diff --git a/inbox/queue/.extraction-debug/2026-01-12-mechanistic-interpretability-mit-breakthrough-2026.json b/inbox/queue/.extraction-debug/2026-01-12-mechanistic-interpretability-mit-breakthrough-2026.json
new file mode 100644
index 00000000..418b236f
--- /dev/null
+++ b/inbox/queue/.extraction-debug/2026-01-12-mechanistic-interpretability-mit-breakthrough-2026.json
@@ -0,0 +1,32 @@
+{
+  "rejected_claims": [
+    {
+      "filename": "mechanistic-interpretability-traces-reasoning-paths-but-cannot-reliably-detect-alignment-relevant-behaviors-creating-scope-gap.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    },
+    {
+      "filename": "interpretability-field-bifurcating-between-mechanistic-understanding-and-pragmatic-application-with-neither-demonstrating-safety-critical-reliability.md",
+      "issues": [
+        "missing_attribution_extractor"
+      ]
+    }
+  ],
+  "validation_stats": {
+    "total": 2,
+    "kept": 0,
+    "fixed": 2,
+    "rejected": 2,
+    "fixes_applied": [
+      "mechanistic-interpretability-traces-reasoning-paths-but-cannot-reliably-detect-alignment-relevant-behaviors-creating-scope-gap.md:set_created:2026-03-23",
+      "interpretability-field-bifurcating-between-mechanistic-understanding-and-pragmatic-application-with-neither-demonstrating-safety-critical-reliability.md:set_created:2026-03-23"
+    ],
+    "rejections": [
+      "mechanistic-interpretability-traces-reasoning-paths-but-cannot-reliably-detect-alignment-relevant-behaviors-creating-scope-gap.md:missing_attribution_extractor",
+      "interpretability-field-bifurcating-between-mechanistic-understanding-and-pragmatic-application-with-neither-demonstrating-safety-critical-reliability.md:missing_attribution_extractor"
+    ]
+  },
+  "model": "anthropic/claude-sonnet-4.5",
+  "date": "2026-03-23"
+}
\ No newline at end of file
diff --git a/inbox/queue/2026-01-12-mechanistic-interpretability-mit-breakthrough-2026.md b/inbox/queue/2026-01-12-mechanistic-interpretability-mit-breakthrough-2026.md
index 7c304b4a..4b6eecf7 100644
--- a/inbox/queue/2026-01-12-mechanistic-interpretability-mit-breakthrough-2026.md
+++ b/inbox/queue/2026-01-12-mechanistic-interpretability-mit-breakthrough-2026.md
@@ -7,9 +7,13 @@ date: 2026-01-12
 domain: ai-alignment
 secondary_domains: []
 format: article
-status: unprocessed
+status: null-result
 priority: medium
 tags: [interpretability, mechanistic-interpretability, anthropic, MIT, breakthrough, alignment-tools, B1-disconfirmation, B4-complication]
+processed_by: theseus
+processed_date: 2026-03-23
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "LLM returned 2 claims, 2 rejected by validator"
 ---
 
 ## Content
@@ -58,3 +62,16 @@ MIT Technology Review named mechanistic interpretability one of its "10 Breakthr
 PRIMARY CONNECTION: [[scalable oversight degrades rapidly as capability gaps grow with debate achieving only 50 percent success at moderate gaps]] — interpretability is an attempt to build new oversight that doesn't degrade with capability; whether it succeeds is a direct test
 WHY ARCHIVED: The strongest technical disconfirmation candidate for B1 and B4 — archive and extract to force a proper confrontation between the positive interpretability evidence and the structural degradation thesis
 EXTRACTION HINT: The scope gap between what interpretability can do (structural tracing) and what alignment needs (behavioral detection under novel conditions) is the key extractable claim — this resolves the apparent tension between "breakthrough" and "still insufficient"
+
+
+## Key Facts
+- MIT Technology Review named mechanistic interpretability one of its '10 Breakthrough Technologies 2026'
+- Anthropic identified features corresponding to recognizable concepts (Michael Jordan, Golden Gate Bridge) in 2024
+- Anthropic extended to trace whole sequences of features and reasoning paths in 2025
+- Anthropic applied interpretability tools in pre-deployment safety assessment of Claude Sonnet 4.5
+- Anthropic's stated 2027 target: 'Reliably detect most AI model problems by 2027'
+- Dario Amodei published essay 'The Urgency of Interpretability' arguing interpretability is existentially urgent
+- DeepMind made strategic pivot away from sparse autoencoders toward 'pragmatic interpretability'
+- Academic consensus: core concepts like 'feature' lack rigorous definitions; many interpretability queries are computationally intractable
+- METR review of Claude Opus 4.6 (March 2026) found 'some low-severity instances of misaligned behaviors not caught in the alignment assessment'
+- METR flagged evaluation awareness as a primary concern in Claude Opus 4.6