Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680003531
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
0.94
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 4680004155
distance 0.135
#2 · Amravaticell 4680002428
distance 0.137
#3 · Amravaticell 4680004748
distance 0.141
#4 · Amravaticell 4680003630
distance 0.145
#5 · Amravaticell 4680004207
distance 0.155
#6 · Buldhanacell 4720005439
distance 0.16 · cross-district
#7 · Amravaticell 4680004158
distance 0.163
#8 · Amravaticell 4680003518
distance 0.168
#9 · Buldhanacell 4720006258
distance 0.169 · cross-district
#10 · Amravaticell 4680004010
distance 0.172
#11 · Amravaticell 4680002577
distance 0.172
#12 · Buldhanacell 4720006371
distance 0.174 · cross-district
#13 · Amravaticell 4680002455
distance 0.175
#14 · Amravaticell 4680002052
distance 0.177
#15 · Amravaticell 4680002032
distance 0.177
#16 · Amravaticell 4680001151
distance 0.178
#17 · Akolacell 4670003014
distance 0.179 · cross-district
#18 · Amravaticell 4680004556
distance 0.181
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":4680003531}}}'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.