Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000053
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
44
morphology-v2 feature dimensions
Closest twin distance
0.178
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740003095
distance 0.178
#2 · Dhulecell 4740000616
distance 0.183
#3 · Dhulecell 4740002429
distance 0.189
#4 · Jalgaoncell 4780001859
distance 0.209 · cross-district
#5 · Jalgaoncell 4780005407
distance 0.211 · cross-district
#6 · Dhulecell 4740000262
distance 0.217
#7 · Dhulecell 4740000075
distance 0.218
#8 · Dhulecell 4740000560
distance 0.22
#9 · Dhulecell 4740001707
distance 0.222
#10 · Nashikcell 4870012733
distance 0.223 · cross-district
#11 · Dhulecell 4740000562
distance 0.228
#12 · Dhulecell 4740000293
distance 0.233
#13 · Dhulecell 4740000195
distance 0.239
#14 · Jalgaoncell 4780001756
distance 0.239 · cross-district
#15 · Nashikcell 4870008537
distance 0.241 · cross-district
#16 · Dhulecell 4740002434
distance 0.241
#17 · Jalgaoncell 4780001341
distance 0.244 · cross-district
#18 · Nandurbarcell 4860000894
distance 0.244 · 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":4740000053}}}'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.