Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000006325
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.166
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000007561
distance 0.166
#2 · Yavatmalcell 5000006035
distance 0.188
#3 · Yavatmalcell 5000006782
distance 0.197
#4 · Amravaticell 4680001415
distance 0.207 · cross-district
#5 · Yavatmalcell 5000007424
distance 0.211
#6 · Yavatmalcell 5000006351
distance 0.212
#7 · Yavatmalcell 5000006595
distance 0.213
#8 · Yavatmalcell 5000007559
distance 0.214
#9 · Gadchirolicell 4750010867
distance 0.214 · cross-district
#10 · Chandrapurcell 4730005372
distance 0.215 · cross-district
#11 · Wardhacell 4980002300
distance 0.217 · cross-district
#12 · Yavatmalcell 5000007140
distance 0.219
#13 · Yavatmalcell 5000006190
distance 0.224
#14 · Yavatmalcell 5000004065
distance 0.228
#15 · Yavatmalcell 5000007948
distance 0.23
#16 · Yavatmalcell 5000006776
distance 0.231
#17 · Yavatmalcell 5000006456
distance 0.231
#18 · Yavatmalcell 5000006509
distance 0.234
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":5000006325}}}'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.