Bhārata Strata · Maharashtra · Akola · morphological twins
Places like cell 4670002127
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 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.064
lower = more alike (weighted)
The twins, closest first
#1 · Akolacell 4670002526
distance 0.064
#2 · Akolacell 4670002776
distance 0.068
#3 · Akolacell 4670002441
distance 0.07
#4 · Akolacell 4670002442
distance 0.075
#5 · Akolacell 4670002039
distance 0.085
#6 · Amravaticell 4680001699
distance 0.085 · cross-district
#7 · Akolacell 4670002281
distance 0.088
#8 · Buldhanacell 4720007752
distance 0.091 · cross-district
#9 · Washimcell 4990004445
distance 0.093 · cross-district
#10 · Washimcell 4990004426
distance 0.098 · cross-district
#11 · Akolacell 4670001675
distance 0.098
#12 · Akolacell 4670001888
distance 0.099
#13 · Akolacell 4670002444
distance 0.1
#14 · Akolacell 4670003320
distance 0.105
#15 · Washimcell 4990004278
distance 0.107 · cross-district
#16 · Washimcell 4990004439
distance 0.107 · cross-district
#17 · Akolacell 4670002443
distance 0.107
#18 · Amravaticell 4680002765
distance 0.109 · 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":4670002127}}}'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.