Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740004848
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
0.118
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740004445
distance 0.118
#2 · Dhulecell 4740004914
distance 0.132
#3 · Nandurbarcell 4860001791
distance 0.152 · cross-district
#4 · Dhulecell 4740004782
distance 0.156
#5 · Dhulecell 4740004787
distance 0.173
#6 · Jalgaoncell 4780006014
distance 0.177 · cross-district
#7 · Jalgaoncell 4780004814
distance 0.182 · cross-district
#8 · Dhulecell 4740005242
distance 0.184
#9 · Jalgaoncell 4780004933
distance 0.188 · cross-district
#10 · Dhulecell 4740004849
distance 0.188
#11 · Jalgaoncell 4780006938
distance 0.2 · cross-district
#12 · Jalgaoncell 4780008590
distance 0.2 · cross-district
#13 · Dhulecell 4740005392
distance 0.201
#14 · Jalgaoncell 4780006159
distance 0.203 · cross-district
#15 · Dhulecell 4740004589
distance 0.203
#16 · Dhulecell 4740004181
distance 0.204
#17 · Dhulecell 4740005682
distance 0.205
#18 · Dhulecell 4740004541
distance 0.205
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":4740004848}}}'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.