Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680004459
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
44
morphology-v2 feature dimensions
Closest twin distance
0.132
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680004460
distance 0.132
#2 · Amravaticell 4680003277
distance 0.157
#3 · Amravaticell 4680004736
distance 0.175
#4 · Amravaticell 4680003669
distance 0.175
#5 · Akolacell 4670003974
distance 0.183 · cross-district
#6 · Amravaticell 4680004704
distance 0.187
#7 · Amravaticell 4680005144
distance 0.19
#8 · Amravaticell 4680003574
distance 0.191
#9 · Akolacell 4670004244
distance 0.193 · cross-district
#10 · Akolacell 4670004307
distance 0.196 · cross-district
#11 · Amravaticell 4680003140
distance 0.197
#12 · Amravaticell 4680005041
distance 0.199
#13 · Amravaticell 4680001152
distance 0.199
#14 · Ahmednagarcell 4660000879
distance 0.2 · cross-district
#15 · Amravaticell 4680004534
distance 0.201
#16 · Amravaticell 4680004888
distance 0.201
#17 · Hingolicell 4770003572
distance 0.202 · cross-district
#18 · Amravaticell 4680005913
distance 0.202
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":4680004459}}}'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.