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MHLM / MDLH Research Track

MHLM examines multi-model LLM convergence and the epistemic risks of AI-assisted scientific development.

Scope

  • provenance of model outputs and iteration chains
  • hypothesis-vs-validation separation
  • reproducibility of AI-assisted workflows
  • epistemic amplification and disagreement analysis

Scientific Position

This track does not validate physical claims by itself. It evaluates how AI systems shape, amplify, correct, or destabilize research narratives.

Final Freeze Preparation

The 2026-05-26 final update preserves the latest MHLM Ultra Master Library and final model-response audit package as archive/provenance evidence.

  • Final Master Library: archive/final_master_library/2026-05-25_MHLM_Ultra_Master_Library/
  • Final model-response audit round: model-responses/final_audit_round_2026-05-25/
  • Provenance and consensus policy: provenance/
  • Freeze scope and checklist: freeze/

Model responses remain critique and process evidence only. Cross-model agreement is not validation.

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