Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.28957.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Paper proposing the Organizational Consensus Algorithm (OCA) for coordinating self-interested agents with asymmetric information, using token staking, challenge mechanisms, and retrospective penalties. Validated via Python simulation showing lower coordination overhead and bounded welfare loss, though results are explicitly conditional on the model.

Offers a mechanism-design framing for multi-agent coordination outside classical Byzantine models, but readers should note the authors flag the simulation results as not establishing a general truthful equilibrium.

Cited by

No citations on record.