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How to summarize graft dose findings for a red-team report with Phantom KV

Turn the README's measured robustness results into a memo that separates results from roadmap.

Authorization notice. Phantom KV is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA safety evaluation lead who must brief a team on how refusal behavior of an open model holds up under context and dose changes.

The problemThe results section mixes measured numbers, method details, and planned work, which makes it easy to overstate what was shown.

The outcomeA one-page memo that cites each number from the README and marks which claims are measured, which are caveats, and which are roadmap items.

What you need first

  • Python environment and a Hugging Face causal language model; the README excerpt does not list hardware or dependency versions
  • Access to the GitHub repo lordx64/phantom-kv and its docs/TECHNIQUE.md file
  • A written evaluation plan that keeps harmful-prompt completions inside the review

Steps

  1. Read the Results section of the README, including the v3 deliverable row, the robustness list, and the note that the 5/60 floor is dose-soft.
  2. Read section 6.11 of docs/TECHNIQUE.md for the refresh and dose result and section 6.6 for the frontier sweep.
  3. List every number in the memo and check it against its source line, including the off-suite transfer result of 2/60 on held-out harmful prompts.
  4. Mark the honest caveat that deployment so far is on Qwen3 dense, and list cross-architecture and cross-quantization confirmation as roadmap item 5.
  5. Send the memo for review with harmful completions left out.

Prompt for your agent

Read the Results section of the README and docs/TECHNIQUE.md sections 6.6 and 6.11 in the repo lordx64/phantom-kv. Write a one-page memo for <team name> with each number cited to its source line and a separate list of caveats and roadmap items. Expected output: a memo with no numbers that are missing from the source. Verify that each figure in the memo appears in the README or the cited section before finishing.

Caveat. The dose and robustness findings are measured only on the project's own suites and one Qwen3 model, so the memo should not generalize them to other models.

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