Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680004432
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
0.135
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680004814
distance 0.135
#2 · Amravaticell 4680004907
distance 0.145
#3 · Amravaticell 4680004236
distance 0.194
#4 · Amravaticell 4680005610
distance 0.195
#5 · Amravaticell 4680004423
distance 0.2
#6 · Amravaticell 4680006145
distance 0.205
#7 · Amravaticell 4680004427
distance 0.223
#8 · Amravaticell 4680005872
distance 0.224
#9 · Chandrapurcell 4730005478
distance 0.235 · cross-district
#10 · Amravaticell 4680004896
distance 0.247
#11 · Amravaticell 4680006146
distance 0.248
#12 · Amravaticell 4680004819
distance 0.249
#13 · Amravaticell 4680004900
distance 0.251
#14 · Gadchirolicell 4750008444
distance 0.257 · cross-district
#15 · Amravaticell 4680006863
distance 0.257
#16 · Gadchirolicell 4750008388
distance 0.262 · cross-district
#17 · Gadchirolicell 4750008332
distance 0.263 · cross-district
#18 · Amravaticell 4680004525
distance 0.266
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":4680004432}}}'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.