Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680002192
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
0.039
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680002401
distance 0.039
#2 · Amravaticell 4680001854
distance 0.049
#3 · Amravaticell 4680002291
distance 0.075
#4 · Amravaticell 4680002191
distance 0.082
#5 · Amravaticell 4680007217
distance 0.089
#6 · Amravaticell 4680002901
distance 0.092
#7 · Amravaticell 4680002606
distance 0.11
#8 · Amravaticell 4680001740
distance 0.112
#9 · Amravaticell 4680002706
distance 0.113
#10 · Amravaticell 4680002292
distance 0.115
#11 · Amravaticell 4680007218
distance 0.116
#12 · Amravaticell 4680001629
distance 0.117
#13 · Washimcell 4990003744
distance 0.119 · cross-district
#14 · Amravaticell 4680000006
distance 0.119
#15 · Washimcell 4990003742
distance 0.119 · cross-district
#16 · Washimcell 4990003743
distance 0.121 · cross-district
#17 · Washimcell 4990003503
distance 0.122 · cross-district
#18 · Washimcell 4990003044
distance 0.123 · 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":4680002192}}}'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.