Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770003077
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
0.053
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770002840
distance 0.053
#2 · Hingolicell 4770003078
distance 0.067
#3 · Hingolicell 4770003246
distance 0.098
#4 · Hingolicell 4770002146
distance 0.11
#5 · Parbhanicell 4890005164
distance 0.113 · cross-district
#6 · Hingolicell 4770003382
distance 0.114
#7 · Hingolicell 4770003234
distance 0.114
#8 · Parbhanicell 4890005224
distance 0.114 · cross-district
#9 · Hingolicell 4770002921
distance 0.114
#10 · Hingolicell 4770002996
distance 0.115
#11 · Parbhanicell 4890005167
distance 0.116 · cross-district
#12 · Hingolicell 4770003450
distance 0.118
#13 · Parbhanicell 4890005165
distance 0.119 · cross-district
#14 · Hingolicell 4770003388
distance 0.12
#15 · Parbhanicell 4890005202
distance 0.122 · cross-district
#16 · Hingolicell 4770003156
distance 0.122
#17 · Hingolicell 4770002837
distance 0.123
#18 · Hingolicell 4770003387
distance 0.124
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":4770003077}}}'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.