Bhārata Strata · Maharashtra · Satara · morphological twins
Places like cell 4940001461
The MH-36 locality cells most similar to this Satara 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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.246
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800006492
distance 0.246 · cross-district
#2 · Parbhanicell 4890004927
distance 0.274 · cross-district
#3 · Sataracell 4940002135
distance 0.286
#4 · Sataracell 4940001539
distance 0.296
#5 · Sataracell 4940002136
distance 0.319
#6 · Kolhapurcell 4800000956
distance 0.327 · cross-district
#7 · Sataracell 4940003257
distance 0.341
#8 · Sataracell 4940002810
distance 0.343
#9 · Sataracell 4940002356
distance 0.35
#10 · Nagpurcell 4840001246
distance 0.366 · cross-district
#11 · Sataracell 4940001625
distance 0.375
#12 · Sataracell 4940002586
distance 0.385
#13 · Sataracell 4940001823
distance 0.391
#14 · Hingolicell 4770003059
distance 0.415 · cross-district
#15 · Hingolicell 4770001785
distance 0.416 · cross-district
#16 · Sataracell 4940002244
distance 0.416
#17 · Sataracell 4940003144
distance 0.418
#18 · Sataracell 4940003603
distance 0.426
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":494,"cluster_id":4940001461}}}'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.