Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890000973
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.113
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000971
distance 0.113
#2 · Parbhanicell 4890001218
distance 0.116
#3 · Parbhanicell 4890000730
distance 0.117
#4 · Parbhanicell 4890000970
distance 0.125
#5 · Parbhanicell 4890001575
distance 0.133
#6 · Parbhanicell 4890001560
distance 0.136
#7 · Parbhanicell 4890003800
distance 0.138
#8 · Beedcell 4700004656
distance 0.138 · cross-district
#9 · Parbhanicell 4890003995
distance 0.138
#10 · Parbhanicell 4890001029
distance 0.138
#11 · Beedcell 4700006465
distance 0.14 · cross-district
#12 · Beedcell 4700006865
distance 0.143 · cross-district
#13 · Parbhanicell 4890000514
distance 0.146
#14 · Parbhanicell 4890004565
distance 0.146
#15 · Parbhanicell 4890003401
distance 0.146
#16 · Beedcell 4700004142
distance 0.147 · cross-district
#17 · Parbhanicell 4890002660
distance 0.147
#18 · Beedcell 4700006931
distance 0.148 · 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":4890000973}}}'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.