Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680000539
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680000996
distance 0.088
#2 · Amravaticell 4680001601
distance 0.102
#3 · Amravaticell 4680000536
distance 0.103
#4 · Amravaticell 4680000276
distance 0.106
#5 · Akolacell 4670000894
distance 0.107 · cross-district
#6 · Akolacell 4670001713
distance 0.109 · cross-district
#7 · Amravaticell 4680000456
distance 0.11
#8 · Amravaticell 4680001350
distance 0.113
#9 · Amravaticell 4680000729
distance 0.114
#10 · Amravaticell 4680001131
distance 0.114
#11 · Amravaticell 4680000805
distance 0.116
#12 · Amravaticell 4680001712
distance 0.122
#13 · Akolacell 4670003838
distance 0.122 · cross-district
#14 · Amravaticell 4680000806
distance 0.123
#15 · Amravaticell 4680001713
distance 0.125
#16 · Akolacell 4670000820
distance 0.126 · cross-district
#17 · Amravaticell 4680000658
distance 0.127
#18 · Amravaticell 4680005274
distance 0.127
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":4680000539}}}'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.