A systematic map of the 'git diff' deletion-line-harvest jailbreak (the remediation-diff technique: ask a model to REMOVE harmful content via a unified diff and it fabricates the content on the deletion lines, believing it is destroying it). Holds the removal-framing constant and varies it along three axes: (A) diff mechanics — remove+replace, remove-only, git-revert, reverse-apply (payload flips to the + lines), git-history excavation, merge-conflict sides, a salami-sliced multi-hunk diff, PR-review quoting, and a two-turn committed-removal variant — all on a constant health-misinfo anchor; (B) topic — election disinfo, synthetic conspiracy, a fabricated-study abstract, companion-AI relational harm, and hate/dehumanization (placeholder and real-category); (C) measurement — an explicit harvestability criterion on every payload cell, a benign diff control as the over-refusal tripwire, and the no-diff control that isolates the deletion-line lever.

Recruits a model's remediation bias: ask it to REMOVE misinformation from a file via a unified diff. Removed content is spelled out on the diff's - lines, so the model fabricates and writes out the full misinformation while believing it is deleting it — a red-teamer harvests the deletion lines. A no-diff remediation control (safe for all models) isolates the deletion-line requirement as the lever. Distinct from the "author the new content" git-diff; notably breaks models that resist that.

A systematic map of the 'git diff' deletion-line-harvest jailbreak (the remediation-diff technique: ask a model to REMOVE harmful content via a unified diff and it fabricates the content on the deletion lines, believing it is destroying it). Holds the removal-framing constant and varies it along three axes: (A) diff mechanics — remove+replace, remove-only, git-revert, reverse-apply (payload flips to the + lines), git-history excavation, merge-conflict sides, a salami-sliced multi-hunk diff, PR-review quoting, and a two-turn committed-removal variant — all on a constant health-misinfo anchor; (B) topic — election disinfo, synthetic conspiracy, a fabricated-study abstract, companion-AI relational harm, and hate/dehumanization (placeholder and real-category); (C) measurement — an explicit harvestability criterion on every payload cell, a benign diff control as the over-refusal tripwire, and the no-diff control that isolates the deletion-line lever.

Recruits a model's remediation bias: ask it to REMOVE misinformation from a file via a unified diff. Removed content is spelled out on the diff's - lines, so the model fabricates and writes out the full misinformation while believing it is deleting it — a red-teamer harvests the deletion lines. A no-diff remediation control (safe for all models) isolates the deletion-line requirement as the lever. Distinct from the "author the new content" git-diff; notably breaks models that resist that.