On AIME24 and AIME25, temporal discounting alone raises average accuracy by 2.04 points over vanilla OPD; naive reward mixing adds only 0.05 point beyond discounting, while the full discounting-plus-mixing-plus-normalization configuration reaches 57.56 average accuracy, a 3.91-point gain. Mixing plus normalization without discounting gains 2.00 points, supporting complementary contributions.

On AIME24 and AIME25, temporal discounting alone raises average accuracy by 2.04 points over vanilla OPD; naive reward mixing adds only 0.05 point beyond discounting, while the full discounting-plus-mixing-plus-normalization configuration reaches 57.56 average accuracy, a 3.91-point gain. Mixing plus normalization without discounting gains 2.00 points, supporting complementary contributions. · CiteArk

Measurement results

0/19 assessed

0 supported0 disputed or conflicting19 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
dataset: AIME24	56.46%	—	Not assessed
dataset: AIME25	50.83%	—	Not assessed
dataset: AIME24 and AIME25	53.65%	—	Not assessed
dataset: AIME24	58.29%	—	Not assessed
dataset: AIME25	53.08%	—	Not assessed
dataset: AIME24 and AIME25	55.69%	—	Not assessed
	2.04 percentage points	—	Not assessed
dataset: AIME24	58.81%	—	Not assessed
dataset: AIME25	52.67%	—	Not assessed
dataset: AIME24 and AIME25	55.74%	—	Not assessed
	2.09 percentage points	—	Not assessed
dataset: AIME24	57.55%	—	Not assessed

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results