Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000000081
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.078
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007076
distance 0.078 · cross-district
#2 · Yavatmalcell 5000000301
distance 0.083
#3 · Nandedcell 4850007347
distance 0.086 · cross-district
#4 · Yavatmalcell 5000000045
distance 0.092
#5 · Yavatmalcell 5000000028
distance 0.093
#6 · Yavatmalcell 5000000032
distance 0.094
#7 · Yavatmalcell 5000000252
distance 0.1
#8 · Nandedcell 4850007416
distance 0.101 · cross-district
#9 · Yavatmalcell 5000000058
distance 0.103
#10 · Nandedcell 4850007601
distance 0.104 · cross-district
#11 · Yavatmalcell 5000000460
distance 0.105
#12 · Yavatmalcell 5000000082
distance 0.113
#13 · Yavatmalcell 5000000062
distance 0.116
#14 · Yavatmalcell 5000000566
distance 0.116
#15 · Yavatmalcell 5000000208
distance 0.119
#16 · Nandedcell 4850006987
distance 0.121 · cross-district
#17 · Yavatmalcell 5000000059
distance 0.121
#18 · Yavatmalcell 5000000077
distance 0.125
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":5000000081}}}'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.