Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880000009
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 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.063
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880000432
distance 0.063
#2 · Dharashivcell 4880000179
distance 0.091
#3 · Dharashivcell 4880000104
distance 0.108
#4 · Dharashivcell 4880001062
distance 0.109
#5 · Dharashivcell 4880000460
distance 0.116
#6 · Dharashivcell 4880000024
distance 0.119
#7 · Dharashivcell 4880000489
distance 0.119
#8 · Solapurcell 4960005543
distance 0.122 · cross-district
#9 · Dharashivcell 4880000331
distance 0.123
#10 · Hingolicell 4770003642
distance 0.126 · cross-district
#11 · Dharashivcell 4880000428
distance 0.132
#12 · Hingolicell 4770003715
distance 0.134 · cross-district
#13 · Dharashivcell 4880001042
distance 0.135
#14 · Dharashivcell 4880000933
distance 0.136
#15 · Dharashivcell 4880000106
distance 0.136
#16 · Dharashivcell 4880000507
distance 0.137
#17 · Dharashivcell 4880001061
distance 0.138
#18 · Dharashivcell 4880000245
distance 0.141
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":4880000009}}}'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.