Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800003264
The MH-36 locality cells most similar to this Kolhapur 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
43
morphology-v2 feature dimensions
Closest twin distance
0.203
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800003414
distance 0.203
#2 · Kolhapurcell 4800003781
distance 0.211
#3 · Kolhapurcell 4800003459
distance 0.222
#4 · Kolhapurcell 4800003465
distance 0.228
#5 · Sataracell 4940003745
distance 0.232 · cross-district
#6 · Sataracell 4940002387
distance 0.249 · cross-district
#7 · Kolhapurcell 4800003526
distance 0.25
#8 · Kolhapurcell 4800003169
distance 0.254
#9 · Kolhapurcell 4800003657
distance 0.272
#10 · Kolhapurcell 4800003042
distance 0.276
#11 · Sanglicell 4930001807
distance 0.281 · cross-district
#12 · Kolhapurcell 4800003795
distance 0.282
#13 · Sataracell 4940003402
distance 0.286 · cross-district
#14 · Kolhapurcell 4800003792
distance 0.29
#15 · Kolhapurcell 4800003478
distance 0.295
#16 · Kolhapurcell 4800003713
distance 0.296
#17 · Punecell 4900004448
distance 0.298 · cross-district
#18 · Kolhapurcell 4800003417
distance 0.299
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":480,"cluster_id":4800003264}}}'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.