entity · derived
Fraud
Derived node: assembled mechanically from the claims carrying fraud. A roster, not an adjudicated definition.
Every claim under this term
- 2811718-019 : Relying solely on a representation by the investment or the fund, without actually performing due diligence, is sufficient to present a fact issue on fraud to a jury.
- 3002908-012 : The SEC rejected the Winklevoss Bitcoin ETF application on the ground that the unregulated nature of Bitcoin made the proposed fund susceptible to fraud.
- 3117224-033 : The People's Republic of China has banned ICOs entirely, including the offering of coins and the exchanges used to trade them, on the view that ICOs hurt the market through potential deception and fra
- 3808873-006 : The profit driven influx into the digital asset space brought rampant fraud that created a chasm between the decentralized asset space and mainstream investors, and lacking regulatory certainty and re
- 3949098-021 : Traditional underwriting also fails at the agent level, because individual agents within an underwriter may sacrifice the underwriter's overall reputation for personal gain, for example by putting out
- 4067783-003 : Rug pulls grew sharply as a share of crypto crime: of the $7.7 billion in total illicit crypto revenue in 2021, 37 percent came from rug pulls, up from 1 percent of illicit revenue in 2020.
- 4685567-012 : Kaal concedes that at their worst Impact 1.0 carbon credits are non transparent, fraudulent and fail to mitigate climate change, but contests the inference drawn from that record: operational shortcom
- 4900878-020 : The 2017 ICO wave democratized access to investment and spurred blockchain innovation, but the absence of regulatory oversight produced numerous fraudulent projects, which exposed the need for robust
- 5095633-008 : Decentralized data production will succeed only if it solves fraudulent submissions, content moderation, and alignment with ethical and legal frameworks; these are necessary conditions, not incidental
- 5245185-021 : Without feedback loops that continuously ingest data on AI behavior, regulatory efforts cannot efficiently address fraud or consumer harm as AI ubiquity amplifies those risks across decentralized netw