加入实验输出(批次 7/14)

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2026-09-23 23:34:49 +08:00
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# v2_c M3/M4 alignment variant
M1/M2 rows in the comparison files are fixed references recomputed on the original grouped folds. Only M3/M4 training losses changed. See `training_history.csv` for per-epoch loss components and row-collapse scores. `retrieval_metrics_learned_only.csv` restricts candidates to the same clip. `reconstruction_metrics_learned_only.csv` contrasts aligned and shuffled non-target streams. The experiment does not include RoPE, Gaussian bias, or latent-length changes.
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method,modality,n,mvr_mean,mvr_std,normalized_entropy_mean,normalized_entropy_std,width80_source_positions_mean,width80_source_positions_std,trajectory_span_fraction_mean,trajectory_span_fraction_std,c_row_mean,c_row_std,c_far_mean,c_far_std
M1,text,100,0.0,0.0,0.0008249471336603165,0.005233484169432736,1.004799998998642,0.0312849358458409,0.8612861520051956,0.07875036136087565,0.05273387315683067,0.040967303060331084,0.0030505051370710136,0.012498779201105408
M1,audio,100,0.0,0.0,0.35824004098773005,0.05432258900057586,12.056200053691864,7.307551875172266,0.893775851726532,0.0633850252464635,0.00011428571364376695,0.0006667297634119966,0.0,0.0
M1,vision,100,0.0,0.0,0.02091189981205389,0.03423249778642653,1.144999988079071,0.27983220085257804,0.8956127399206162,0.06562686269812752,0.02830121585226152,0.021041007935779427,0.0006565656932070852,0.0023563558397896012
M2,text,100,0.0,0.0,0.003971234038472176,0.010095580232451877,1.0215999960899353,0.060615033764357146,0.8611038619279862,0.07866203265683021,0.0670836262917146,0.04752071433284922,0.009555555987171829,0.021333202313050637
M2,audio,100,0.0,0.0,0.39199826538562776,0.04856653297051989,12.777399990558624,7.437441491467199,0.9684558147192002,0.009448425552619778,0.0002419708319939673,0.0006035161716670103,0.0,0.0
M2,vision,100,0.0,0.0,0.015714890849776567,0.04120196183036711,1.108399999141693,0.3072087474461631,0.974453701376915,0.016307502625488187,0.01613061201234814,0.015125531488902937,1.010101055726409e-05,0.00010101010557264089
M3,text,300,0.0,0.0,0.0004981429129838944,0.004964740878146852,1.0029999995231629,0.02989949245257891,0.8611844950914382,0.07838046017413693,0.05029387724061962,0.03881005718176363,0.0021717172907665372,0.009929329366532645
M3,audio,300,0.04965986292809248,0.046039232702674016,0.9615313863754272,0.02975842450961148,591.5564682515462,363.45046177754614,0.030192473232746125,0.11885304205882714,0.7838805524508158,0.11055978624870304,0.7610107602675756,0.12329628031285539
M3,vision,300,0.0384353735173742,0.05536943842771508,0.9923854084809621,0.013404476414742433,31.263666563034057,17.838432937105143,-0.017062429587046304,0.10808234541528873,0.9643254653612773,0.04721957681911462,0.959597568710645,0.052647792278547795
M4,text,300,0.028095237656186024,0.04180157899880665,0.9357868178685507,0.09317587174766029,14.43000000079473,8.028109220960303,0.27416034797827404,0.3440832793906236,0.8508569745222727,0.1883767377739766,0.8203452613949775,0.22697180590407384
M4,audio,300,0.003537414905925592,0.01125789507743471,0.9967691187063853,0.005254770948233532,612.9360665893555,366.7906156273985,0.005442904531955719,0.04464335339622941,0.9648355134328206,0.05407138105168013,0.9575162822008133,0.06548834176522159
M4,vision,300,0.0008843537233769893,0.006293723518023726,0.9998566188414891,0.000455487336785461,31.98399999300639,18.44212667914742,-0.0012653606136639912,0.022517290272620148,0.9990387284755706,0.0028979385684233766,0.9988387896617253,0.00352374154703437
1 method modality n mvr_mean mvr_std normalized_entropy_mean normalized_entropy_std width80_source_positions_mean width80_source_positions_std trajectory_span_fraction_mean trajectory_span_fraction_std c_row_mean c_row_std c_far_mean c_far_std
2 M1 text 100 0.0 0.0 0.0008249471336603165 0.005233484169432736 1.004799998998642 0.0312849358458409 0.8612861520051956 0.07875036136087565 0.05273387315683067 0.040967303060331084 0.0030505051370710136 0.012498779201105408
3 M1 audio 100 0.0 0.0 0.35824004098773005 0.05432258900057586 12.056200053691864 7.307551875172266 0.893775851726532 0.0633850252464635 0.00011428571364376695 0.0006667297634119966 0.0 0.0
4 M1 vision 100 0.0 0.0 0.02091189981205389 0.03423249778642653 1.144999988079071 0.27983220085257804 0.8956127399206162 0.06562686269812752 0.02830121585226152 0.021041007935779427 0.0006565656932070852 0.0023563558397896012
5 M2 text 100 0.0 0.0 0.003971234038472176 0.010095580232451877 1.0215999960899353 0.060615033764357146 0.8611038619279862 0.07866203265683021 0.0670836262917146 0.04752071433284922 0.009555555987171829 0.021333202313050637
6 M2 audio 100 0.0 0.0 0.39199826538562776 0.04856653297051989 12.777399990558624 7.437441491467199 0.9684558147192002 0.009448425552619778 0.0002419708319939673 0.0006035161716670103 0.0 0.0
7 M2 vision 100 0.0 0.0 0.015714890849776567 0.04120196183036711 1.108399999141693 0.3072087474461631 0.974453701376915 0.016307502625488187 0.01613061201234814 0.015125531488902937 1.010101055726409e-05 0.00010101010557264089
8 M3 text 300 0.0 0.0 0.0004981429129838944 0.004964740878146852 1.0029999995231629 0.02989949245257891 0.8611844950914382 0.07838046017413693 0.05029387724061962 0.03881005718176363 0.0021717172907665372 0.009929329366532645
9 M3 audio 300 0.04965986292809248 0.046039232702674016 0.9615313863754272 0.02975842450961148 591.5564682515462 363.45046177754614 0.030192473232746125 0.11885304205882714 0.7838805524508158 0.11055978624870304 0.7610107602675756 0.12329628031285539
10 M3 vision 300 0.0384353735173742 0.05536943842771508 0.9923854084809621 0.013404476414742433 31.263666563034057 17.838432937105143 -0.017062429587046304 0.10808234541528873 0.9643254653612773 0.04721957681911462 0.959597568710645 0.052647792278547795
11 M4 text 300 0.028095237656186024 0.04180157899880665 0.9357868178685507 0.09317587174766029 14.43000000079473 8.028109220960303 0.27416034797827404 0.3440832793906236 0.8508569745222727 0.1883767377739766 0.8203452613949775 0.22697180590407384
12 M4 audio 300 0.003537414905925592 0.01125789507743471 0.9967691187063853 0.005254770948233532 612.9360665893555 366.7906156273985 0.005442904531955719 0.04464335339622941 0.9648355134328206 0.05407138105168013 0.9575162822008133 0.06548834176522159
13 M4 vision 300 0.0008843537233769893 0.006293723518023726 0.9998566188414891 0.000455487336785461 31.98399999300639 18.44212667914742 -0.0012653606136639912 0.022517290272620148 0.9990387284755706 0.0028979385684233766 0.9988387896617253 0.00352374154703437

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