Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002735
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
44
morphology-v2 feature dimensions
Closest twin distance
0.116
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770002133
distance 0.116
#2 · Hingolicell 4770002887
distance 0.151
#3 · Hingolicell 4770002601
distance 0.152
#4 · Hingolicell 4770002890
distance 0.192
#5 · Hingolicell 4770002965
distance 0.212
#6 · Parbhanicell 4890005241
distance 0.224 · cross-district
#7 · Hingolicell 4770003446
distance 0.226
#8 · Hingolicell 4770003509
distance 0.227
#9 · Hingolicell 4770000862
distance 0.234
#10 · Hingolicell 4770002872
distance 0.237
#11 · Parbhanicell 4890005050
distance 0.239 · cross-district
#12 · Nagpurcell 4840007613
distance 0.239 · cross-district
#13 · Hingolicell 4770002893
distance 0.244
#14 · Nagpurcell 4840007533
distance 0.245 · cross-district
#15 · Hingolicell 4770003294
distance 0.249
#16 · Hingolicell 4770002736
distance 0.252
#17 · Hingolicell 4770001349
distance 0.252
#18 · Washimcell 4990001321
distance 0.257 · 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":4770002735}}}'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.