Hosat Network Release V1.1.5

This release fixes coinbase rewards for Block V3.

Hoosat Network 1.1.4

Remove the pow check on relayed blocks.

Hoosat Network v1.1.3

Fix correctly. Sorry for 1.1.2

Hoosat Network V1.1.2 release

Fixes bug of trying to check proof of work hash from trusted blocks.

Hoosat Network Release 1.1.1

This release includes fix to RPC Handle Submit, so that on block versions below block version 3, the proof of work hash is not requested from the miners and pools.

Hoosat Network Release 1.1.0

Hoosat Network Release 1.1.0

Key Enhancements:

• Enhanced Proof of Work Hash Validation: We've implemented a rigorous Proof of Work (PoW) hash validation for Block Version 3, ensuring the network's integrity and security of the network against nonce guessing.
• Hoohash v1.0.1 Integration: Integration of Hoohash v1.0.1 into Block Version 3. This update significantly improves the accuracy of floating-point rounding across different system architectures, promoting consistency and reliability in transaction processing.

Hoosat Network Release 1.0.6

This v1.0.6 fixes correct developer fee address. Don't want to burn the coins right?

Hoosat Network V1.0.5

Hoosat Network Release 1.0.5

This is a bug fix for possible scenario in Hard Fork that next block gets clogged with Coinbase & Dev fee outputs. Happens easily with genesis level difficulty.

• Fix hitting error "coinbase has too many outputs: got 26 where the limit is 20" by doubling the coinbase output limit, because of developer fee is counted as output with coinbase outputs.

Hoosat Network 1.0.4

Hoosat Network Node 1.0.4

This version includes changes to HoohashV1 with the correct values to make it more compatible between CPU and GPU architectures, because of precision problems and changes to matrix multiplication so that a + b * c becomes a + complex_non_linear(b * c), which should take CUDA matrix multiplication advantage away.

Hoohash V1.0.3

Hoosat Network Node 1.0.3

This version includes changes to HoohashV1 to make it more compatible between CPU and GPU architectures, because of precision problems and changes to matrix multiplication so that a + b * c becomes a + complex_non_linear(b * c), which should take CUDA matrix multiplication advantage away.