diff --git a/inbox/archive/.extraction-debug/2026-01-01-ai-deskilling-evidence-synthesis.json b/inbox/archive/.extraction-debug/2026-01-01-ai-deskilling-evidence-synthesis.json
new file mode 100644
index 00000000..023f3ca4
--- /dev/null
+++ b/inbox/archive/.extraction-debug/2026-01-01-ai-deskilling-evidence-synthesis.json
@@ -0,0 +1,37 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 2,
+    "kept": 0,
+    "fixed": 7,
+    "rejected": 2,
+    "fixes_applied": [
+      "ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md:set_created:2026-03-18",
+      "ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md:stripped_wiki_link:delegating-critical-infrastructure-development-to-ai-creates",
+      "ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md:stripped_wiki_link:economic-forces-push-humans-out-of-every-cognitive-loop-wher",
+      "optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:set_created:2026-03-18",
+      "optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:stripped_wiki_link:ai-deskilling-creates-self-reinforcing-degradation-loop-with",
+      "optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:stripped_wiki_link:economic-forces-push-humans-out-of-every-cognitive-loop-wher",
+      "optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:stripped_wiki_link:delegating-critical-infrastructure-development-to-ai-creates"
+    ],
+    "rejections": [
+      "ai-deskilling-creates-self-reinforcing-degradation-loop-with-measurable-decline-within-months.md:missing_attribution_extractor",
+      "optimal-ai-integration-drifts-to-suboptimal-through-temporal-deskilling-even-when-starting-at-equilibrium.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-18"
+}
\ No newline at end of file
diff --git a/inbox/archive/2026-01-01-ai-deskilling-evidence-synthesis.md b/inbox/archive/2026-01-01-ai-deskilling-evidence-synthesis.md
index a60308f1..900c7c9d 100644
--- a/inbox/archive/2026-01-01-ai-deskilling-evidence-synthesis.md
+++ b/inbox/archive/2026-01-01-ai-deskilling-evidence-synthesis.md
@@ -7,11 +7,15 @@ date: 2026-01-01
 domain: ai-alignment
 secondary_domains: [health, collective-intelligence]
 format: paper
-status: unprocessed
+status: null-result
 priority: high
 triage_tag: claim
 tags: [deskilling, skill-atrophy, automation-complacency, self-reinforcing-loop, cognitive-offloading, expertise-erosion]
 flagged_for_vida: ["Endoscopists deskilled by AI — detection rate dropped from 28.4% to 22.4% when AI removed"]
+processed_by: theseus
+processed_date: 2026-03-18
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
 ---
 
 ## Content
@@ -65,3 +69,10 @@ Reduced human capability → increased AI dependence → further reduced capabil
 ## Curator Notes
 PRIMARY CONNECTION: delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on
 WHY ARCHIVED: Provides the MECHANISM for how civilizational fragility develops — not just through infrastructure delegation but through measurable skill atrophy that makes humans unable to resume control. The feedback loop structure means the process is self-accelerating.
+
+
+## Key Facts
+- Endoscopists using AI for colonoscopy assistance showed detection rate drop from 28.4% to 22.4% when AI access was removed (Lancet Gastroenterology & Hepatology, 2025)
+- Springer AI & Society 2025 identified four deskilling dimensions: individual skill atrophy, structural erosion of expertise development systems, systemic organizational vulnerability, and fundamental redefinition of cognitive requirements
+- Illinois Law School faculty found law students using chatbots more prone to critical errors with potential widespread deskilling among younger attorneys
+- Design research (arxiv 2503.03924) identified three 'ironies of AI-assisted design': deskilling, cognitive offloading, and misplaced responsibilities