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EigenLayer's DNA is based in research and academia
Resources to learn about the protocol - recent updates, videos, research, and
whitepapers.
read the eigenlayer whitepaper ↗

Research, discussion, and news

The latest on EigenLayer
↗
The EigenLayer Stage 1 Testnet
Blog
↗
EigenLabs Announces $50 Million in New Funding
Twitter
↗
Announcing the EigenLayer Whitepaper v1.0
Discourse
↗
Permissionless Interoperability with Hyperlane Restaking
Discourse
↗
MEV-Boost++: Preserving Block Proposer Agency with MEV-Boost using EigenLayer
Discourse
Featured Videos
EigenLayr: Permissionless Feature Addition to Ethereum with Sreeram Kannan |
a16z crypto research

Hyperscale data availability for zk systems

sbc: censorship resistance via restaking

ethconomics at devconnect

Ethstaker community call #29: eigenlayer

bankless shows: eigenlayer

empire: how eigenlayer unlocks infrastructure innovation

eigenlayer: hyperscale performance on ethereum for gamefi

information theory & blockchain

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Academic Papers
01
Data Availability
Provisioning data availability is one of the key components for scaling
blockchains. Over the years, we have done extensive research on how to reduce
communication complexity and per node bandwidth requirement so as to hyperscale
data availability without compromising on security.
↗ Coded Merkle Tree
↗ Data Availability Oracle
↗ Dispersed Ledger
02
Fair Ordering
Fair-ordering is a critical aspect for any blockchain. Its absence imposes
negative externalities like high gas price, network congestion, wasted
blockspace, etc., on the ecosystem as a whole. As part of our research to
mitigate these externalities, we have designed protocols that guarantees
transaction fair-ordering despite adversarial action to pursue transaction
reordering, censoring or chain reorg.
↗ permissionless fair ordering
↗ themis
03
Longest Chain Consensus
The hallmarks of an excellent consensus protocol are high throughput and low
confirmation latency while placing as minimal security assumptions as possible.
Our research involved analysing security assumptions of different classes of
longest-chain consensus protocols and deconstructing them into their basic
functionalities that systematically yielded protocols which approach the
physical limits of throughput and confirmation latency while requiring minimal
security assumptions.
↗ Prism
↗ Everything is a race
↗ PoSAT
↗ Minotaur
04
BFT Consensus
BFT protocols provisions the guarantee that protocol is secure as long as
fraction of nodes behaving maliciously is less than a certain threshold.
Therefore, it is necessary to have in-protocol mechanism to identify the nodes
in the system that behaved maliciously so as to be able to impose proper
penalties. Towards that end, we have designed strong forensic support for BFT
protocols.
↗ BFT Protocol Forensics
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