diff --git a/inbox/queue/2026-03-22-fed-research-kalshi-cpi-prediction-accuracy.md b/inbox/queue/2026-03-22-fed-research-kalshi-cpi-prediction-accuracy.md
index 2cd0e072..9e7330a2 100644
--- a/inbox/queue/2026-03-22-fed-research-kalshi-cpi-prediction-accuracy.md
+++ b/inbox/queue/2026-03-22-fed-research-kalshi-cpi-prediction-accuracy.md
@@ -7,9 +7,12 @@ date: 2026-03-16
 domain: internet-finance
 secondary_domains: []
 format: article
-status: unprocessed
+status: enrichment
 priority: medium
 tags: [prediction-markets, kalshi, federal-reserve, cpi, accuracy, academic, markets-beat-consensus, macro-forecasting]
+processed_by: rio
+processed_date: 2026-03-22
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -56,3 +59,12 @@ A Federal Reserve Board paper (authors: Diercks, Katz, Wright) published March 2
 PRIMARY CONNECTION: [[speculative markets aggregate information more accurately than expert consensus or voting systems]]
 WHY ARCHIVED: Federal Reserve institutional validation of real-money prediction market accuracy; complements the Mellers academic literature and rounds out the evidence base for Belief #1's grounding claims
 EXTRACTION HINT: Archive as supporting evidence for the prediction markets accuracy claim, scoped to "structured macroeconomic event prediction." The FOMC-day perfect match finding is the most archivable specific claim. Note it doesn't address financial selection.
+
+
+## Key Facts
+- Federal Reserve Board published FEDS paper by Diercks, Katz, Wright in March 2026 evaluating Kalshi prediction market accuracy
+- Kalshi markets showed statistically significant improvement over Bloomberg consensus for headline CPI prediction
+- Kalshi markets achieved parity with Bloomberg consensus for core CPI and unemployment forecasting
+- Kalshi perfectly matched realized fed funds rate on the day before every FOMC meeting since 2022
+- Fed paper published same day as CFTC ANPRM (March 16, 2026)
+- Good Judgment Project superforecasters reportedly outperformed futures markets for Fed policy predictions by 66% (FT, July 2024)