Bhārata Strata · Maharashtra · Yavatmal · morphological twins
Places like cell 5000000135
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
0.219
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000000559
distance 0.219
#2 · Yavatmalcell 5000000859
distance 0.234
#3 · Yavatmalcell 5000001718
distance 0.235
#4 · Nandedcell 4850006859
distance 0.241 · cross-district
#5 · Yavatmalcell 5000002139
distance 0.242
#6 · Nandedcell 4850006430
distance 0.245 · cross-district
#7 · Yavatmalcell 5000002387
distance 0.246
#8 · Yavatmalcell 5000000021
distance 0.246
#9 · Yavatmalcell 5000000550
distance 0.247
#10 · Yavatmalcell 5000001206
distance 0.247
#11 · Yavatmalcell 5000002261
distance 0.247
#12 · Yavatmalcell 5000000009
distance 0.249
#13 · Yavatmalcell 5000001649
distance 0.25
#14 · Nandedcell 4850006197
distance 0.251 · cross-district
#15 · Yavatmalcell 5000000995
distance 0.252
#16 · Nandedcell 4850007652
distance 0.253 · cross-district
#17 · Yavatmalcell 5000001913
distance 0.256
#18 · Nandedcell 4850007692
distance 0.257 · 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":5000000135}}}'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.