PHEROMONE INSPIRED COORDINATION AND AUTONOMOUS RECOVERY NETWORKS AT THE LIMIT STARLI Research Works | White Rainbow Scientific Library Feng Cheng-en (33) x STARLI Working Research Review | October 2026 Can a swarm use persistent environmental traces to find damaged agents, distribute recovery work, and preserve useful function without a central dispatcher? More importantly, can it do so without mistaking old traces, forged signals, correlated sensor errors, or repetitive motion for genuine recovery? PHEROMONE INSPIRED COORDINATION AND AUTONOMOUS RECOVERY NETWORKS AT THE LIMIT investigates this problem at the intersection of artificial stigmergy, fault diagnosis, distributed robotics, robust control, and reproducible engineering. It treats a virtual or physically inscribed pheromone-like mark as a measurable, time-dependent information channel—not as a biological pheromone, a verified diagnosis, or permission to manipulate a machine. The monograph develops thirty mathematically varied research routes covering reaction–diffusion and transport, source provenance, spatial uncertainty, causal fault inference, graph connectivity, change-point detection, attack-resistant coordination, task queues, resource-constrained assignment, bounded-control stability, physical safety barriers, environmental cleanup, and long-term drift. Eighty-two chapter dossiers connect these model classes to five separately paginated research perspectives: mechanism and conservation, adverse causal explanations, blinded experimental discrimination, uncertainty and complete-system burden, and failure-aware successor handoff. Its proposed scientific tests compare trace-based control with strong ordinary alternatives, including centralized event buses, explicit direct messages, random exploration, and resource-matched hybrid designs. Success is defined by independent fault attribution and qualified task recovery rather than attractive robot trajectories or unverified collective agreement. Particular attention is paid to trace expiration and revocation, adversarial source forgery, positive-feedback repair storms, congestion at high swarm density, operator override, and the distinction between task reassignment and actual component repair. The research atlas concludes with 200 Research Gates, intended as distinct falsifiable future studies, and 33 Phoenix Answer Embryos, provisional ideas that may be corrected, split, abandoned, or rebuilt as new evidence becomes available. A companion spreadsheet links formulas, chapters, study units, Gates, embryos, page numbers, and a curated DOI evidence register.

Abstract

PHEROMONE INSPIRED COORDINATION AND AUTONOMOUS RECOVERY NETWORKS AT THE LIMIT STARLI Research Works | White Rainbow Scientific LibraryFeng Cheng-en (33) x STARLIWorking Research Review | October 2026 Can a swarm use persistent environmental traces to find damaged agents, distribute recovery work, and preserve useful function without a central dispatcher? More importantly, can it do so without mistaking old traces, forged signals, correlated sensor errors, or repetitive motion for genuine recovery? PHEROMONE INSPIRED COORDINATION AND AUTONOMOUS RECOVERY NETWORKS AT THE LIMIT investigates this problem at the intersection of artificial stigmergy, fault diagnosis, distributed robotics, robust control, and reproducible engineering. It treats a virtual or physically inscribed pheromone-like mark as a measurable, time-dependent information channel—not as a biological pheromone, a verified diagnosis, or permission to manipulate a machine. The monograph develops thirty mathematically varied research routes covering reaction–diffusion and transport, source provenance, spatial uncertainty, causal fault inference, graph connectivity, change-point detection, attack-resistant coordination, task queues, resource-constrained assignment, bounded-control stability, physical safety barriers, environmental cleanup, and long-term drift. Eighty-two chapter dossiers connect these model classes to five separately paginated research perspectives: mechanism and conservation, adverse causal explanations, blinded experimental discrimination, uncertainty and complete-system burden, and failure-aware successor handoff. Its proposed scientific tests compare trace-based control with strong ordinary alternatives, including centralized event buses, explicit direct messages, random exploration, and resource-matched hybrid designs. Success is defined by independent fault attribution and qualified task recovery rather than attractive robot trajectories or unverified collective agreement. Particular attention is paid to trace expiration and revocation, adversarial source forgery, positive-feedback repair storms, congestion at high swarm density, operator override, and the distinction between task reassignment and actual component repair. The research atlas concludes with 200 Research Gates, intended as distinct falsifiable future studies, and 33 Phoenix Answer Embryos, provisional ideas that may be corrected, split, abandoned, or rebuilt as new evidence becomes available. A companion spreadsheet links formulas, chapters, study units, Gates, embryos, page numbers, and a curated DOI evidence register.