Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001196
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
0.119
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000990
distance 0.119
#2 · Dhulecell 4740001195
distance 0.126
#3 · Jalgaoncell 4780004197
distance 0.14 · cross-district
#4 · Jalgaoncell 4780004096
distance 0.154 · cross-district
#5 · Dhulecell 4740000557
distance 0.156
#6 · Jalgaoncell 4780001546
distance 0.157 · cross-district
#7 · Dhulecell 4740000329
distance 0.162
#8 · Dhulecell 4740000785
distance 0.165
#9 · Dhulecell 4740000100
distance 0.167
#10 · Nashikcell 4870011451
distance 0.169 · cross-district
#11 · Dhulecell 4740000617
distance 0.169
#12 · Dhulecell 4740000689
distance 0.17
#13 · Dhulecell 4740000290
distance 0.18
#14 · Jalgaoncell 4780001440
distance 0.18 · cross-district
#15 · Jalgaoncell 4780007288
distance 0.183 · cross-district
#16 · Dhulecell 4740000294
distance 0.186
#17 · Dhulecell 4740000249
distance 0.186
#18 · Nashikcell 4870011685
distance 0.187 · 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":4740001196}}}'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.