Bhārata Strata · Maharashtra · Akola · morphological twins
Places like cell 4670002170
The MH-36 locality cells most similar to this Akola 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 5 distinct districts
Index confidence
0.95
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.14
lower = more alike (weighted)
The twins, closest first
#1 · Akolacell 4670001571
distance 0.14
#2 · Akolacell 4670002267
distance 0.177
#3 · Akolacell 4670002248
distance 0.182
#4 · Akolacell 4670002108
distance 0.195
#5 · Akolacell 4670002246
distance 0.196
#6 · Akolacell 4670001911
distance 0.197
#7 · Amravaticell 4680003182
distance 0.198 · cross-district
#8 · Buldhanacell 4720006496
distance 0.204 · cross-district
#9 · Washimcell 4990000849
distance 0.206 · cross-district
#10 · Amravaticell 4680002792
distance 0.207 · cross-district
#11 · Akolacell 4670002247
distance 0.208
#12 · Akolacell 4670001569
distance 0.209
#13 · Akolacell 4670002468
distance 0.209
#14 · Akolacell 4670001828
distance 0.216
#15 · Amravaticell 4680002593
distance 0.217 · cross-district
#16 · Akolacell 4670002087
distance 0.222
#17 · Nashikcell 4870011467
distance 0.222 · cross-district
#18 · Amravaticell 4680001364
distance 0.224 · 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":467,"cluster_id":4670002170}}}'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.