Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000707
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
0.114
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000010
distance 0.114
#2 · Hingolicell 4770000548
distance 0.133
#3 · Hingolicell 4770000277
distance 0.135
#4 · Hingolicell 4770000502
distance 0.151
#5 · Hingolicell 4770000109
distance 0.17
#6 · Hingolicell 4770000437
distance 0.185
#7 · Hingolicell 4770001194
distance 0.19
#8 · Yavatmalcell 5000001174
distance 0.192 · cross-district
#9 · Hingolicell 4770001073
distance 0.193
#10 · Hingolicell 4770000279
distance 0.197
#11 · Hingolicell 4770000820
distance 0.198
#12 · Chandrapurcell 4730001698
distance 0.198 · cross-district
#13 · Washimcell 4990003220
distance 0.199 · cross-district
#14 · Washimcell 4990001883
distance 0.204 · cross-district
#15 · Hingolicell 4770000613
distance 0.205
#16 · Washimcell 4990003338
distance 0.206 · cross-district
#17 · Hingolicell 4770001202
distance 0.206
#18 · Hingolicell 4770000933
distance 0.207
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":4770000707}}}'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.