Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001909
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
0.182
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740002734
distance 0.182
#2 · Nashikcell 4870012230
distance 0.183 · cross-district
#3 · Dhulecell 4740000173
distance 0.19
#4 · Dhulecell 4740000011
distance 0.2
#5 · Dhulecell 4740000237
distance 0.201
#6 · Dhulecell 4740001911
distance 0.203
#7 · Dhulecell 4740001695
distance 0.203
#8 · Jalgaoncell 4780003864
distance 0.206 · cross-district
#9 · Dhulecell 4740000384
distance 0.209
#10 · Jalgaoncell 4780002889
distance 0.21 · cross-district
#11 · Jalgaoncell 4780000270
distance 0.211 · cross-district
#12 · Jalgaoncell 4780001441
distance 0.212 · cross-district
#13 · Dhulecell 4740000380
distance 0.213
#14 · Nashikcell 4870012152
distance 0.215 · cross-district
#15 · Dhulecell 4740002203
distance 0.216
#16 · Jalgaoncell 4780000251
distance 0.216 · cross-district
#17 · Dhulecell 4740000347
distance 0.217
#18 · Dhulecell 4740002639
distance 0.217
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":4740001909}}}'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.