Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880003052
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
0.07
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880003515
distance 0.07
#2 · Laturcell 4810001944
distance 0.081 · cross-district
#3 · Dharashivcell 4880003449
distance 0.084
#4 · Dharashivcell 4880003833
distance 0.085
#5 · Dharashivcell 4880003578
distance 0.091
#6 · Laturcell 4810001679
distance 0.096 · cross-district
#7 · Dharashivcell 4880002924
distance 0.096
#8 · Dharashivcell 4880003707
distance 0.096
#9 · Dharashivcell 4880003898
distance 0.098
#10 · Dharashivcell 4880003972
distance 0.1
#11 · Dharashivcell 4880003905
distance 0.101
#12 · Dharashivcell 4880003910
distance 0.103
#13 · Dharashivcell 4880003828
distance 0.107
#14 · Laturcell 4810002554
distance 0.107 · cross-district
#15 · Dharashivcell 4880003458
distance 0.107
#16 · Laturcell 4810002113
distance 0.108 · cross-district
#17 · Dharashivcell 4880002921
distance 0.109
#18 · Dharashivcell 4880003650
distance 0.111
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":4880003052}}}'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.