Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001095
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
0.077
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740001303
distance 0.077
#2 · Dhulecell 4740001921
distance 0.086
#3 · Dhulecell 4740001299
distance 0.087
#4 · Dhulecell 4740002548
distance 0.092
#5 · Jalgaoncell 4780004658
distance 0.094 · cross-district
#6 · Dhulecell 4740001198
distance 0.102
#7 · Jalgaoncell 4780004891
distance 0.104 · cross-district
#8 · Dhulecell 4740001197
distance 0.104
#9 · Jalgaoncell 4780005975
distance 0.106 · cross-district
#10 · Dhulecell 4740002124
distance 0.106
#11 · Jalgaoncell 4780005273
distance 0.109 · cross-district
#12 · Dhulecell 4740002648
distance 0.11
#13 · Dhulecell 4740001305
distance 0.11
#14 · Dhulecell 4740002442
distance 0.11
#15 · Jalgaoncell 4780004661
distance 0.112 · cross-district
#16 · Dhulecell 4740002125
distance 0.113
#17 · Jalgaoncell 4780005413
distance 0.113 · cross-district
#18 · Jalgaoncell 4780006277
distance 0.12 · 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":4740001095}}}'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.