Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770002910
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770003061
distance 0.129
#2 · Hingolicell 4770003224
distance 0.145
#3 · Buldhanacell 4720000008
distance 0.15 · cross-district
#4 · Hingolicell 4770002476
distance 0.153
#5 · Hingolicell 4770002978
distance 0.162
#6 · Hingolicell 4770002832
distance 0.17
#7 · Hingolicell 4770003230
distance 0.192
#8 · Hingolicell 4770003301
distance 0.201
#9 · Hingolicell 4770002988
distance 0.203
#10 · Hingolicell 4770003142
distance 0.21
#11 · Parbhanicell 4890005207
distance 0.216 · cross-district
#12 · Hingolicell 4770003222
distance 0.218
#13 · Buldhanacell 4720007094
distance 0.22 · cross-district
#14 · Hingolicell 4770002984
distance 0.22
#15 · Amravaticell 4680001812
distance 0.223 · cross-district
#16 · Hingolicell 4770002983
distance 0.226
#17 · Parbhanicell 4890005388
distance 0.226 · cross-district
#18 · Hingolicell 4770003225
distance 0.227
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":4770002910}}}'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.