Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002000
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.165
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770002046
distance 0.165
#2 · Hingolicell 4770002399
distance 0.199
#3 · Hingolicell 4770002181
distance 0.205
#4 · Buldhanacell 4720003842
distance 0.206 · cross-district
#5 · Hingolicell 4770002801
distance 0.208
#6 · Hingolicell 4770001821
distance 0.212
#7 · Hingolicell 4770001822
distance 0.215
#8 · Hingolicell 4770001815
distance 0.22
#9 · Buldhanacell 4720007581
distance 0.222 · cross-district
#10 · Hingolicell 4770003199
distance 0.224
#11 · Hingolicell 4770000376
distance 0.226
#12 · Buldhanacell 4720003762
distance 0.227 · cross-district
#13 · Hingolicell 4770001806
distance 0.231
#14 · Hingolicell 4770000586
distance 0.231
#15 · Buldhanacell 4720003157
distance 0.234 · cross-district
#16 · Buldhanacell 4720004222
distance 0.235 · cross-district
#17 · Hingolicell 4770001995
distance 0.235
#18 · Hingolicell 4770002448
distance 0.239
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":4770002000}}}'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.