Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910001474
The MH-36 locality cells most similar to this Raigad 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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.188
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910002329
distance 0.188
#2 · Raigadcell 4910002328
distance 0.205
#3 · Raigadcell 4910002331
distance 0.209
#4 · Ratnagiricell 4920004467
distance 0.226 · cross-district
#5 · Raigadcell 4910001979
distance 0.228
#6 · Raigadcell 4910002276
distance 0.246
#7 · Raigadcell 4910002280
distance 0.25
#8 · Nashikcell 4870004908
distance 0.255 · cross-district
#9 · Raigadcell 4910002271
distance 0.261
#10 · Raigadcell 4910003284
distance 0.263
#11 · Raigadcell 4910001171
distance 0.264
#12 · Ratnagiricell 4920004095
distance 0.266 · cross-district
#13 · Ratnagiricell 4920004144
distance 0.268 · cross-district
#14 · Raigadcell 4910001934
distance 0.273
#15 · Raigadcell 4910000551
distance 0.275
#16 · Raigadcell 4910003364
distance 0.275
#17 · Nashikcell 4870005349
distance 0.276 · cross-district
#18 · Ratnagiricell 4920006988
distance 0.277 · 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":491,"cluster_id":4910001474}}}'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.