Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001501
The MH-36 locality cells most similar to this Hingoli 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
0.079
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001086
distance 0.079
#2 · Hingolicell 4770001498
distance 0.082
#3 · Nandedcell 4850007813
distance 0.083 · cross-district
#4 · Hingolicell 4770001148
distance 0.085
#5 · Hingolicell 4770001556
distance 0.087
#6 · Nandedcell 4850007675
distance 0.089 · cross-district
#7 · Hingolicell 4770001495
distance 0.091
#8 · Hingolicell 4770001496
distance 0.093
#9 · Hingolicell 4770001209
distance 0.093
#10 · Hingolicell 4770001206
distance 0.093
#11 · Nandedcell 4850007679
distance 0.095 · cross-district
#12 · Hingolicell 4770001088
distance 0.097
#13 · Nandedcell 4850007520
distance 0.098 · cross-district
#14 · Hingolicell 4770001207
distance 0.099
#15 · Nandedcell 4850007580
distance 0.1 · cross-district
#16 · Hingolicell 4770001149
distance 0.101
#17 · Nandedcell 4850007757
distance 0.101 · cross-district
#18 · Hingolicell 4770001557
distance 0.102
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":477,"cluster_id":4770001501}}}'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.