Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000113
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.089
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000088
distance 0.089
#2 · Hingolicell 4770000068
distance 0.107
#3 · Hingolicell 4770000123
distance 0.117
#4 · Hingolicell 4770000112
distance 0.144
#5 · Nandedcell 4850005934
distance 0.152 · cross-district
#6 · Nandedcell 4850005121
distance 0.156 · cross-district
#7 · Hingolicell 4770000020
distance 0.163
#8 · Nandedcell 4850006086
distance 0.165 · cross-district
#9 · Nandedcell 4850006176
distance 0.167 · cross-district
#10 · Beedcell 4700008703
distance 0.168 · cross-district
#11 · Hingolicell 4770000178
distance 0.172
#12 · Hingolicell 4770000019
distance 0.174
#13 · Hingolicell 4770000255
distance 0.174
#14 · Hingolicell 4770000294
distance 0.176
#15 · Nandedcell 4850005466
distance 0.179 · cross-district
#16 · Hingolicell 4770000298
distance 0.18
#17 · Hingolicell 4770000260
distance 0.181
#18 · Hingolicell 4770000148
distance 0.181
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":4770000113}}}'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.