The paper introduces Collective Counterfactual Planning (CCP), a formal model describing how teams coordinate tasks that no single member can handle alone, constrained not by capability but by representational geometry. CCP defines four critical gates—exogenous implementation coalitions, conception, consent, and task-relative verification—that determine whether a team can achieve and legitimately recognize a conjunctive goal. The authors present the Collective Counterfactual Solvability (CCS) problem, separating geometric feasibility, executable attainment, and validated completion, and provide a sound and complete four-step solvability scheme under exact representation of relay closure.
By Chainarong Amornbunchornvej
The paper investigates how inherited state affects sub-agent performance in multi-agent frameworks, comparing three inheritance policies—Reset, Selective, and Full—across a ladder of Qwen3 models. It finds that reliance on stale state decreases with model capability, but a mid-capability model (Qwen3‑1.7B) exhibits a statistically significant local minimum of net harm, defining a "danger band." Selective handoff consistently improves accuracy over Full, especially within the danger band, while a fixed-threshold router fails on other datasets.
By Jundong Hu, Shekar Ramachandran
Hierarchical orchestration, in which a Manager agent reviews worker output and can send it back for revision, is the default coordination pattern in production multi-agent LLM frameworks. Classical or...
arXiv:2606. 08340v1 Announce Type: new Abstract: As language models are increasingly deployed as autonomous agents, they must coordinate with others over long horizons in open-ended interactive tasks.
By Kale-ab Abebe Tessera, Andras Szecsenyi, Cameron Barker, Alexander Rutherford, Davide Paglieri, Aidan Scannell, Henry Gouk, Elliot J. Crowley, Tim Rockt\"aschel, Amos Storkey
arXiv:2609.14767v1 Announce Type: cross
Abstract: Hierarchical orchestration, in which a Manager agent reviews worker output and can send it back for revision, is the default coordination pattern in...
By Burak Agachan, Max van Duijn, Amirhossein Zohrehvand
arXiv:2606. 02641v1 Announce Type: cross Abstract: Interactive driving exposes a failure mode that is easy to miss in rule-aware autonomous-driving stacks: a hard-rule margin can be negative for an ego candidate even though a small lawful accommodation by a non-priority agent would restore feasibility.
By Yifan Wang