Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880000145
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.087
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880000653
distance 0.087
#2 · Dharashivcell 4880000054
distance 0.093
#3 · Dharashivcell 4880000706
distance 0.111
#4 · Beedcell 4700000541
distance 0.119 · cross-district
#5 · Hingolicell 4770003711
distance 0.123 · cross-district
#6 · Dharashivcell 4880000506
distance 0.124
#7 · Dharashivcell 4880000952
distance 0.124
#8 · Dharashivcell 4880000362
distance 0.127
#9 · Dharashivcell 4880000790
distance 0.127
#10 · Hingolicell 4770003702
distance 0.128 · cross-district
#11 · Dharashivcell 4880000112
distance 0.13
#12 · Dharashivcell 4880001028
distance 0.13
#13 · Dharashivcell 4880000953
distance 0.13
#14 · Dharashivcell 4880000147
distance 0.133
#15 · Dharashivcell 4880000018
distance 0.134
#16 · Dharashivcell 4880001141
distance 0.134
#17 · Washimcell 4990001086
distance 0.134 · cross-district
#18 · Dharashivcell 4880000505
distance 0.134
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":4880000145}}}'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.