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arXiv · 2608.15921

Scaling the Lightning Network with Practical Set Reconciliation

Xingyu Chen·Anish Sinha·David Starobinski·Ari Trachtenberg
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Abstract

The Lightning Network (LN) utilizes gossip to share network topology, channel announcements and updates, and node announcements among its local constituents. Yet, our measurements show that this flooding-based gossip reconciliation is fundamentally inefficient. We propose, instead, to use set reconciliation protocols for sharing this information, and we systematically evaluate existing approaches under realistic network conditions. We further propose ADAPTIVEIBLT, a novel adaptive IBLT (Invertible Bloom Lookup Table) protocol with a partial-decoding enhancement. By simulating reconciliation in Core-Lightning and evaluating real gossip snapshots, we demonstrate the practical benefits of reconciliation in scaling gossip reconciliation from hours down to a few minutes.

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Xingyu Chen, Anish Sinha, David Starobinski, Ari Trachtenberg. 2026-08-16. Scaling the Lightning Network with Practical Set Reconciliation. https://doi.org/10.1109/icbc67748.2026.11575524

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