Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880000643
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
0.083
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880000721
distance 0.083
#2 · Dharashivcell 4880000053
distance 0.097
#3 · Dharashivcell 4880000049
distance 0.099
#4 · Dharashivcell 4880000576
distance 0.102
#5 · Solapurcell 4960004956
distance 0.12 · cross-district
#6 · Dharashivcell 4880000201
distance 0.121
#7 · Dharashivcell 4880000420
distance 0.121
#8 · Dharashivcell 4880000158
distance 0.123
#9 · Dharashivcell 4880000205
distance 0.127
#10 · Beedcell 4700000184
distance 0.128 · cross-district
#11 · Dharashivcell 4880000882
distance 0.129
#12 · Dharashivcell 4880000424
distance 0.134
#13 · Dharashivcell 4880000254
distance 0.135
#14 · Dharashivcell 4880000200
distance 0.137
#15 · Beedcell 4700006922
distance 0.137 · cross-district
#16 · Solapurcell 4960005086
distance 0.139 · cross-district
#17 · Dharashivcell 4880000047
distance 0.14
#18 · Dharashivcell 4880000512
distance 0.145
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":4880000643}}}'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.