Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880000508
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.09
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880000192
distance 0.09
#2 · Dharashivcell 4880000155
distance 0.094
#3 · Dharashivcell 4880000026
distance 0.107
#4 · Dharashivcell 4880000008
distance 0.11
#5 · Dharashivcell 4880000149
distance 0.113
#6 · Beedcell 4700000536
distance 0.123 · cross-district
#7 · Dharashivcell 4880000015
distance 0.124
#8 · Dharashivcell 4880000191
distance 0.125
#9 · Dharashivcell 4880000646
distance 0.125
#10 · Dharashivcell 4880000577
distance 0.125
#11 · Dharashivcell 4880000045
distance 0.127
#12 · Dharashivcell 4880000230
distance 0.127
#13 · Dharashivcell 4880000032
distance 0.128
#14 · Dharashivcell 4880000108
distance 0.129
#15 · Dharashivcell 4880000019
distance 0.131
#16 · Dharashivcell 4880000578
distance 0.132
#17 · Washimcell 4990000828
distance 0.133 · cross-district
#18 · Beedcell 4700000355
distance 0.134 · cross-district
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":4880000508}}}'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.