Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850001192
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.095
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850001140
distance 0.095
#2 · Nandedcell 4850004106
distance 0.154
#3 · Nandedcell 4850000976
distance 0.164
#4 · Nandedcell 4850004250
distance 0.172
#5 · Jalgaoncell 4780007319
distance 0.176 · cross-district
#6 · Nandedcell 4850002113
distance 0.18
#7 · Nandedcell 4850002914
distance 0.182
#8 · Beedcell 4700000748
distance 0.182 · cross-district
#9 · Beedcell 4700007597
distance 0.185 · cross-district
#10 · Nandedcell 4850001305
distance 0.187
#11 · Beedcell 4700000855
distance 0.19 · cross-district
#12 · Nandedcell 4850004119
distance 0.19
#13 · Nandedcell 4850001257
distance 0.191
#14 · Beedcell 4700001574
distance 0.192 · cross-district
#15 · Nandedcell 4850002294
distance 0.194
#16 · Jalgaoncell 4780000157
distance 0.194 · cross-district
#17 · Nandedcell 4850001748
distance 0.194
#18 · Beedcell 4700002509
distance 0.195 · 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":485,"cluster_id":4850001192}}}'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.