Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910001921
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
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.438
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910001866
distance 0.438
#2 · Raigadcell 4910002015
distance 0.462
#3 · Raigadcell 4910002016
distance 0.468
#4 · Raigadcell 4910001812
distance 0.486
#5 · Punecell 4900006427
distance 0.503 · cross-district
#6 · Raigadcell 4910002210
distance 0.514
#7 · Raigadcell 4910001868
distance 0.518
#8 · Thanecell 4970000327
distance 0.521 · cross-district
#9 · Raigadcell 4910001970
distance 0.533
#10 · Punecell 4900002217
distance 0.538 · cross-district
#11 · Raigadcell 4910001460
distance 0.543
#12 · Raigadcell 4910002115
distance 0.543
#13 · Raigadcell 4910001865
distance 0.545
#14 · Punecell 4900002518
distance 0.549 · cross-district
#15 · Punecell 4900002216
distance 0.552 · cross-district
#16 · Thanecell 4970000272
distance 0.553 · cross-district
#17 · Punecell 4900002830
distance 0.556 · cross-district
#18 · Raigadcell 4910001918
distance 0.558
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":4910001921}}}'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.