Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000285
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
0.055
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000392
distance 0.055
#2 · Dhulecell 4740000256
distance 0.056
#3 · Dhulecell 4740000287
distance 0.061
#4 · Dhulecell 4740000322
distance 0.064
#5 · Dhulecell 4740000016
distance 0.071
#6 · Dhulecell 4740000163
distance 0.073
#7 · Dhulecell 4740000162
distance 0.077
#8 · Dhulecell 4740000286
distance 0.081
#9 · Jalgaoncell 4780002277
distance 0.09 · cross-district
#10 · Jalgaoncell 4780001758
distance 0.091 · cross-district
#11 · Jalgaoncell 4780002381
distance 0.094 · cross-district
#12 · Jalgaoncell 4780001549
distance 0.096 · cross-district
#13 · Jalgaoncell 4780003649
distance 0.099 · cross-district
#14 · Jalgaoncell 4780003869
distance 0.108 · cross-district
#15 · Dhulecell 4740000508
distance 0.112
#16 · Dhulecell 4740000164
distance 0.116
#17 · Jalgaoncell 4780002383
distance 0.118 · cross-district
#18 · Dhulecell 4740000196
distance 0.121
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":4740000285}}}'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.