Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004503
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.213
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005376
distance 0.213
#2 · Kolhapurcell 4800004934
distance 0.227
#3 · Kolhapurcell 4800005106
distance 0.232
#4 · Kolhapurcell 4800004935
distance 0.232
#5 · Beedcell 4700003288
distance 0.28 · cross-district
#6 · Kolhapurcell 4800004424
distance 0.289
#7 · Kolhapurcell 4800004849
distance 0.291
#8 · Kolhapurcell 4800005844
distance 0.299
#9 · Sanglicell 4930001571
distance 0.3 · cross-district
#10 · Kolhapurcell 4800003944
distance 0.307
#11 · Kolhapurcell 4800004601
distance 0.311
#12 · Kolhapurcell 4800004681
distance 0.317
#13 · Kolhapurcell 4800004765
distance 0.318
#14 · Laturcell 4810003674
distance 0.325 · cross-district
#15 · Sanglicell 4930002368
distance 0.326 · cross-district
#16 · Kolhapurcell 4800005112
distance 0.329
#17 · Kolhapurcell 4800005541
distance 0.331
#18 · Dharashivcell 4880000558
distance 0.331 · cross-district
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":4800004503}}}'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.