Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000723
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.241
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000960
distance 0.241
#2 · Thanecell 4970000578
distance 0.245
#3 · Thanecell 4970000797
distance 0.246
#4 · Thanecell 4970000873
distance 0.264
#5 · Thanecell 4970000798
distance 0.368
#6 · Mumbai Suburbancell 4830000187
distance 0.425 · cross-district
#7 · Mumbai Suburbancell 4830000212
distance 0.509 · cross-district
#8 · Bhandaracell 4710002021
distance 0.512 · cross-district
#9 · Thanecell 4970001139
distance 0.512
#10 · Thanecell 4970000874
distance 0.533
#11 · Thanecell 4970000800
distance 0.547
#12 · Thanecell 4970000865
distance 0.55
#13 · Thanecell 4970001140
distance 0.553
#14 · Thanecell 4970002445
distance 0.575
#15 · Nagpurcell 4840007426
distance 0.589 · cross-district
#16 · Punecell 4900013197
distance 0.595 · cross-district
#17 · Thanecell 4970001297
distance 0.601
#18 · Punecell 4900013295
distance 0.602 · 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":497,"cluster_id":4970000723}}}'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.