Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000652
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.136
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000743
distance 0.136
#2 · Dhulecell 4740000746
distance 0.156
#3 · Dhulecell 4740000574
distance 0.156
#4 · Nashikcell 4870013179
distance 0.165 · cross-district
#5 · Nashikcell 4870013107
distance 0.169 · cross-district
#6 · Nashikcell 4870011698
distance 0.17 · cross-district
#7 · Dhulecell 4740000127
distance 0.17
#8 · Dhulecell 4740000844
distance 0.174
#9 · Nashikcell 4870013181
distance 0.175 · cross-district
#10 · Dhulecell 4740002819
distance 0.181
#11 · Dhulecell 4740000079
distance 0.183
#12 · Dhulecell 4740002914
distance 0.186
#13 · Dhulecell 4740000104
distance 0.19
#14 · Nashikcell 4870011589
distance 0.191 · cross-district
#15 · Dhulecell 4740000181
distance 0.191
#16 · Nashikcell 4870013182
distance 0.193 · cross-district
#17 · Nashikcell 4870011934
distance 0.194 · cross-district
#18 · Dhulecell 4740000068
distance 0.194
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":4740000652}}}'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.