Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000531
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.151
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000864
distance 0.151
#2 · Hingolicell 4770001511
distance 0.166
#3 · Hingolicell 4770000697
distance 0.167
#4 · Hingolicell 4770000852
distance 0.168
#5 · Hingolicell 4770000422
distance 0.172
#6 · Hingolicell 4770002655
distance 0.19
#7 · Hingolicell 4770000125
distance 0.191
#8 · Hingolicell 4770001402
distance 0.191
#9 · Buldhanacell 4720008027
distance 0.197 · cross-district
#10 · Hingolicell 4770000373
distance 0.204
#11 · Hingolicell 4770003125
distance 0.206
#12 · Hingolicell 4770002319
distance 0.207
#13 · Parbhanicell 4890003661
distance 0.208 · cross-district
#14 · Amravaticell 4680005334
distance 0.208 · cross-district
#15 · Hingolicell 4770000980
distance 0.21
#16 · Amravaticell 4680004603
distance 0.21 · cross-district
#17 · Hingolicell 4770002182
distance 0.211
#18 · Akolacell 4670003811
distance 0.218 · 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":4770000531}}}'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.