Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002399
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
0.171
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001821
distance 0.171
#2 · Hingolicell 4770002046
distance 0.172
#3 · Hingolicell 4770001995
distance 0.186
#4 · Hingolicell 4770001867
distance 0.189
#5 · Hingolicell 4770002000
distance 0.199
#6 · Hingolicell 4770000586
distance 0.209
#7 · Hingolicell 4770002801
distance 0.227
#8 · Hingolicell 4770002719
distance 0.239
#9 · Akolacell 4670003940
distance 0.241 · cross-district
#10 · Hingolicell 4770000376
distance 0.242
#11 · Hingolicell 4770002388
distance 0.248
#12 · Hingolicell 4770002181
distance 0.253
#13 · Amravaticell 4680004685
distance 0.253 · cross-district
#14 · Amravaticell 4680001708
distance 0.254 · cross-district
#15 · Hingolicell 4770002066
distance 0.255
#16 · Hingolicell 4770002307
distance 0.256
#17 · Nandedcell 4850000070
distance 0.257 · cross-district
#18 · Buldhanacell 4720004222
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":4770002399}}}'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.