Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001632
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 3 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 4770000592
distance 0.113
#2 · Parbhanicell 4890004039
distance 0.151 · cross-district
#3 · Hingolicell 4770000484
distance 0.162
#4 · Hingolicell 4770000682
distance 0.168
#5 · Hingolicell 4770000633
distance 0.174
#6 · Hingolicell 4770000922
distance 0.179
#7 · Hingolicell 4770001575
distance 0.184
#8 · Buldhanacell 4720008103
distance 0.184 · cross-district
#9 · Hingolicell 4770003430
distance 0.186
#10 · Hingolicell 4770000924
distance 0.193
#11 · Buldhanacell 4720008101
distance 0.2 · cross-district
#12 · Hingolicell 4770000745
distance 0.201
#13 · Hingolicell 4770000538
distance 0.203
#14 · Hingolicell 4770000585
distance 0.204
#15 · Hingolicell 4770001878
distance 0.204
#16 · Hingolicell 4770001573
distance 0.208
#17 · Buldhanacell 4720003993
distance 0.21 · cross-district
#18 · Buldhanacell 4720003992
distance 0.213 · 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":4770001632}}}'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.