Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800000448
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
0.2
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800000661
distance 0.2
#2 · Kolhapurcell 4800000479
distance 0.208
#3 · Kolhapurcell 4800000804
distance 0.211
#4 · Kolhapurcell 4800000624
distance 0.254
#5 · Kolhapurcell 4800000545
distance 0.27
#6 · Sataracell 4940006037
distance 0.282 · cross-district
#7 · Kolhapurcell 4800000657
distance 0.287
#8 · Kolhapurcell 4800000619
distance 0.288
#9 · Ahmednagarcell 4660011461
distance 0.289 · cross-district
#10 · Kolhapurcell 4800000731
distance 0.293
#11 · Kolhapurcell 4800000588
distance 0.3
#12 · Kolhapurcell 4800000547
distance 0.302
#13 · Sataracell 4940000998
distance 0.303 · cross-district
#14 · Kolhapurcell 4800000655
distance 0.307
#15 · Sataracell 4940006686
distance 0.309 · cross-district
#16 · Kolhapurcell 4800000414
distance 0.31
#17 · Nashikcell 4870002703
distance 0.312 · cross-district
#18 · Kolhapurcell 4800000695
distance 0.315
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":4800000448}}}'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.