Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880003003
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.116
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880001749
distance 0.116
#2 · Dharashivcell 4880003902
distance 0.12
#3 · Dharashivcell 4880004132
distance 0.122
#4 · Dharashivcell 4880003344
distance 0.137
#5 · Dharashivcell 4880003093
distance 0.144
#6 · Dharashivcell 4880002790
distance 0.145
#7 · Laturcell 4810001199
distance 0.147 · cross-district
#8 · Dharashivcell 4880002815
distance 0.149
#9 · Dharashivcell 4880003097
distance 0.151
#10 · Dharashivcell 4880003001
distance 0.153
#11 · Dharashivcell 4880002386
distance 0.154
#12 · Sanglicell 4930000496
distance 0.156 · cross-district
#13 · Solapurcell 4960006585
distance 0.156 · cross-district
#14 · Dharashivcell 4880003560
distance 0.159
#15 · Dharashivcell 4880003190
distance 0.159
#16 · Dharashivcell 4880002965
distance 0.159
#17 · Laturcell 4810001941
distance 0.16 · cross-district
#18 · Dharashivcell 4880003747
distance 0.162
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":4880003003}}}'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.