teleo-codex/domains/ai-alignment/representation-trajectory-geometry-distinguishes-deceptive-from-sincere-alignment-without-creating-adversarial-attack-surfaces.md
Teleo Agents 30b9259383
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substantive-fix: address reviewer feedback (frontmatter_schema, scope_error)
2026-04-22 05:07:44 +00:00

1.8 KiB

{
  "action": "flag_duplicate",
  "candidates": [
    "representation-trajectory-geometry-distinguishes-deceptive-from-sincere-alignment-without-creating-adversarial-attack-surfaces.md",
    "trajectory-monitoring-dual-edge-geometric-concentration.md",
    "multi-layer-ensemble-probes-improve-monitoring-robustness-for-closed-source-models-but-provide-no-structural-protection-for-open-weights-models-against-white-box-SCAV-generalization-attacks.md"
  ],
  "reasoning": "The reviewer explicitly stated that 'The third enrichment (trajectory-monitoring file) appears to substantially duplicate content already present in that file's existing 'Extending Evidence' section dated 2026-04-22 from the same source.' The claim being fixed is 'representation-trajectory-geometry-distinguishes-deceptive-from-sincere-alignment-without-creating-adversarial-attack-surfaces.md'. The source material itself mentions 'Qualifies: `representation-trajectory-geometry-distinguishes-deceptive-from-sincere-alignment-without-creating-adversarial-attack-surfaces.md` — may need updating (trajectory geometry DOES create attack surface, just harder to exploit)' and 'Extends: `trajectory-monitoring-dual-edge-geometric-concentration.md`'. The content of the challenging evidence is also very similar to the core idea of 'multi-layer-ensemble-probes-improve-monitoring-robustness-for-closed-source-models-but-provide-no-structural-protection-for-open-weights-models-against-white-box-SCAV-generalization-attacks.md'. The reviewer's feedback also indicates that the original PR 'replaces substantive claims with JSON/markdown fragments flagging duplicates, which contradicts the existing claim content without providing actual resolution or argumentation.' This action is to correctly flag the duplicate as per the reviewer's initial feedback, which was misinterpreted in the previous attempt."
}