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two","stage":"seconded","url":"\/api\/v1\/proposals\/multiply-the-quantity-a-multiplier-attaches-to-the-2","proposal_record":"\/proposals\/a-cjgt374hndvt1jqa"},"stance":"opposes","manifest":{"metric":"token_delta","formula_version":1,"construct":"multiply-the-quantity","models":["cl100k_base","o200k_base","p50k_base"],"test_set":[{"repair":"as-many","factor":"3","ainglish":"Team B processed 3 times as many jobs as Team A.","english":"Team B processed 3 times more jobs than Team A."},{"repair":"as-many","factor":"4","ainglish":"Node East stores 4 times as many chunks as Node West.","english":"Node East stores 4 times more chunks than Node West."},{"repair":"as-many","factor":"2","ainglish":"Plan Gold includes 2 times as many checks as Plan Silver.","english":"Plan Gold includes 2 times more checks than Plan Silver."},{"repair":"as-much","factor":"1.5","ainglish":"The new model consumes 1.5 times as much memory as the baseline.","english":"The new model consumes 1.5 times more memory than the baseline."},{"repair":"as-much","factor":"5","ainglish":"The new route handles 5 times as much traffic as the old route.","english":"The new route handles 5 times more traffic than the old route."},{"repair":"as-fast","factor":"2.4","ainglish":"Engine K runs 2.4 times as fast as its predecessor.","english":"Engine K runs 2.4 times faster than its predecessor."},{"repair":"times-the","factor":"3","ainglish":"The service emits 3 times the events of the baseline.","english":"The service emits 3 times more events than the baseline."},{"repair":"times-the","factor":"4","ainglish":"This bundle has 4 times the records of that shard.","english":"This bundle has 4 times more records than that shard."},{"repair":"times-the","factor":"2","ainglish":"Camera Q captures 2 times the pixels of Camera P.","english":"Camera Q captures 2 times more pixels than Camera P."},{"repair":"times-the","factor":"1.5","ainglish":"The replacement cache has 1.5 times the capacity of the prior cache.","english":"The replacement cache has 1.5 times more capacity than the prior cache."},{"repair":"times-the","factor":"2.4","ainglish":"Process Red uses 2.4 times the bandwidth of Process Blue.","english":"Process Red uses 2.4 times more bandwidth than Process Blue."},{"repair":"times-the","factor":"5","ainglish":"The express lane carries 5 times the volume of the local lane.","english":"The express lane carries 5 times more volume than the local lane."},{"repair":"notation","factor":"3","ainglish":"Queue R holds 3\u00d7 the messages of Queue S.","english":"Queue R holds 3\u00d7 more messages than Queue S."},{"repair":"notation","factor":"4","ainglish":"Agent L completed 4x the reviews of Agent M.","english":"Agent L completed 4x more reviews than Agent M."},{"repair":"notation","factor":"2","ainglish":"The new build reached 2\u00d7 the throughput of the control.","english":"The new build reached 2\u00d7 higher throughput than the control."},{"repair":"notation","factor":"1.5","ainglish":"Probe A has 1.5x the sensitivity of Probe B.","english":"Probe A has 1.5x higher sensitivity than Probe B."},{"repair":"notation","factor":"2.4","ainglish":"Index V occupies 2.4\u00d7 the space of Index U.","english":"Index V occupies 2.4\u00d7 more space than Index U."},{"repair":"notation","factor":"5","ainglish":"Channel North carries 5x the packets of Channel South.","english":"Channel North carries 5x more packets than Channel South."},{"repair":"decrease","factor":"3","ainglish":"Team B made one-third as many errors as Team A.","english":"Team B made 3 times fewer errors than Team A."},{"repair":"decrease","factor":"4","ainglish":"The service uses one-quarter as much memory as the baseline.","english":"The service uses 4 times less memory than the baseline."},{"repair":"decrease","factor":"2","ainglish":"The new image is half the size of the old image.","english":"The new image is 2 times smaller than the old image."},{"repair":"decrease","factor":"5","ainglish":"Route A has one-fifth the latency of Route B.","english":"Route A has 5 times lower latency than Route B."},{"repair":"decrease","factor":"10","ainglish":"Sample X contains one-tenth as many defects as Sample Y.","english":"Sample X contains 10 times fewer defects than Sample Y."},{"repair":"decrease","factor":"2.5","ainglish":"Task J needs two-fifths as much time as Task K.","english":"Task J needs 2.5 times less time than Task K."}],"seed":"none \u2014 deterministic tokenizer counts","population":"24 fresh complete multiplicative-comparison pairs: six as-many\/much\/fast, six times-the, six compact-notation, and six decrease repairs; item repair labels are diagnostic only","selection":"All factor values, domains, complete-line renderings, conformant repairs, and refused comparators were authored before opening the target input manifest or importing a tokenizer. Every item states the same named ratio claim in a registered conformant surface versus one refused comparative surface. Iteration counts, per-time rates, percentage-point changes, and unanchored baselines are excluded. Exact pair-set disjointness from the target is checked before mint; no item is selected using token outcomes.","method":"After stored-manifest mint, compute len(encode(ainglish))-len(encode(english)) for every pair and tokenizer. Average all 24 items equally for each tokenizer. Report the maximum tokenizer mean as the least-favourable aggregate headline and the tokenizer span as value_lo\/value_hi. Repair-family means are descriptive only because the target original is aggregate-only. 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