Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004588
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
0.218
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005376
distance 0.218
#2 · Kolhapurcell 4800004424
distance 0.224
#3 · Kolhapurcell 4800004016
distance 0.226
#4 · Beedcell 4700005600
distance 0.248 · cross-district
#5 · Kolhapurcell 4800004161
distance 0.252
#6 · Kolhapurcell 4800003944
distance 0.26
#7 · Kolhapurcell 4800004765
distance 0.261
#8 · Kolhapurcell 4800004933
distance 0.271
#9 · Kolhapurcell 4800004497
distance 0.275
#10 · Sanglicell 4930000543
distance 0.279 · cross-district
#11 · Kolhapurcell 4800004242
distance 0.284
#12 · Laturcell 4810003582
distance 0.284 · cross-district
#13 · Kolhapurcell 4800005843
distance 0.286
#14 · Kolhapurcell 4800004103
distance 0.289
#15 · Chandrapurcell 4730003695
distance 0.292 · cross-district
#16 · Kolhapurcell 4800004935
distance 0.294
#17 · Beedcell 4700002378
distance 0.295 · cross-district
#18 · Kolhapurcell 4800001855
distance 0.295
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":4800004588}}}'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.