Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001447
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.128
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890001525
distance 0.128
#2 · Parbhanicell 4890001370
distance 0.129
#3 · Parbhanicell 4890000936
distance 0.133
#4 · Parbhanicell 4890001524
distance 0.135
#5 · Parbhanicell 4890000939
distance 0.141
#6 · Parbhanicell 4890000881
distance 0.141
#7 · Parbhanicell 4890001057
distance 0.147
#8 · Buldhanacell 4720002167
distance 0.147 · cross-district
#9 · Parbhanicell 4890001058
distance 0.149
#10 · Parbhanicell 4890000822
distance 0.15
#11 · Parbhanicell 4890000997
distance 0.15
#12 · Parbhanicell 4890001059
distance 0.15
#13 · Buldhanacell 4720002225
distance 0.151 · cross-district
#14 · Parbhanicell 4890000878
distance 0.152
#15 · Buldhanacell 4720002233
distance 0.152 · cross-district
#16 · Buldhanacell 4720002221
distance 0.154 · cross-district
#17 · Parbhanicell 4890001000
distance 0.154
#18 · Parbhanicell 4890000999
distance 0.154
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":4890001447}}}'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.