Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008112
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.27
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007238
distance 0.27
#2 · Nandedcell 4850005161
distance 0.281
#3 · Nandedcell 4850008742
distance 0.297
#4 · Nandedcell 4850008285
distance 0.301
#5 · Chandrapurcell 4730000330
distance 0.314 · cross-district
#6 · Nandedcell 4850003265
distance 0.317
#7 · Washimcell 4990003002
distance 0.317 · cross-district
#8 · Yavatmalcell 5000000128
distance 0.319 · cross-district
#9 · Nandedcell 4850008332
distance 0.322
#10 · Nandedcell 4850008091
distance 0.322
#11 · Buldhanacell 4720002683
distance 0.326 · cross-district
#12 · Chandrapurcell 4730002970
distance 0.331 · cross-district
#13 · Nandedcell 4850008243
distance 0.333
#14 · Nandedcell 4850004753
distance 0.335
#15 · Nandedcell 4850008066
distance 0.337
#16 · Nandedcell 4850004829
distance 0.338
#17 · Nandedcell 4850008569
distance 0.338
#18 · Nandedcell 4850008380
distance 0.34
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":4850008112}}}'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.