✨A Decentralized Retrieval Augmented Generation System with Source Reliabilities Secured on Blockchain
📝 Summary:
This paper proposes a decentralized RAG system using a blockchain-based mechanism to score data source reliability. It dynamically evaluates sources, boosting performance by 10.7% compared to centralized systems and achieving 56% cost savings in unreliable environments.
🔹 Publication Date: Published on Nov 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07577
• PDF: https://arxiv.org/pdf/2511.07577
• Github: https://github.com/yining610/Reliable-dRAG
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#RAG #Blockchain #DecentralizedAI #GenerativeAI #AIResearch
📝 Summary:
This paper proposes a decentralized RAG system using a blockchain-based mechanism to score data source reliability. It dynamically evaluates sources, boosting performance by 10.7% compared to centralized systems and achieving 56% cost savings in unreliable environments.
🔹 Publication Date: Published on Nov 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07577
• PDF: https://arxiv.org/pdf/2511.07577
• Github: https://github.com/yining610/Reliable-dRAG
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#RAG #Blockchain #DecentralizedAI #GenerativeAI #AIResearch
✨DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain
📝 Summary:
DLT-Corpus is a large new dataset for Distributed Ledger Technology research from scientific literature, patents, and social media. It reveals technologies originate in science before reaching patents and social media. Scientific and patent activity independently drive economic growth, unaffected...
🔹 Publication Date: Published on Feb 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.22045
• PDF: https://arxiv.org/pdf/2602.22045
• Github: https://github.com/dlt-science/DLT-Corpus
🔹 Models citing this paper:
• https://huggingface.co/ExponentialScience/LedgerBERT
• https://huggingface.co/ExponentialScience/LedgerBERT-Market-Sentiment
✨ Datasets citing this paper:
• https://huggingface.co/datasets/ExponentialScience/DLT-Patents
• https://huggingface.co/datasets/ExponentialScience/DLT-Tweets
• https://huggingface.co/datasets/ExponentialScience/DLT-Sentiment-News
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#DLT #Dataset #DataScience #Research #Blockchain
📝 Summary:
DLT-Corpus is a large new dataset for Distributed Ledger Technology research from scientific literature, patents, and social media. It reveals technologies originate in science before reaching patents and social media. Scientific and patent activity independently drive economic growth, unaffected...
🔹 Publication Date: Published on Feb 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.22045
• PDF: https://arxiv.org/pdf/2602.22045
• Github: https://github.com/dlt-science/DLT-Corpus
🔹 Models citing this paper:
• https://huggingface.co/ExponentialScience/LedgerBERT
• https://huggingface.co/ExponentialScience/LedgerBERT-Market-Sentiment
✨ Datasets citing this paper:
• https://huggingface.co/datasets/ExponentialScience/DLT-Patents
• https://huggingface.co/datasets/ExponentialScience/DLT-Tweets
• https://huggingface.co/datasets/ExponentialScience/DLT-Sentiment-News
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#DLT #Dataset #DataScience #Research #Blockchain
arXiv.org
DLT-Corpus: A Large-Scale Text Collection for the Distributed...
We introduce DLT-Corpus, the largest domain-specific text collection for Distributed Ledger Technology (DLT) research to date: 2.98 billion tokens from 22.12 million documents spanning scientific...
✨The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus
📝 Summary:
Research on SLMs in decentralized organizations finds that System 1 reasoning is superior for robust adversarial governance. System 2 inference-time compute introduces catastrophic instability, high latency, and vulnerabilities, making intuitive reasoning more effective.
🔹 Publication Date: Published on Apr 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.16913
• PDF: https://arxiv.org/pdf/2604.16913
• Github: https://github.com/smarizvi110/sentinel-bench
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SLMs #DecentralizedAI #CognitiveAI #AIGovernance #Blockchain
📝 Summary:
Research on SLMs in decentralized organizations finds that System 1 reasoning is superior for robust adversarial governance. System 2 inference-time compute introduces catastrophic instability, high latency, and vulnerabilities, making intuitive reasoning more effective.
🔹 Publication Date: Published on Apr 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.16913
• PDF: https://arxiv.org/pdf/2604.16913
• Github: https://github.com/smarizvi110/sentinel-bench
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#SLMs #DecentralizedAI #CognitiveAI #AIGovernance #Blockchain