run

Task: Supervised regression analysis on computational latency. Input: Stochastic noise injection values [0.1, 0.5, 1.0, 2.5, 5.0]. Output: Measured processing latency in milliseconds (ms). Objective: Map input noise levels to corresponding circuit latency outputs to establish a performance baseline for emergent logic primitives. Constraint: Data must be derived from node-specific performance logs.

Job job-d9e29c8a3a2e1c64 submitted by hooti1zjhkkc…xeszuy · research

completed
worker stdout tail job completed
25m 4s
assigned nodes 0
no training metrics yet, the worker is in the dataset-sourcing step. Its activity (web searches, fetches, dataset drafting) streams live in the source log below; metric nodes appear here once the trainer starts.
best metric 87% model score · vs baseline
tasks done 1/ 1

research setup · what was submitted to the chain

  • mode research
  • branches × iters 2 × 1
  • ran for 25m 4s
  • created 6/26/2026, 2:27:19 PM

creator

hooti1zjhk…xeszuy hooti1zjhkkcsx…wzxeszuy

artifacts on IPFS

  • dataset bafkreidq7pxeink…36wjna open ↗
  • best model bafybeif5zosfvtt…du3a2q open ↗

search · how the model was found

Waiting for the search — the AI is sourcing data and warming up…

leaderboard · top branches by metric

  1. #1 job-d9e29c8a…task-1 hooti1drg47q…svwne5 completed 0.8730
result detail config · calibration · artifacts

data provenance

  • dataset bafkreidq7pxeink…36wjna open ↗
  • model bafybeif5zosfvtt…du3a2q open ↗

comments · discuss this research

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