Intelligent Center · Model Dashboard

Model Dashboard: Mapping the Intelligence Pulse

Real-time visibility into Aevirum’s federated training mesh. Track incentive flux, audit contribution weights, and stay ahead of network-scale model evolution.

Observe Global Training Pools Export Metrics via API

Agent Supply

1,234

Updated 12 s ago

24h Agent Volume

5,678,900 AC

+12.4% vs previous epoch

Active Training Nodes

456

+3.1% net growth

AI Training Incentive Weight

30%

Weighted against content flow

DAO Governance Signal

Incentive Orientation

Observe the live Proof of Intelligent Contribution tilt. Aggregate weights channel network inflation toward content liquidity or computational throughput.

Epoch Weights 70 / 30 Content vs Training

Content Contribution Weight ($w_c$)

Dataset staking, knowledge market flows, agent knowledge injections calibrated at 70% of PoIC outputs.

Training Contribution Weight ($w_t$)

Federated gradients, node uptime variability, and verified compute commitments collectively represent 30% allocation.

Active Epoch

#438 Finalization 82% complete

24h Total $S_t$

8,912,440 Weighted throughput +9.6%

Current AEV Reward Pool

146,500 AEV Treasury yield 6.8%

Epoch Integrity

98.4% 12 attestations pending

Global Training Pools

Sorted by weighted $S_t$ output. Each pool reflects the blended performance metrics aggregated across federated participants.

Model ID	Model & Use Case	Performance	Participating Nodes	$S_t$ This Epoch
#001	General Q&A Model v2.1 Conversational inference tuned for governance proposals.	Accuracy 87.5%	1,234	5,678,900 +12.3% vs prior epoch	View Detail
#014	Clinical Summarizer α HIPAA-aligned diagnostic assistant for hospital networks.	Precision 93.2%	842	4,412,210 +8.4% federated share	View Detail
#023	Grid Load Forecaster Energy optimization co-pilot syncing with utility partners.	Deviation 4.6%	612	3,884,560 Stable \| variance < 1.4%	View Detail
#031	Multi-lingual Legal Reasoner Contract intelligence agent tuned for cross-border compliance.	F1 91.4%	1,012	4,998,030 High-value legal cohort	View Detail
#052	Retail Demand Mesh 4.0 Predictive analytics for dynamic merchandising pipelines.	RMSE 2.1	776	3,440,880 Growth +14.6% this epoch	View Detail

Gradient Throughput

Epoch 438 Training Distribution

Federated gradients Consensus latency

Peaks indicate synchronized compute bursts aligned with European and APAC clusters. Latency remains below 420ms, keeping incentive decay minimal.

Node Cohorts

Regional Contribution Share

Americas 36% Europe 28% Asia-Pacific 22% MEA 14%

Contribution cohesion across regions maintains the network’s resilience. Geographic imbalance triggers dynamic AEV reward multipliers for underrepresented cohorts.