加入实验输出（批次 2/14）

deep_learning/Q1/outputs/alignment_v2/v2_a/README.md

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+# v2_a 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.

deep_learning/Q1/outputs/alignment_v2/v2_a/alignment_summary.csv

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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,300,0.03496598586440086,0.03640304554370756,0.9767967474460602,0.017347981322460494,599.922398630778,365.9153720228552,0.02474443261822065,0.0934237610715467,0.847295118967692,0.08119834105848804,0.8305209155877431,0.09103544633772578
+M3,vision,300,0.03061224441975355,0.04935864465229321,0.9961982589960098,0.005211960455272758,31.533333342870076,18.155009937695773,-0.013541405995686848,0.08279682832827391,0.9793170531590779,0.024312824450723625,0.9765233772993088,0.027612539222158793
+M4,text,300,0.05176870636021098,0.11747097075392939,0.9905825783809026,0.02290048606252346,15.625666695435841,8.30478247854065,0.13095197627941768,0.2642951158546239,0.9732618455092112,0.06231240652954477,0.9723508528868358,0.06387715890304423
+M4,audio,300,0.005170067958533764,0.026410544499475577,0.99944371342659,0.0015819389505569226,617.015801188151,368.489572265176,0.001468932529290517,0.030408872311407514,0.9940222209692001,0.016090477480143497,0.9937351761261622,0.016830106947761672
+M4,vision,300,0.004625850295027097,0.033435998096511356,0.9998662350575129,0.0007328611697517078,31.98919997215271,18.414347245348303,-0.0020403794447580973,0.03239022771642306,0.9991047716140747,0.00468501373776166,0.9990607563654582,0.004893073562997752