Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900005775
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
0.311
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660005139
distance 0.311 · cross-district
#2 · Punecell 4900006285
distance 0.329
#3 · Ahmednagarcell 4660005130
distance 0.348 · cross-district
#4 · Ahmednagarcell 4660007137
distance 0.369 · cross-district
#5 · Punecell 4900005905
distance 0.371
#6 · Sataracell 4940008117
distance 0.373 · cross-district
#7 · Punecell 4900008848
distance 0.382
#8 · Punecell 4900001014
distance 0.386
#9 · Punecell 4900001441
distance 0.39
#10 · Punecell 4900005778
distance 0.392
#11 · Punecell 4900001280
distance 0.394
#12 · Punecell 4900008732
distance 0.395
#13 · Punecell 4900003435
distance 0.397
#14 · Kolhapurcell 4800004958
distance 0.398 · cross-district
#15 · Punecell 4900006137
distance 0.402
#16 · Punecell 4900005098
distance 0.404
#17 · Sataracell 4940007122
distance 0.404 · cross-district
#18 · Solapurcell 4960007671
distance 0.405 · 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":4900005775}}}'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.