Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001617
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
0.113
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001450
distance 0.113
#2 · Hingolicell 4770000968
distance 0.144
#3 · Hingolicell 4770001156
distance 0.166
#4 · Hingolicell 4770001096
distance 0.171
#5 · Hingolicell 4770001151
distance 0.172
#6 · Hingolicell 4770001218
distance 0.189
#7 · Parbhanicell 4890002297
distance 0.205 · cross-district
#8 · Hingolicell 4770001157
distance 0.207
#9 · Hingolicell 4770001451
distance 0.215
#10 · Hingolicell 4770001561
distance 0.218
#11 · Hingolicell 4770001097
distance 0.219
#12 · Hingolicell 4770001454
distance 0.221
#13 · Amravaticell 4680004701
distance 0.229 · cross-district
#14 · Parbhanicell 4890003190
distance 0.231 · cross-district
#15 · Nagpurcell 4840007116
distance 0.238 · cross-district
#16 · Parbhanicell 4890003198
distance 0.242 · cross-district
#17 · Hingolicell 4770003372
distance 0.244
#18 · Hingolicell 4770000850
distance 0.246
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":4770001617}}}'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.