Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970001050
The MH-36 locality cells most similar to this Thane 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
45
morphology-v2 feature dimensions
Closest twin distance
0.39
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970001051
distance 0.39
#2 · Raigadcell 4910004998
distance 0.439 · cross-district
#3 · Thanecell 4970000243
distance 0.47
#4 · Raigadcell 4910005231
distance 0.503 · cross-district
#5 · Raigadcell 4910005546
distance 0.534 · cross-district
#6 · Thanecell 4970000468
distance 0.535
#7 · Raigadcell 4910005325
distance 0.557 · cross-district
#8 · Thanecell 4970000467
distance 0.565
#9 · Thanecell 4970001325
distance 0.572
#10 · Raigadcell 4910005326
distance 0.574 · cross-district
#11 · Thanecell 4970001055
distance 0.581
#12 · Thanecell 4970001887
distance 0.584
#13 · Thanecell 4970000961
distance 0.601
#14 · Punecell 4900007679
distance 0.628 · cross-district
#15 · Thanecell 4970000659
distance 0.641
#16 · Punecell 4900007322
distance 0.651 · cross-district
#17 · Punecell 4900007560
distance 0.651 · cross-district
#18 · Thanecell 4970000716
distance 0.652
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":497,"cluster_id":4970001050}}}'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.