PATENT CLAIM ANALYSIS

Application Number: 16391144
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["713", "189000"]

Abstract:
Security systems and methods are disclosed that associate several human entities each with a corresponding cryptographic utility token inventory and trustworthiness indication. The trustworthiness indications each shift each at a rate substantially correlating with its corresponding cryptographic utility token inventory so as to allow different entities to become trusted and untrusted over time. This triggers automatic privilege modifications that enhance security within a networked community invested in cryptographic utility tokens.

Claim (Index 7):
The security method of  claim 16 , comprising:\n iteratively monitoring one or more public nodes for one or more requester-specified phenomena of interest by another entity, wherein said one or more requester-specified phenomena of interest include first and second asset transfers from a requester-specified digital wallet; and transmitting to one or more mining rig nodes a result of said first transaction of said second smart contract partly based on said first cryptographically authenticatable node data from said first cryptographically authenticatable node and partly based on said distributed ledger destination being implemented.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 100.0
- Lexical Diversity: 1.37736
- Patent Class: 713.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16206830', '16195261', '16101343', '16369329', '13665747']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3588445099886976
- 35 USC 102 Novelty (BERT): 0.6062937654871055
- Combined Prediction Score: 0.3835894355385383
- Mean Citation Score: 313.973394
- Max Citation Score: 543.71735
- Similarity Product: 463.67850029307306

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test