Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680004175
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
0.179
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680004171
distance 0.179
#2 · Amravaticell 4680002578
distance 0.187
#3 · Akolacell 4670002089
distance 0.2 · cross-district
#4 · Amravaticell 4680002575
distance 0.203
#5 · Amravaticell 4680004060
distance 0.204
#6 · Amravaticell 4680004271
distance 0.209
#7 · Amravaticell 4680002984
distance 0.218
#8 · Amravaticell 4680004593
distance 0.22
#9 · Amravaticell 4680003475
distance 0.226
#10 · Amravaticell 4680001288
distance 0.228
#11 · Amravaticell 4680003568
distance 0.231
#12 · Akolacell 4670001589
distance 0.233 · cross-district
#13 · Amravaticell 4680001270
distance 0.235
#14 · Akolacell 4670002331
distance 0.237 · cross-district
#15 · Akolacell 4670002233
distance 0.239 · cross-district
#16 · Amravaticell 4680002056
distance 0.242
#17 · Amravaticell 4680005516
distance 0.243
#18 · Chandrapurcell 4730003413
distance 0.244 · cross-district
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":4680004175}}}'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.