Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680000355
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 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.101
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680000352
distance 0.101
#2 · Amravaticell 4680000793
distance 0.112
#3 · Amravaticell 4680000356
distance 0.113
#4 · Amravaticell 4680000192
distance 0.127
#5 · Amravaticell 4680001274
distance 0.138
#6 · Amravaticell 4680000231
distance 0.153
#7 · Akolacell 4670004104
distance 0.153 · cross-district
#8 · Washimcell 4990004380
distance 0.156 · cross-district
#9 · Amravaticell 4680001351
distance 0.157
#10 · Amravaticell 4680000257
distance 0.16
#11 · Akolacell 4670001939
distance 0.163 · cross-district
#12 · Akolacell 4670001498
distance 0.166 · cross-district
#13 · Amravaticell 4680000456
distance 0.169
#14 · Amravaticell 4680000654
distance 0.17
#15 · Amravaticell 4680000315
distance 0.171
#16 · Amravaticell 4680000996
distance 0.173
#17 · Akolacell 4670001634
distance 0.174 · cross-district
#18 · Amravaticell 4680000522
distance 0.174
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":4680000355}}}'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.