Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880003391
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.053
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880003640
distance 0.053
#2 · Dharashivcell 4880002815
distance 0.082
#3 · Laturcell 4810000989
distance 0.086 · cross-district
#4 · Dharashivcell 4880003769
distance 0.087
#5 · Dharashivcell 4880003585
distance 0.092
#6 · Dharashivcell 4880003514
distance 0.095
#7 · Dharashivcell 4880003701
distance 0.1
#8 · Laturcell 4810002201
distance 0.105 · cross-district
#9 · Laturcell 4810002649
distance 0.107 · cross-district
#10 · Dharashivcell 4880003507
distance 0.107
#11 · Laturcell 4810002745
distance 0.108 · cross-district
#12 · Dharashivcell 4880005916
distance 0.108
#13 · Dharashivcell 4880003705
distance 0.113
#14 · Dharashivcell 4880004132
distance 0.114
#15 · Dharashivcell 4880003137
distance 0.114
#16 · Dharashivcell 4880004127
distance 0.117
#17 · Dharashivcell 4880003007
distance 0.117
#18 · Dharashivcell 4880003014
distance 0.12
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":4880003391}}}'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.