Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770003142
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
0.12
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720000008
distance 0.12 · cross-district
#2 · Hingolicell 4770003223
distance 0.133
#3 · Hingolicell 4770002978
distance 0.16
#4 · Hingolicell 4770002407
distance 0.173
#5 · Hingolicell 4770003229
distance 0.19
#6 · Hingolicell 4770003060
distance 0.194
#7 · Hingolicell 4770003061
distance 0.194
#8 · Parbhanicell 4890005370
distance 0.195 · cross-district
#9 · Hingolicell 4770003224
distance 0.195
#10 · Hingolicell 4770003298
distance 0.204
#11 · Parbhanicell 4890005098
distance 0.205 · cross-district
#12 · Hingolicell 4770002910
distance 0.21
#13 · Amravaticell 4680002324
distance 0.213 · cross-district
#14 · Hingolicell 4770002476
distance 0.213
#15 · Hingolicell 4770003301
distance 0.214
#16 · Amravaticell 4680001999
distance 0.214 · cross-district
#17 · Hingolicell 4770003056
distance 0.215
#18 · Hingolicell 4770003215
distance 0.218
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":4770003142}}}'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.