Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002078
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
0.07
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770002200
distance 0.07
#2 · Hingolicell 4770000547
distance 0.099
#3 · Yavatmalcell 5000001232
distance 0.112 · cross-district
#4 · Yavatmalcell 5000000956
distance 0.113 · cross-district
#5 · Hingolicell 4770000993
distance 0.121
#6 · Yavatmalcell 5000001121
distance 0.121 · cross-district
#7 · Hingolicell 4770001613
distance 0.125
#8 · Hingolicell 4770000438
distance 0.134
#9 · Yavatmalcell 5000001122
distance 0.135 · cross-district
#10 · Hingolicell 4770002206
distance 0.136
#11 · Hingolicell 4770000599
distance 0.138
#12 · Hingolicell 4770000323
distance 0.138
#13 · Yavatmalcell 5000001009
distance 0.138 · cross-district
#14 · Hingolicell 4770003818
distance 0.139
#15 · Hingolicell 4770000649
distance 0.14
#16 · Hingolicell 4770001762
distance 0.143
#17 · Hingolicell 4770001414
distance 0.146
#18 · Hingolicell 4770000161
distance 0.147
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":4770002078}}}'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.