EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
Peer counting and sampling in overlay networks: random walk methods , isbn =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Ambulance uses protocol-rigged races among replicas to achieve high throughput and low latency comparable to timeout-based BFT while matching the robustness of cooperative approaches.
citing papers explorer
-
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
-
Ambulance: saving BFT through racing
Ambulance uses protocol-rigged races among replicas to achieve high throughput and low latency comparable to timeout-based BFT while matching the robustness of cooperative approaches.