Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740005052
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.192
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870008395
distance 0.192 · cross-district
#2 · Dhulecell 4740003497
distance 0.194
#3 · Dhulecell 4740004282
distance 0.204
#4 · Dhulecell 4740004118
distance 0.216
#5 · Dhulecell 4740004117
distance 0.218
#6 · Nashikcell 4870008110
distance 0.221 · cross-district
#7 · Dhulecell 4740005117
distance 0.228
#8 · Nashikcell 4870007328
distance 0.232 · cross-district
#9 · Dhulecell 4740000599
distance 0.237
#10 · Nashikcell 4870008407
distance 0.24 · cross-district
#11 · Dhulecell 4740004200
distance 0.242
#12 · Dhulecell 4740003689
distance 0.248
#13 · Dhulecell 4740004922
distance 0.249
#14 · Nashikcell 4870006065
distance 0.249 · cross-district
#15 · Ahmednagarcell 4660006360
distance 0.25 · cross-district
#16 · Dhulecell 4740004281
distance 0.253
#17 · Dhulecell 4740004285
distance 0.256
#18 · Nashikcell 4870005745
distance 0.257 · 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":474,"cluster_id":4740005052}}}'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.