Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001820
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.089
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890002654
distance 0.089
#2 · Parbhanicell 4890003302
distance 0.096
#3 · Parbhanicell 4890001819
distance 0.131
#4 · Beedcell 4700007370
distance 0.134 · cross-district
#5 · Beedcell 4700000738
distance 0.138 · cross-district
#6 · Parbhanicell 4890001208
distance 0.138
#7 · Parbhanicell 4890001728
distance 0.139
#8 · Parbhanicell 4890003060
distance 0.141
#9 · Parbhanicell 4890002489
distance 0.142
#10 · Parbhanicell 4890002980
distance 0.145
#11 · Parbhanicell 4890002738
distance 0.146
#12 · Parbhanicell 4890004106
distance 0.148
#13 · Parbhanicell 4890003515
distance 0.151
#14 · Parbhanicell 4890002829
distance 0.152
#15 · Beedcell 4700008097
distance 0.153 · cross-district
#16 · Parbhanicell 4890002419
distance 0.153
#17 · Washimcell 4990000284
distance 0.156 · cross-district
#18 · Beedcell 4700007137
distance 0.156 · 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":4890001820}}}'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.