Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000332
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 2 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.288
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970001310
distance 0.288
#2 · Thanecell 4970001391
distance 0.336
#3 · Thanecell 4970000642
distance 0.339
#4 · Thanecell 4970001390
distance 0.351
#5 · Thanecell 4970000450
distance 0.373
#6 · Thanecell 4970001309
distance 0.376
#7 · Mumbai Suburbancell 4830000146
distance 0.381 · cross-district
#8 · Thanecell 4970000218
distance 0.422
#9 · Mumbai Suburbancell 4830000290
distance 0.429 · cross-district
#10 · Mumbai Suburbancell 4830000170
distance 0.444 · cross-district
#11 · Mumbai Suburbancell 4830000188
distance 0.485 · cross-district
#12 · Thanecell 4970000389
distance 0.501
#13 · Thanecell 4970000640
distance 0.514
#14 · Thanecell 4970000572
distance 0.572
#15 · Thanecell 4970000867
distance 0.574
#16 · Mumbai Suburbancell 4830000229
distance 0.58 · cross-district
#17 · Thanecell 4970000329
distance 0.58
#18 · Thanecell 4970000585
distance 0.581
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":4970000332}}}'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.