Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680005213
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
0.023
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680005211
distance 0.023
#2 · Amravaticell 4680005097
distance 0.038
#3 · Amravaticell 4680005335
distance 0.071
#4 · Amravaticell 4680005210
distance 0.087
#5 · Amravaticell 4680005206
distance 0.09
#6 · Akolacell 4670004543
distance 0.091 · cross-district
#7 · Akolacell 4670004595
distance 0.097 · cross-district
#8 · Amravaticell 4680005090
distance 0.102
#9 · Amravaticell 4680004873
distance 0.104
#10 · Akolacell 4670004512
distance 0.107 · cross-district
#11 · Akolacell 4670004549
distance 0.108 · cross-district
#12 · Akolacell 4670004588
distance 0.108 · cross-district
#13 · Amravaticell 4680004780
distance 0.108
#14 · Amravaticell 4680004872
distance 0.112
#15 · Amravaticell 4680004880
distance 0.113
#16 · Amravaticell 4680005212
distance 0.114
#17 · Amravaticell 4680005332
distance 0.114
#18 · Amravaticell 4680004871
distance 0.115
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":4680005213}}}'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.