Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900005655
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
0.13
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900005526
distance 0.13
#2 · Punecell 4900005789
distance 0.157
#3 · Punecell 4900005533
distance 0.161
#4 · Punecell 4900006047
distance 0.172
#5 · Beedcell 4700005437
distance 0.176 · cross-district
#6 · Punecell 4900006172
distance 0.202
#7 · Beedcell 4700000280
distance 0.203 · cross-district
#8 · Punecell 4900004049
distance 0.213
#9 · Beedcell 4700006953
distance 0.214 · cross-district
#10 · Punecell 4900003483
distance 0.215
#11 · Punecell 4900005785
distance 0.216
#12 · Solapurcell 4960009556
distance 0.218 · cross-district
#13 · Laturcell 4810003653
distance 0.219 · cross-district
#14 · Punecell 4900005538
distance 0.221
#15 · Nashikcell 4870012321
distance 0.223 · cross-district
#16 · Ahmednagarcell 4660003084
distance 0.224 · cross-district
#17 · Punecell 4900004719
distance 0.224
#18 · Jalgaoncell 4780003739
distance 0.226 · 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":4900005655}}}'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.