Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000005721
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.125
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000003828
distance 0.125
#2 · Yavatmalcell 5000005723
distance 0.155
#3 · Yavatmalcell 5000004553
distance 0.155
#4 · Gadchirolicell 4750011737
distance 0.159 · cross-district
#5 · Yavatmalcell 5000010328
distance 0.162
#6 · Yavatmalcell 5000006433
distance 0.17
#7 · Wardhacell 4980002300
distance 0.179 · cross-district
#8 · Yavatmalcell 5000009483
distance 0.181
#9 · Yavatmalcell 5000011314
distance 0.183
#10 · Yavatmalcell 5000007424
distance 0.184
#11 · Yavatmalcell 5000006195
distance 0.184
#12 · Yavatmalcell 5000007559
distance 0.185
#13 · Yavatmalcell 5000010116
distance 0.185
#14 · Gadchirolicell 4750010135
distance 0.185 · cross-district
#15 · Yavatmalcell 5000010682
distance 0.186
#16 · Yavatmalcell 5000005095
distance 0.186
#17 · Gadchirolicell 4750012055
distance 0.187 · cross-district
#18 · Yavatmalcell 5000011017
distance 0.189
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":5000005721}}}'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.