Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001413
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
0.115
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000937
distance 0.115
#2 · Hingolicell 4770000999
distance 0.131
#3 · Hingolicell 4770001644
distance 0.136
#4 · Hingolicell 4770001120
distance 0.142
#5 · Hingolicell 4770001181
distance 0.143
#6 · Hingolicell 4770001698
distance 0.145
#7 · Yavatmalcell 5000001176
distance 0.146 · cross-district
#8 · Hingolicell 4770001753
distance 0.148
#9 · Hingolicell 4770001582
distance 0.149
#10 · Hingolicell 4770001199
distance 0.15
#11 · Hingolicell 4770001062
distance 0.151
#12 · Yavatmalcell 5000001442
distance 0.153 · cross-district
#13 · Hingolicell 4770001242
distance 0.153
#14 · Hingolicell 4770001415
distance 0.155
#15 · Yavatmalcell 5000001342
distance 0.155 · cross-district
#16 · Yavatmalcell 5000001125
distance 0.158 · cross-district
#17 · Yavatmalcell 5000001445
distance 0.159 · cross-district
#18 · Hingolicell 4770001133
distance 0.16
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":4770001413}}}'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.