Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680002191
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.082
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680002192
distance 0.082
#2 · Amravaticell 4680002401
distance 0.087
#3 · Amravaticell 4680001854
distance 0.089
#4 · Amravaticell 4680002291
distance 0.117
#5 · Amravaticell 4680002901
distance 0.123
#6 · Amravaticell 4680007217
distance 0.125
#7 · Amravaticell 4680000006
distance 0.13
#8 · Amravaticell 4680001629
distance 0.134
#9 · Amravaticell 4680002292
distance 0.136
#10 · Amravaticell 4680001966
distance 0.137
#11 · Washimcell 4990003383
distance 0.138 · cross-district
#12 · Amravaticell 4680002806
distance 0.139
#13 · Washimcell 4990003742
distance 0.14 · cross-district
#14 · Washimcell 4990003744
distance 0.143 · cross-district
#15 · Amravaticell 4680002606
distance 0.144
#16 · Washimcell 4990003120
distance 0.144 · cross-district
#17 · Washimcell 4990003743
distance 0.144 · cross-district
#18 · Amravaticell 4680007218
distance 0.146
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":4680002191}}}'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.