Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000265
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.122
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011936
distance 0.122 · cross-district
#2 · Dhulecell 4740000229
distance 0.173
#3 · Dhulecell 4740002111
distance 0.176
#4 · Dhulecell 4740002534
distance 0.178
#5 · Dhulecell 4740002631
distance 0.18
#6 · Dhulecell 4740002525
distance 0.184
#7 · Nashikcell 4870007521
distance 0.189 · cross-district
#8 · Dhulecell 4740002112
distance 0.19
#9 · Dhulecell 4740000142
distance 0.193
#10 · Dhulecell 4740002628
distance 0.194
#11 · Dhulecell 4740002816
distance 0.195
#12 · Dhulecell 4740002533
distance 0.196
#13 · Jalgaoncell 4780000412
distance 0.205 · cross-district
#14 · Dhulecell 4740002633
distance 0.208
#15 · Jalgaoncell 4780002172
distance 0.211 · cross-district
#16 · Jalgaoncell 4780002380
distance 0.213 · cross-district
#17 · Jalgaoncell 4780002171
distance 0.214 · cross-district
#18 · Jalgaoncell 4780000925
distance 0.214 · 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":4740000265}}}'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.