Skip To Main Content
Bernhard Haslhofer on Muck Rack

Bernhard Haslhofer

As seen in: arXiv, BISness
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Bernhard

Contact Bernhard, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Computer Science > Computational Engineering, Finance, and Science

|
By Stefan Kitzler, Bernhard Haslhofer, Aviv Yaish
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (691) Issue with article?

Slaying the Dragon: The Quest for Democracy in Decentralized Autonomous Organizations (DAOs)

|
By Pietro Saggese, Stefan Kitzler, Bernhard Haslhofer
| arXiv
Open in Who Shared Issue with article?

Towards verifiability of total value locked (TVL) in decentralized finance

|
By Pietro Saggese, Stefan Kitzler, Bernhard Haslhofer, Michael Fröwis
| BISness
Focus Total value locked (TVL) is the main metric used to assess the economic significance of decentralised finance (DeFi) projects. It represents the total value of on-chain cryptoassets deposited in DeFi protocols. Despite its importance, TVL calculations are not standardised and in some instances rely on self-reported off-chain data, opening the door to manipulation. Inconsistent methodologies across different aggregators can lead to large discrepancies in the reported figures.
Open in Who Shared Issue with article?
See all 8 articles