Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000302
The MH-36 locality cells most similar to this Dhule 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.086
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000330
distance 0.086
#2 · Dhulecell 4740000208
distance 0.104
#3 · Nashikcell 4870012226
distance 0.117 · cross-district
#4 · Nashikcell 4870012441
distance 0.118 · cross-district
#5 · Dhulecell 4740000203
distance 0.119
#6 · Dhulecell 4740001697
distance 0.12
#7 · Dhulecell 4740001489
distance 0.128
#8 · Dhulecell 4740000126
distance 0.129
#9 · Dhulecell 4740002724
distance 0.129
#10 · Nashikcell 4870012346
distance 0.13 · cross-district
#11 · Dhulecell 4740001174
distance 0.131
#12 · Dhulecell 4740000115
distance 0.131
#13 · Nashikcell 4870012144
distance 0.131 · cross-district
#14 · Dhulecell 4740001255
distance 0.132
#15 · Nashikcell 4870012823
distance 0.137 · cross-district
#16 · Nashikcell 4870007112
distance 0.139 · cross-district
#17 · Nashikcell 4870011713
distance 0.139 · cross-district
#18 · Dhulecell 4740001589
distance 0.139
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":474,"cluster_id":4740000302}}}'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.