Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001642
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
44
morphology-v2 feature dimensions
Closest twin distance
0.148
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001120
distance 0.148
#2 · Hingolicell 4770001353
distance 0.149
#3 · Hingolicell 4770001182
distance 0.158
#4 · Hingolicell 4770001302
distance 0.16
#5 · Hingolicell 4770001697
distance 0.164
#6 · Hingolicell 4770001357
distance 0.171
#7 · Yavatmalcell 5000001441
distance 0.173 · cross-district
#8 · Nandedcell 4850008042
distance 0.173 · cross-district
#9 · Yavatmalcell 5000001065
distance 0.175 · cross-district
#10 · Hingolicell 4770002270
distance 0.175
#11 · Hingolicell 4770001136
distance 0.177
#12 · Yavatmalcell 5000001010
distance 0.182 · cross-district
#13 · Yavatmalcell 5000001628
distance 0.184 · cross-district
#14 · Hingolicell 4770001527
distance 0.185
#15 · Hingolicell 4770001014
distance 0.185
#16 · Hingolicell 4770001119
distance 0.187
#17 · Hingolicell 4770002331
distance 0.187
#18 · Hingolicell 4770001361
distance 0.188
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":4770001642}}}'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.