Bhārata Strata · Maharashtra · Amravati · morphological twins
Places like cell 4680008321
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
0.276
lower = more alike (weighted)
The twins, closest first
#1 · Amravaticell 4680007849
distance 0.276
#2 · Amravaticell 4680009374
distance 0.281
#3 · Amravaticell 4680008327
distance 0.281
#4 · Nagpurcell 4840006816
distance 0.282 · cross-district
#5 · Amravaticell 4680007979
distance 0.283
#6 · Nagpurcell 4840005563
distance 0.291 · cross-district
#7 · Nagpurcell 4840005767
distance 0.294 · cross-district
#8 · Bhandaracell 4710002228
distance 0.294 · cross-district
#9 · Amravaticell 4680009574
distance 0.294
#10 · Amravaticell 4680007978
distance 0.294
#11 · Amravaticell 4680007418
distance 0.298
#12 · Amravaticell 4680008725
distance 0.3
#13 · Amravaticell 4680008532
distance 0.3
#14 · Amravaticell 4680009478
distance 0.302
#15 · Amravaticell 4680009287
distance 0.307
#16 · Amravaticell 4680010279
distance 0.308
#17 · Nagpurcell 4840007045
distance 0.309 · cross-district
#18 · Amravaticell 4680009497
distance 0.31
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":4680008321}}}'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.