Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740003845
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.173
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740003600
distance 0.173
#2 · Dhulecell 4740004590
distance 0.181
#3 · Dhulecell 4740003498
distance 0.199
#4 · Dhulecell 4740003676
distance 0.21
#5 · Jalgaoncell 4780008366
distance 0.212 · cross-district
#6 · Dhulecell 4740003687
distance 0.22
#7 · Nashikcell 4870006618
distance 0.223 · cross-district
#8 · Dhulecell 4740004596
distance 0.23
#9 · Dhulecell 4740003599
distance 0.231
#10 · Dhulecell 4740003686
distance 0.237
#11 · Nashikcell 4870005156
distance 0.237 · cross-district
#12 · Ahmednagarcell 4660013010
distance 0.237 · cross-district
#13 · Jalgaoncell 4780004773
distance 0.238 · cross-district
#14 · Dhulecell 4740004221
distance 0.239
#15 · Nandurbarcell 4860001662
distance 0.241 · cross-district
#16 · Dhulecell 4740003414
distance 0.241
#17 · Nashikcell 4870005593
distance 0.243 · cross-district
#18 · Dhulecell 4740004305
distance 0.244
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":4740003845}}}'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.