Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800000291
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.235
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800000292
distance 0.235
#2 · Kolhapurcell 4800000281
distance 0.304
#3 · Kolhapurcell 4800000277
distance 0.32
#4 · Sataracell 4940006890
distance 0.328 · cross-district
#5 · Kolhapurcell 4800000276
distance 0.34
#6 · Kolhapurcell 4800000294
distance 0.342
#7 · Kolhapurcell 4800000473
distance 0.342
#8 · Kolhapurcell 4800000275
distance 0.344
#9 · Punecell 4900000877
distance 0.347 · cross-district
#10 · Kolhapurcell 4800000288
distance 0.348
#11 · Sataracell 4940006781
distance 0.348 · cross-district
#12 · Sataracell 4940005815
distance 0.354 · cross-district
#13 · Kolhapurcell 4800000280
distance 0.354
#14 · Kolhapurcell 4800000714
distance 0.355
#15 · Kolhapurcell 4800000317
distance 0.355
#16 · Kolhapurcell 4800000688
distance 0.355
#17 · Sataracell 4940005720
distance 0.356 · cross-district
#18 · Kolhapurcell 4800000721
distance 0.357
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":4800000291}}}'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.