| --- |
| language: en |
| license: mit |
| task_categories: |
| - text-classification |
| tags: |
| - ai-safety |
| - temporal-cascade |
| - five-node-cascade |
| size_categories: |
| - 1K<n<10K |
| pretty_name: "AI Multi-Agent Temporal Cascade: Coordination Lock-in" |
| --- |
| |
| # What this repo does |
|
|
| This dataset tests whether a model can detect a multi-agent coordination cascade forming over time by reading a short ordered window of signals and predicting whether coordination lock-in occurs by the final step. |
|
|
| # Core quad |
|
|
| pressure |
| buffer |
| lag |
| coupling |
|
|
| # Prediction target |
|
|
| label_cascade_state |
|
|
| # Row structure |
|
|
| One row represents one short time window (t0 to t3) for a multi-agent system under coordination stress. It includes time-series values for competitive pressure, shared resource buffer, arbitration lag, and inter-agent coupling density. The label marks whether coordination cascade lock-in is reached by t3. |
|
|
| # Files |
|
|
| data/train.csv |
| data/tester.csv |
| scorer.py |
|
|
| # Evaluation |
|
|
| Run predictions on tester.csv. |
| Score with scorer.py. |
|
|
| # License |
|
|
| MIT |
|
|
| ## Structural Note |
|
|
| This dataset identifies a measurable coupling pattern associated with systemic instability. |
| The sample demonstrates the geometry. |
| Production-scale data determines operational exposure. |
|
|
| ## What Production Deployment Enables |
|
|
| • 50K–1M row datasets calibrated to real operational patterns |
| • Pair, triadic, and quad coupling analysis |
| • Real-time coherence monitoring |
| • Early warning before cascade events |
| • Collapse surface and recovery window modeling |
| • Integration and implementation support |
|
|
| Small samples reveal structure. |
| Scale reveals consequence. |
|
|
| ## Enterprise & Research Collaboration |
|
|
| Clarus develops production-scale coherence monitoring infrastructure for critical systems across healthcare, finance, infrastructure, and regulatory domains. |
|
|
| For dataset expansion, custom coherence scorers, or deployment architecture: |
| [team@clarusinvariant.com](mailto:team@clarusinvariant.com) |
|
|
| Instability is detectable. |
| Governance determines whether it propagates. |
