Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000010139
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
0.146
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000008994
distance 0.146
#2 · Yavatmalcell 5000010537
distance 0.147
#3 · Yavatmalcell 5000005919
distance 0.167
#4 · Nagpurcell 4840000547
distance 0.168 · cross-district
#5 · Yavatmalcell 5000007477
distance 0.171
#6 · Yavatmalcell 5000006514
distance 0.175
#7 · Yavatmalcell 5000007611
distance 0.176
#8 · Gadchirolicell 4750010916
distance 0.177 · cross-district
#9 · Yavatmalcell 5000008291
distance 0.178
#10 · Yavatmalcell 5000008005
distance 0.18
#11 · Yavatmalcell 5000004616
distance 0.18
#12 · Chandrapurcell 4730008047
distance 0.181 · cross-district
#13 · Yavatmalcell 5000008165
distance 0.187
#14 · Yavatmalcell 5000008806
distance 0.188
#15 · Yavatmalcell 5000005144
distance 0.19
#16 · Yavatmalcell 5000011016
distance 0.19
#17 · Yavatmalcell 5000007271
distance 0.191
#18 · Chandrapurcell 4730007830
distance 0.192 · 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":500,"cluster_id":5000010139}}}'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.