Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880003686
The MH-36 locality cells most similar to this Dharashiv cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.157
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880003284
distance 0.157
#2 · Dharashivcell 4880003337
distance 0.184
#3 · Dharashivcell 4880003030
distance 0.195
#4 · Dharashivcell 4880002873
distance 0.198
#5 · Dharashivcell 4880003627
distance 0.21
#6 · Dharashivcell 4880003169
distance 0.219
#7 · Dharashivcell 4880003289
distance 0.227
#8 · Dharashivcell 4880003085
distance 0.233
#9 · Laturcell 4810001355
distance 0.233 · cross-district
#10 · Laturcell 4810001070
distance 0.235 · cross-district
#11 · Dharashivcell 4880003172
distance 0.237
#12 · Dharashivcell 4880004731
distance 0.241
#13 · Laturcell 4810002027
distance 0.245 · cross-district
#14 · Laturcell 4810005754
distance 0.245 · cross-district
#15 · Dharashivcell 4880006132
distance 0.246
#16 · Dharashivcell 4880003250
distance 0.248
#17 · Dharashivcell 4880003235
distance 0.248
#18 · Dharashivcell 4880003505
distance 0.249
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":488,"cluster_id":4880003686}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.