Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000602
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.115
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740002916
distance 0.115
#2 · Nashikcell 4870012152
distance 0.165 · cross-district
#3 · Dhulecell 4740000225
distance 0.203
#4 · Dhulecell 4740002635
distance 0.212
#5 · Nashikcell 4870006480
distance 0.216 · cross-district
#6 · Dhulecell 4740000274
distance 0.221
#7 · Dhulecell 4740003167
distance 0.235
#8 · Dhulecell 4740003096
distance 0.236
#9 · Dhulecell 4740002516
distance 0.238
#10 · Nashikcell 4870008249
distance 0.24 · cross-district
#11 · Dhulecell 4740000384
distance 0.243
#12 · Beedcell 4700000995
distance 0.244 · cross-district
#13 · Nashikcell 4870011820
distance 0.244 · cross-district
#14 · Ahmednagarcell 4660006361
distance 0.245 · cross-district
#15 · Nashikcell 4870012027
distance 0.249 · cross-district
#16 · Dhulecell 4740000237
distance 0.253
#17 · Dhulecell 4740001674
distance 0.259
#18 · Dhulecell 4740002734
distance 0.259
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":4740000602}}}'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.