Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000001964
The MH-36 locality cells most similar to this Yavatmal 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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000001852
distance 0.088
#2 · Yavatmalcell 5000001614
distance 0.117
#3 · Yavatmalcell 5000001683
distance 0.131
#4 · Yavatmalcell 5000005323
distance 0.133
#5 · Yavatmalcell 5000001853
distance 0.137
#6 · Yavatmalcell 5000005646
distance 0.144
#7 · Yavatmalcell 5000006250
distance 0.144
#8 · Chandrapurcell 4730001563
distance 0.146 · cross-district
#9 · Yavatmalcell 5000001758
distance 0.147
#10 · Chandrapurcell 4730001668
distance 0.148 · cross-district
#11 · Yavatmalcell 5000001611
distance 0.152
#12 · Nagpurcell 4840006347
distance 0.152 · cross-district
#13 · Yavatmalcell 5000004976
distance 0.153
#14 · Yavatmalcell 5000004098
distance 0.155
#15 · Yavatmalcell 5000002082
distance 0.155
#16 · Yavatmalcell 5000005649
distance 0.156
#17 · Parbhanicell 4890003388
distance 0.157 · cross-district
#18 · Yavatmalcell 5000001610
distance 0.157
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":500,"cluster_id":5000001964}}}'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.