Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680010268
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.184
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680010324
distance 0.184
#2 · Amravaticell 4680010470
distance 0.184
#3 · Amravaticell 4680007488
distance 0.218
#4 · Amravaticell 4680009151
distance 0.254
#5 · Ahmednagarcell 4660011302
distance 0.263 · cross-district
#6 · Amravaticell 4680010290
distance 0.267
#7 · Amravaticell 4680009636
distance 0.272
#8 · Amravaticell 4680010291
distance 0.278
#9 · Amravaticell 4680006493
distance 0.282
#10 · Amravaticell 4680010031
distance 0.284
#11 · Amravaticell 4680009885
distance 0.285
#12 · Amravaticell 4680009241
distance 0.29
#13 · Amravaticell 4680010396
distance 0.292
#14 · Nashikcell 4870009598
distance 0.296 · cross-district
#15 · Amravaticell 4680006945
distance 0.296
#16 · Amravaticell 4680008157
distance 0.303
#17 · Nashikcell 4870011177
distance 0.304 · cross-district
#18 · Ahmednagarcell 4660012882
distance 0.305 · 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":4680010268}}}'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.