Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740005050
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
0.142
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740004915
distance 0.142
#2 · Dhulecell 4740005176
distance 0.177
#3 · Dhulecell 4740004796
distance 0.193
#4 · Dhulecell 4740005179
distance 0.21
#5 · Nashikcell 4870011458
distance 0.219 · cross-district
#6 · Dhulecell 4740004610
distance 0.221
#7 · Dhulecell 4740005371
distance 0.224
#8 · Nashikcell 4870011338
distance 0.225 · cross-district
#9 · Dhulecell 4740004903
distance 0.233
#10 · Nandurbarcell 4860001849
distance 0.233 · cross-district
#11 · Dhulecell 4740004429
distance 0.235
#12 · Chandrapurcell 4730000579
distance 0.235 · cross-district
#13 · Jalgaoncell 4780004467
distance 0.235 · cross-district
#14 · Dhulecell 4740005793
distance 0.239
#15 · Jalgaoncell 4780006915
distance 0.241 · cross-district
#16 · Jalgaoncell 4780002526
distance 0.241 · cross-district
#17 · Dhulecell 4740003687
distance 0.242
#18 · Dhulecell 4740004920
distance 0.242
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":4740005050}}}'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.