Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000011196
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.09
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000010976
distance 0.09
#2 · Yavatmalcell 5000010630
distance 0.091
#3 · Yavatmalcell 5000010978
distance 0.092
#4 · Yavatmalcell 5000009611
distance 0.095
#5 · Yavatmalcell 5000010631
distance 0.098
#6 · Yavatmalcell 5000010633
distance 0.106
#7 · Yavatmalcell 5000011056
distance 0.107
#8 · Washimcell 4990004115
distance 0.11 · cross-district
#9 · Yavatmalcell 5000009612
distance 0.113
#10 · Yavatmalcell 5000010364
distance 0.113
#11 · Yavatmalcell 5000011129
distance 0.113
#12 · Yavatmalcell 5000009717
distance 0.116
#13 · Yavatmalcell 5000011127
distance 0.116
#14 · Washimcell 4990003984
distance 0.117 · cross-district
#15 · Yavatmalcell 5000010717
distance 0.117
#16 · Washimcell 4990004022
distance 0.118 · cross-district
#17 · Washimcell 4990004056
distance 0.12 · cross-district
#18 · Washimcell 4990004114
distance 0.122 · 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":5000011196}}}'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.