Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001648
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.09
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890002128
distance 0.09 · cross-district
#2 · Hingolicell 4770001369
distance 0.101
#3 · Hingolicell 4770001830
distance 0.101
#4 · Hingolicell 4770001950
distance 0.101
#5 · Hingolicell 4770001383
distance 0.102
#6 · Parbhanicell 4890002211
distance 0.104 · cross-district
#7 · Hingolicell 4770000107
distance 0.107
#8 · Hingolicell 4770000106
distance 0.107
#9 · Hingolicell 4770001484
distance 0.107
#10 · Hingolicell 4770002015
distance 0.109
#11 · Hingolicell 4770001307
distance 0.111
#12 · Hingolicell 4770001261
distance 0.111
#13 · Parbhanicell 4890002210
distance 0.112 · cross-district
#14 · Hingolicell 4770002010
distance 0.113
#15 · Hingolicell 4770000599
distance 0.115
#16 · Washimcell 4990001784
distance 0.115 · cross-district
#17 · Nandedcell 4850007873
distance 0.116 · cross-district
#18 · Hingolicell 4770002075
distance 0.117
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":4770001648}}}'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.