Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680000243
The MH-36 locality cells most similar to this Amravati 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
0.069
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680000283
distance 0.069
#2 · Amravaticell 4680000284
distance 0.072
#3 · Amravaticell 4680000244
distance 0.121
#4 · Amravaticell 4680000128
distance 0.121
#5 · Amravaticell 4680000297
distance 0.125
#6 · Amravaticell 4680000084
distance 0.127
#7 · Amravaticell 4680000092
distance 0.132
#8 · Washimcell 4990003975
distance 0.139 · cross-district
#9 · Amravaticell 4680000156
distance 0.149
#10 · Washimcell 4990004160
distance 0.15 · cross-district
#11 · Amravaticell 4680001130
distance 0.151
#12 · Amravaticell 4680000423
distance 0.153
#13 · Amravaticell 4680001022
distance 0.157
#14 · Amravaticell 4680000065
distance 0.159
#15 · Akolacell 4670001216
distance 0.159 · cross-district
#16 · Parbhanicell 4890001778
distance 0.161 · cross-district
#17 · Amravaticell 4680000044
distance 0.163
#18 · Akolacell 4670001226
distance 0.163 · 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":468,"cluster_id":4680000243}}}'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.