Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880004057
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 4880003298
distance 0.053
#2 · Dharashivcell 4880003143
distance 0.087
#3 · Dharashivcell 4880003290
distance 0.103
#4 · Dharashivcell 4880004129
distance 0.112
#5 · Dharashivcell 4880001411
distance 0.119
#6 · Dharashivcell 4880003518
distance 0.126
#7 · Dharashivcell 4880002993
distance 0.127
#8 · Dharashivcell 4880002103
distance 0.129
#9 · Dharashivcell 4880002907
distance 0.129
#10 · Dharashivcell 4880002597
distance 0.134
#11 · Laturcell 4810000884
distance 0.14 · cross-district
#12 · Dharashivcell 4880001510
distance 0.14
#13 · Laturcell 4810001981
distance 0.14 · cross-district
#14 · Laturcell 4810001904
distance 0.142 · cross-district
#15 · Dharashivcell 4880002960
distance 0.142
#16 · Dharashivcell 4880002000
distance 0.143
#17 · Dharashivcell 4880002474
distance 0.143
#18 · Laturcell 4810000551
distance 0.147 · cross-district
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":4880004057}}}'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.