Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910003321
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 2 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.14
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910003239
distance 0.14
#2 · Raigadcell 4910003240
distance 0.159
#3 · Raigadcell 4910002629
distance 0.222
#4 · Raigadcell 4910003071
distance 0.26
#5 · Raigadcell 4910001240
distance 0.26
#6 · Raigadcell 4910001432
distance 0.269
#7 · Raigadcell 4910002519
distance 0.276
#8 · Raigadcell 4910001612
distance 0.29
#9 · Raigadcell 4910001308
distance 0.291
#10 · Ratnagiricell 4920003594
distance 0.293 · cross-district
#11 · Raigadcell 4910001110
distance 0.296
#12 · Ratnagiricell 4920007081
distance 0.3 · cross-district
#13 · Ratnagiricell 4920004183
distance 0.311 · cross-district
#14 · Ratnagiricell 4920005494
distance 0.311 · cross-district
#15 · Ratnagiricell 4920003033
distance 0.315 · cross-district
#16 · Raigadcell 4910001897
distance 0.316
#17 · Raigadcell 4910001832
distance 0.318
#18 · Ratnagiricell 4920002804
distance 0.318 · 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":4910003321}}}'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.