Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000009
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
0.121
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000034
distance 0.121
#2 · Hingolicell 4770000035
distance 0.123
#3 · Hingolicell 4770000078
distance 0.125
#4 · Hingolicell 4770000308
distance 0.126
#5 · Hingolicell 4770000047
distance 0.127
#6 · Hingolicell 4770000096
distance 0.129
#7 · Nandedcell 4850005460
distance 0.133 · cross-district
#8 · Hingolicell 4770000358
distance 0.135
#9 · Nandedcell 4850005405
distance 0.139 · cross-district
#10 · Hingolicell 4770000259
distance 0.139
#11 · Nandedcell 4850006086
distance 0.14 · cross-district
#12 · Nandedcell 4850005611
distance 0.142 · cross-district
#13 · Hingolicell 4770000287
distance 0.144
#14 · Hingolicell 4770000027
distance 0.146
#15 · Hingolicell 4770000033
distance 0.146
#16 · Hingolicell 4770000032
distance 0.147
#17 · Nandedcell 4850003600
distance 0.149 · cross-district
#18 · Nandedcell 4850004919
distance 0.149 · 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":477,"cluster_id":4770000009}}}'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.