Research challenges and opportunities in blockchain and cryptocurrencies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The blockchain is the underlying technology of the Bitcoin cryptocurrency, and it has created much excitement in the technology and research communities. A blockchain is a distributed ledger collectively maintained by a peer‐to‐peer network of participants who in Bitcoin are known as miners. This key innovation enables cryptocurrencies such as Bitcoin to operate in a decentralized manner with no intermediaries such as financial institutions. But the blockchain can be used to record things other than cryptocurrency transactions. While many of the concepts of Bitcoin build on what have been around since the 1980s and 1990s, the designer(s) of it have made important assumptions that make it work along with the use of an incentive protocol, leading to a major breakthrough from traditional academic thinking. In this paper, we present the state‐of‐the‐art of blockchain and cryptocurrencies along with research challenges and opportunities that would be of interest to researchers getting into this exciting field.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it