correlation-based approaches, restricting their explanatory capacity to descriptive observations. Inspired by the successful integration of geometric insights in network science, we propose leveraging discrete geometry to examine the dynamic reconfigurations in neural interactions during social exchanges. Unlik…

Octopuses possess a radically decentralized nervous system,
with the majority of their neurons residing in their arms.
Some say the octopus is a single organism with 9 brains.
From another perspective, we can say it is nine organisms housed within a single skin.
How can multiple humans come to inhabit a single organism with distributed sensory and decision-making capabilities?
How is cognition located in the network that spans bodies and environments?

How to Become an Octopus (and sometimes squid) — Gray Area Festival 2025 Workshop
What might we learn by thinking, sensing, and moving like an cephalopod? In this embodied, experimental workshop, artist Miriam Simun invites participants to leave behind the habits of upright human life and explore the world from the perspective of the soft-bodied, many-armed cephalopod.

Towards a Neurosymbolic Reasoning System Grounded in Schematic Representations
Fran\c{c}ois Olivier, Zied Bouraoui
https://arxiv.org/abs/2509.03644 https://

Towards a Neurosymbolic Reasoning System Grounded in Schematic Representations
Despite significant progress in natural language understanding, Large Language Models (LLMs) remain error-prone when performing logical reasoning, often lacking the robust mental representations that enable human-like comprehension. We introduce a prototype neurosymbolic system, Embodied-LM, that grounds understanding and logical reasoning in schematic representations based on image schemas-recurring patterns derived from sensorimotor experience that structure human cognition. Our system operat…

RoboSeek: You Need to Interact with Your Objects
Yibo Peng, Jiahao Yang, Shenhao Yan, Ziyu Huang, Shuang Li, Shuguang Cui, Yiming Zhao, Yatong Han
https://arxiv.org/abs/2509.17783

RoboSeek: You Need to Interact with Your Objects
Optimizing and refining action execution through exploration and interaction is a promising way for robotic manipulation. However, practical approaches to interaction driven robotic learning are still underexplored, particularly for long-horizon tasks where sequential decision-making, physical constraints, and perceptual uncertainties pose significant chal lenges. Motivated by embodied cognition theory, we propose RoboSeek, a framework for embodied action execution that leverages in…