Search a medium Nielsen class shard for admissible covers
Scan a medium rectangle in the 5A^4 Nielsen class and report closed or threshold-exceeded inner braid orbits.
What the computation does
- 1Load M23 in GAP or the configured computation backend.
- 2Load the Atlas class 5A.
- 3Fix the first branch-cycle representative a.
- 4Enumerate (b, c) in the assigned chunk rectangle.
- 5Set d = (a*b*c)^-1.
- 6Keep tuples where d is in class 5A.
- 7Check that the generated group is M23.
- 8Compute the inner braid orbit under Hurwitz moves.
- 9Canonicalize using the fixed first representative and centralizer quotient.
- 10Stop when the orbit closes or exceeds threshold + 1.
- 11Emit a structured JSON packet with hashes and scope caveats.
Use ChatGPT Pro
Copy one prompt. Upload a redacted transcript as review credit only.
Run in Colab
Download the notebook, open it in Colab, and click Run All.
Download notebook
Cloud workspace
Use a preconfigured web IDE when the public repo is connected.
Open Codespaces
Run locally
Copy one command. It prints the task before doing any work.
Safety task card
Public inputs
- Shard id and input hash.
- Compressed public candidate list.
- Verifier version.
Expected outputs
- Admissible and rejected counts.
- Certificate hashes for any positive candidates.
- Runtime and environment digest.
Data submitted
- Counts, hashes, command, logs hash, environment digest.
Data never requested
- Machine login credentials.
- Cloud provider tokens.
- Private notebooks.
Prohibited actions
- Do not run with nondeterministic flags unless they are declared.
- Do not upload raw data outside the declared shard.
AI scope
- AI should not be needed for this shard.
- AI can summarize logs locally but cannot replace deterministic verification.
Terminal worker
No AI provider is called. The worker prints the task card and scope caveat before computation.
node public/m23/worker.mjs --work-unit m23-nielsen-0184 --i-understand-taskLocal AI or A2A
Keys stay local. The command stops unless the explicit AI acknowledgement is present.
M23_AI_ENDPOINT=http://localhost:11434/v1/chat/completions node public/m23/worker.mjs --work-unit m23-nielsen-0184 --run-ai --i-understand-ai-tasknode public/m23/worker.mjs --work-unit m23-nielsen-0184 --agent a2a --endpoint http://localhost:41241 --i-understand-ai-taskUpload result packet
Paste the JSON packet printed by the notebook or worker. It will be pending until another person reproduces it.
ChatGPT Pro review
Copy the prompt into ChatGPT Pro, redact the transcript, then upload it as review context. This earns review credit only.
I am contributing to m23isgalois.com.
Please review this public mathematical compute task. Do not ask for secrets, keys, cookies, private files, or account data.
Work unit: m23-nielsen-0184
Title: Search a medium Nielsen class shard for admissible covers
Route: m23-b4-5a4
Task card hash: sha256:0184f5a45a4b4b4b0184f5a45a4b4b4b0184f5a45a4b4b4b0184f5a45a4b4b4b
Task: Scan a medium rectangle in the 5A^4 Nielsen class and report closed or threshold-exceeded inner braid orbits.
Expected packet schema: { caseId, routeId, workUnitId, status, orbitSize, threshold, tupleSummary, inputHashes, outputHashes, notes }
Scope caveat: This result covers only the assigned chunk and does not prove the M23/Q question by itself.
Your job: explain what this task does, list what evidence a valid packet would provide, and list what it would not prove.
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