Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680004342
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
44
morphology-v2 feature dimensions
Closest twin distance
0.121
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680004445
distance 0.121
#2 · Amravaticell 4680003960
distance 0.122
#3 · Amravaticell 4680005780
distance 0.123
#4 · Amravaticell 4680006182
distance 0.126
#5 · Akolacell 4670004072
distance 0.129 · cross-district
#6 · Amravaticell 4680005905
distance 0.131
#7 · Akolacell 4670004186
distance 0.136 · cross-district
#8 · Amravaticell 4680004730
distance 0.138
#9 · Amravaticell 4680001905
distance 0.143
#10 · Akolacell 4670003939
distance 0.143 · cross-district
#11 · Akolacell 4670004348
distance 0.145 · cross-district
#12 · Amravaticell 4680002832
distance 0.146
#13 · Amravaticell 4680006609
distance 0.147
#14 · Buldhanacell 4720006678
distance 0.149 · cross-district
#15 · Amravaticell 4680005910
distance 0.15
#16 · Amravaticell 4680004204
distance 0.152
#17 · Amravaticell 4680005149
distance 0.153
#18 · Amravaticell 4680004069
distance 0.154
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":4680004342}}}'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.