Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680008151
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.229
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680008152
distance 0.229
#2 · Amravaticell 4680006544
distance 0.353
#3 · Amravaticell 4680006539
distance 0.354
#4 · Nagpurcell 4840002598
distance 0.374 · cross-district
#5 · Amravaticell 4680008035
distance 0.375
#6 · Nagpurcell 4840004324
distance 0.381 · cross-district
#7 · Amravaticell 4680006840
distance 0.402
#8 · Amravaticell 4680006842
distance 0.405
#9 · Amravaticell 4680008154
distance 0.41
#10 · Gadchirolicell 4750010737
distance 0.416 · cross-district
#11 · Amravaticell 4680008159
distance 0.417
#12 · Bhandaracell 4710001902
distance 0.42 · cross-district
#13 · Amravaticell 4680008869
distance 0.426
#14 · Amravaticell 4680010280
distance 0.432
#15 · Amravaticell 4680008363
distance 0.433
#16 · Amravaticell 4680006854
distance 0.434
#17 · Amravaticell 4680007979
distance 0.434
#18 · Amravaticell 4680007978
distance 0.435
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":4680008151}}}'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.