diff --git a/inbox/archive/2015-03-00-friston-active-inference-epistemic-value.md b/inbox/archive/2015-03-00-friston-active-inference-epistemic-value.md
index 9b6b49dc..ead0d12f 100644
--- a/inbox/archive/2015-03-00-friston-active-inference-epistemic-value.md
+++ b/inbox/archive/2015-03-00-friston-active-inference-epistemic-value.md
@@ -7,9 +7,14 @@ date: 2015-03-00
 domain: ai-alignment
 secondary_domains: [collective-intelligence, critical-systems]
 format: paper
-status: unprocessed
+status: null-result
 priority: high
 tags: [active-inference, epistemic-value, information-gain, exploration-exploitation, expected-free-energy, curiosity, epistemic-foraging]
+processed_by: theseus
+processed_date: 2025-03-10
+enrichments_applied: ["structured-exploration-protocols-reduce-human-intervention-by-6x-because-the-Residue-prompt-enabled-5-unguided-AI-explorations-to-solve-what-required-31-human-coached-explorations.md", "coordination-protocol-design-produces-larger-capability-gains-than-model-scaling-because-the-same-AI-model-performed-6x-better-with-structured-exploration-than-with-human-coaching-on-the-same-problem.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Foundational paper on epistemic value in active inference. Extracted three claims: (1) epistemic foraging as Bayes-optimal behavior, (2) deliberate vs habitual mode governed by uncertainty, (3) confirmation bias as signal of suboptimal foraging. Enriched two existing claims about structured exploration protocols with theoretical grounding from active inference framework. All three new claims are immediately operationalizable for agent architecture: epistemic value targeting, domain maturity assessment, confirmation bias detection."
 ---
 
 ## Content
diff --git a/inbox/archive/2026-03-09-andrewseb555-x-archive.md b/inbox/archive/2026-03-09-andrewseb555-x-archive.md
index dbd02036..0df983e6 100644
--- a/inbox/archive/2026-03-09-andrewseb555-x-archive.md
+++ b/inbox/archive/2026-03-09-andrewseb555-x-archive.md
@@ -6,7 +6,7 @@ url: https://x.com/AndrewSeb555
 date: 2026-03-09
 domain: internet-finance
 format: tweet
-status: unprocessed
+status: null-result
 tags: [wider-ecosystem, governance, arbitrage, ai-agents, trading]
 linked_set: metadao-x-landscape-2026-03
 curator_notes: |
@@ -21,6 +21,11 @@ extraction_hints:
   - "Liquidation process improvement discussions — enrichment for governance claims"
   - "Low priority — moderate signal, mostly ecosystem participation"
 priority: low
+processed_by: rio
+processed_date: 2026-03-10
+enrichments_applied: ["futarchy-governed-liquidation-is-the-enforcement-mechanism-that-makes-unruggable-ICOs-credible-because-investors-can-force-full-treasury-return-when-teams-materially-misrepresent.md", "futarchy-adoption-faces-friction-from-token-price-psychology-proposal-complexity-and-liquidity-requirements.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
+extraction_notes: "Low-priority source as flagged by curator. Primary value is empirical market data (60-70% arb spreads) confirming liquidity friction in futarchy adoption. Liquidation process improvement discussions indicate iterative governance refinement. No novel claims - author is ecosystem participant rather than builder/analyst. WLFI and Clarity Act mentions are regulatory context but no specific claims extractable. Most content is ecosystem participation noise rather than substantive analysis."
 ---
 
 # @AndrewSeb555 X Archive (March 2026)
@@ -40,3 +45,9 @@ priority: low
 
 ## Noise Filtered Out
 - 26% noise — community engagement, casual takes
+
+
+## Key Facts
+- 60-70% arbitrage opportunities observed in MetaDAO futarchy markets (March 2026)
+- 5 MetaDAO references in 100 tweets (moderate ecosystem engagement)
+- 74% substantive content ratio