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Earlier sources: Artificial Intelligence
Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗5996 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- GitHub · Repository created · First archived
alphaparkinc/genpark-page-rank-power-iteration-centrality-skill ↗
PageRank random walk and power iteration centrality engine scoring authority and influence across interconnected agent networks.
- GitHub · Repository created · First archived
Alpha-Park/genpark-minimum-spanning-tree-kruskal-prim-skill ↗
Minimum Spanning Tree (MST) solver using Kruskal's disjoint-set union-find for optimal multi-agent communications backbones.
- GitHub · Repository created · First archived
alphaparkinc/genpark-minimum-spanning-tree-kruskal-prim-skill ↗
Minimum Spanning Tree (MST) solver using Kruskal's disjoint-set union-find for optimal multi-agent communications backbones.
- GitHub · Repository created · First archived
Alpha-Park/genpark-maximum-flow-edmonds-karp-network-skill ↗
Edmonds-Karp network flow engine with BFS augmenting paths computing maximum flow and minimum cut bottlenecks for multi-agent routing.
- GitHub · Repository created · First archived
alphaparkinc/genpark-maximum-flow-edmonds-karp-network-skill ↗
Edmonds-Karp network flow engine with BFS augmenting paths computing maximum flow and minimum cut bottlenecks for multi-agent routing.
- GitHub · Repository created · First archived
Alpha-Park/genpark-topological-sorter-tarjan-scc-skill ↗
Directed acyclic graph (DAG) topological sorting and Tarjan's strongly connected components (SCC) engine for agent dependency resolution.
- GitHub · Repository created · First archived
alphaparkinc/genpark-topological-sorter-tarjan-scc-skill ↗
Directed acyclic graph (DAG) topological sorting and Tarjan's strongly connected components (SCC) engine for agent dependency resolution.
- GitHub · Repository created · First archived
Alpha-Park/genpark-graph-dijkstra-astar-pathfinder-skill ↗
Graph pathfinding engine implementing Dijkstra's shortest path and A* heuristic routing with priority queues for agent planning.
- GitHub · Repository created · First archived
alphaparkinc/genpark-graph-dijkstra-astar-pathfinder-skill ↗
Graph pathfinding engine implementing Dijkstra's shortest path and A* heuristic routing with priority queues for agent planning.
- GitHub · Repository created · First archived
Alpha-Park/genpark-yield-curve-nelson-siegel-interpolator-skill ↗
Nelson-Siegel parametric zero-coupon yield curve modeling engine fitting spot rates, decay factor, level, slope, and curvature components.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Artificial Intelligence
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.