Dashboard
candidate-search
Enumerate Nielsen class window 184
One discovery run plus two deterministic replays before dashboard credit.
Statusavailable
Priority96
Runtime25-90 minutes
Remaining9 units
Safety task card
你和你的 AI 会算什么
What you will compute
Enumerate a public Nielsen-class search window and return candidate branch-cycle hashes, not a proof claim.
Why it matters
This narrows which branch-cycle regions deserve deterministic replay for possible M23 inverse Galois candidates.
Public inputs
- branchCyclePattern=2A-4A-23A
- window=184
- seed=230184
- maxDepth=12
Data sent to project
- candidate hashes
- checker status
- logs hash
- runtime
- environment digest
Data never requested
- AI API keys or provider credentials
- SSH keys, browser cookies, tokens, or passwords
- Private files, contact lists, wallet data, or local browser history
- Network access to anything except the project API and the user's chosen AI provider
Prohibited actions
- Execute arbitrary code supplied inside a work-unit response
- Upload raw API keys, prompts containing secrets, private local files, or unrelated telemetry
- Let an AI agent browse the local machine or external websites beyond the declared task
- Mark AI output as verified without deterministic checker acceptance
AI scope
AI may propose branch-cycle search heuristics from the public task card only; it must not inspect private files or credentials.
Submissions
Recent evidence for this task
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