Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800003120
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.272
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004316
distance 0.272
#2 · Kolhapurcell 4800003124
distance 0.316
#3 · Kolhapurcell 4800003159
distance 0.33
#4 · Palgharcell 6650003442
distance 0.333 · cross-district
#5 · Kolhapurcell 4800005185
distance 0.335
#6 · Kolhapurcell 4800002765
distance 0.337
#7 · Kolhapurcell 4800003074
distance 0.345
#8 · Kolhapurcell 4800003704
distance 0.348
#9 · Kolhapurcell 4800003703
distance 0.352
#10 · Kolhapurcell 4800002767
distance 0.355
#11 · Ratnagiricell 4920002721
distance 0.357 · cross-district
#12 · Kolhapurcell 4800003706
distance 0.363
#13 · Kolhapurcell 4800003248
distance 0.365
#14 · Kolhapurcell 4800003161
distance 0.365
#15 · Ratnagiricell 4920000809
distance 0.367 · cross-district
#16 · Thanecell 4970002668
distance 0.368 · cross-district
#17 · Kolhapurcell 4800003507
distance 0.369
#18 · Kolhapurcell 4800003077
distance 0.37
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":4800003120}}}'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.