Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001406
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
0.152
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001405
distance 0.152
#2 · Hingolicell 4770002534
distance 0.213
#3 · Hingolicell 4770001403
distance 0.214
#4 · Hingolicell 4770001515
distance 0.219
#5 · Hingolicell 4770000865
distance 0.224
#6 · Hingolicell 4770001745
distance 0.24
#7 · Jalgaoncell 4780003740
distance 0.241 · cross-district
#8 · Hingolicell 4770001170
distance 0.245
#9 · Hingolicell 4770002246
distance 0.248
#10 · Hingolicell 4770000488
distance 0.252
#11 · Hingolicell 4770000976
distance 0.255
#12 · Amravaticell 4680005997
distance 0.256 · cross-district
#13 · Jalgaoncell 4780003413
distance 0.256 · cross-district
#14 · Hingolicell 4770001169
distance 0.257
#15 · Hingolicell 4770002453
distance 0.257
#16 · Akolacell 4670000705
distance 0.258 · cross-district
#17 · Hingolicell 4770002878
distance 0.258
#18 · Amravaticell 4680007800
distance 0.258 · cross-district
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":4770001406}}}'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.