Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800005357
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.373
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005358
distance 0.373
#2 · Kolhapurcell 4800005439
distance 0.379
#3 · Kolhapurcell 4800004080
distance 0.394
#4 · Kolhapurcell 4800003926
distance 0.424
#5 · Kolhapurcell 4800006078
distance 0.424
#6 · Kolhapurcell 4800004226
distance 0.435
#7 · Kolhapurcell 4800004574
distance 0.436
#8 · Kolhapurcell 4800005091
distance 0.444
#9 · Nashikcell 4870001247
distance 0.449 · cross-district
#10 · Kolhapurcell 4800004003
distance 0.453
#11 · Nashikcell 4870010116
distance 0.46 · cross-district
#12 · Nashikcell 4870001060
distance 0.461 · cross-district
#13 · Nashikcell 4870000794
distance 0.464 · cross-district
#14 · Kolhapurcell 4800004316
distance 0.465
#15 · Kolhapurcell 4800002767
distance 0.466
#16 · Sanglicell 4930002815
distance 0.467 · cross-district
#17 · Kolhapurcell 4800003351
distance 0.474
#18 · Kolhapurcell 4800003577
distance 0.475
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":4800005357}}}'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.