Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004380
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.199
lower = more alike (weighted)
The twins, closest first
#1 · Ratnagiricell 4920000909
distance 0.199 · cross-district
#2 · Kolhapurcell 4800005326
distance 0.201
#3 · Kolhapurcell 4800005653
distance 0.258
#4 · Kolhapurcell 4800005329
distance 0.271
#5 · Kolhapurcell 4800005652
distance 0.272
#6 · Kolhapurcell 4800005571
distance 0.284
#7 · Kolhapurcell 4800005070
distance 0.294
#8 · Kolhapurcell 4800004467
distance 0.301
#9 · Kolhapurcell 4800005323
distance 0.301
#10 · Kolhapurcell 4800005408
distance 0.308
#11 · Kolhapurcell 4800006023
distance 0.311
#12 · Ratnagiricell 4920001001
distance 0.315 · cross-district
#13 · Kolhapurcell 4800005729
distance 0.315
#14 · Kolhapurcell 4800005328
distance 0.319
#15 · Kolhapurcell 4800005731
distance 0.32
#16 · Ratnagiricell 4920000652
distance 0.321 · cross-district
#17 · Kolhapurcell 4800005487
distance 0.322
#18 · Ratnagiricell 4920000390
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":4800004380}}}'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.