Bhārata Strata · Maharashtra · Bhandara · morphological twins
Places like cell 4710001422
The MH-36 locality cells most similar to this Bhandara 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.08
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710001519
distance 0.08
#2 · Bhandaracell 4710001593
distance 0.138
#3 · Bhandaracell 4710001471
distance 0.147
#4 · Gondiacell 4760001234
distance 0.159 · cross-district
#5 · Bhandaracell 4710001775
distance 0.162
#6 · Bhandaracell 4710001326
distance 0.167
#7 · Bhandaracell 4710001522
distance 0.176
#8 · Bhandaracell 4710002140
distance 0.184
#9 · Bhandaracell 4710001643
distance 0.185
#10 · Gondiacell 4760001233
distance 0.2 · cross-district
#11 · Bhandaracell 4710001235
distance 0.201
#12 · Chandrapurcell 4730008830
distance 0.204 · cross-district
#13 · Bhandaracell 4710001360
distance 0.207
#14 · Bhandaracell 4710001063
distance 0.208
#15 · Gondiacell 4760002878
distance 0.209 · cross-district
#16 · Bhandaracell 4710002090
distance 0.21
#17 · Bhandaracell 4710000215
distance 0.21
#18 · Gondiacell 4760002708
distance 0.213 · 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":471,"cluster_id":4710001422}}}'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.