Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007356
The MH-36 locality cells most similar to this Nanded 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
0.19
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000000260
distance 0.19 · cross-district
#2 · Nandedcell 4850007082
distance 0.206
#3 · Yavatmalcell 5000000169
distance 0.227 · cross-district
#4 · Nandedcell 4850007649
distance 0.236
#5 · Nandedcell 4850006692
distance 0.239
#6 · Yavatmalcell 5000000022
distance 0.24 · cross-district
#7 · Yavatmalcell 5000000204
distance 0.251 · cross-district
#8 · Nandedcell 4850008746
distance 0.256
#9 · Yavatmalcell 5000000986
distance 0.256 · cross-district
#10 · Nandedcell 4850006710
distance 0.26
#11 · Nandedcell 4850006613
distance 0.262
#12 · Yavatmalcell 5000000165
distance 0.264 · cross-district
#13 · Nandedcell 4850008378
distance 0.265
#14 · Nandedcell 4850007285
distance 0.267
#15 · Nandedcell 4850008777
distance 0.267
#16 · Nandedcell 4850006643
distance 0.269
#17 · Nandedcell 4850006117
distance 0.269
#18 · Nandedcell 4850005350
distance 0.269
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":485,"cluster_id":4850007356}}}'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.