Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000260
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
44
morphology-v2 feature dimensions
Closest twin distance
0.103
lower = more alike (weighted)
The twins, closest first
#1 · Jalgaoncell 4780001655
distance 0.103 · cross-district
#2 · Dhulecell 4740000191
distance 0.122
#3 · Dhulecell 4740000787
distance 0.131
#4 · Dhulecell 4740000782
distance 0.134
#5 · Dhulecell 4740002337
distance 0.135
#6 · Jalgaoncell 4780005411
distance 0.135 · cross-district
#7 · Dhulecell 4740000389
distance 0.14
#8 · Jalgaoncell 4780002688
distance 0.141 · cross-district
#9 · Dhulecell 4740001917
distance 0.142
#10 · Dhulecell 4740002231
distance 0.142
#11 · Jalgaoncell 4780002176
distance 0.143 · cross-district
#12 · Jalgaoncell 4780003640
distance 0.144 · cross-district
#13 · Dhulecell 4740000393
distance 0.145
#14 · Jalgaoncell 4780001346
distance 0.146 · cross-district
#15 · Dhulecell 4740002010
distance 0.147
#16 · Dhulecell 4740000041
distance 0.148
#17 · Jalgaoncell 4780003321
distance 0.151 · cross-district
#18 · Dhulecell 4740000105
distance 0.151
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":4740000260}}}'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.