Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680005849
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.135
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680006531
distance 0.135
#2 · Amravaticell 4680005947
distance 0.138
#3 · Amravaticell 4680005981
distance 0.14
#4 · Amravaticell 4680006118
distance 0.141
#5 · Amravaticell 4680006672
distance 0.142
#6 · Amravaticell 4680006260
distance 0.143
#7 · Buldhanacell 4720008396
distance 0.144 · cross-district
#8 · Buldhanacell 4720008350
distance 0.145 · cross-district
#9 · Buldhanacell 4720008293
distance 0.146 · cross-district
#10 · Amravaticell 4680006967
distance 0.146
#11 · Amravaticell 4680006257
distance 0.148
#12 · Amravaticell 4680006530
distance 0.149
#13 · Amravaticell 4680005982
distance 0.151
#14 · Amravaticell 4680005976
distance 0.151
#15 · Buldhanacell 4720008381
distance 0.152 · cross-district
#16 · Amravaticell 4680007651
distance 0.153
#17 · Amravaticell 4680006261
distance 0.153
#18 · Amravaticell 4680006084
distance 0.156
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":4680005849}}}'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.