Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Trustless Machine Learning Contracts; Evaluating and Exchanging Machine
  Learning Models on the Ethereum Blockchain   Using blockchain technology, it is possible to create contracts that offer a
reward in exchange for a trained machine learning model for a particular data
set. This would allow users to train machine learning models for a reward in a
trustless manner. The smart contract will use the blockchain to automatically
validate the solution, so there would be no debate about whether the solution
was correct or not. Users who submit the solutions won't have counterparty risk
that they won't get paid for their work. Contracts can be created easily by
anyone with a dataset, even programmatically by software agents. This creates a
market where parties who are good at solving machine learning problems can
directly monetize their skillset, and where any organization or software agent
that has a problem to solve with AI can solicit solutions from all over the
world. This will incentivize the creation of better machine learning models,
and make AI more accessible to companies and software agents.

27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph