Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680010291
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
0.143
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680010290
distance 0.143
#2 · Amravaticell 4680010396
distance 0.155
#3 · Amravaticell 4680010235
distance 0.222
#4 · Amravaticell 4680010179
distance 0.256
#5 · Nagpurcell 4840001278
distance 0.262 · cross-district
#6 · Nagpurcell 4840007436
distance 0.263 · cross-district
#7 · Akolacell 4670000297
distance 0.269 · cross-district
#8 · Nagpurcell 4840006899
distance 0.271 · cross-district
#9 · Amravaticell 4680010343
distance 0.278
#10 · Amravaticell 4680010268
distance 0.278
#11 · Gondiacell 4760000662
distance 0.279 · cross-district
#12 · Amravaticell 4680010397
distance 0.283
#13 · Amravaticell 4680007264
distance 0.291
#14 · Amravaticell 4680010395
distance 0.293
#15 · Amravaticell 4680010519
distance 0.293
#16 · Amravaticell 4680008039
distance 0.298
#17 · Amravaticell 4680009897
distance 0.299
#18 · Amravaticell 4680009636
distance 0.305
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":4680010291}}}'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.