Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880000294
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
0.091
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880000156
distance 0.091
#2 · Dharashivcell 4880000293
distance 0.096
#3 · Solapurcell 4960005948
distance 0.099 · cross-district
#4 · Dharashivcell 4880000002
distance 0.103
#5 · Dharashivcell 4880000075
distance 0.106
#6 · Dharashivcell 4880000243
distance 0.117
#7 · Dharashivcell 4880000074
distance 0.12
#8 · Dharashivcell 4880000352
distance 0.121
#9 · Dharashivcell 4880000240
distance 0.123
#10 · Solapurcell 4960004635
distance 0.124 · cross-district
#11 · Dharashivcell 4880001060
distance 0.125
#12 · Dharashivcell 4880000305
distance 0.126
#13 · Dharashivcell 4880000570
distance 0.126
#14 · Dharashivcell 4880000011
distance 0.129
#15 · Hingolicell 4770003756
distance 0.129 · cross-district
#16 · Beedcell 4700000293
distance 0.129 · cross-district
#17 · Dharashivcell 4880000872
distance 0.129
#18 · Dharashivcell 4880000363
distance 0.13
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":4880000294}}}'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.