Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001073
The MH-36 locality cells most similar to this Parbhani 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.051
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890001078
distance 0.051
#2 · Parbhanicell 4890000946
distance 0.088
#3 · Nandedcell 4850004170
distance 0.098 · cross-district
#4 · Parbhanicell 4890001009
distance 0.103
#5 · Parbhanicell 4890000835
distance 0.107
#6 · Parbhanicell 4890001138
distance 0.111
#7 · Parbhanicell 4890001139
distance 0.123
#8 · Parbhanicell 4890001010
distance 0.124
#9 · Parbhanicell 4890001067
distance 0.129
#10 · Parbhanicell 4890001013
distance 0.131
#11 · Parbhanicell 4890001262
distance 0.133
#12 · Parbhanicell 4890001203
distance 0.134
#13 · Nandedcell 4850003959
distance 0.136 · cross-district
#14 · Parbhanicell 4890001068
distance 0.138
#15 · Nandedcell 4850004034
distance 0.142 · cross-district
#16 · Laturcell 4810005686
distance 0.143 · cross-district
#17 · Parbhanicell 4890000945
distance 0.144
#18 · Nandedcell 4850004240
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":489,"cluster_id":4890001073}}}'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.