Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002840
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 4770003077
distance 0.053
#2 · Hingolicell 4770003078
distance 0.09
#3 · Parbhanicell 4890005165
distance 0.093 · cross-district
#4 · Hingolicell 4770003382
distance 0.095
#5 · Hingolicell 4770003450
distance 0.096
#6 · Hingolicell 4770003234
distance 0.097
#7 · Parbhanicell 4890005167
distance 0.098 · cross-district
#8 · Hingolicell 4770003246
distance 0.105
#9 · Parbhanicell 4890005164
distance 0.106 · cross-district
#10 · Hingolicell 4770003388
distance 0.107
#11 · Hingolicell 4770002996
distance 0.111
#12 · Parbhanicell 4890005224
distance 0.111 · cross-district
#13 · Hingolicell 4770002146
distance 0.115
#14 · Hingolicell 4770002144
distance 0.117
#15 · Hingolicell 4770003387
distance 0.118
#16 · Hingolicell 4770003241
distance 0.119
#17 · Parbhanicell 4890005131
distance 0.12 · cross-district
#18 · Hingolicell 4770003160
distance 0.121
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":4770002840}}}'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.