Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900004840
The MH-36 locality cells most similar to this Pune 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 7 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.195
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900001161
distance 0.195
#2 · Punecell 4900004290
distance 0.201
#3 · Punecell 4900004993
distance 0.203
#4 · Punecell 4900005522
distance 0.215
#5 · Punecell 4900003874
distance 0.219
#6 · Solapurcell 4960000892
distance 0.221 · cross-district
#7 · Punecell 4900005401
distance 0.221
#8 · Jalgaoncell 4780004188
distance 0.222 · cross-district
#9 · Punecell 4900005250
distance 0.224
#10 · Sanglicell 4930004453
distance 0.225 · cross-district
#11 · Nashikcell 4870002774
distance 0.225 · cross-district
#12 · Punecell 4900005256
distance 0.225
#13 · Punecell 4900005393
distance 0.226
#14 · Solapurcell 4960010940
distance 0.229 · cross-district
#15 · Punecell 4900005781
distance 0.229
#16 · Dhulecell 4740000029
distance 0.23 · cross-district
#17 · Laturcell 4810004461
distance 0.232 · cross-district
#18 · Jalgaoncell 4780004367
distance 0.232 · 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":490,"cluster_id":4900004840}}}'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.