Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001503
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
45
morphology-v2 feature dimensions
Closest twin distance
0.087
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001277
distance 0.087
#2 · Hingolicell 4770001273
distance 0.144
#3 · Hingolicell 4770001388
distance 0.167
#4 · Hingolicell 4770001562
distance 0.181
#5 · Hingolicell 4770000849
distance 0.181
#6 · Hingolicell 4770001336
distance 0.181
#7 · Hingolicell 4770000732
distance 0.19
#8 · Jalgaoncell 4780002887
distance 0.191 · cross-district
#9 · Hingolicell 4770001505
distance 0.194
#10 · Jalgaoncell 4780003627
distance 0.194 · cross-district
#11 · Jalgaoncell 4780003962
distance 0.194 · cross-district
#12 · Hingolicell 4770001153
distance 0.195
#13 · Hingolicell 4770001039
distance 0.197
#14 · Parbhanicell 4890004102
distance 0.199 · cross-district
#15 · Hingolicell 4770003060
distance 0.201
#16 · Hingolicell 4770000847
distance 0.202
#17 · Jalgaoncell 4780003736
distance 0.204 · cross-district
#18 · Hingolicell 4770001154
distance 0.208
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":4770001503}}}'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.