Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680006713
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
0.125
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680007172
distance 0.125
#2 · Akolacell 4670004503
distance 0.169 · cross-district
#3 · Amravaticell 4680006567
distance 0.184
#4 · Amravaticell 4680006011
distance 0.19
#5 · Amravaticell 4680006294
distance 0.193
#6 · Amravaticell 4680007171
distance 0.199
#7 · Amravaticell 4680007176
distance 0.2
#8 · Amravaticell 4680007011
distance 0.204
#9 · Amravaticell 4680006424
distance 0.205
#10 · Akolacell 4670004346
distance 0.207 · cross-district
#11 · Amravaticell 4680006447
distance 0.209
#12 · Amravaticell 4680005208
distance 0.213
#13 · Nagpurcell 4840006691
distance 0.216 · cross-district
#14 · Akolacell 4670004576
distance 0.216 · cross-district
#15 · Akolacell 4670004509
distance 0.217 · cross-district
#16 · Amravaticell 4680006861
distance 0.217
#17 · Amravaticell 4680006435
distance 0.222
#18 · Amravaticell 4680006601
distance 0.222
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":4680006713}}}'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.