Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800000329
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
43
morphology-v2 feature dimensions
Closest twin distance
0.304
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800000361
distance 0.304
#2 · Sindhudurgcell 4950001443
distance 0.31 · cross-district
#3 · Kolhapurcell 4800000486
distance 0.311
#4 · Kolhapurcell 4800001022
distance 0.317
#5 · Kolhapurcell 4800001174
distance 0.32
#6 · Kolhapurcell 4800001020
distance 0.321
#7 · Kolhapurcell 4800000903
distance 0.325
#8 · Kolhapurcell 4800000746
distance 0.328
#9 · Kolhapurcell 4800000421
distance 0.331
#10 · Kolhapurcell 4800000297
distance 0.332
#11 · Kolhapurcell 4800000489
distance 0.333
#12 · Sindhudurgcell 4950001277
distance 0.337 · cross-district
#13 · Sindhudurgcell 4950000995
distance 0.337 · cross-district
#14 · Kolhapurcell 4800000637
distance 0.337
#15 · Kolhapurcell 4800001173
distance 0.338
#16 · Kolhapurcell 4800000559
distance 0.338
#17 · Sindhudurgcell 4950001626
distance 0.338 · cross-district
#18 · Kolhapurcell 4800000328
distance 0.339
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":4800000329}}}'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.