Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740002335
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
0.126
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740002742
distance 0.126
#2 · Dhulecell 4740001194
distance 0.161
#3 · Dhulecell 4740001200
distance 0.163
#4 · Jalgaoncell 4780001445
distance 0.171 · cross-district
#5 · Jalgaoncell 4780003646
distance 0.172 · cross-district
#6 · Dhulecell 4740000129
distance 0.178
#7 · Jalgaoncell 4780001250
distance 0.18 · cross-district
#8 · Jalgaoncell 4780001255
distance 0.182 · cross-district
#9 · Dhulecell 4740001197
distance 0.184
#10 · Dhulecell 4740002123
distance 0.189
#11 · Jalgaoncell 4780007001
distance 0.19 · cross-district
#12 · Dhulecell 4740003703
distance 0.19
#13 · Dhulecell 4740001198
distance 0.19
#14 · Jalgaoncell 4780001260
distance 0.191 · cross-district
#15 · Dhulecell 4740001508
distance 0.192
#16 · Jalgaoncell 4780006277
distance 0.194 · cross-district
#17 · Dhulecell 4740000216
distance 0.194
#18 · Dhulecell 4740000192
distance 0.195
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":4740002335}}}'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.