Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800000007
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 2 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.368
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800000217
distance 0.368
#2 · Kolhapurcell 4800000222
distance 0.385
#3 · Kolhapurcell 4800000254
distance 0.404
#4 · Kolhapurcell 4800000172
distance 0.421
#5 · Raigadcell 4910002711
distance 0.43 · cross-district
#6 · Kolhapurcell 4800000115
distance 0.446
#7 · Kolhapurcell 4800000049
distance 0.457
#8 · Kolhapurcell 4800000224
distance 0.478
#9 · Kolhapurcell 4800003190
distance 0.478
#10 · Kolhapurcell 4800000170
distance 0.487
#11 · Kolhapurcell 4800000190
distance 0.489
#12 · Raigadcell 4910001905
distance 0.489 · cross-district
#13 · Kolhapurcell 4800000204
distance 0.493
#14 · Raigadcell 4910001906
distance 0.503 · cross-district
#15 · Kolhapurcell 4800000226
distance 0.506
#16 · Raigadcell 4910002189
distance 0.51 · cross-district
#17 · Raigadcell 4910001096
distance 0.521 · cross-district
#18 · Kolhapurcell 4800000140
distance 0.522
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":4800000007}}}'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.