Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970002554
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.135
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970002031
distance 0.135
#2 · Palgharcell 6650000158
distance 0.136 · cross-district
#3 · Palgharcell 6650000936
distance 0.142 · cross-district
#4 · Palgharcell 6650000987
distance 0.165 · cross-district
#5 · Thanecell 4970002411
distance 0.18
#6 · Thanecell 4970001955
distance 0.209
#7 · Thanecell 4970002556
distance 0.21
#8 · Thanecell 4970002266
distance 0.215
#9 · Thanecell 4970001956
distance 0.219
#10 · Thanecell 4970002115
distance 0.221
#11 · Palgharcell 6650000132
distance 0.225 · cross-district
#12 · Thanecell 4970002271
distance 0.228
#13 · Thanecell 4970002618
distance 0.229
#14 · Palgharcell 6650000154
distance 0.231 · cross-district
#15 · Thanecell 4970002553
distance 0.24
#16 · Palgharcell 6650000231
distance 0.241 · cross-district
#17 · Thanecell 4970002192
distance 0.242
#18 · Palgharcell 6650000173
distance 0.246 · 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":4970002554}}}'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.