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model card: full baseline comparison (same harness) + paired CIs; add eval/comparison reports
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robopulse-v1: 1800 items

model answered acc (95% CI) balanced acc macro-F1 F1 pos / neg AUROC NLL ECE pred pos rate
JevAny-4B-RoboJudge 1800/1800 71.1 [68.8, 73.2] 71.1 71.0 70.6 / 71.5 0.806 0.518 0.040 48.4
JevAny-4B 1800/1800 52.7 [50.5, 55.0] 52.7 44.2 66.0 / 22.3 0.588 0.746 0.151 89.2
Qwen3.5-4B-zeroshot 1800/1800 49.9 [47.6, 52.2] 49.9 33.4 66.5 / 0.2 0.519 1.277 0.393 99.8
JevAny-27B 1800/1800 56.6 [54.3, 59.0] 56.6 53.0 66.1 / 39.9 0.627 0.750 0.141 77.8
Qwen3.8-27B-zeroshot 1800/1800 56.7 [54.5, 59.1] 56.7 54.5 64.6 / 44.3 0.604 0.686 0.041 72.3
OneJev-27B 1800/1800 60.4 [58.1, 62.6] 60.4 60.3 59.0 / 61.6 0.651 0.659 0.056 46.7
OneJev-9B 1800/1800 57.6 [55.2, 59.8] 57.6 57.6 57.4 / 57.7 0.595 0.710 0.099 49.7
OneJev-4B 1800/1800 53.9 [51.6, 56.2] 53.9 51.9 61.8 / 42.0 0.586 0.711 0.100 70.6
Intern-Decision-4B 1800/1800 51.6 [49.3, 53.9] 51.6 48.1 61.6 / 34.6 0.547 0.722 0.110 76.1
OmniJev-4B 1800/1800 49.7 [47.4, 52.1] 49.7 42.2 63.1 / 21.2 0.536 0.831 0.218 86.2
Jev-Omni-12B 1800/1800 49.4 [47.1, 51.8] 49.4 46.9 58.4 / 35.3 0.492 0.744 0.112 71.7

Timing

model GPUs load s wall s (loop) mean / median / p95 ms per item items/s median input tokens GPU-hours
JevAny-4B-RoboJudge 1x NVIDIA A100-SXM4-40GB 11 586 325 / 294 / 540 3.07 1269 0.17
JevAny-4B 1x NVIDIA A100-SXM4-40GB 13 573 318 / 287 / 541 3.14 1269 0.16
Qwen3.5-4B-zeroshot 1x NVIDIA A100-SXM4-40GB 29 523 291 / 265 / 465 3.44 1427 0.15
JevAny-27B 2x NVIDIA A100-SXM4-40GB 56 1666 926 / 838 / 1542 1.08 1269 0.96
Qwen3.8-27B-zeroshot 2x NVIDIA A100-SXM4-40GB 74 1491 828 / 772 / 1307 1.21 1427 0.87
OneJev-27B 2x NVIDIA A100-SXM4-40GB 27 1438 799 / 732 / 1306 1.25 1384 0.81
OneJev-9B 1x NVIDIA A100-SXM4-40GB 14 609 338 / 307 / 558 2.96 1384 0.17
OneJev-4B 1x NVIDIA A100-SXM4-40GB 12 517 287 / 266 / 467 3.48 1384 0.15
Intern-Decision-4B 1x NVIDIA A100-SXM4-40GB 11 545 302 / 277 / 487 3.31 1497 0.15
OmniJev-4B 1x NVIDIA A100-SXM4-40GB 26 701 389 / 381 / 413 2.57 1254 0.20
Jev-Omni-12B 1x NVIDIA A100-SXM4-40GB 17 1099 610 / 608 / 632 1.64 2792 0.31

Slices (accuracy / macro-F1, %)

slice n JevAny-4B-RoboJudge JevAny-4B Qwen3.5-4B-zeroshot JevAny-27B Qwen3.8-27B-zeroshot OneJev-27B OneJev-9B OneJev-4B Intern-Decision-4B OmniJev-4B Jev-Omni-12B
hop_bin=large 552 81.9 / 81.8 57.1 / 52.5 48.9 / 32.8 64.3 / 62.8 64.7 / 64.4 75.9 / 75.9 71.6 / 71.6 62.3 / 61.0 54.9 / 52.8 50.7 / 42.8 49.8 / 47.8
hop_bin=medium 500 76.0 / 75.9 52.4 / 39.9 52.4 / 34.4 59.6 / 53.7 59.4 / 56.0 64.2 / 64.1 59.4 / 58.9 56.2 / 52.3 55.2 / 49.2 51.4 / 40.4 52.8 / 48.9
hop_bin=small 748 59.8 / 59.7 49.7 / 39.6 48.9 / 33.1 48.9 / 44.5 49.1 / 44.6 46.4 / 45.9 46.0 / 45.7 46.1 / 44.5 46.8 / 43.5 47.9 / 42.4 46.8 / 44.7
image_dataset=agibotworld 200 62.5 / 62.2 51.0 / 36.3 50.0 / 33.3 50.5 / 39.6 54.0 / 46.7 55.0 / 54.6 53.0 / 52.3 52.5 / 46.9 49.5 / 42.7 47.5 / 35.9 52.5 / 50.2
image_dataset=agilex_newdragon 200 69.5 / 69.4 50.5 / 39.6 50.0 / 33.3 54.0 / 52.1 57.0 / 53.6 60.5 / 60.1 58.5 / 58.5 55.5 / 54.1 51.5 / 50.3 49.0 / 37.4 47.5 / 45.6
image_dataset=droid_oxe 200 73.0 / 72.9 52.0 / 39.1 50.0 / 33.3 56.5 / 50.6 60.0 / 59.3 63.0 / 63.0 61.0 / 61.0 54.0 / 49.1 51.5 / 40.8 49.5 / 40.7 52.0 / 49.6
image_dataset=galaxea_r1lite 200 64.5 / 64.2 51.5 / 47.2 50.0 / 33.3 60.0 / 59.2 60.5 / 60.5 67.5 / 66.7 60.5 / 60.5 51.0 / 49.4 49.0 / 40.9 51.0 / 43.7 45.0 / 39.6
image_dataset=human_egodex 200 68.0 / 68.0 55.5 / 52.7 49.5 / 34.0 52.5 / 45.7 53.5 / 49.1 56.0 / 55.6 54.5 / 54.0 56.0 / 55.4 57.5 / 57.1 50.0 / 46.7 46.5 / 34.0
image_dataset=human_pika 200 67.5 / 67.4 50.0 / 41.6 50.0 / 33.3 51.5 / 48.1 51.0 / 46.2 57.0 / 57.0 52.5 / 52.5 52.0 / 49.8 49.5 / 45.0 49.0 / 36.8 49.5 / 48.1
image_dataset=libero_data 200 84.0 / 84.0 59.0 / 51.2 50.0 / 33.3 69.5 / 67.0 69.5 / 68.0 68.5 / 68.4 65.0 / 65.0 61.0 / 58.6 53.5 / 48.4 51.0 / 45.8 53.0 / 49.9
image_dataset=robocasa_data 200 72.0 / 71.8 50.5 / 34.4 50.0 / 33.3 55.5 / 51.9 45.5 / 39.1 56.0 / 55.4 54.0 / 54.0 51.5 / 48.9 49.0 / 47.8 50.0 / 43.5 49.5 / 49.2
image_dataset=robotwin2_agilex_part1 200 78.5 / 78.5 54.5 / 47.9 49.5 / 33.1 59.5 / 57.1 59.5 / 59.3 60.0 / 59.4 59.0 / 58.7 51.5 / 51.3 53.5 / 51.5 50.5 / 45.0 49.0 / 45.3

Paired: JevAny-4B-RoboJudge − JevAny-4B

  • accuracy: 18.3 pts, 95% CI [15.3, 21.5]
  • macro-F1: 26.9 pts, 95% CI [24.0, 29.8]
  • McNemar: JevAny-4B-RoboJudge only correct 584, JevAny-4B only correct 254, exact p = 1.062e-30