Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900005006
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.141
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900008873
distance 0.141
#2 · Punecell 4900006291
distance 0.15
#3 · Punecell 4900005541
distance 0.158
#4 · Beedcell 4700004158
distance 0.159 · cross-district
#5 · Punecell 4900006059
distance 0.16
#6 · Punecell 4900007393
distance 0.161
#7 · Punecell 4900006183
distance 0.163
#8 · Nashikcell 4870005726
distance 0.164 · cross-district
#9 · Punecell 4900007023
distance 0.165
#10 · Punecell 4900002033
distance 0.167
#11 · Punecell 4900007274
distance 0.168
#12 · Punecell 4900008760
distance 0.169
#13 · Solapurcell 4960012135
distance 0.169 · cross-district
#14 · Ahmednagarcell 4660000803
distance 0.17 · cross-district
#15 · Beedcell 4700002446
distance 0.171 · cross-district
#16 · Ahmednagarcell 4660002046
distance 0.172 · cross-district
#17 · Solapurcell 4960000819
distance 0.173 · cross-district
#18 · Beedcell 4700003811
distance 0.174 · 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":4900005006}}}'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.