加入实验输出（批次 5/14）

deep_learning/Q1/outputs/alignment_v2/v2_b/README.md

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+# v2_b 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_b/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,300,0.053741495590656996,0.04854289937086814,0.9597203038136164,0.031133730534386887,590.5188000996908,362.1219883075209,0.03004199410478274,0.11997565472085185,0.7766843110322952,0.11502334723344633,0.7540404575069746,0.12716002706398333
+M3,vision,300,0.04176870673274,0.05857753391785683,0.991181474129359,0.016927192411635157,31.173199923833213,17.68639793923619,-0.01644208629926046,0.11286131204052864,0.9605405292908351,0.05562659288421024,0.9555947492520015,0.0612760882229159
+M4,text,300,0.06578231145938238,0.11144337058033792,0.9756120812892913,0.04786575183795815,15.262533371448518,8.232131496519122,0.18321480214595795,0.30803700087793984,0.9300910091400146,0.12132898102159313,0.9275470821062723,0.12569725278558994
+M4,audio,300,0.016870747910191615,0.057347578359536036,0.9983269633849462,0.00373961989550012,615.6106022135417,368.49277935633853,0.0016909947991371156,0.03650966479954698,0.9825048013528188,0.03633411220998553,0.9816435275475184,0.037972958896888856
+M4,vision,300,0.0027891155766944092,0.01795340638250978,0.9999644958972931,0.00011992897677114397,32.01199999809265,18.471559504489356,-0.0014375574390093485,0.01574899868745025,0.9997702171405156,0.0007468622739250981,0.9997558965285619,0.0008043162105535497