Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680004126
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 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.167
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680003223
distance 0.167
#2 · Amravaticell 4680004058
distance 0.18
#3 · Amravaticell 4680004033
distance 0.223
#4 · Amravaticell 4680005034
distance 0.251
#5 · Akolacell 4670002134
distance 0.273 · cross-district
#6 · Parbhanicell 4890003837
distance 0.29 · cross-district
#7 · Amravaticell 4680000195
distance 0.291
#8 · Amravaticell 4680001234
distance 0.298
#9 · Amravaticell 4680001288
distance 0.302
#10 · Amravaticell 4680002234
distance 0.303
#11 · Amravaticell 4680001091
distance 0.304
#12 · Amravaticell 4680004060
distance 0.304
#13 · Akolacell 4670003351
distance 0.307 · cross-district
#14 · Amravaticell 4680006029
distance 0.308
#15 · Amravaticell 4680005035
distance 0.312
#16 · Buldhanacell 4720007886
distance 0.313 · cross-district
#17 · Akolacell 4670004165
distance 0.314 · cross-district
#18 · Amravaticell 4680004925
distance 0.317
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":4680004126}}}'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.