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RoPE-Provenance: Encoding Token Roles

Using RoPE subspaces to separate instruction from data: learnable role-angles, counterfactual experiments, and Phase 5 benchmarks.

  1. The Pre-W Learnable Role-Angle Mechanism: RoPE-Provenance

    Moving beyond fixed π/2 offsets to learnable provenance rotations and the 'pre-W' transport interpretation.

    #research #rope #security #instruction-tuning

  2. Counterfactual Provenance Experiments: Stress-Testing Token Roles

    Analyzing the Counterfactual V2 results—how the model behaves when provenance signals are zeroed or adversarial.

    #research #rope #security #adversarial

  3. Asymmetric Compliance Damage: The Cost of Isolation

    Measuring the damage to instruction following vs. data processing when RoPE subspaces are constrained.

    #research #rope #evals #instruction-tuning

  4. The Pi/8 Instruction Output Audit: Phase 5 Benchmarks

    A deep dive into Phase 5 results, SEP scores, and the final paper-ready benchmarks for RoPE-Provenance.

    #research #rope #benchmarks #paper