Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850004924
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.202
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850004594
distance 0.202
#2 · Nandedcell 4850005259
distance 0.223
#3 · Parbhanicell 4890001463
distance 0.231 · cross-district
#4 · Nandedcell 4850005613
distance 0.257
#5 · Sanglicell 4930000155
distance 0.259 · cross-district
#6 · Hingolicell 4770000303
distance 0.265 · cross-district
#7 · Nandedcell 4850002057
distance 0.272
#8 · Parbhanicell 4890000236
distance 0.281 · cross-district
#9 · Nandedcell 4850006829
distance 0.288
#10 · Ahmednagarcell 4660012367
distance 0.288 · cross-district
#11 · Nandedcell 4850005327
distance 0.296
#12 · Nandedcell 4850006088
distance 0.296
#13 · Nandedcell 4850003670
distance 0.297
#14 · Nandedcell 4850006257
distance 0.298
#15 · Beedcell 4700001288
distance 0.298 · cross-district
#16 · Nandedcell 4850003345
distance 0.3
#17 · Nandedcell 4850004925
distance 0.304
#18 · Nandedcell 4850005657
distance 0.305
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":4850004924}}}'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.