diff --git a/ARTICLE_IMAGE_SOURCES.md b/ARTICLE_IMAGE_SOURCES.md new file mode 100644 index 0000000000000000000000000000000000000000..96dec9b3172b52287cb9c7f6a77e6049406fa705 --- /dev/null +++ b/ARTICLE_IMAGE_SOURCES.md @@ -0,0 +1,2369 @@ +# Источники статей для изображений + +Файл создан автоматически: `2026-05-16T20:35:37Z`. + +Назначение файла — зафиксировать ссылки на статьи, из которых взяты изображения/отрендеренные PDF-страницы в `data/task3_vlm_generation.jsonl`. Это нужно для соблюдения правил цитирования источников. + +Всего image-записей: **1092**. +Уникальных статей/идентификаторов: **127**. + +## 978-1-939133-44-1 + +- Ссылка на статью: 978-1-939133-44-1 +- Название: PointerGuess: Targeted Password Guessing Model Using Pointer Mechanism +- Идентификаторы: 978-1-939133-44-1 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5ad3fe3294:case-003` | `CASE-003` | `assets/images/5ad3fe3294/case-003/explicit_01_page_001.png` | Fig. 1 | figure | +| `task3:5ad3fe3294:case-003` | `CASE-003` | `assets/images/5ad3fe3294/case-003/explicit_02_page_001.png` | Fig. 1 | figure | +| `task3:5ad3fe3294:case-003` | `CASE-003` | `assets/images/5ad3fe3294/case-003/explicit_03_page_001.png` | Fig. 1 | figure | +| `task3:5ad3fe3294:case-003` | `CASE-003` | `assets/images/5ad3fe3294/case-003/explicit_04_page_001.png` | Fig. 1 | figure | + +## 978-1-939133-52-6 + +- Ссылка на статью: 978-1-939133-52-6 +- Название: Password Guessing Using Large Language Models +- Идентификаторы: 978-1-939133-52-6 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5ad3fe3294:case-001` | `CASE-001` | `assets/images/5ad3fe3294/case-001/explicit_01_page_001.png` | Fig.1 | figure_or_table | +| `task3:5ad3fe3294:case-001` | `CASE-001` | `assets/images/5ad3fe3294/case-001/explicit_02_page_001.png` | Fig.1 | figure_or_table | +| `task3:5ad3fe3294:case-001` | `CASE-001` | `assets/images/5ad3fe3294/case-001/explicit_03_page_001.png` | Fig.1 | figure_or_table | +| `task3:5ad3fe3294:case-001` | `CASE-001` | `assets/images/5ad3fe3294/case-001/explicit_04_page_001.png` | Fig.1 | figure_or_table | +| `task3:5ad3fe3294:case-002` | `CASE-002` | `assets/images/5ad3fe3294/case-002/explicit_01_page_002.png` | p.2 | page | +| `task3:5ad3fe3294:case-002` | `CASE-002` | `assets/images/5ad3fe3294/case-002/explicit_02_page_002.png` | p.2 | page | +| `task3:5ad3fe3294:case-002` | `CASE-002` | `assets/images/5ad3fe3294/case-002/explicit_03_page_002.png` | p.2 | page | +| `task3:5ad3fe3294:case-002` | `CASE-002` | `assets/images/5ad3fe3294/case-002/explicit_04_page_002.png` | p.2 | page | + +## SSC18-XI-02 + +- Ссылка на статью: SSC18-XI-02 +- Название: Payload Configuration Integration and Testing of the DeMi CubeSat +- Идентификаторы: SSC18-XI-02 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:ca35bd9ad6:case-004` | `CASE-004` | `assets/images/ca35bd9ad6/case-004/explicit_01_page_003.png` | p.4, Fig. 3 | figure | +| `task3:ca35bd9ad6:case-004` | `CASE-004` | `assets/images/ca35bd9ad6/case-004/explicit_02_page_003.png` | p.4, Fig. 3 | figure | +| `task3:ca35bd9ad6:case-004` | `CASE-004` | `assets/images/ca35bd9ad6/case-004/explicit_03_page_003.png` | p.4, Fig. 3 | figure | +| `task3:ca35bd9ad6:case-004` | `CASE-004` | `assets/images/ca35bd9ad6/case-004/explicit_04_page_003.png` | p.4, Fig. 3 | figure | +| `task3:ca35bd9ad6:case-005` | `CASE-005` | `assets/images/ca35bd9ad6/case-005/explicit_01_page_005.png` | p.5, Fig. 5 | figure | +| `task3:ca35bd9ad6:case-005` | `CASE-005` | `assets/images/ca35bd9ad6/case-005/explicit_02_page_005.png` | p.5, Fig. 5 | figure | +| `task3:ca35bd9ad6:case-005` | `CASE-005` | `assets/images/ca35bd9ad6/case-005/explicit_03_page_005.png` | p.5, Fig. 5 | figure | +| `task3:ca35bd9ad6:case-005` | `CASE-005` | `assets/images/ca35bd9ad6/case-005/explicit_04_page_005.png` | p.5, Fig. 5 | figure | +| `task3:ca35bd9ad6:case-006` | `CASE-006` | `assets/images/ca35bd9ad6/case-006/explicit_01_page_002.png` | p.2, Text section | page | +| `task3:ca35bd9ad6:case-006` | `CASE-006` | `assets/images/ca35bd9ad6/case-006/explicit_02_page_002.png` | p.2, Text section | page | +| `task3:ca35bd9ad6:case-006` | `CASE-006` | `assets/images/ca35bd9ad6/case-006/explicit_03_page_002.png` | p.2, Text section | page | +| `task3:ca35bd9ad6:case-006` | `CASE-006` | `assets/images/ca35bd9ad6/case-006/explicit_04_page_002.png` | p.2, Text section | page | + +## SSC19-VI-02 + +- Ссылка на статью: SSC19-VI-02 +- Название: Optical Communications Crosslink Payload Prototype Development for the Cubesat Laser Infrared CrosslinK (CLICK) Mission +- Идентификаторы: SSC19-VI-02 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:ca35bd9ad6:case-007` | `CASE-007` | `assets/images/ca35bd9ad6/case-007/explicit_01_page_004.png` | p.8, Table 4 | table | +| `task3:ca35bd9ad6:case-007` | `CASE-007` | `assets/images/ca35bd9ad6/case-007/explicit_02_page_004.png` | p.8, Table 4 | table | +| `task3:ca35bd9ad6:case-007` | `CASE-007` | `assets/images/ca35bd9ad6/case-007/explicit_03_page_004.png` | p.8, Table 4 | table | +| `task3:ca35bd9ad6:case-007` | `CASE-007` | `assets/images/ca35bd9ad6/case-007/explicit_04_page_004.png` | p.8, Table 4 | table | +| `task3:ca35bd9ad6:case-008` | `CASE-008` | `assets/images/ca35bd9ad6/case-008/explicit_01_page_006.png` | p.6, Fig. 6 | figure | +| `task3:ca35bd9ad6:case-008` | `CASE-008` | `assets/images/ca35bd9ad6/case-008/explicit_02_page_006.png` | p.6, Fig. 6 | figure | +| `task3:ca35bd9ad6:case-008` | `CASE-008` | `assets/images/ca35bd9ad6/case-008/explicit_03_page_016.png` | p.6, Fig. 6 | figure | +| `task3:ca35bd9ad6:case-008` | `CASE-008` | `assets/images/ca35bd9ad6/case-008/explicit_04_page_016.png` | p.6, Fig. 6 | figure | +| `task3:ca35bd9ad6:case-009` | `CASE-009` | `assets/images/ca35bd9ad6/case-009/explicit_01_page_011.png` | p.10, Fig. 11 | figure | +| `task3:ca35bd9ad6:case-009` | `CASE-009` | `assets/images/ca35bd9ad6/case-009/explicit_02_page_011.png` | p.10, Fig. 11 | figure | +| `task3:ca35bd9ad6:case-009` | `CASE-009` | `assets/images/ca35bd9ad6/case-009/explicit_03_page_010.png` | p.10, Fig. 11 | figure | +| `task3:ca35bd9ad6:case-009` | `CASE-009` | `assets/images/ca35bd9ad6/case-009/explicit_04_page_010.png` | p.10, Fig. 11 | figure | + +## https://arxiv.org/abs/1704.07994 + +- Ссылка на статью: https://arxiv.org/abs/1704.07994 +- Название: Superscattering pattern shaping for radially anisotropic nanowires +- Идентификаторы: arXiv:1704.07994 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:598d6ea6b4:case-012` | `CASE-012` | `assets/images/598d6ea6b4/case-012/explicit_01_page_015.png` | p.2, Fig.1, p.5, Fig.5 | figure_or_table | +| `task3:598d6ea6b4:case-012` | `CASE-012` | `assets/images/598d6ea6b4/case-012/explicit_02_page_015.png` | p.2, Fig.1, p.5, Fig.5 | figure_or_table | +| `task3:598d6ea6b4:case-012` | `CASE-012` | `assets/images/598d6ea6b4/case-012/explicit_03_page_005.png` | p.2, Fig.1, p.5, Fig.5 | figure_or_table | +| `task3:598d6ea6b4:case-012` | `CASE-012` | `assets/images/598d6ea6b4/case-012/explicit_04_page_005.png` | p.2, Fig.1, p.5, Fig.5 | figure_or_table | + +## https://arxiv.org/abs/1809.00170 + +- Ссылка на статью: https://arxiv.org/abs/1809.00170 +- Название: Linear regression analysis of template aging in iris biometrics +- Идентификаторы: arXiv:1809.00170 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-009` | `CASE-009` | `assets/images/cherbaev__iris_retina_modern_ab/case-009/explicit_01_page_000.png` | Таблица 29 регрессионных моделей с коэффициентами при time-параметре, image sharpness, local contrast | table | +| `task3:cherbaev__iris_retina_modern_ab:case-009` | `CASE-009` | `assets/images/cherbaev__iris_retina_modern_ab/case-009/explicit_02_page_000.png` | Таблица 29 регрессионных моделей с коэффициентами при time-параметре, image sharpness, local contrast | table | +| `task3:cherbaev__iris_retina_modern_ab:case-009` | `CASE-009` | `assets/images/cherbaev__iris_retina_modern_ab/case-009/explicit_03_page_000.png` | Таблица 29 регрессионных моделей с коэффициентами при time-параметре, image sharpness, local contrast | table | +| `task3:cherbaev__iris_retina_modern_ab:case-009` | `CASE-009` | `assets/images/cherbaev__iris_retina_modern_ab/case-009/explicit_04_page_000.png` | Таблица 29 регрессионных моделей с коэффициентами при time-параметре, image sharpness, local contrast | table | + +## https://arxiv.org/abs/1812.05599 + +- Ссылка на статью: https://arxiv.org/abs/1812.05599 +- Название: Experimental Observation of Superscattering +- Идентификаторы: arXiv:1812.05599 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:598d6ea6b4:case-008` | `CASE-008` | `assets/images/598d6ea6b4/case-008/explicit_01_page_001.png` | p.1, p.2 | page | +| `task3:598d6ea6b4:case-008` | `CASE-008` | `assets/images/598d6ea6b4/case-008/explicit_02_page_001.png` | p.1, p.2 | page | +| `task3:598d6ea6b4:case-008` | `CASE-008` | `assets/images/598d6ea6b4/case-008/explicit_03_page_001.png` | p.1, p.2 | page | +| `task3:598d6ea6b4:case-008` | `CASE-008` | `assets/images/598d6ea6b4/case-008/explicit_04_page_001.png` | p.1, p.2 | page | +| `task3:598d6ea6b4:case-011` | `CASE-011` | `assets/images/598d6ea6b4/case-011/explicit_01_page_001.png` | p.1 | page | +| `task3:598d6ea6b4:case-011` | `CASE-011` | `assets/images/598d6ea6b4/case-011/explicit_02_page_001.png` | p.1 | page | +| `task3:598d6ea6b4:case-011` | `CASE-011` | `assets/images/598d6ea6b4/case-011/explicit_03_page_001.png` | p.1 | page | +| `task3:598d6ea6b4:case-011` | `CASE-011` | `assets/images/598d6ea6b4/case-011/explicit_04_page_001.png` | p.1 | page | + +## https://arxiv.org/abs/2011.11954 + +- Ссылка на статью: https://arxiv.org/abs/2011.11954 +- Название: SimTreeLS: Simulating aerial and terrestrial laser scans of trees +- Идентификаторы: 2011.11954 +- Использовано изображений/страниц: 48 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:fred-westling__4e51465083:case-001` | `CASE-001` | `assets/images/fred-westling__4e51465083/case-001/explicit_01_page_001.png` | p.2, Fig.1 | figure | +| `task3:fred-westling__4e51465083:case-001` | `CASE-001` | `assets/images/fred-westling__4e51465083/case-001/explicit_02_page_001.png` | p.2, Fig.1 | figure | +| `task3:fred-westling__4e51465083:case-001` | `CASE-001` | `assets/images/fred-westling__4e51465083/case-001/explicit_03_page_001.png` | p.2, Fig.1 | figure | +| `task3:fred-westling__4e51465083:case-001` | `CASE-001` | `assets/images/fred-westling__4e51465083/case-001/explicit_04_page_001.png` | p.2, Fig.1 | figure | +| `task3:fred-westling__4e51465083:case-002` | `CASE-002` | `assets/images/fred-westling__4e51465083/case-002/explicit_01_page_002.png` | p.3, Fig.2 | figure | +| `task3:fred-westling__4e51465083:case-002` | `CASE-002` | `assets/images/fred-westling__4e51465083/case-002/explicit_02_page_002.png` | p.3, Fig.2 | figure | +| `task3:fred-westling__4e51465083:case-002` | `CASE-002` | `assets/images/fred-westling__4e51465083/case-002/explicit_03_page_002.png` | p.3, Fig.2 | figure | +| `task3:fred-westling__4e51465083:case-002` | `CASE-002` | `assets/images/fred-westling__4e51465083/case-002/explicit_04_page_002.png` | p.3, Fig.2 | figure | +| `task3:fred-westling__4e51465083:case-003` | `CASE-003` | `assets/images/fred-westling__4e51465083/case-003/explicit_01_page_003.png` | p.2, Fig.3 | figure | +| `task3:fred-westling__4e51465083:case-003` | `CASE-003` | `assets/images/fred-westling__4e51465083/case-003/explicit_02_page_003.png` | p.2, Fig.3 | figure | +| `task3:fred-westling__4e51465083:case-003` | `CASE-003` | `assets/images/fred-westling__4e51465083/case-003/explicit_03_page_003.png` | p.2, Fig.3 | figure | +| `task3:fred-westling__4e51465083:case-003` | `CASE-003` | `assets/images/fred-westling__4e51465083/case-003/explicit_04_page_003.png` | p.2, Fig.3 | figure | +| `task3:fred-westling__4e51465083:case-004` | `CASE-004` | `assets/images/fred-westling__4e51465083/case-004/explicit_01_page_004.png` | p.4, Fig.4 | figure | +| `task3:fred-westling__4e51465083:case-004` | `CASE-004` | `assets/images/fred-westling__4e51465083/case-004/explicit_02_page_004.png` | p.4, Fig.4 | figure | +| `task3:fred-westling__4e51465083:case-004` | `CASE-004` | `assets/images/fred-westling__4e51465083/case-004/explicit_03_page_004.png` | p.4, Fig.4 | figure | +| `task3:fred-westling__4e51465083:case-004` | `CASE-004` | `assets/images/fred-westling__4e51465083/case-004/explicit_04_page_004.png` | p.4, Fig.4 | figure | +| `task3:fred-westling__4e51465083:case-005` | `CASE-005` | `assets/images/fred-westling__4e51465083/case-005/explicit_01_page_005.png` | p.5, Fig.5 | figure | +| `task3:fred-westling__4e51465083:case-005` | `CASE-005` | `assets/images/fred-westling__4e51465083/case-005/explicit_02_page_005.png` | p.5, Fig.5 | figure | +| `task3:fred-westling__4e51465083:case-005` | `CASE-005` | `assets/images/fred-westling__4e51465083/case-005/explicit_03_page_005.png` | p.5, Fig.5 | figure | +| `task3:fred-westling__4e51465083:case-005` | `CASE-005` | `assets/images/fred-westling__4e51465083/case-005/explicit_04_page_005.png` | p.5, Fig.5 | figure | +| `task3:fred-westling__4e51465083:case-006` | `CASE-006` | `assets/images/fred-westling__4e51465083/case-006/explicit_01_page_006.png` | p.5, Fig.6 | figure | +| `task3:fred-westling__4e51465083:case-006` | `CASE-006` | `assets/images/fred-westling__4e51465083/case-006/explicit_02_page_006.png` | p.5, Fig.6 | figure | +| `task3:fred-westling__4e51465083:case-006` | `CASE-006` | `assets/images/fred-westling__4e51465083/case-006/explicit_03_page_016.png` | p.5, Fig.6 | figure | +| `task3:fred-westling__4e51465083:case-006` | `CASE-006` | `assets/images/fred-westling__4e51465083/case-006/explicit_04_page_016.png` | p.5, Fig.6 | figure | +| `task3:fred-westling__4e51465083:case-007` | `CASE-007` | `assets/images/fred-westling__4e51465083/case-007/explicit_01_page_007.png` | p.6, Fig.7 | figure | +| `task3:fred-westling__4e51465083:case-007` | `CASE-007` | `assets/images/fred-westling__4e51465083/case-007/explicit_02_page_007.png` | p.6, Fig.7 | figure | +| `task3:fred-westling__4e51465083:case-007` | `CASE-007` | `assets/images/fred-westling__4e51465083/case-007/explicit_03_page_017.png` | p.6, Fig.7 | figure | +| `task3:fred-westling__4e51465083:case-007` | `CASE-007` | `assets/images/fred-westling__4e51465083/case-007/explicit_04_page_017.png` | p.6, Fig.7 | figure | +| `task3:fred-westling__4e51465083:case-008` | `CASE-008` | `assets/images/fred-westling__4e51465083/case-008/explicit_01_page_010.png` | p.7, Fig 10 | figure | +| `task3:fred-westling__4e51465083:case-008` | `CASE-008` | `assets/images/fred-westling__4e51465083/case-008/explicit_02_page_010.png` | p.7, Fig 10 | figure | +| `task3:fred-westling__4e51465083:case-008` | `CASE-008` | `assets/images/fred-westling__4e51465083/case-008/explicit_03_page_007.png` | p.7, Fig 10 | figure | +| `task3:fred-westling__4e51465083:case-008` | `CASE-008` | `assets/images/fred-westling__4e51465083/case-008/explicit_04_page_007.png` | p.7, Fig 10 | figure | +| `task3:fred-westling__4e51465083:case-009` | `CASE-009` | `assets/images/fred-westling__4e51465083/case-009/explicit_01_page_011.png` | p.11 | page | +| `task3:fred-westling__4e51465083:case-009` | `CASE-009` | `assets/images/fred-westling__4e51465083/case-009/explicit_02_page_011.png` | p.11 | page | +| `task3:fred-westling__4e51465083:case-009` | `CASE-009` | `assets/images/fred-westling__4e51465083/case-009/explicit_03_page_000.png` | p.11 | page | +| `task3:fred-westling__4e51465083:case-009` | `CASE-009` | `assets/images/fred-westling__4e51465083/case-009/explicit_04_page_000.png` | p.11 | page | +| `task3:fred-westling__4e51465083:case-010` | `CASE-010` | `assets/images/fred-westling__4e51465083/case-010/explicit_01_page_013.png` | p.9, Fig 13 | figure | +| `task3:fred-westling__4e51465083:case-010` | `CASE-010` | `assets/images/fred-westling__4e51465083/case-010/explicit_02_page_013.png` | p.9, Fig 13 | figure | +| `task3:fred-westling__4e51465083:case-010` | `CASE-010` | `assets/images/fred-westling__4e51465083/case-010/explicit_03_page_009.png` | p.9, Fig 13 | figure | +| `task3:fred-westling__4e51465083:case-010` | `CASE-010` | `assets/images/fred-westling__4e51465083/case-010/explicit_04_page_009.png` | p.9, Fig 13 | figure | +| `task3:fred-westling__4e51465083:case-011` | `CASE-011` | `assets/images/fred-westling__4e51465083/case-011/explicit_01_page_008.png` | p.8, table.2 | table | +| `task3:fred-westling__4e51465083:case-011` | `CASE-011` | `assets/images/fred-westling__4e51465083/case-011/explicit_02_page_008.png` | p.8, table.2 | table | +| `task3:fred-westling__4e51465083:case-011` | `CASE-011` | `assets/images/fred-westling__4e51465083/case-011/explicit_03_page_000.png` | p.8, table.2 | table | +| `task3:fred-westling__4e51465083:case-011` | `CASE-011` | `assets/images/fred-westling__4e51465083/case-011/explicit_04_page_000.png` | p.8, table.2 | table | +| `task3:fred-westling__4e51465083:case-012` | `CASE-012` | `assets/images/fred-westling__4e51465083/case-012/explicit_01_page_003.png` | p.3, Fig.3 | figure | +| `task3:fred-westling__4e51465083:case-012` | `CASE-012` | `assets/images/fred-westling__4e51465083/case-012/explicit_02_page_003.png` | p.3, Fig.3 | figure | +| `task3:fred-westling__4e51465083:case-012` | `CASE-012` | `assets/images/fred-westling__4e51465083/case-012/explicit_03_page_003.png` | p.3, Fig.3 | figure | +| `task3:fred-westling__4e51465083:case-012` | `CASE-012` | `assets/images/fred-westling__4e51465083/case-012/explicit_04_page_003.png` | p.3, Fig.3 | figure | + +## https://arxiv.org/abs/2112.00849 + +- Ссылка на статью: https://arxiv.org/abs/2112.00849 +- Название: Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition +- Идентификаторы: arXiv:2112.00849 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-012` | `CASE-012` | `assets/images/cherbaev__iris_retina_modern_ab/case-012/explicit_01_page_000.png` | Введение, описание мотивации forensic-приложения (текст) | page | +| `task3:cherbaev__iris_retina_modern_ab:case-012` | `CASE-012` | `assets/images/cherbaev__iris_retina_modern_ab/case-012/explicit_02_page_000.png` | Введение, описание мотивации forensic-приложения (текст) | page | +| `task3:cherbaev__iris_retina_modern_ab:case-012` | `CASE-012` | `assets/images/cherbaev__iris_retina_modern_ab/case-012/explicit_03_page_000.png` | Введение, описание мотивации forensic-приложения (текст) | page | +| `task3:cherbaev__iris_retina_modern_ab:case-012` | `CASE-012` | `assets/images/cherbaev__iris_retina_modern_ab/case-012/explicit_04_page_000.png` | Введение, описание мотивации forensic-приложения (текст) | page | + +## https://arxiv.org/abs/2112.07945 + +- Ссылка на статью: https://arxiv.org/abs/2112.07945 +- Название: Efficient Geometry-aware 3D Generative Adversarial Networks +- Идентификаторы: arxiv:2112.07945 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:df07798d94:case-003` | `CASE-003` | `assets/images/df07798d94/case-003/explicit_01_page_001.png` | Table 1 | table | +| `task3:df07798d94:case-003` | `CASE-003` | `assets/images/df07798d94/case-003/explicit_02_page_001.png` | Table 1 | table | +| `task3:df07798d94:case-003` | `CASE-003` | `assets/images/df07798d94/case-003/explicit_03_page_001.png` | Table 1 | table | +| `task3:df07798d94:case-003` | `CASE-003` | `assets/images/df07798d94/case-003/explicit_04_page_001.png` | Table 1 | table | + +## https://arxiv.org/abs/2303.08514 + +- Ссылка на статью: https://arxiv.org/abs/2303.08514 +- Название: Deep Learning for Iris Recognition: A Review +- Идентификаторы: arXiv:2303.08514 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-002` | `CASE-002` | `assets/images/cherbaev__iris_retina_modern_ab/case-002/explicit_01_page_000.png` | Figure с архитектурной диаграммой CNN-сегментатора (раздел 4) и таблица датасетов | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-002` | `CASE-002` | `assets/images/cherbaev__iris_retina_modern_ab/case-002/explicit_02_page_000.png` | Figure с архитектурной диаграммой CNN-сегментатора (раздел 4) и таблица датасетов | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-002` | `CASE-002` | `assets/images/cherbaev__iris_retina_modern_ab/case-002/explicit_03_page_000.png` | Figure с архитектурной диаграммой CNN-сегментатора (раздел 4) и таблица датасетов | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-002` | `CASE-002` | `assets/images/cherbaev__iris_retina_modern_ab/case-002/explicit_04_page_000.png` | Figure с архитектурной диаграммой CNN-сегментатора (раздел 4) и таблица датасетов | figure | + +## https://arxiv.org/abs/2303.09679 + +- Ссылка на статью: https://arxiv.org/abs/2303.09679 +- Название: Segmentation of Retinal Blood Vessels Using Deep Learning +- Идентификаторы: arXiv:2303.09679 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-005` | `CASE-005` | `assets/images/cherbaev__iris_retina_modern_ab/case-005/explicit_01_page_000.png` | Таблица с метриками (Accuracy, Sensitivity, Specificity, F1) для UNet, DR-VNet, UNet-ResNet, UNet-VGG; качественные примеры сегментации сосудов | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-005` | `CASE-005` | `assets/images/cherbaev__iris_retina_modern_ab/case-005/explicit_02_page_000.png` | Таблица с метриками (Accuracy, Sensitivity, Specificity, F1) для UNet, DR-VNet, UNet-ResNet, UNet-VGG; качественные примеры сегментации сосудов | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-005` | `CASE-005` | `assets/images/cherbaev__iris_retina_modern_ab/case-005/explicit_03_page_000.png` | Таблица с метриками (Accuracy, Sensitivity, Specificity, F1) для UNet, DR-VNet, UNet-ResNet, UNet-VGG; качественные примеры сегментации сосудов | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-005` | `CASE-005` | `assets/images/cherbaev__iris_retina_modern_ab/case-005/explicit_04_page_000.png` | Таблица с метриками (Accuracy, Sensitivity, Specificity, F1) для UNet, DR-VNet, UNet-ResNet, UNet-VGG; качественные примеры сегментации сосудов | figure_or_table | + +## https://arxiv.org/abs/2303.12720 + +- Ссылка на статью: https://arxiv.org/abs/2303.12720 +- Название: Longitudinal Performance of Iris Recognition in Children: Time Intervals up to Six years +- Идентификаторы: arXiv:2303.12720 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-010` | `CASE-010` | `assets/images/cherbaev__iris_retina_modern_ab/case-010/explicit_01_page_000.png` | Таблица или график match scores по 6 сессиям за 6.5 лет, 209 субъектов (4–11 лет на enrollment) | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-010` | `CASE-010` | `assets/images/cherbaev__iris_retina_modern_ab/case-010/explicit_02_page_000.png` | Таблица или график match scores по 6 сессиям за 6.5 лет, 209 субъектов (4–11 лет на enrollment) | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-010` | `CASE-010` | `assets/images/cherbaev__iris_retina_modern_ab/case-010/explicit_03_page_000.png` | Таблица или график match scores по 6 сессиям за 6.5 лет, 209 субъектов (4–11 лет на enrollment) | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-010` | `CASE-010` | `assets/images/cherbaev__iris_retina_modern_ab/case-010/explicit_04_page_000.png` | Таблица или график match scores по 6 сессиям за 6.5 лет, 209 субъектов (4–11 лет на enrollment) | figure_or_table | + +## https://arxiv.org/abs/2305.16432 + +- Ссылка на статью: https://arxiv.org/abs/2305.16432 +- Название: Optimization Methods in Deep Learning: A Comprehensive Overview +- Идентификаторы: arxiv:2305.16432 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-011` | `CASE-011` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-011/explicit_01_page_012.png` | Tab. 1,2, Fig. 2, 5 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-011` | `CASE-011` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-011/explicit_02_page_012.png` | Tab. 1,2, Fig. 2, 5 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-011` | `CASE-011` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-011/explicit_03_page_001.png` | Tab. 1,2, Fig. 2, 5 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-011` | `CASE-011` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-011/explicit_04_page_001.png` | Tab. 1,2, Fig. 2, 5 | figure_or_table | + +## https://arxiv.org/abs/2306.06116 + +- Ссылка на статью: https://arxiv.org/abs/2306.06116 +- Название: Overview of Deep Learning Methods for Retinal Vessel Segmentation +- Идентификаторы: arXiv:2306.06116 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-011` | `CASE-011` | `assets/images/cherbaev__iris_retina_modern_ab/case-011/explicit_01_page_000.png` | Введение и section 2 (общая систематика методов) — преимущественно текст | page | +| `task3:cherbaev__iris_retina_modern_ab:case-011` | `CASE-011` | `assets/images/cherbaev__iris_retina_modern_ab/case-011/explicit_02_page_000.png` | Введение и section 2 (общая систематика методов) — преимущественно текст | page | +| `task3:cherbaev__iris_retina_modern_ab:case-011` | `CASE-011` | `assets/images/cherbaev__iris_retina_modern_ab/case-011/explicit_03_page_000.png` | Введение и section 2 (общая систематика методов) — преимущественно текст | page | +| `task3:cherbaev__iris_retina_modern_ab:case-011` | `CASE-011` | `assets/images/cherbaev__iris_retina_modern_ab/case-011/explicit_04_page_000.png` | Введение и section 2 (общая систематика методов) — преимущественно текст | page | + +## https://arxiv.org/abs/2306.06824 + +- Ссылка на статью: https://arxiv.org/abs/2306.06824 +- Название: SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking +- Идентификаторы: arXiv:2306.06824 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5ad3fe3294:case-004` | `CASE-004` | `assets/images/5ad3fe3294/case-004/explicit_01_page_003.png` | Fig. 3 | figure | +| `task3:5ad3fe3294:case-004` | `CASE-004` | `assets/images/5ad3fe3294/case-004/explicit_02_page_003.png` | Fig. 3 | figure | +| `task3:5ad3fe3294:case-004` | `CASE-004` | `assets/images/5ad3fe3294/case-004/explicit_03_page_003.png` | Fig. 3 | figure | +| `task3:5ad3fe3294:case-004` | `CASE-004` | `assets/images/5ad3fe3294/case-004/explicit_04_page_003.png` | Fig. 3 | figure | +| `task3:5ad3fe3294:case-005` | `CASE-005` | `assets/images/5ad3fe3294/case-005/explicit_01_page_004.png` | Fig. 4 | figure | +| `task3:5ad3fe3294:case-005` | `CASE-005` | `assets/images/5ad3fe3294/case-005/explicit_02_page_004.png` | Fig. 4 | figure | +| `task3:5ad3fe3294:case-005` | `CASE-005` | `assets/images/5ad3fe3294/case-005/explicit_03_page_004.png` | Fig. 4 | figure | +| `task3:5ad3fe3294:case-005` | `CASE-005` | `assets/images/5ad3fe3294/case-005/explicit_04_page_004.png` | Fig. 4 | figure | +| `task3:5ad3fe3294:case-006` | `CASE-006` | `assets/images/5ad3fe3294/case-006/explicit_01_page_001.png` | p.1 | page | +| `task3:5ad3fe3294:case-006` | `CASE-006` | `assets/images/5ad3fe3294/case-006/explicit_02_page_001.png` | p.1 | page | +| `task3:5ad3fe3294:case-006` | `CASE-006` | `assets/images/5ad3fe3294/case-006/explicit_03_page_001.png` | p.1 | page | +| `task3:5ad3fe3294:case-006` | `CASE-006` | `assets/images/5ad3fe3294/case-006/explicit_04_page_001.png` | p.1 | page | + +## https://arxiv.org/abs/2308.04118v1 + +- Ссылка на статью: https://arxiv.org/abs/2308.04118v1 +- Название: Multimodal Color Recommendation in Vector Graphic Documents +- Идентификаторы: arXiv:2308.04118v1 +- Использовано изображений/страниц: 48 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:39bb2db9c5:case-001` | `CASE-001` | `assets/images/39bb2db9c5/case-001/explicit_01_page_001.png` | Fig.1 (page 1) | figure | +| `task3:39bb2db9c5:case-001` | `CASE-001` | `assets/images/39bb2db9c5/case-001/explicit_02_page_001.png` | Fig.1 (page 1) | figure | +| `task3:39bb2db9c5:case-001` | `CASE-001` | `assets/images/39bb2db9c5/case-001/explicit_03_page_001.png` | Fig.1 (page 1) | figure | +| `task3:39bb2db9c5:case-001` | `CASE-001` | `assets/images/39bb2db9c5/case-001/explicit_04_page_001.png` | Fig.1 (page 1) | figure | +| `task3:39bb2db9c5:case-002` | `CASE-002` | `assets/images/39bb2db9c5/case-002/explicit_01_page_014.png` | Table 1 (page 5) + Figure 4 (page 5, panels a/b/c) | figure_or_table | +| `task3:39bb2db9c5:case-002` | `CASE-002` | `assets/images/39bb2db9c5/case-002/explicit_02_page_014.png` | Table 1 (page 5) + Figure 4 (page 5, panels a/b/c) | figure_or_table | +| `task3:39bb2db9c5:case-002` | `CASE-002` | `assets/images/39bb2db9c5/case-002/explicit_03_page_001.png` | Table 1 (page 5) + Figure 4 (page 5, panels a/b/c) | figure_or_table | +| `task3:39bb2db9c5:case-002` | `CASE-002` | `assets/images/39bb2db9c5/case-002/explicit_04_page_001.png` | Table 1 (page 5) + Figure 4 (page 5, panels a/b/c) | figure_or_table | +| `task3:39bb2db9c5:case-003` | `CASE-003` | `assets/images/39bb2db9c5/case-003/explicit_01_page_003.png` | Table 3 (page 6) | table | +| `task3:39bb2db9c5:case-003` | `CASE-003` | `assets/images/39bb2db9c5/case-003/explicit_02_page_003.png` | Table 3 (page 6) | table | +| `task3:39bb2db9c5:case-003` | `CASE-003` | `assets/images/39bb2db9c5/case-003/explicit_03_page_003.png` | Table 3 (page 6) | table | +| `task3:39bb2db9c5:case-003` | `CASE-003` | `assets/images/39bb2db9c5/case-003/explicit_04_page_003.png` | Table 3 (page 6) | table | +| `task3:39bb2db9c5:case-004` | `CASE-004` | `assets/images/39bb2db9c5/case-004/explicit_01_page_005.png` | Fig.5 (page 5, первый пример — wedding party) | figure | +| `task3:39bb2db9c5:case-004` | `CASE-004` | `assets/images/39bb2db9c5/case-004/explicit_02_page_005.png` | Fig.5 (page 5, первый пример — wedding party) | figure | +| `task3:39bb2db9c5:case-004` | `CASE-004` | `assets/images/39bb2db9c5/case-004/explicit_03_page_005.png` | Fig.5 (page 5, первый пример — wedding party) | figure | +| `task3:39bb2db9c5:case-004` | `CASE-004` | `assets/images/39bb2db9c5/case-004/explicit_04_page_005.png` | Fig.5 (page 5, первый пример — wedding party) | figure | +| `task3:39bb2db9c5:case-005` | `CASE-005` | `assets/images/39bb2db9c5/case-005/explicit_01_page_002.png` | Table 2 (page 6, ablation study) + раздел 3.1 (pages 2–3) | table | +| `task3:39bb2db9c5:case-005` | `CASE-005` | `assets/images/39bb2db9c5/case-005/explicit_02_page_002.png` | Table 2 (page 6, ablation study) + раздел 3.1 (pages 2–3) | table | +| `task3:39bb2db9c5:case-005` | `CASE-005` | `assets/images/39bb2db9c5/case-005/explicit_03_page_002.png` | Table 2 (page 6, ablation study) + раздел 3.1 (pages 2–3) | table | +| `task3:39bb2db9c5:case-005` | `CASE-005` | `assets/images/39bb2db9c5/case-005/explicit_04_page_002.png` | Table 2 (page 6, ablation study) + раздел 3.1 (pages 2–3) | table | +| `task3:39bb2db9c5:case-006` | `CASE-006` | `assets/images/39bb2db9c5/case-006/explicit_01_page_006.png` | Fig.6, Fig.7, Fig.8, Fig.9 (pages 5–6, user study) | figure | +| `task3:39bb2db9c5:case-006` | `CASE-006` | `assets/images/39bb2db9c5/case-006/explicit_02_page_006.png` | Fig.6, Fig.7, Fig.8, Fig.9 (pages 5–6, user study) | figure | +| `task3:39bb2db9c5:case-006` | `CASE-006` | `assets/images/39bb2db9c5/case-006/explicit_03_page_007.png` | Fig.6, Fig.7, Fig.8, Fig.9 (pages 5–6, user study) | figure | +| `task3:39bb2db9c5:case-006` | `CASE-006` | `assets/images/39bb2db9c5/case-006/explicit_04_page_007.png` | Fig.6, Fig.7, Fig.8, Fig.9 (pages 5–6, user study) | figure | +| `task3:39bb2db9c5:case-007` | `CASE-007` | `assets/images/39bb2db9c5/case-007/explicit_01_page_004.png` | Table 4 (page 6) + раздел 3.2 (pages 3–4) | table | +| `task3:39bb2db9c5:case-007` | `CASE-007` | `assets/images/39bb2db9c5/case-007/explicit_02_page_004.png` | Table 4 (page 6) + раздел 3.2 (pages 3–4) | table | +| `task3:39bb2db9c5:case-007` | `CASE-007` | `assets/images/39bb2db9c5/case-007/explicit_03_page_004.png` | Table 4 (page 6) + раздел 3.2 (pages 3–4) | table | +| `task3:39bb2db9c5:case-007` | `CASE-007` | `assets/images/39bb2db9c5/case-007/explicit_04_page_004.png` | Table 4 (page 6) + раздел 3.2 (pages 3–4) | table | +| `task3:39bb2db9c5:case-008` | `CASE-008` | `assets/images/39bb2db9c5/case-008/explicit_01_page_010.png` | Fig.10 (page 6) + раздел 4.5 (page 6) | figure | +| `task3:39bb2db9c5:case-008` | `CASE-008` | `assets/images/39bb2db9c5/case-008/explicit_02_page_010.png` | Fig.10 (page 6) + раздел 4.5 (page 6) | figure | +| `task3:39bb2db9c5:case-008` | `CASE-008` | `assets/images/39bb2db9c5/case-008/explicit_03_page_006.png` | Fig.10 (page 6) + раздел 4.5 (page 6) | figure | +| `task3:39bb2db9c5:case-008` | `CASE-008` | `assets/images/39bb2db9c5/case-008/explicit_04_page_006.png` | Fig.10 (page 6) + раздел 4.5 (page 6) | figure | +| `task3:39bb2db9c5:case-009` | `CASE-009` | `assets/images/39bb2db9c5/case-009/explicit_01_page_002.png` | Fig.2 (page 3, "Extraction and representation processes") + раздел 3.2 (pages 3–4) | figure | +| `task3:39bb2db9c5:case-009` | `CASE-009` | `assets/images/39bb2db9c5/case-009/explicit_02_page_002.png` | Fig.2 (page 3, "Extraction and representation processes") + раздел 3.2 (pages 3–4) | figure | +| `task3:39bb2db9c5:case-009` | `CASE-009` | `assets/images/39bb2db9c5/case-009/explicit_03_page_002.png` | Fig.2 (page 3, "Extraction and representation processes") + раздел 3.2 (pages 3–4) | figure | +| `task3:39bb2db9c5:case-009` | `CASE-009` | `assets/images/39bb2db9c5/case-009/explicit_04_page_002.png` | Fig.2 (page 3, "Extraction and representation processes") + раздел 3.2 (pages 3–4) | figure | +| `task3:39bb2db9c5:case-010` | `CASE-010` | `assets/images/39bb2db9c5/case-010/explicit_01_page_000.png` | | figure_or_table | +| `task3:39bb2db9c5:case-010` | `CASE-010` | `assets/images/39bb2db9c5/case-010/explicit_02_page_000.png` | | figure_or_table | +| `task3:39bb2db9c5:case-010` | `CASE-010` | `assets/images/39bb2db9c5/case-010/explicit_03_page_000.png` | | figure_or_table | +| `task3:39bb2db9c5:case-010` | `CASE-010` | `assets/images/39bb2db9c5/case-010/explicit_04_page_000.png` | | figure_or_table | +| `task3:39bb2db9c5:case-011` | `CASE-011` | `assets/images/39bb2db9c5/case-011/explicit_01_page_002.png` | p.3, раздел 3 "APPROACH" + Figure 2 | page | +| `task3:39bb2db9c5:case-011` | `CASE-011` | `assets/images/39bb2db9c5/case-011/explicit_02_page_002.png` | p.3, раздел 3 "APPROACH" + Figure 2 | page | +| `task3:39bb2db9c5:case-011` | `CASE-011` | `assets/images/39bb2db9c5/case-011/explicit_03_page_002.png` | p.3, раздел 3 "APPROACH" + Figure 2 | page | +| `task3:39bb2db9c5:case-011` | `CASE-011` | `assets/images/39bb2db9c5/case-011/explicit_04_page_002.png` | p.3, раздел 3 "APPROACH" + Figure 2 | page | +| `task3:39bb2db9c5:case-012` | `CASE-012` | `assets/images/39bb2db9c5/case-012/explicit_01_page_001.png` | Table 1 заголовок (page 4) + раздел 4.1 (page 4) | table | +| `task3:39bb2db9c5:case-012` | `CASE-012` | `assets/images/39bb2db9c5/case-012/explicit_02_page_001.png` | Table 1 заголовок (page 4) + раздел 4.1 (page 4) | table | +| `task3:39bb2db9c5:case-012` | `CASE-012` | `assets/images/39bb2db9c5/case-012/explicit_03_page_001.png` | Table 1 заголовок (page 4) + раздел 4.1 (page 4) | table | +| `task3:39bb2db9c5:case-012` | `CASE-012` | `assets/images/39bb2db9c5/case-012/explicit_04_page_001.png` | Table 1 заголовок (page 4) + раздел 4.1 (page 4) | table | + +## https://arxiv.org/abs/2308.08155 + +- Ссылка на статью: https://arxiv.org/abs/2308.08155 +- Название: AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation +- Идентификаторы: arXiv:2308.08155 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:7d0aad0635:case-004` | `CASE-004` | `assets/images/7d0aad0635/case-004/explicit_01_page_004.png` | p.7, Fig.4 | figure | +| `task3:7d0aad0635:case-004` | `CASE-004` | `assets/images/7d0aad0635/case-004/explicit_02_page_004.png` | p.7, Fig.4 | figure | +| `task3:7d0aad0635:case-004` | `CASE-004` | `assets/images/7d0aad0635/case-004/explicit_03_page_004.png` | p.7, Fig.4 | figure | +| `task3:7d0aad0635:case-004` | `CASE-004` | `assets/images/7d0aad0635/case-004/explicit_04_page_004.png` | p.7, Fig.4 | figure | +| `task3:7d0aad0635:case-006` | `CASE-006` | `assets/images/7d0aad0635/case-006/explicit_01_page_014.png` | p.14 | page | +| `task3:7d0aad0635:case-006` | `CASE-006` | `assets/images/7d0aad0635/case-006/explicit_02_page_014.png` | p.14 | page | +| `task3:7d0aad0635:case-006` | `CASE-006` | `assets/images/7d0aad0635/case-006/explicit_03_page_000.png` | p.14 | page | +| `task3:7d0aad0635:case-006` | `CASE-006` | `assets/images/7d0aad0635/case-006/explicit_04_page_000.png` | p.14 | page | + +## https://arxiv.org/abs/2311.08077 + +- Ссылка на статью: https://arxiv.org/abs/2311.08077 +- Название: Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM) +- Идентификаторы: arXiv:2311.08077 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-004` | `CASE-004` | `assets/images/cherbaev__iris_retina_modern_ab/case-004/explicit_01_page_000.png` | Figure с примерами prompting strategies (point / box / multi-point) и качественной сегментацией pupil/iris/sclera | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-004` | `CASE-004` | `assets/images/cherbaev__iris_retina_modern_ab/case-004/explicit_02_page_000.png` | Figure с примерами prompting strategies (point / box / multi-point) и качественной сегментацией pupil/iris/sclera | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-004` | `CASE-004` | `assets/images/cherbaev__iris_retina_modern_ab/case-004/explicit_03_page_000.png` | Figure с примерами prompting strategies (point / box / multi-point) и качественной сегментацией pupil/iris/sclera | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-004` | `CASE-004` | `assets/images/cherbaev__iris_retina_modern_ab/case-004/explicit_04_page_000.png` | Figure с примерами prompting strategies (point / box / multi-point) и качественной сегментацией pupil/iris/sclera | figure | + +## https://arxiv.org/abs/2312.08914 + +- Ссылка на статью: https://arxiv.org/abs/2312.08914 +- Название: CogAgent: A Visual Language Model for GUI Agents +- Идентификаторы: arXiv:2312.08914 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-002` | `CASE-002` | `assets/images/998d6715e8/case-002/explicit_01_page_003.png` | p.8, Figure 3 | figure | +| `task3:998d6715e8:case-002` | `CASE-002` | `assets/images/998d6715e8/case-002/explicit_02_page_003.png` | p.8, Figure 3 | figure | +| `task3:998d6715e8:case-002` | `CASE-002` | `assets/images/998d6715e8/case-002/explicit_03_page_003.png` | p.8, Figure 3 | figure | +| `task3:998d6715e8:case-002` | `CASE-002` | `assets/images/998d6715e8/case-002/explicit_04_page_003.png` | p.8, Figure 3 | figure | + +## https://arxiv.org/abs/2312.13771 + +- Ссылка на статью: https://arxiv.org/abs/2312.13771 +- Название: AppAgent: Multimodal Agents as Smartphone Users +- Идентификаторы: arXiv:2312.13771 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-006` | `CASE-006` | `assets/images/998d6715e8/case-006/explicit_01_page_001.png` | p.7, Table 1 | table | +| `task3:998d6715e8:case-006` | `CASE-006` | `assets/images/998d6715e8/case-006/explicit_02_page_001.png` | p.7, Table 1 | table | +| `task3:998d6715e8:case-006` | `CASE-006` | `assets/images/998d6715e8/case-006/explicit_03_page_001.png` | p.7, Table 1 | table | +| `task3:998d6715e8:case-006` | `CASE-006` | `assets/images/998d6715e8/case-006/explicit_04_page_001.png` | p.7, Table 1 | table | + +## https://arxiv.org/abs/2401.10935 + +- Ссылка на статью: https://arxiv.org/abs/2401.10935 +- Название: SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents +- Идентификаторы: arXiv:2401.10935 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-003` | `CASE-003` | `assets/images/998d6715e8/case-003/explicit_01_page_001.png` | p. 9317, Table 1 | table | +| `task3:998d6715e8:case-003` | `CASE-003` | `assets/images/998d6715e8/case-003/explicit_02_page_001.png` | p. 9317, Table 1 | table | +| `task3:998d6715e8:case-003` | `CASE-003` | `assets/images/998d6715e8/case-003/explicit_03_page_001.png` | p. 9317, Table 1 | table | +| `task3:998d6715e8:case-003` | `CASE-003` | `assets/images/998d6715e8/case-003/explicit_04_page_001.png` | p. 9317, Table 1 | table | + +## https://arxiv.org/abs/2402.03496 + +- Ссылка на статью: https://arxiv.org/abs/2402.03496 +- Название: Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective +- Идентификаторы: arxiv:2402.03496 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-010` | `CASE-010` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-010/explicit_01_page_001.png` | Tab. 1, Fig.1, 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-010` | `CASE-010` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-010/explicit_02_page_001.png` | Tab. 1, Fig.1, 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-010` | `CASE-010` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-010/explicit_03_page_001.png` | Tab. 1, Fig.1, 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-010` | `CASE-010` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-010/explicit_04_page_001.png` | Tab. 1, Fig.1, 2 | figure_or_table | + +## https://arxiv.org/abs/2402.06497 + +- Ссылка на статью: https://arxiv.org/abs/2402.06497 +- Название: Iris-SAM: Iris Segmentation Using a Foundation Model +- Идентификаторы: arXiv:2402.06497 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-001` | `CASE-001` | `assets/images/cherbaev__iris_retina_modern_ab/case-001/explicit_01_page_002.png` | Table 2 (accuracy comparison) и Table 3 (loss function ablation) | table | +| `task3:cherbaev__iris_retina_modern_ab:case-001` | `CASE-001` | `assets/images/cherbaev__iris_retina_modern_ab/case-001/explicit_02_page_002.png` | Table 2 (accuracy comparison) и Table 3 (loss function ablation) | table | +| `task3:cherbaev__iris_retina_modern_ab:case-001` | `CASE-001` | `assets/images/cherbaev__iris_retina_modern_ab/case-001/explicit_03_page_002.png` | Table 2 (accuracy comparison) и Table 3 (loss function ablation) | table | +| `task3:cherbaev__iris_retina_modern_ab:case-001` | `CASE-001` | `assets/images/cherbaev__iris_retina_modern_ab/case-001/explicit_04_page_002.png` | Table 2 (accuracy comparison) и Table 3 (loss function ablation) | table | + +## https://arxiv.org/abs/2404.01714 + +- Ссылка на статью: https://arxiv.org/abs/2404.01714 +- Название: Adaptive Gradient Methods at the Edge of Stability +- Идентификаторы: arxiv:2404.01714 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-007` | `CASE-007` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-007/explicit_01_page_001.png` | Fig. 1, 2, 3, 4, 5, 6, 7, 8 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-007` | `CASE-007` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-007/explicit_02_page_001.png` | Fig. 1, 2, 3, 4, 5, 6, 7, 8 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-007` | `CASE-007` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-007/explicit_03_page_001.png` | Fig. 1, 2, 3, 4, 5, 6, 7, 8 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-007` | `CASE-007` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-007/explicit_04_page_001.png` | Fig. 1, 2, 3, 4, 5, 6, 7, 8 | figure | + +## https://arxiv.org/abs/2404.01864 + +- Ссылка на статью: https://arxiv.org/abs/2404.01864 +- Название: Adaptive Gradient Methods at the Edge of Stability +- Идентификаторы: arxiv:2404.01864 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-005` | `CASE-005` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-005/explicit_01_page_001.png` | fig. 1, 3, 6, 7 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-005` | `CASE-005` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-005/explicit_02_page_001.png` | fig. 1, 3, 6, 7 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-005` | `CASE-005` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-005/explicit_03_page_001.png` | fig. 1, 3, 6, 7 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-005` | `CASE-005` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-005/explicit_04_page_001.png` | fig. 1, 3, 6, 7 | figure | + +## https://arxiv.org/abs/2405.00873 + +- Ссылка на статью: https://arxiv.org/abs/2405.00873 +- Название: Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array +- Идентификаторы: arXiv:2405.00873 +- Использовано изображений/страниц: 48 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-001` | `CASE-001` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-001/explicit_01_page_001.png` | p.2, Fig.1 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-001` | `CASE-001` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-001/explicit_02_page_001.png` | p.2, Fig.1 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-001` | `CASE-001` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-001/explicit_03_page_001.png` | p.2, Fig.1 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-001` | `CASE-001` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-001/explicit_04_page_001.png` | p.2, Fig.1 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-002` | `CASE-002` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-002/explicit_01_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-002` | `CASE-002` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-002/explicit_02_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-002` | `CASE-002` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-002/explicit_03_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-002` | `CASE-002` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-002/explicit_04_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-003` | `CASE-003` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-003/explicit_01_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-003` | `CASE-003` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-003/explicit_02_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-003` | `CASE-003` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-003/explicit_03_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-003` | `CASE-003` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-003/explicit_04_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-004` | `CASE-004` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-004/explicit_01_page_003.png` | p.4, Fig.3 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-004` | `CASE-004` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-004/explicit_02_page_003.png` | p.4, Fig.3 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-004` | `CASE-004` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-004/explicit_03_page_003.png` | p.4, Fig.3 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-004` | `CASE-004` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-004/explicit_04_page_003.png` | p.4, Fig.3 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-005` | `CASE-005` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-005/explicit_01_page_004.png` | p.5, Fig.4 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-005` | `CASE-005` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-005/explicit_02_page_004.png` | p.5, Fig.4 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-005` | `CASE-005` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-005/explicit_03_page_004.png` | p.5, Fig.4 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-005` | `CASE-005` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-005/explicit_04_page_004.png` | p.5, Fig.4 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-006` | `CASE-006` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-006/explicit_01_page_005.png` | p.6, Fig.5 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-006` | `CASE-006` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-006/explicit_02_page_005.png` | p.6, Fig.5 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-006` | `CASE-006` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-006/explicit_03_page_005.png` | p.6, Fig.5 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-006` | `CASE-006` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-006/explicit_04_page_005.png` | p.6, Fig.5 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-007` | `CASE-007` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-007/explicit_01_page_005.png` | p.6, Fig.5 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-007` | `CASE-007` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-007/explicit_02_page_005.png` | p.6, Fig.5 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-007` | `CASE-007` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-007/explicit_03_page_005.png` | p.6, Fig.5 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-007` | `CASE-007` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-007/explicit_04_page_005.png` | p.6, Fig.5 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-008` | `CASE-008` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-008/explicit_01_page_000.png` | p.S4, p.S5, Fig.S1 | formula | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-008` | `CASE-008` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-008/explicit_02_page_000.png` | p.S4, p.S5, Fig.S1 | formula | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-008` | `CASE-008` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-008/explicit_03_page_000.png` | p.S4, p.S5, Fig.S1 | formula | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-008` | `CASE-008` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-008/explicit_04_page_000.png` | p.S4, p.S5, Fig.S1 | formula | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-009` | `CASE-009` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-009/explicit_01_page_001.png` | Fig. 1 | figure | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-009` | `CASE-009` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-009/explicit_02_page_001.png` | Fig. 1 | figure | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-009` | `CASE-009` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-009/explicit_03_page_001.png` | Fig. 1 | figure | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-009` | `CASE-009` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-009/explicit_04_page_001.png` | Fig. 1 | figure | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-010` | `CASE-010` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-010/explicit_01_page_001.png` | Fig.1, p.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-010` | `CASE-010` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-010/explicit_02_page_001.png` | Fig.1, p.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-010` | `CASE-010` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-010/explicit_03_page_001.png` | Fig.1, p.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-010` | `CASE-010` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-010/explicit_04_page_001.png` | Fig.1, p.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-011` | `CASE-011` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-011/explicit_01_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-011` | `CASE-011` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-011/explicit_02_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-011` | `CASE-011` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-011/explicit_03_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-011` | `CASE-011` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-011/explicit_04_page_002.png` | p.3, Fig.2 | mixed | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-012` | `CASE-012` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-012/explicit_01_page_004.png` | Fig.4 | figure | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-012` | `CASE-012` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-012/explicit_02_page_004.png` | Fig.4 | figure | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-012` | `CASE-012` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-012/explicit_03_page_004.png` | Fig.4 | figure | +| `task3:gorbunov-ivan-yurievich__0d769c50eb:case-012` | `CASE-012` | `assets/images/gorbunov-ivan-yurievich__0d769c50eb/case-012/explicit_04_page_004.png` | Fig.4 | figure | + +## https://arxiv.org/abs/2407.03037 + +- Ссылка на статью: https://arxiv.org/abs/2407.03037 +- Название: Vision-driven Automated Mobile GUI Testing via Multimodal Large Language Model +- Идентификаторы: arXiv:2407.03037 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-004` | `CASE-004` | `assets/images/998d6715e8/case-004/explicit_01_page_009.png` | p. 9, Table I | table | +| `task3:998d6715e8:case-004` | `CASE-004` | `assets/images/998d6715e8/case-004/explicit_02_page_009.png` | p. 9, Table I | table | +| `task3:998d6715e8:case-004` | `CASE-004` | `assets/images/998d6715e8/case-004/explicit_03_page_000.png` | p. 9, Table I | table | +| `task3:998d6715e8:case-004` | `CASE-004` | `assets/images/998d6715e8/case-004/explicit_04_page_000.png` | p. 9, Table I | table | + +## https://arxiv.org/abs/2407.09510 + +- Ссылка на статью: https://arxiv.org/abs/2407.09510 +- Название: 3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods +- Идентификаторы: arxiv:2407.09510 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:df07798d94:case-001` | `CASE-001` | `assets/images/df07798d94/case-001/explicit_01_page_001.png` | Figure 1 | figure | +| `task3:df07798d94:case-001` | `CASE-001` | `assets/images/df07798d94/case-001/explicit_02_page_001.png` | Figure 1 | figure | +| `task3:df07798d94:case-001` | `CASE-001` | `assets/images/df07798d94/case-001/explicit_03_page_001.png` | Figure 1 | figure | +| `task3:df07798d94:case-001` | `CASE-001` | `assets/images/df07798d94/case-001/explicit_04_page_001.png` | Figure 1 | figure | +| `task3:df07798d94:case-002` | `CASE-002` | `assets/images/df07798d94/case-002/explicit_01_page_002.png` | Figure 2 | figure | +| `task3:df07798d94:case-002` | `CASE-002` | `assets/images/df07798d94/case-002/explicit_02_page_002.png` | Figure 2 | figure | +| `task3:df07798d94:case-002` | `CASE-002` | `assets/images/df07798d94/case-002/explicit_03_page_002.png` | Figure 2 | figure | +| `task3:df07798d94:case-002` | `CASE-002` | `assets/images/df07798d94/case-002/explicit_04_page_002.png` | Figure 2 | figure | + +## https://arxiv.org/abs/2408.03448 + +- Ссылка на статью: https://arxiv.org/abs/2408.03448 +- Название: Post-Mortem Human Iris Segmentation Analysis with Deep Learning +- Идентификаторы: arXiv:2408.03448 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-007` | `CASE-007` | `assets/images/cherbaev__iris_retina_modern_ab/case-007/explicit_01_page_000.png` | Таблица результатов SegNet/DeepLabV3+ с разными backbones (VGG19, ResNet18/50, MobileNetv2, Xception, InceptionResNetv2); figures с примерами post-mortem-изображений | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-007` | `CASE-007` | `assets/images/cherbaev__iris_retina_modern_ab/case-007/explicit_02_page_000.png` | Таблица результатов SegNet/DeepLabV3+ с разными backbones (VGG19, ResNet18/50, MobileNetv2, Xception, InceptionResNetv2); figures с примерами post-mortem-изображений | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-007` | `CASE-007` | `assets/images/cherbaev__iris_retina_modern_ab/case-007/explicit_03_page_000.png` | Таблица результатов SegNet/DeepLabV3+ с разными backbones (VGG19, ResNet18/50, MobileNetv2, Xception, InceptionResNetv2); figures с примерами post-mortem-изображений | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-007` | `CASE-007` | `assets/images/cherbaev__iris_retina_modern_ab/case-007/explicit_04_page_000.png` | Таблица результатов SegNet/DeepLabV3+ с разными backbones (VGG19, ResNet18/50, MobileNetv2, Xception, InceptionResNetv2); figures с примерами post-mortem-изображений | figure_or_table | + +## https://arxiv.org/abs/2409.03137 + +- Ссылка на статью: https://arxiv.org/abs/2409.03137 +- Название: The AdEMAMix Optimizer: Better, Faster, Older +- Идентификаторы: arxiv:2409.03137 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-002` | `CASE-002` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-002/explicit_01_page_002.png` | fig. 2, 3, 6, Tab. 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-002` | `CASE-002` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-002/explicit_02_page_002.png` | fig. 2, 3, 6, Tab. 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-002` | `CASE-002` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-002/explicit_03_page_002.png` | fig. 2, 3, 6, Tab. 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-002` | `CASE-002` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-002/explicit_04_page_002.png` | fig. 2, 3, 6, Tab. 2 | figure_or_table | + +## https://arxiv.org/abs/2410.17881 + +- Ссылка на статью: https://arxiv.org/abs/2410.17881 +- Название: AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning +- Идентификаторы: arxiv:2410.17881 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-003` | `CASE-003` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-003/explicit_01_page_002.png` | fig. 3, Tab. 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-003` | `CASE-003` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-003/explicit_02_page_002.png` | fig. 3, Tab. 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-003` | `CASE-003` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-003/explicit_03_page_002.png` | fig. 3, Tab. 2 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-003` | `CASE-003` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-003/explicit_04_page_002.png` | fig. 3, Tab. 2 | figure_or_table | + +## https://arxiv.org/abs/2411.10438 + +- Ссылка на статью: https://arxiv.org/abs/2411.10438 +- Название: MARS: Unleashing the Power of Variance Reduction for Training Large Models +- Идентификаторы: arxiv:2411.10438 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-001` | `CASE-001` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-001/explicit_01_page_012.png` | fig. 2, Tab. 1, | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-001` | `CASE-001` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-001/explicit_02_page_012.png` | fig. 2, Tab. 1, | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-001` | `CASE-001` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-001/explicit_03_page_001.png` | fig. 2, Tab. 1, | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-001` | `CASE-001` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-001/explicit_04_page_001.png` | fig. 2, Tab. 1, | figure_or_table | + +## https://arxiv.org/abs/2412.00374 + +- Ссылка на статью: https://arxiv.org/abs/2412.00374 +- Название: Revisiting the Initial Steps in Adaptive Gradient Descent Optimization +- Идентификаторы: arxiv:2412.00374 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-006` | `CASE-006` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-006/explicit_01_page_001.png` | fig. 1, 2, 3 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-006` | `CASE-006` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-006/explicit_02_page_001.png` | fig. 1, 2, 3 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-006` | `CASE-006` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-006/explicit_03_page_001.png` | fig. 1, 2, 3 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-006` | `CASE-006` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-006/explicit_04_page_001.png` | fig. 1, 2, 3 | figure | + +## https://arxiv.org/abs/2412.00578 + +- Ссылка на статью: https://arxiv.org/abs/2412.00578 +- Название: Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives +- Идентификаторы: arxiv:2412.00578 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:df07798d94:case-004` | `CASE-004` | `assets/images/df07798d94/case-004/explicit_01_page_002.png` | Table 2 | table | +| `task3:df07798d94:case-004` | `CASE-004` | `assets/images/df07798d94/case-004/explicit_02_page_002.png` | Table 2 | table | +| `task3:df07798d94:case-004` | `CASE-004` | `assets/images/df07798d94/case-004/explicit_03_page_002.png` | Table 2 | table | +| `task3:df07798d94:case-004` | `CASE-004` | `assets/images/df07798d94/case-004/explicit_04_page_002.png` | Table 2 | table | + +## https://arxiv.org/abs/2412.04032 + +- Ссылка на статью: https://arxiv.org/abs/2412.04032 +- Название: A Survey of Advanced Gradient Methods in Machine Learning +- Идентификаторы: arxiv:2412.04032 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-012` | `CASE-012` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-012/explicit_01_page_001.png` | Fig. 1 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-012` | `CASE-012` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-012/explicit_02_page_001.png` | Fig. 1 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-012` | `CASE-012` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-012/explicit_03_page_001.png` | Fig. 1 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-012` | `CASE-012` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-012/explicit_04_page_001.png` | Fig. 1 | figure | + +## https://arxiv.org/abs/2412.19444 + +- Ссылка на статью: https://arxiv.org/abs/2412.19444 +- Название: Towards Simple and Provable Parameter-Free Adaptive Gradient Methods +- Идентификаторы: arxiv:2412.19444 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-009` | `CASE-009` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-009/explicit_01_page_001.png` | Fig. 1, 2 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-009` | `CASE-009` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-009/explicit_02_page_001.png` | Fig. 1, 2 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-009` | `CASE-009` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-009/explicit_03_page_001.png` | Fig. 1, 2 | figure | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-009` | `CASE-009` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-009/explicit_04_page_001.png` | Fig. 1, 2 | figure | + +## https://arxiv.org/abs/2501.06312 + +- Ссылка на статью: https://arxiv.org/abs/2501.06312 +- Название: Towards Iris Presentation Attack Detection with Foundation Models +- Идентификаторы: arXiv:2501.06312 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-006` | `CASE-006` | `assets/images/cherbaev__iris_retina_modern_ab/case-006/explicit_01_page_000.png` | Таблица BPCER/APCER для разных foundation-моделей (CLIP, DINOv2, SAM-based) на LivDet-Iris 2023 | table | +| `task3:cherbaev__iris_retina_modern_ab:case-006` | `CASE-006` | `assets/images/cherbaev__iris_retina_modern_ab/case-006/explicit_02_page_000.png` | Таблица BPCER/APCER для разных foundation-моделей (CLIP, DINOv2, SAM-based) на LivDet-Iris 2023 | table | +| `task3:cherbaev__iris_retina_modern_ab:case-006` | `CASE-006` | `assets/images/cherbaev__iris_retina_modern_ab/case-006/explicit_03_page_000.png` | Таблица BPCER/APCER для разных foundation-моделей (CLIP, DINOv2, SAM-based) на LivDet-Iris 2023 | table | +| `task3:cherbaev__iris_retina_modern_ab:case-006` | `CASE-006` | `assets/images/cherbaev__iris_retina_modern_ab/case-006/explicit_04_page_000.png` | Таблица BPCER/APCER для разных foundation-моделей (CLIP, DINOv2, SAM-based) на LivDet-Iris 2023 | table | + +## https://arxiv.org/abs/2501.12326 + +- Ссылка на статью: https://arxiv.org/abs/2501.12326 +- Название: UI-TARS: Pioneering Automated GUI Interaction with Native Agents +- Идентификаторы: arXiv:2501.12326 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-001` | `CASE-001` | `assets/images/998d6715e8/case-001/explicit_01_page_008.png` | p. 27, Figure 8 | figure | +| `task3:998d6715e8:case-001` | `CASE-001` | `assets/images/998d6715e8/case-001/explicit_02_page_008.png` | p. 27, Figure 8 | figure | +| `task3:998d6715e8:case-001` | `CASE-001` | `assets/images/998d6715e8/case-001/explicit_03_page_018.png` | p. 27, Figure 8 | figure | +| `task3:998d6715e8:case-001` | `CASE-001` | `assets/images/998d6715e8/case-001/explicit_04_page_018.png` | p. 27, Figure 8 | figure | + +## https://arxiv.org/abs/2503.05378 + +- Ссылка на статью: https://arxiv.org/abs/2503.05378 +- Название: A Survey on Web Testing: On the Rise of AI and Applications in Industry +- Идентификаторы: arXiv:2503.05378 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-010` | `CASE-010` | `assets/images/998d6715e8/case-010/explicit_01_page_003.png` | p.38, Fig.3 | figure_or_table | +| `task3:998d6715e8:case-010` | `CASE-010` | `assets/images/998d6715e8/case-010/explicit_02_page_003.png` | p.38, Fig.3 | figure_or_table | +| `task3:998d6715e8:case-010` | `CASE-010` | `assets/images/998d6715e8/case-010/explicit_03_page_003.png` | p.38, Fig.3 | figure_or_table | +| `task3:998d6715e8:case-010` | `CASE-010` | `assets/images/998d6715e8/case-010/explicit_04_page_003.png` | p.38, Fig.3 | figure_or_table | + +## https://arxiv.org/abs/2504.11675 + +- Ссылка на статью: https://arxiv.org/abs/2504.11675 +- Название: VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps +- Идентификаторы: arXiv:2504.11675 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-005` | `CASE-005` | `assets/images/998d6715e8/case-005/explicit_01_page_009.png` | p.18, Fig. 9 | mixed | +| `task3:998d6715e8:case-005` | `CASE-005` | `assets/images/998d6715e8/case-005/explicit_02_page_009.png` | p.18, Fig. 9 | mixed | +| `task3:998d6715e8:case-005` | `CASE-005` | `assets/images/998d6715e8/case-005/explicit_03_page_019.png` | p.18, Fig. 9 | mixed | +| `task3:998d6715e8:case-005` | `CASE-005` | `assets/images/998d6715e8/case-005/explicit_04_page_019.png` | p.18, Fig. 9 | mixed | + +## https://arxiv.org/abs/2504.13865 + +- Ссылка на статью: https://arxiv.org/abs/2504.13865 +- Название: A Survey on (M)LLM-Based GUI Agents +- Идентификаторы: arXiv:2504.13865 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-008` | `CASE-008` | `assets/images/998d6715e8/case-008/explicit_01_page_017.png` | p. 17, Table 1 | table | +| `task3:998d6715e8:case-008` | `CASE-008` | `assets/images/998d6715e8/case-008/explicit_02_page_017.png` | p. 17, Table 1 | table | +| `task3:998d6715e8:case-008` | `CASE-008` | `assets/images/998d6715e8/case-008/explicit_03_page_001.png` | p. 17, Table 1 | table | +| `task3:998d6715e8:case-008` | `CASE-008` | `assets/images/998d6715e8/case-008/explicit_04_page_001.png` | p. 17, Table 1 | table | + +## https://arxiv.org/abs/2505.15952 + +- Ссылка на статью: https://arxiv.org/abs/2505.15952 +- Название: VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance +- Идентификаторы: arXiv:2505.15952 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-007` | `CASE-007` | `assets/images/998d6715e8/case-007/explicit_01_page_002.png` | p.5, Table 2 | table | +| `task3:998d6715e8:case-007` | `CASE-007` | `assets/images/998d6715e8/case-007/explicit_02_page_002.png` | p.5, Table 2 | table | +| `task3:998d6715e8:case-007` | `CASE-007` | `assets/images/998d6715e8/case-007/explicit_03_page_002.png` | p.5, Table 2 | table | +| `task3:998d6715e8:case-007` | `CASE-007` | `assets/images/998d6715e8/case-007/explicit_04_page_002.png` | p.5, Table 2 | table | + +## https://arxiv.org/abs/2506.05079 + +- Ссылка на статью: https://arxiv.org/abs/2506.05079 +- Название: LLM-Guided Scenario-based GUI Testing +- Идентификаторы: arXiv:2506.05079 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-011` | `CASE-011` | `assets/images/998d6715e8/case-011/explicit_01_page_000.png` | p. 24, Section 5 "Threats to Validity" | page | +| `task3:998d6715e8:case-011` | `CASE-011` | `assets/images/998d6715e8/case-011/explicit_02_page_000.png` | p. 24, Section 5 "Threats to Validity" | page | +| `task3:998d6715e8:case-011` | `CASE-011` | `assets/images/998d6715e8/case-011/explicit_03_page_000.png` | p. 24, Section 5 "Threats to Validity" | page | +| `task3:998d6715e8:case-011` | `CASE-011` | `assets/images/998d6715e8/case-011/explicit_04_page_000.png` | p. 24, Section 5 "Threats to Validity" | page | + +## https://arxiv.org/abs/2509.23166 + +- Ссылка на статью: https://arxiv.org/abs/2509.23166 +- Название: Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs +- Идентификаторы: arXiv:2509.23166 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-009` | `CASE-009` | `assets/images/998d6715e8/case-009/explicit_01_page_006.png` | p. 28, Figure 6 | figure | +| `task3:998d6715e8:case-009` | `CASE-009` | `assets/images/998d6715e8/case-009/explicit_02_page_006.png` | p. 28, Figure 6 | figure | +| `task3:998d6715e8:case-009` | `CASE-009` | `assets/images/998d6715e8/case-009/explicit_03_page_016.png` | p. 28, Figure 6 | figure | +| `task3:998d6715e8:case-009` | `CASE-009` | `assets/images/998d6715e8/case-009/explicit_04_page_016.png` | p. 28, Figure 6 | figure | + +## https://arxiv.org/abs/2512.15543 + +- Ссылка на статью: https://arxiv.org/abs/2512.15543 +- Название: Nine Years of Pediatric Iris Recognition: Evidence for Biometric Permanence +- Идентификаторы: arXiv:2512.15543 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-008` | `CASE-008` | `assets/images/cherbaev__iris_retina_modern_ab/case-008/explicit_01_page_000.png` | Figure с динамикой match scores по годам у одних и тех же 230 детей (4–17 лет), 9-летний интервал | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-008` | `CASE-008` | `assets/images/cherbaev__iris_retina_modern_ab/case-008/explicit_02_page_000.png` | Figure с динамикой match scores по годам у одних и тех же 230 детей (4–17 лет), 9-летний интервал | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-008` | `CASE-008` | `assets/images/cherbaev__iris_retina_modern_ab/case-008/explicit_03_page_000.png` | Figure с динамикой match scores по годам у одних и тех же 230 детей (4–17 лет), 9-летний интервал | figure | +| `task3:cherbaev__iris_retina_modern_ab:case-008` | `CASE-008` | `assets/images/cherbaev__iris_retina_modern_ab/case-008/explicit_04_page_000.png` | Figure с динамикой match scores по годам у одних и тех же 230 детей (4–17 лет), 9-летний интервал | figure | + +## https://arxiv.org/abs/2601.12815 + +- Ссылка на статью: https://arxiv.org/abs/2601.12815 +- Название: Multimodal Multi-Agent Empowered Legal Judgment Prediction +- Идентификаторы: arXiv:2601.12815 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:7d0aad0635:case-003` | `CASE-003` | `assets/images/7d0aad0635/case-003/explicit_01_page_001.png` | p.4, Table 1 | table | +| `task3:7d0aad0635:case-003` | `CASE-003` | `assets/images/7d0aad0635/case-003/explicit_02_page_001.png` | p.4, Table 1 | table | +| `task3:7d0aad0635:case-003` | `CASE-003` | `assets/images/7d0aad0635/case-003/explicit_03_page_001.png` | p.4, Table 1 | table | +| `task3:7d0aad0635:case-003` | `CASE-003` | `assets/images/7d0aad0635/case-003/explicit_04_page_001.png` | p.4, Table 1 | table | +| `task3:7d0aad0635:case-005` | `CASE-005` | `assets/images/7d0aad0635/case-005/explicit_01_page_002.png` | p.4, Table 2 | table | +| `task3:7d0aad0635:case-005` | `CASE-005` | `assets/images/7d0aad0635/case-005/explicit_02_page_002.png` | p.4, Table 2 | table | +| `task3:7d0aad0635:case-005` | `CASE-005` | `assets/images/7d0aad0635/case-005/explicit_03_page_002.png` | p.4, Table 2 | table | +| `task3:7d0aad0635:case-005` | `CASE-005` | `assets/images/7d0aad0635/case-005/explicit_04_page_002.png` | p.4, Table 2 | table | + +## https://arxiv.org/abs/2601.18642 + +- Ссылка на статью: https://arxiv.org/abs/2601.18642 +- Название: FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory +- Идентификаторы: arXiv:2601.18642 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:7d0aad0635:case-001` | `CASE-001` | `assets/images/7d0aad0635/case-001/explicit_01_page_002.png` | p.4, Fig.2 | figure | +| `task3:7d0aad0635:case-001` | `CASE-001` | `assets/images/7d0aad0635/case-001/explicit_02_page_002.png` | p.4, Fig.2 | figure | +| `task3:7d0aad0635:case-001` | `CASE-001` | `assets/images/7d0aad0635/case-001/explicit_03_page_002.png` | p.4, Fig.2 | figure | +| `task3:7d0aad0635:case-001` | `CASE-001` | `assets/images/7d0aad0635/case-001/explicit_04_page_002.png` | p.4, Fig.2 | figure | +| `task3:7d0aad0635:case-002` | `CASE-002` | `assets/images/7d0aad0635/case-002/explicit_01_page_001.png` | p.4, Table 1 | table | +| `task3:7d0aad0635:case-002` | `CASE-002` | `assets/images/7d0aad0635/case-002/explicit_02_page_001.png` | p.4, Table 1 | table | +| `task3:7d0aad0635:case-002` | `CASE-002` | `assets/images/7d0aad0635/case-002/explicit_03_page_001.png` | p.4, Table 1 | table | +| `task3:7d0aad0635:case-002` | `CASE-002` | `assets/images/7d0aad0635/case-002/explicit_04_page_001.png` | p.4, Table 1 | table | + +## https://arxiv.org/abs/2603.11531 + +- Ссылка на статью: https://arxiv.org/abs/2603.11531 +- Название: MOBILE-GS: REAL-TIME GAUSSIAN SPLATTING FOR MOBILE DEVICES +- Идентификаторы: arxiv:2603.11531 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:df07798d94:case-005` | `CASE-005` | `assets/images/df07798d94/case-005/explicit_01_page_002.png` | Figure 2 | figure | +| `task3:df07798d94:case-005` | `CASE-005` | `assets/images/df07798d94/case-005/explicit_02_page_002.png` | Figure 2 | figure | +| `task3:df07798d94:case-005` | `CASE-005` | `assets/images/df07798d94/case-005/explicit_03_page_002.png` | Figure 2 | figure | +| `task3:df07798d94:case-005` | `CASE-005` | `assets/images/df07798d94/case-005/explicit_04_page_002.png` | Figure 2 | figure | +| `task3:df07798d94:case-006` | `CASE-006` | `assets/images/df07798d94/case-006/explicit_01_page_009.png` | Figure 9 | formula | +| `task3:df07798d94:case-006` | `CASE-006` | `assets/images/df07798d94/case-006/explicit_02_page_009.png` | Figure 9 | formula | +| `task3:df07798d94:case-006` | `CASE-006` | `assets/images/df07798d94/case-006/explicit_03_page_019.png` | Figure 9 | formula | +| `task3:df07798d94:case-006` | `CASE-006` | `assets/images/df07798d94/case-006/explicit_04_page_019.png` | Figure 9 | formula | +| `task3:df07798d94:case-007` | `CASE-007` | `assets/images/df07798d94/case-007/explicit_01_page_000.png` | formula 3 | formula | +| `task3:df07798d94:case-007` | `CASE-007` | `assets/images/df07798d94/case-007/explicit_02_page_000.png` | formula 3 | formula | +| `task3:df07798d94:case-007` | `CASE-007` | `assets/images/df07798d94/case-007/explicit_03_page_000.png` | formula 3 | formula | +| `task3:df07798d94:case-007` | `CASE-007` | `assets/images/df07798d94/case-007/explicit_04_page_000.png` | formula 3 | formula | + +## https://arxiv.org/abs/2603.14515 + +- Ссылка на статью: https://arxiv.org/abs/2603.14515 +- Название: Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State +- Идентификаторы: arXiv:2603.14515 +- Использовано изображений/страниц: 16 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:0987c43afc:case-006` | `CASE-006` | `assets/images/0987c43afc/case-006/explicit_01_page_001.png` | p.1, Fig.1 | figure | +| `task3:0987c43afc:case-006` | `CASE-006` | `assets/images/0987c43afc/case-006/explicit_02_page_001.png` | p.1, Fig.1 | figure | +| `task3:0987c43afc:case-006` | `CASE-006` | `assets/images/0987c43afc/case-006/explicit_03_page_001.png` | p.1, Fig.1 | figure | +| `task3:0987c43afc:case-006` | `CASE-006` | `assets/images/0987c43afc/case-006/explicit_04_page_001.png` | p.1, Fig.1 | figure | +| `task3:0987c43afc:case-007` | `CASE-007` | `assets/images/0987c43afc/case-007/explicit_01_page_003.png` | p.5, Fig.3 | figure | +| `task3:0987c43afc:case-007` | `CASE-007` | `assets/images/0987c43afc/case-007/explicit_02_page_003.png` | p.5, Fig.3 | figure | +| `task3:0987c43afc:case-007` | `CASE-007` | `assets/images/0987c43afc/case-007/explicit_03_page_003.png` | p.5, Fig.3 | figure | +| `task3:0987c43afc:case-007` | `CASE-007` | `assets/images/0987c43afc/case-007/explicit_04_page_003.png` | p.5, Fig.3 | figure | +| `task3:0987c43afc:case-008` | `CASE-008` | `assets/images/0987c43afc/case-008/explicit_01_page_004.png` | p.6, Fig.4 | figure | +| `task3:0987c43afc:case-008` | `CASE-008` | `assets/images/0987c43afc/case-008/explicit_02_page_004.png` | p.6, Fig.4 | figure | +| `task3:0987c43afc:case-008` | `CASE-008` | `assets/images/0987c43afc/case-008/explicit_03_page_004.png` | p.6, Fig.4 | figure | +| `task3:0987c43afc:case-008` | `CASE-008` | `assets/images/0987c43afc/case-008/explicit_04_page_004.png` | p.6, Fig.4 | figure | +| `task3:0987c43afc:case-009` | `CASE-009` | `assets/images/0987c43afc/case-009/explicit_01_page_005.png` | p.7, Fig.5 | figure | +| `task3:0987c43afc:case-009` | `CASE-009` | `assets/images/0987c43afc/case-009/explicit_02_page_005.png` | p.7, Fig.5 | figure | +| `task3:0987c43afc:case-009` | `CASE-009` | `assets/images/0987c43afc/case-009/explicit_03_page_005.png` | p.7, Fig.5 | figure | +| `task3:0987c43afc:case-009` | `CASE-009` | `assets/images/0987c43afc/case-009/explicit_04_page_005.png` | p.7, Fig.5 | figure | + +## https://arxiv.org/abs/2603.15669 + +- Ссылка на статью: https://arxiv.org/abs/2603.15669 +- Название: V2Rho‑FNO: Fourier Neural Operator for Electronic Density Prediction +- Идентификаторы: arXiv:2603.15669 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:0987c43afc:case-015` | `CASE-015` | `assets/images/0987c43afc/case-015/explicit_01_page_007.png` | p. 7–9, 2.1 (a, b, c) | page | +| `task3:0987c43afc:case-015` | `CASE-015` | `assets/images/0987c43afc/case-015/explicit_02_page_007.png` | p. 7–9, 2.1 (a, b, c) | page | +| `task3:0987c43afc:case-015` | `CASE-015` | `assets/images/0987c43afc/case-015/explicit_03_page_008.png` | p. 7–9, 2.1 (a, b, c) | page | +| `task3:0987c43afc:case-015` | `CASE-015` | `assets/images/0987c43afc/case-015/explicit_04_page_008.png` | p. 7–9, 2.1 (a, b, c) | page | +| `task3:0987c43afc:case-016` | `CASE-016` | `assets/images/0987c43afc/case-016/explicit_01_page_003.png` | p. 10, Fig. 3 | figure | +| `task3:0987c43afc:case-016` | `CASE-016` | `assets/images/0987c43afc/case-016/explicit_02_page_003.png` | p. 10, Fig. 3 | figure | +| `task3:0987c43afc:case-016` | `CASE-016` | `assets/images/0987c43afc/case-016/explicit_03_page_003.png` | p. 10, Fig. 3 | figure | +| `task3:0987c43afc:case-016` | `CASE-016` | `assets/images/0987c43afc/case-016/explicit_04_page_003.png` | p. 10, Fig. 3 | figure | +| `task3:0987c43afc:case-017` | `CASE-017` | `assets/images/0987c43afc/case-017/explicit_01_page_012.png` | p. 12, 3.1, Eq 1 | page | +| `task3:0987c43afc:case-017` | `CASE-017` | `assets/images/0987c43afc/case-017/explicit_02_page_012.png` | p. 12, 3.1, Eq 1 | page | +| `task3:0987c43afc:case-017` | `CASE-017` | `assets/images/0987c43afc/case-017/explicit_03_page_000.png` | p. 12, 3.1, Eq 1 | page | +| `task3:0987c43afc:case-017` | `CASE-017` | `assets/images/0987c43afc/case-017/explicit_04_page_000.png` | p. 12, 3.1, Eq 1 | page | + +## https://arxiv.org/abs/2605.04055 + +- Ссылка на статью: https://arxiv.org/abs/2605.04055 +- Название: A Self-Attentive Meta-Optimizer with Group-Adaptive Learning Rates and Weight Decay +- Идентификаторы: arxiv:2605.04055 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-004` | `CASE-004` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-004/explicit_01_page_002.png` | fig. 2, 3, Tab. 3, 4 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-004` | `CASE-004` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-004/explicit_02_page_002.png` | fig. 2, 3, Tab. 3, 4 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-004` | `CASE-004` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-004/explicit_03_page_002.png` | fig. 2, 3, Tab. 3, 4 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-004` | `CASE-004` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-004/explicit_04_page_002.png` | fig. 2, 3, Tab. 3, 4 | figure_or_table | + +## https://doi.org/10.1002/adem.202201124 + +- Ссылка на статью: https://doi.org/10.1002/adem.202201124 +- Название: Impact of Ferroelectric Layer Thickness on Reliability of Back-End-of-Line-Compatible Hafnium Zirconium Oxide Films +- Идентификаторы: 10.1002/adem.202201124 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5c4536453d:case-006` | `CASE-006` | `assets/images/5c4536453d/case-006/explicit_01_page_002.png` | Fig.2 | figure | +| `task3:5c4536453d:case-006` | `CASE-006` | `assets/images/5c4536453d/case-006/explicit_02_page_002.png` | Fig.2 | figure | +| `task3:5c4536453d:case-006` | `CASE-006` | `assets/images/5c4536453d/case-006/explicit_03_page_002.png` | Fig.2 | figure | +| `task3:5c4536453d:case-006` | `CASE-006` | `assets/images/5c4536453d/case-006/explicit_04_page_002.png` | Fig.2 | figure | + +## https://doi.org/10.1007/978-3-319-19225-3_22 + +- Ссылка на статью: https://doi.org/10.1007/978-3-319-19225-3_22 +- Название: Regular Realizability Problems and Context-Free Languages +- Идентификаторы: doi: 10.1007/978-3-319-19225-3_22 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_01_page_000.png` | | mixed | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_02_page_000.png` | | mixed | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_03_page_000.png` | | mixed | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_04_page_000.png` | | mixed | + +## https://doi.org/10.1007/s10894-019-00213-9 + +- Ссылка на статью: https://doi.org/10.1007/s10894-019-00213-9 +- Название: Advanced Neutron Spectroscopy in Fusion Research +- Идентификаторы: 10.1007/s10894-019-00213-9 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_01_page_002.png` | Fig.2 | figure_or_table | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_02_page_002.png` | Fig.2 | figure_or_table | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_03_page_002.png` | Fig.2 | figure_or_table | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_04_page_002.png` | Fig.2 | figure_or_table | +| `task3:168bdb55d7:case-011` | `CASE-011` | `assets/images/168bdb55d7/case-011/explicit_01_page_003.png` | Fig.3 | figure_or_table | +| `task3:168bdb55d7:case-011` | `CASE-011` | `assets/images/168bdb55d7/case-011/explicit_02_page_003.png` | Fig.3 | figure_or_table | +| `task3:168bdb55d7:case-011` | `CASE-011` | `assets/images/168bdb55d7/case-011/explicit_03_page_003.png` | Fig.3 | figure_or_table | +| `task3:168bdb55d7:case-011` | `CASE-011` | `assets/images/168bdb55d7/case-011/explicit_04_page_003.png` | Fig.3 | figure_or_table | + +## https://doi.org/10.1007/s12012-025-09987-1 + +- Ссылка на статью: https://doi.org/10.1007/s12012-025-09987-1 +- Название: Advanced Cardiovascular Toxicity Screening: Integrating Human iPSC-Derived Cardiomyocytes with 2D In Silico Models +- Идентификаторы: 10.1007/s12012-025-09987-1, doi:10.1007/s12012-025-09987-1 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:c5c57bba7e:case-010` | `CASE-010` | `assets/images/c5c57bba7e/case-010/explicit_01_page_000.png` | Graphical Abstract | figure | +| `task3:c5c57bba7e:case-010` | `CASE-010` | `assets/images/c5c57bba7e/case-010/explicit_02_page_000.png` | Graphical Abstract | figure | +| `task3:c5c57bba7e:case-010` | `CASE-010` | `assets/images/c5c57bba7e/case-010/explicit_03_page_000.png` | Graphical Abstract | figure | +| `task3:c5c57bba7e:case-010` | `CASE-010` | `assets/images/c5c57bba7e/case-010/explicit_04_page_000.png` | Graphical Abstract | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-007` | `CASE-007` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-007/explicit_01_page_000.png` | Workflow figures/tables linking hiPSC-CM readouts, 2D in silico model outputs and toxicity endpoints | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-007` | `CASE-007` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-007/explicit_02_page_000.png` | Workflow figures/tables linking hiPSC-CM readouts, 2D in silico model outputs and toxicity endpoints | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-007` | `CASE-007` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-007/explicit_03_page_000.png` | Workflow figures/tables linking hiPSC-CM readouts, 2D in silico model outputs and toxicity endpoints | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-007` | `CASE-007` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-007/explicit_04_page_000.png` | Workflow figures/tables linking hiPSC-CM readouts, 2D in silico model outputs and toxicity endpoints | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-010` | `CASE-010` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-010/explicit_01_page_000.png` | Drug exposure / screening workflow / model-output sequence across experimental and in silico layers | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-010` | `CASE-010` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-010/explicit_02_page_000.png` | Drug exposure / screening workflow / model-output sequence across experimental and in silico layers | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-010` | `CASE-010` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-010/explicit_03_page_000.png` | Drug exposure / screening workflow / model-output sequence across experimental and in silico layers | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-010` | `CASE-010` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-010/explicit_04_page_000.png` | Drug exposure / screening workflow / model-output sequence across experimental and in silico layers | mixed | + +## https://doi.org/10.1007/s42001-026-00465-4 + +- Ссылка на статью: https://doi.org/10.1007/s42001-026-00465-4 +- Название: "AI Agents Simulate Behavioral Biases in Financial Markets +- Идентификаторы: 10.1007/s42001-026-00465-4 +- Использовано изображений/страниц: 48 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:8ec4fdad1a:case-001` | `CASE-001` | `assets/images/8ec4fdad1a/case-001/explicit_01_page_004.png` | Fig.4 | figure_or_table | +| `task3:8ec4fdad1a:case-001` | `CASE-001` | `assets/images/8ec4fdad1a/case-001/explicit_02_page_004.png` | Fig.4 | figure_or_table | +| `task3:8ec4fdad1a:case-001` | `CASE-001` | `assets/images/8ec4fdad1a/case-001/explicit_03_page_004.png` | Fig.4 | figure_or_table | +| `task3:8ec4fdad1a:case-001` | `CASE-001` | `assets/images/8ec4fdad1a/case-001/explicit_04_page_004.png` | Fig.4 | figure_or_table | +| `task3:8ec4fdad1a:case-002` | `CASE-002` | `assets/images/8ec4fdad1a/case-002/explicit_01_page_005.png` | Fig.5 | figure_or_table | +| `task3:8ec4fdad1a:case-002` | `CASE-002` | `assets/images/8ec4fdad1a/case-002/explicit_02_page_005.png` | Fig.5 | figure_or_table | +| `task3:8ec4fdad1a:case-002` | `CASE-002` | `assets/images/8ec4fdad1a/case-002/explicit_03_page_005.png` | Fig.5 | figure_or_table | +| `task3:8ec4fdad1a:case-002` | `CASE-002` | `assets/images/8ec4fdad1a/case-002/explicit_04_page_005.png` | Fig.5 | figure_or_table | +| `task3:8ec4fdad1a:case-003` | `CASE-003` | `assets/images/8ec4fdad1a/case-003/explicit_01_page_008.png` | p.8 | page | +| `task3:8ec4fdad1a:case-003` | `CASE-003` | `assets/images/8ec4fdad1a/case-003/explicit_02_page_008.png` | p.8 | page | +| `task3:8ec4fdad1a:case-003` | `CASE-003` | `assets/images/8ec4fdad1a/case-003/explicit_03_page_000.png` | p.8 | page | +| `task3:8ec4fdad1a:case-003` | `CASE-003` | `assets/images/8ec4fdad1a/case-003/explicit_04_page_000.png` | p.8 | page | +| `task3:8ec4fdad1a:case-004` | `CASE-004` | `assets/images/8ec4fdad1a/case-004/explicit_01_page_001.png` | Table 1 | table | +| `task3:8ec4fdad1a:case-004` | `CASE-004` | `assets/images/8ec4fdad1a/case-004/explicit_02_page_001.png` | Table 1 | table | +| `task3:8ec4fdad1a:case-004` | `CASE-004` | `assets/images/8ec4fdad1a/case-004/explicit_03_page_001.png` | Table 1 | table | +| `task3:8ec4fdad1a:case-004` | `CASE-004` | `assets/images/8ec4fdad1a/case-004/explicit_04_page_001.png` | Table 1 | table | +| `task3:8ec4fdad1a:case-005` | `CASE-005` | `assets/images/8ec4fdad1a/case-005/explicit_01_page_006.png` | Fig.6 | figure | +| `task3:8ec4fdad1a:case-005` | `CASE-005` | `assets/images/8ec4fdad1a/case-005/explicit_02_page_006.png` | Fig.6 | figure | +| `task3:8ec4fdad1a:case-005` | `CASE-005` | `assets/images/8ec4fdad1a/case-005/explicit_03_page_016.png` | Fig.6 | figure | +| `task3:8ec4fdad1a:case-005` | `CASE-005` | `assets/images/8ec4fdad1a/case-005/explicit_04_page_016.png` | Fig.6 | figure | +| `task3:8ec4fdad1a:case-006` | `CASE-006` | `assets/images/8ec4fdad1a/case-006/explicit_01_page_003.png` | Fig.3 | figure_or_table | +| `task3:8ec4fdad1a:case-006` | `CASE-006` | `assets/images/8ec4fdad1a/case-006/explicit_02_page_003.png` | Fig.3 | figure_or_table | +| `task3:8ec4fdad1a:case-006` | `CASE-006` | `assets/images/8ec4fdad1a/case-006/explicit_03_page_003.png` | Fig.3 | figure_or_table | +| `task3:8ec4fdad1a:case-006` | `CASE-006` | `assets/images/8ec4fdad1a/case-006/explicit_04_page_003.png` | Fig.3 | figure_or_table | +| `task3:8ec4fdad1a:case-007` | `CASE-007` | `assets/images/8ec4fdad1a/case-007/explicit_01_page_002.png` | Table 2 | table | +| `task3:8ec4fdad1a:case-007` | `CASE-007` | `assets/images/8ec4fdad1a/case-007/explicit_02_page_002.png` | Table 2 | table | +| `task3:8ec4fdad1a:case-007` | `CASE-007` | `assets/images/8ec4fdad1a/case-007/explicit_03_page_002.png` | Table 2 | table | +| `task3:8ec4fdad1a:case-007` | `CASE-007` | `assets/images/8ec4fdad1a/case-007/explicit_04_page_002.png` | Table 2 | table | +| `task3:8ec4fdad1a:case-008` | `CASE-008` | `assets/images/8ec4fdad1a/case-008/explicit_01_page_002.png` | Fig.2 | figure | +| `task3:8ec4fdad1a:case-008` | `CASE-008` | `assets/images/8ec4fdad1a/case-008/explicit_02_page_002.png` | Fig.2 | figure | +| `task3:8ec4fdad1a:case-008` | `CASE-008` | `assets/images/8ec4fdad1a/case-008/explicit_03_page_002.png` | Fig.2 | figure | +| `task3:8ec4fdad1a:case-008` | `CASE-008` | `assets/images/8ec4fdad1a/case-008/explicit_04_page_002.png` | Fig.2 | figure | +| `task3:8ec4fdad1a:case-009` | `CASE-009` | `assets/images/8ec4fdad1a/case-009/explicit_01_page_006.png` | Fig.6 | figure | +| `task3:8ec4fdad1a:case-009` | `CASE-009` | `assets/images/8ec4fdad1a/case-009/explicit_02_page_006.png` | Fig.6 | figure | +| `task3:8ec4fdad1a:case-009` | `CASE-009` | `assets/images/8ec4fdad1a/case-009/explicit_03_page_016.png` | Fig.6 | figure | +| `task3:8ec4fdad1a:case-009` | `CASE-009` | `assets/images/8ec4fdad1a/case-009/explicit_04_page_016.png` | Fig.6 | figure | +| `task3:8ec4fdad1a:case-010` | `CASE-010` | `assets/images/8ec4fdad1a/case-010/explicit_01_page_003.png` | Table 3 | table | +| `task3:8ec4fdad1a:case-010` | `CASE-010` | `assets/images/8ec4fdad1a/case-010/explicit_02_page_003.png` | Table 3 | table | +| `task3:8ec4fdad1a:case-010` | `CASE-010` | `assets/images/8ec4fdad1a/case-010/explicit_03_page_003.png` | Table 3 | table | +| `task3:8ec4fdad1a:case-010` | `CASE-010` | `assets/images/8ec4fdad1a/case-010/explicit_04_page_003.png` | Table 3 | table | +| `task3:8ec4fdad1a:case-011` | `CASE-011` | `assets/images/8ec4fdad1a/case-011/explicit_01_page_005.png` | p.5 | page | +| `task3:8ec4fdad1a:case-011` | `CASE-011` | `assets/images/8ec4fdad1a/case-011/explicit_02_page_005.png` | p.5 | page | +| `task3:8ec4fdad1a:case-011` | `CASE-011` | `assets/images/8ec4fdad1a/case-011/explicit_03_page_005.png` | p.5 | page | +| `task3:8ec4fdad1a:case-011` | `CASE-011` | `assets/images/8ec4fdad1a/case-011/explicit_04_page_005.png` | p.5 | page | +| `task3:8ec4fdad1a:case-012` | `CASE-012` | `assets/images/8ec4fdad1a/case-012/explicit_01_page_010.png` | p.10 | page | +| `task3:8ec4fdad1a:case-012` | `CASE-012` | `assets/images/8ec4fdad1a/case-012/explicit_02_page_010.png` | p.10 | page | +| `task3:8ec4fdad1a:case-012` | `CASE-012` | `assets/images/8ec4fdad1a/case-012/explicit_03_page_000.png` | p.10 | page | +| `task3:8ec4fdad1a:case-012` | `CASE-012` | `assets/images/8ec4fdad1a/case-012/explicit_04_page_000.png` | p.10 | page | + +## https://doi.org/10.1016/j.chom.2013.07.007 + +- Ссылка на статью: https://doi.org/10.1016/j.chom.2013.07.007 +- Название: Fusobacterium nucleatum Potentiates Intestinal Tumorigenesis and Modulates the Tumor-Immune Microenvironment +- Идентификаторы: doi:10.1016/j.chom.2013.07.007 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:dosi_onur_task3:case-009` | `CASE-009` | `assets/images/dosi_onur_task3/case-009/explicit_01_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-009` | `CASE-009` | `assets/images/dosi_onur_task3/case-009/explicit_02_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-009` | `CASE-009` | `assets/images/dosi_onur_task3/case-009/explicit_03_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-009` | `CASE-009` | `assets/images/dosi_onur_task3/case-009/explicit_04_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-010` | `CASE-010` | `assets/images/dosi_onur_task3/case-010/explicit_01_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-010` | `CASE-010` | `assets/images/dosi_onur_task3/case-010/explicit_02_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-010` | `CASE-010` | `assets/images/dosi_onur_task3/case-010/explicit_03_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-010` | `CASE-010` | `assets/images/dosi_onur_task3/case-010/explicit_04_page_002.png` | p.3, Fig.2 | figure | + +## https://doi.org/10.1016/j.chom.2013.07.012 + +- Ссылка на статью: https://doi.org/10.1016/j.chom.2013.07.012 +- Название: Fusobacterium nucleatum Promotes Colorectal Carcinogenesis by Modulating E-Cadherin/β-Catenin Signaling via its FadA Adhesin +- Идентификаторы: doi:10.1016/j.chom.2013.07.012 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:dosi_onur_task3:case-007` | `CASE-007` | `assets/images/dosi_onur_task3/case-007/explicit_01_page_002.png` | p.15, Fig.2 | figure | +| `task3:dosi_onur_task3:case-007` | `CASE-007` | `assets/images/dosi_onur_task3/case-007/explicit_02_page_002.png` | p.15, Fig.2 | figure | +| `task3:dosi_onur_task3:case-007` | `CASE-007` | `assets/images/dosi_onur_task3/case-007/explicit_03_page_002.png` | p.15, Fig.2 | figure | +| `task3:dosi_onur_task3:case-007` | `CASE-007` | `assets/images/dosi_onur_task3/case-007/explicit_04_page_002.png` | p.15, Fig.2 | figure | +| `task3:dosi_onur_task3:case-012` | `CASE-012` | `assets/images/dosi_onur_task3/case-012/explicit_01_page_002.png` | p.2–5 | page | +| `task3:dosi_onur_task3:case-012` | `CASE-012` | `assets/images/dosi_onur_task3/case-012/explicit_02_page_002.png` | p.2–5 | page | +| `task3:dosi_onur_task3:case-012` | `CASE-012` | `assets/images/dosi_onur_task3/case-012/explicit_03_page_002.png` | p.2–5 | page | +| `task3:dosi_onur_task3:case-012` | `CASE-012` | `assets/images/dosi_onur_task3/case-012/explicit_04_page_002.png` | p.2–5 | page | + +## https://doi.org/10.1016/j.compchemeng.2012.01.015 + +- Ссылка на статью: https://doi.org/10.1016/j.compchemeng.2012.01.015 +- Название: Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column +- Идентификаторы: doi:10.1016/j.compchemeng.2012.01.015 +- Использовано изображений/страниц: 28 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:2ba05d8ab7:case-001` | `CASE-001` | `assets/images/2ba05d8ab7/case-001/explicit_01_page_002.png` | Table 2 | figure_or_table | +| `task3:2ba05d8ab7:case-001` | `CASE-001` | `assets/images/2ba05d8ab7/case-001/explicit_02_page_002.png` | Table 2 | figure_or_table | +| `task3:2ba05d8ab7:case-001` | `CASE-001` | `assets/images/2ba05d8ab7/case-001/explicit_03_page_002.png` | Table 2 | figure_or_table | +| `task3:2ba05d8ab7:case-001` | `CASE-001` | `assets/images/2ba05d8ab7/case-001/explicit_04_page_002.png` | Table 2 | figure_or_table | +| `task3:2ba05d8ab7:case-002` | `CASE-002` | `assets/images/2ba05d8ab7/case-002/explicit_01_page_004.png` | p.4 | formula | +| `task3:2ba05d8ab7:case-002` | `CASE-002` | `assets/images/2ba05d8ab7/case-002/explicit_02_page_004.png` | p.4 | formula | +| `task3:2ba05d8ab7:case-002` | `CASE-002` | `assets/images/2ba05d8ab7/case-002/explicit_03_page_004.png` | p.4 | formula | +| `task3:2ba05d8ab7:case-002` | `CASE-002` | `assets/images/2ba05d8ab7/case-002/explicit_04_page_004.png` | p.4 | formula | +| `task3:2ba05d8ab7:case-003` | `CASE-003` | `assets/images/2ba05d8ab7/case-003/explicit_01_page_003.png` | Table 3 | figure_or_table | +| `task3:2ba05d8ab7:case-003` | `CASE-003` | `assets/images/2ba05d8ab7/case-003/explicit_02_page_003.png` | Table 3 | figure_or_table | +| `task3:2ba05d8ab7:case-003` | `CASE-003` | `assets/images/2ba05d8ab7/case-003/explicit_03_page_003.png` | Table 3 | figure_or_table | +| `task3:2ba05d8ab7:case-003` | `CASE-003` | `assets/images/2ba05d8ab7/case-003/explicit_04_page_003.png` | Table 3 | figure_or_table | +| `task3:2ba05d8ab7:case-006` | `CASE-006` | `assets/images/2ba05d8ab7/case-006/explicit_01_page_004.png` | Table 4 | figure_or_table | +| `task3:2ba05d8ab7:case-006` | `CASE-006` | `assets/images/2ba05d8ab7/case-006/explicit_02_page_004.png` | Table 4 | figure_or_table | +| `task3:2ba05d8ab7:case-006` | `CASE-006` | `assets/images/2ba05d8ab7/case-006/explicit_03_page_004.png` | Table 4 | figure_or_table | +| `task3:2ba05d8ab7:case-006` | `CASE-006` | `assets/images/2ba05d8ab7/case-006/explicit_04_page_004.png` | Table 4 | figure_or_table | +| `task3:2ba05d8ab7:case-008` | `CASE-008` | `assets/images/2ba05d8ab7/case-008/explicit_01_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-008` | `CASE-008` | `assets/images/2ba05d8ab7/case-008/explicit_02_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-008` | `CASE-008` | `assets/images/2ba05d8ab7/case-008/explicit_03_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-008` | `CASE-008` | `assets/images/2ba05d8ab7/case-008/explicit_04_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-011` | `CASE-011` | `assets/images/2ba05d8ab7/case-011/explicit_01_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-011` | `CASE-011` | `assets/images/2ba05d8ab7/case-011/explicit_02_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-011` | `CASE-011` | `assets/images/2ba05d8ab7/case-011/explicit_03_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-011` | `CASE-011` | `assets/images/2ba05d8ab7/case-011/explicit_04_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-012` | `CASE-012` | `assets/images/2ba05d8ab7/case-012/explicit_01_page_000.png` | | mixed | +| `task3:2ba05d8ab7:case-012` | `CASE-012` | `assets/images/2ba05d8ab7/case-012/explicit_02_page_000.png` | | mixed | +| `task3:2ba05d8ab7:case-012` | `CASE-012` | `assets/images/2ba05d8ab7/case-012/explicit_03_page_000.png` | | mixed | +| `task3:2ba05d8ab7:case-012` | `CASE-012` | `assets/images/2ba05d8ab7/case-012/explicit_04_page_000.png` | | mixed | + +## https://doi.org/10.1016/j.fuel.2018.11.033 + +- Ссылка на статью: https://doi.org/10.1016/j.fuel.2018.11.033 +- Название: Progressive crude oil distillation: An energy-efficient alternative to conventional distillation process +- Идентификаторы: https://doi.org/10.1016/j.fuel.2018.11.033 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:2ba05d8ab7:case-007` | `CASE-007` | `assets/images/2ba05d8ab7/case-007/explicit_01_page_001.png` | Table 1 | figure_or_table | +| `task3:2ba05d8ab7:case-007` | `CASE-007` | `assets/images/2ba05d8ab7/case-007/explicit_02_page_001.png` | Table 1 | figure_or_table | +| `task3:2ba05d8ab7:case-007` | `CASE-007` | `assets/images/2ba05d8ab7/case-007/explicit_03_page_001.png` | Table 1 | figure_or_table | +| `task3:2ba05d8ab7:case-007` | `CASE-007` | `assets/images/2ba05d8ab7/case-007/explicit_04_page_001.png` | Table 1 | figure_or_table | + +## https://doi.org/10.1016/j.ic.2021.104797 + +- Ссылка на статью: https://doi.org/10.1016/j.ic.2021.104797 +- Название: On computational complexity of set automata +- Идентификаторы: doi: 10.1016/j.ic.2021.104797 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_01_page_001.png` | Fig. 1 | figure_or_table | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_02_page_001.png` | Fig. 1 | figure_or_table | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_03_page_001.png` | Fig. 1 | figure_or_table | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_04_page_001.png` | Fig. 1 | figure_or_table | + +## https://doi.org/10.1016/j.proeng.2016.06.484 + +- Ссылка на статью: https://doi.org/10.1016/j.proeng.2016.06.484 +- Название: Optimization and Dynamics of Distillation Column using Aspen Plus® +- Идентификаторы: doi: 10.1016/j.proeng.2016.06.484 +- Использовано изображений/страниц: 16 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:2ba05d8ab7:case-004` | `CASE-004` | `assets/images/2ba05d8ab7/case-004/explicit_01_page_001.png` | Fig.1 | figure_or_table | +| `task3:2ba05d8ab7:case-004` | `CASE-004` | `assets/images/2ba05d8ab7/case-004/explicit_02_page_001.png` | Fig.1 | figure_or_table | +| `task3:2ba05d8ab7:case-004` | `CASE-004` | `assets/images/2ba05d8ab7/case-004/explicit_03_page_001.png` | Fig.1 | figure_or_table | +| `task3:2ba05d8ab7:case-004` | `CASE-004` | `assets/images/2ba05d8ab7/case-004/explicit_04_page_001.png` | Fig.1 | figure_or_table | +| `task3:2ba05d8ab7:case-005` | `CASE-005` | `assets/images/2ba05d8ab7/case-005/explicit_01_page_003.png` | Fig.3 | figure_or_table | +| `task3:2ba05d8ab7:case-005` | `CASE-005` | `assets/images/2ba05d8ab7/case-005/explicit_02_page_003.png` | Fig.3 | figure_or_table | +| `task3:2ba05d8ab7:case-005` | `CASE-005` | `assets/images/2ba05d8ab7/case-005/explicit_03_page_003.png` | Fig.3 | figure_or_table | +| `task3:2ba05d8ab7:case-005` | `CASE-005` | `assets/images/2ba05d8ab7/case-005/explicit_04_page_003.png` | Fig.3 | figure_or_table | +| `task3:2ba05d8ab7:case-009` | `CASE-009` | `assets/images/2ba05d8ab7/case-009/explicit_01_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-009` | `CASE-009` | `assets/images/2ba05d8ab7/case-009/explicit_02_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-009` | `CASE-009` | `assets/images/2ba05d8ab7/case-009/explicit_03_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-009` | `CASE-009` | `assets/images/2ba05d8ab7/case-009/explicit_04_page_001.png` | p.1 | page | +| `task3:2ba05d8ab7:case-010` | `CASE-010` | `assets/images/2ba05d8ab7/case-010/explicit_01_page_004.png` | Fig.4 | figure_or_table | +| `task3:2ba05d8ab7:case-010` | `CASE-010` | `assets/images/2ba05d8ab7/case-010/explicit_02_page_004.png` | Fig.4 | figure_or_table | +| `task3:2ba05d8ab7:case-010` | `CASE-010` | `assets/images/2ba05d8ab7/case-010/explicit_03_page_004.png` | Fig.4 | figure_or_table | +| `task3:2ba05d8ab7:case-010` | `CASE-010` | `assets/images/2ba05d8ab7/case-010/explicit_04_page_004.png` | Fig.4 | figure_or_table | + +## https://doi.org/10.1021/j100009a049 + +- Ссылка на статью: https://doi.org/10.1021/j100009a049 +- Название: Density functional analysis of phenomenological theories of gas-liquid nucleation +- Идентификаторы: doi:10.1021/j100009a049 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-010` | `CASE-010` | `assets/images/168bdb55d7/case-010/explicit_01_page_012.png` | Page 4, Figures 1–2; page 5, Figures 3–5; page 7, Figures 7–8; page 9, Figures 9–12. The strongest diagnostic anchor is Figure 12, with Figures 9–11 needed to evaluate the diffuse-interface theory claim. | figure | +| `task3:168bdb55d7:case-010` | `CASE-010` | `assets/images/168bdb55d7/case-010/explicit_02_page_012.png` | Page 4, Figures 1–2; page 5, Figures 3–5; page 7, Figures 7–8; page 9, Figures 9–12. The strongest diagnostic anchor is Figure 12, with Figures 9–11 needed to evaluate the diffuse-interface theory claim. | figure | +| `task3:168bdb55d7:case-010` | `CASE-010` | `assets/images/168bdb55d7/case-010/explicit_03_page_004.png` | Page 4, Figures 1–2; page 5, Figures 3–5; page 7, Figures 7–8; page 9, Figures 9–12. The strongest diagnostic anchor is Figure 12, with Figures 9–11 needed to evaluate the diffuse-interface theory claim. | figure | +| `task3:168bdb55d7:case-010` | `CASE-010` | `assets/images/168bdb55d7/case-010/explicit_04_page_004.png` | Page 4, Figures 1–2; page 5, Figures 3–5; page 7, Figures 7–8; page 9, Figures 9–12. The strongest diagnostic anchor is Figure 12, with Figures 9–11 needed to evaluate the diffuse-interface theory claim. | figure | + +## https://doi.org/10.1038/379806a0 + +- Ссылка на статью: https://doi.org/10.1038/379806a0 +- Название: Melting dynamics of a plasma crystal +- Идентификаторы: DOI:10.1038/379806a0 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:f0377dec26:case-004` | `CASE-004` | `assets/images/f0377dec26/case-004/explicit_01_page_003.png` | p. 809, Fig. 3 | figure | +| `task3:f0377dec26:case-004` | `CASE-004` | `assets/images/f0377dec26/case-004/explicit_02_page_003.png` | p. 809, Fig. 3 | figure | +| `task3:f0377dec26:case-004` | `CASE-004` | `assets/images/f0377dec26/case-004/explicit_03_page_003.png` | p. 809, Fig. 3 | figure | +| `task3:f0377dec26:case-004` | `CASE-004` | `assets/images/f0377dec26/case-004/explicit_04_page_003.png` | p. 809, Fig. 3 | figure | + +## https://doi.org/10.1038/lsa.2013.40 + +- Ссылка на статью: https://doi.org/10.1038/lsa.2013.40 +- Название: Bloch surface eigenstates within the radiation continuum +- Идентификаторы: doi: 10.1038/lsa.2013.40 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:64495d27da:case-008` | `CASE-008` | `assets/images/64495d27da/case-008/explicit_01_page_001.png` | p.2, Fig.1 | mixed | +| `task3:64495d27da:case-008` | `CASE-008` | `assets/images/64495d27da/case-008/explicit_02_page_001.png` | p.2, Fig.1 | mixed | +| `task3:64495d27da:case-008` | `CASE-008` | `assets/images/64495d27da/case-008/explicit_03_page_001.png` | p.2, Fig.1 | mixed | +| `task3:64495d27da:case-008` | `CASE-008` | `assets/images/64495d27da/case-008/explicit_04_page_001.png` | p.2, Fig.1 | mixed | + +## https://doi.org/10.1038/nature12289 + +- Ссылка на статью: https://doi.org/10.1038/nature12289 +- Название: Observation of trapped light within the radiation continu-um +- Идентификаторы: doi: 10.1038/nature12289 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:64495d27da:case-002` | `CASE-002` | `assets/images/64495d27da/case-002/explicit_01_page_003.png` | p.3, Fig.3 | figure | +| `task3:64495d27da:case-002` | `CASE-002` | `assets/images/64495d27da/case-002/explicit_02_page_003.png` | p.3, Fig.3 | figure | +| `task3:64495d27da:case-002` | `CASE-002` | `assets/images/64495d27da/case-002/explicit_03_page_003.png` | p.3, Fig.3 | figure | +| `task3:64495d27da:case-002` | `CASE-002` | `assets/images/64495d27da/case-002/explicit_04_page_003.png` | p.3, Fig.3 | figure | + +## https://doi.org/10.1038/ncomms5034 + +- Ссылка на статью: https://doi.org/10.1038/ncomms5034 +- Название: Reversing the pump depend-ence of a laser at an excep-tional point +- Идентификаторы: doi: 10.1038/ncomms5034 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:64495d27da:case-003` | `CASE-003` | `assets/images/64495d27da/case-003/explicit_01_page_004.png` | p.4, Fig.2c | figure | +| `task3:64495d27da:case-003` | `CASE-003` | `assets/images/64495d27da/case-003/explicit_02_page_004.png` | p.4, Fig.2c | figure | +| `task3:64495d27da:case-003` | `CASE-003` | `assets/images/64495d27da/case-003/explicit_03_page_004.png` | p.4, Fig.2c | figure | +| `task3:64495d27da:case-003` | `CASE-003` | `assets/images/64495d27da/case-003/explicit_04_page_004.png` | p.4, Fig.2c | figure | + +## https://doi.org/10.1038/s41467-018-05006-w + +- Ссылка на статью: https://doi.org/10.1038/s41467-018-05006-w +- Название: Microscopic Structure of the Polymer-Induced Liquid Precursor for Calcium Carbonate +- Идентификаторы: doi:10.1038/s41467-018-05006-w +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-007` | `CASE-007` | `assets/images/168bdb55d7/case-007/explicit_01_page_002.png` | Page 4, Figure 2; page 6, Figure 4; page 7, Figure 5; page 9, Figure 6. The strongest single visual anchor is Figure 2, especially panels 2a–f and 2g–k. | mixed | +| `task3:168bdb55d7:case-007` | `CASE-007` | `assets/images/168bdb55d7/case-007/explicit_02_page_002.png` | Page 4, Figure 2; page 6, Figure 4; page 7, Figure 5; page 9, Figure 6. The strongest single visual anchor is Figure 2, especially panels 2a–f and 2g–k. | mixed | +| `task3:168bdb55d7:case-007` | `CASE-007` | `assets/images/168bdb55d7/case-007/explicit_03_page_002.png` | Page 4, Figure 2; page 6, Figure 4; page 7, Figure 5; page 9, Figure 6. The strongest single visual anchor is Figure 2, especially panels 2a–f and 2g–k. | mixed | +| `task3:168bdb55d7:case-007` | `CASE-007` | `assets/images/168bdb55d7/case-007/explicit_04_page_002.png` | Page 4, Figure 2; page 6, Figure 4; page 7, Figure 5; page 9, Figure 6. The strongest single visual anchor is Figure 2, especially panels 2a–f and 2g–k. | mixed | + +## https://doi.org/10.1038/s41467-023-40382-y + +- Ссылка на статью: https://doi.org/10.1038/s41467-023-40382-y +- Название: Superscattering emerging from the physics of bound states in the continuum +- Идентификаторы: 10.1038/s41467-023-40382-y +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:598d6ea6b4:case-001` | `CASE-001` | `assets/images/598d6ea6b4/case-001/explicit_01_page_004.png` | p.6, Fig. 4 | figure_or_table | +| `task3:598d6ea6b4:case-001` | `CASE-001` | `assets/images/598d6ea6b4/case-001/explicit_02_page_004.png` | p.6, Fig. 4 | figure_or_table | +| `task3:598d6ea6b4:case-001` | `CASE-001` | `assets/images/598d6ea6b4/case-001/explicit_03_page_004.png` | p.6, Fig. 4 | figure_or_table | +| `task3:598d6ea6b4:case-001` | `CASE-001` | `assets/images/598d6ea6b4/case-001/explicit_04_page_004.png` | p.6, Fig. 4 | figure_or_table | +| `task3:598d6ea6b4:case-002` | `CASE-002` | `assets/images/598d6ea6b4/case-002/explicit_01_page_006.png` | p.8, Fig.6 | figure_or_table | +| `task3:598d6ea6b4:case-002` | `CASE-002` | `assets/images/598d6ea6b4/case-002/explicit_02_page_006.png` | p.8, Fig.6 | figure_or_table | +| `task3:598d6ea6b4:case-002` | `CASE-002` | `assets/images/598d6ea6b4/case-002/explicit_03_page_016.png` | p.8, Fig.6 | figure_or_table | +| `task3:598d6ea6b4:case-002` | `CASE-002` | `assets/images/598d6ea6b4/case-002/explicit_04_page_016.png` | p.8, Fig.6 | figure_or_table | +| `task3:598d6ea6b4:case-003` | `CASE-003` | `assets/images/598d6ea6b4/case-003/explicit_01_page_007.png` | p.9, Fig.7 | figure_or_table | +| `task3:598d6ea6b4:case-003` | `CASE-003` | `assets/images/598d6ea6b4/case-003/explicit_02_page_007.png` | p.9, Fig.7 | figure_or_table | +| `task3:598d6ea6b4:case-003` | `CASE-003` | `assets/images/598d6ea6b4/case-003/explicit_03_page_017.png` | p.9, Fig.7 | figure_or_table | +| `task3:598d6ea6b4:case-003` | `CASE-003` | `assets/images/598d6ea6b4/case-003/explicit_04_page_017.png` | p.9, Fig.7 | figure_or_table | + +## https://doi.org/10.1038/s41467-025-62904-6 + +- Ссылка на статью: https://doi.org/10.1038/s41467-025-62904-6 +- Название: Decoupling polarization and coercive field in AlScN/AlN/AlScN stack for enhanced performance in ferroelectric thin-film transistors +- Идентификаторы: 10.1038/s41467-025-62904-6 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5c4536453d:case-001` | `CASE-001` | `assets/images/5c4536453d/case-001/explicit_01_page_000.png` | Fig.4e | figure | +| `task3:5c4536453d:case-001` | `CASE-001` | `assets/images/5c4536453d/case-001/explicit_02_page_000.png` | Fig.4e | figure | +| `task3:5c4536453d:case-001` | `CASE-001` | `assets/images/5c4536453d/case-001/explicit_03_page_000.png` | Fig.4e | figure | +| `task3:5c4536453d:case-001` | `CASE-001` | `assets/images/5c4536453d/case-001/explicit_04_page_000.png` | Fig.4e | figure | + +## https://doi.org/10.1038/s41529-024-00529-8 + +- Ссылка на статью: https://doi.org/10.1038/s41529-024-00529-8 +- Название: A data-driven strategy for phase field nucleation modeling +- Идентификаторы: doi:10.1038/s41529-024-00529-8 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_01_page_008.png` | Page 7, Figures 6 and 7; especially Figure 7b–d cross-sectional heatmaps and Figure 6b SHAP analysis. Page 8, Figure 8 is also useful for the inverse parameter-selection claim. | figure_or_table | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_02_page_008.png` | Page 7, Figures 6 and 7; especially Figure 7b–d cross-sectional heatmaps and Figure 6b SHAP analysis. Page 8, Figure 8 is also useful for the inverse parameter-selection claim. | figure_or_table | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_03_page_018.png` | Page 7, Figures 6 and 7; especially Figure 7b–d cross-sectional heatmaps and Figure 6b SHAP analysis. Page 8, Figure 8 is also useful for the inverse parameter-selection claim. | figure_or_table | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_04_page_018.png` | Page 7, Figures 6 and 7; especially Figure 7b–d cross-sectional heatmaps and Figure 6b SHAP analysis. Page 8, Figure 8 is also useful for the inverse parameter-selection claim. | figure_or_table | + +## https://doi.org/10.1038/s41565-023-01399-y + +- Ссылка на статью: https://doi.org/10.1038/s41565-023-01399-y +- Название: Scalable CMOS back-end-of-line-compatible AlScN/two-dimensional channel ferroelectric field-effect transistors +- Идентификаторы: 10.1038/s41565-023-01399-y +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5c4536453d:case-002` | `CASE-002` | `assets/images/5c4536453d/case-002/explicit_01_page_000.png` | Fig.1c | figure | +| `task3:5c4536453d:case-002` | `CASE-002` | `assets/images/5c4536453d/case-002/explicit_02_page_000.png` | Fig.1c | figure | +| `task3:5c4536453d:case-002` | `CASE-002` | `assets/images/5c4536453d/case-002/explicit_03_page_000.png` | Fig.1c | figure | +| `task3:5c4536453d:case-002` | `CASE-002` | `assets/images/5c4536453d/case-002/explicit_04_page_000.png` | Fig.1c | figure | +| `task3:5c4536453d:case-003` | `CASE-003` | `assets/images/5c4536453d/case-003/explicit_01_page_000.png` | Fig.1c | figure | +| `task3:5c4536453d:case-003` | `CASE-003` | `assets/images/5c4536453d/case-003/explicit_02_page_000.png` | Fig.1c | figure | +| `task3:5c4536453d:case-003` | `CASE-003` | `assets/images/5c4536453d/case-003/explicit_03_page_000.png` | Fig.1c | figure | +| `task3:5c4536453d:case-003` | `CASE-003` | `assets/images/5c4536453d/case-003/explicit_04_page_000.png` | Fig.1c | figure | + +## https://doi.org/10.1038/s41598-017-07653-3 + +- Ссылка на статью: https://doi.org/10.1038/s41598-017-07653-3 +- Название: Virtual cardiac monolayers for electrical wave propagation +- Идентификаторы: 10.1038/s41598-017-07653-3 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:c5c57bba7e:case-005` | `CASE-005` | `assets/images/c5c57bba7e/case-005/explicit_01_page_002.png` | Fig 2 | figure | +| `task3:c5c57bba7e:case-005` | `CASE-005` | `assets/images/c5c57bba7e/case-005/explicit_02_page_002.png` | Fig 2 | figure | +| `task3:c5c57bba7e:case-005` | `CASE-005` | `assets/images/c5c57bba7e/case-005/explicit_03_page_002.png` | Fig 2 | figure | +| `task3:c5c57bba7e:case-005` | `CASE-005` | `assets/images/c5c57bba7e/case-005/explicit_04_page_002.png` | Fig 2 | figure | + +## https://doi.org/10.1038/s41598-020-80082-x + +- Ссылка на статью: https://doi.org/10.1038/s41598-020-80082-x +- Название: Laser-induced melting of two-dimensional dusty plasma system in RF discharge +- Идентификаторы: DOI:10.1038/s41598-020-80082-x +- Использовано изображений/страниц: 16 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:f0377dec26:case-009` | `CASE-009` | `assets/images/f0377dec26/case-009/explicit_01_page_004.png` | p.6-7, Fig.4 & Fig.5 | figure | +| `task3:f0377dec26:case-009` | `CASE-009` | `assets/images/f0377dec26/case-009/explicit_02_page_004.png` | p.6-7, Fig.4 & Fig.5 | figure | +| `task3:f0377dec26:case-009` | `CASE-009` | `assets/images/f0377dec26/case-009/explicit_03_page_004.png` | p.6-7, Fig.4 & Fig.5 | figure | +| `task3:f0377dec26:case-009` | `CASE-009` | `assets/images/f0377dec26/case-009/explicit_04_page_004.png` | p.6-7, Fig.4 & Fig.5 | figure | +| `task3:f0377dec26:case-010` | `CASE-010` | `assets/images/f0377dec26/case-010/explicit_01_page_003.png` | p.5, Fig.3 | figure | +| `task3:f0377dec26:case-010` | `CASE-010` | `assets/images/f0377dec26/case-010/explicit_02_page_003.png` | p.5, Fig.3 | figure | +| `task3:f0377dec26:case-010` | `CASE-010` | `assets/images/f0377dec26/case-010/explicit_03_page_003.png` | p.5, Fig.3 | figure | +| `task3:f0377dec26:case-010` | `CASE-010` | `assets/images/f0377dec26/case-010/explicit_04_page_003.png` | p.5, Fig.3 | figure | +| `task3:f0377dec26:case-011` | `CASE-011` | `assets/images/f0377dec26/case-011/explicit_01_page_003.png` | p.3, раздел Experiments | page | +| `task3:f0377dec26:case-011` | `CASE-011` | `assets/images/f0377dec26/case-011/explicit_02_page_003.png` | p.3, раздел Experiments | page | +| `task3:f0377dec26:case-011` | `CASE-011` | `assets/images/f0377dec26/case-011/explicit_03_page_003.png` | p.3, раздел Experiments | page | +| `task3:f0377dec26:case-011` | `CASE-011` | `assets/images/f0377dec26/case-011/explicit_04_page_003.png` | p.3, раздел Experiments | page | +| `task3:f0377dec26:case-012` | `CASE-012` | `assets/images/f0377dec26/case-012/explicit_01_page_002.png` | p.2–3, раздел Experiments | page | +| `task3:f0377dec26:case-012` | `CASE-012` | `assets/images/f0377dec26/case-012/explicit_02_page_002.png` | p.2–3, раздел Experiments | page | +| `task3:f0377dec26:case-012` | `CASE-012` | `assets/images/f0377dec26/case-012/explicit_03_page_002.png` | p.2–3, раздел Experiments | page | +| `task3:f0377dec26:case-012` | `CASE-012` | `assets/images/f0377dec26/case-012/explicit_04_page_002.png` | p.2–3, раздел Experiments | page | + +## https://doi.org/10.1038/s41598-022-22225-w + +- Ссылка на статью: https://doi.org/10.1038/s41598-022-22225-w +- Название: Generation and maturation of human iPSC-derived 3D organotypic cardiac microtissues in long-term culture +- Идентификаторы: 10.1038/s41598-022-22225-w +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:c5c57bba7e:case-009` | `CASE-009` | `assets/images/c5c57bba7e/case-009/explicit_01_page_002.png` | Fig 2 | figure | +| `task3:c5c57bba7e:case-009` | `CASE-009` | `assets/images/c5c57bba7e/case-009/explicit_02_page_002.png` | Fig 2 | figure | +| `task3:c5c57bba7e:case-009` | `CASE-009` | `assets/images/c5c57bba7e/case-009/explicit_03_page_002.png` | Fig 2 | figure | +| `task3:c5c57bba7e:case-009` | `CASE-009` | `assets/images/c5c57bba7e/case-009/explicit_04_page_002.png` | Fig 2 | figure | + +## https://doi.org/10.1038/s41598-023-28204-z + +- Ссылка на статью: https://doi.org/10.1038/s41598-023-28204-z +- Название: Optical hydrogen sensing with high‑Q guided‑mode resonance of Al2O3/WO3/Pd nanostructure +- Идентификаторы: doi: 10.1038/s41598-023-28204-z +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:64495d27da:case-005` | `CASE-005` | `assets/images/64495d27da/case-005/explicit_01_page_001.png` | p.3, Fig.1 | figure | +| `task3:64495d27da:case-005` | `CASE-005` | `assets/images/64495d27da/case-005/explicit_02_page_001.png` | p.3, Fig.1 | figure | +| `task3:64495d27da:case-005` | `CASE-005` | `assets/images/64495d27da/case-005/explicit_03_page_001.png` | p.3, Fig.1 | figure | +| `task3:64495d27da:case-005` | `CASE-005` | `assets/images/64495d27da/case-005/explicit_04_page_001.png` | p.3, Fig.1 | figure | +| `task3:64495d27da:case-006` | `CASE-006` | `assets/images/64495d27da/case-006/explicit_01_page_004.png` | p.5, Fig.4 | figure | +| `task3:64495d27da:case-006` | `CASE-006` | `assets/images/64495d27da/case-006/explicit_02_page_004.png` | p.5, Fig.4 | figure | +| `task3:64495d27da:case-006` | `CASE-006` | `assets/images/64495d27da/case-006/explicit_03_page_004.png` | p.5, Fig.4 | figure | +| `task3:64495d27da:case-006` | `CASE-006` | `assets/images/64495d27da/case-006/explicit_04_page_004.png` | p.5, Fig.4 | figure | + +## https://doi.org/10.1038/s43588-025-00872-z + +- Ссылка на статью: https://doi.org/10.1038/s43588-025-00872-z +- Название: Transferable neural wavefunctions for solids +- Идентификаторы: 10.1038/s43588-025-00872-z +- Использовано изображений/страниц: 20 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:0987c43afc:case-010` | `CASE-010` | `assets/images/0987c43afc/case-010/explicit_01_page_002.png` | p.2, Fig. 1d | figure | +| `task3:0987c43afc:case-010` | `CASE-010` | `assets/images/0987c43afc/case-010/explicit_02_page_002.png` | p.2, Fig. 1d | figure | +| `task3:0987c43afc:case-010` | `CASE-010` | `assets/images/0987c43afc/case-010/explicit_03_page_002.png` | p.2, Fig. 1d | figure | +| `task3:0987c43afc:case-010` | `CASE-010` | `assets/images/0987c43afc/case-010/explicit_04_page_002.png` | p.2, Fig. 1d | figure | +| `task3:0987c43afc:case-011` | `CASE-011` | `assets/images/0987c43afc/case-011/explicit_01_page_002.png` | стр. 2, последний абзац введения | page | +| `task3:0987c43afc:case-011` | `CASE-011` | `assets/images/0987c43afc/case-011/explicit_02_page_002.png` | стр. 2, последний абзац введения | page | +| `task3:0987c43afc:case-011` | `CASE-011` | `assets/images/0987c43afc/case-011/explicit_03_page_002.png` | стр. 2, последний абзац введения | page | +| `task3:0987c43afc:case-011` | `CASE-011` | `assets/images/0987c43afc/case-011/explicit_04_page_002.png` | стр. 2, последний абзац введения | page | +| `task3:0987c43afc:case-012` | `CASE-012` | `assets/images/0987c43afc/case-012/explicit_01_page_003.png` | p.3, Fig. 2a | figure | +| `task3:0987c43afc:case-012` | `CASE-012` | `assets/images/0987c43afc/case-012/explicit_02_page_003.png` | p.3, Fig. 2a | figure | +| `task3:0987c43afc:case-012` | `CASE-012` | `assets/images/0987c43afc/case-012/explicit_03_page_003.png` | p.3, Fig. 2a | figure | +| `task3:0987c43afc:case-012` | `CASE-012` | `assets/images/0987c43afc/case-012/explicit_04_page_003.png` | p.3, Fig. 2a | figure | +| `task3:0987c43afc:case-013` | `CASE-013` | `assets/images/0987c43afc/case-013/explicit_01_page_003.png` | p.3, Fig. 2b | figure | +| `task3:0987c43afc:case-013` | `CASE-013` | `assets/images/0987c43afc/case-013/explicit_02_page_003.png` | p.3, Fig. 2b | figure | +| `task3:0987c43afc:case-013` | `CASE-013` | `assets/images/0987c43afc/case-013/explicit_03_page_003.png` | p.3, Fig. 2b | figure | +| `task3:0987c43afc:case-013` | `CASE-013` | `assets/images/0987c43afc/case-013/explicit_04_page_003.png` | p.3, Fig. 2b | figure | +| `task3:0987c43afc:case-014` | `CASE-014` | `assets/images/0987c43afc/case-014/explicit_01_page_001.png` | p.4, Table 1 | table | +| `task3:0987c43afc:case-014` | `CASE-014` | `assets/images/0987c43afc/case-014/explicit_02_page_001.png` | p.4, Table 1 | table | +| `task3:0987c43afc:case-014` | `CASE-014` | `assets/images/0987c43afc/case-014/explicit_03_page_001.png` | p.4, Table 1 | table | +| `task3:0987c43afc:case-014` | `CASE-014` | `assets/images/0987c43afc/case-014/explicit_04_page_001.png` | p.4, Table 1 | table | + +## https://doi.org/10.1038/srep08266 + +- Ссылка на статью: https://doi.org/10.1038/srep08266 +- Название: Ultrasensitive optical absorp-tion in graphene based on bound states in the continu-um +- Идентификаторы: doi: 10.1038/srep08266 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:64495d27da:case-004` | `CASE-004` | `assets/images/64495d27da/case-004/explicit_01_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-004` | `CASE-004` | `assets/images/64495d27da/case-004/explicit_02_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-004` | `CASE-004` | `assets/images/64495d27da/case-004/explicit_03_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-004` | `CASE-004` | `assets/images/64495d27da/case-004/explicit_04_page_001.png` | p.2, Fig.1 | figure | + +## https://doi.org/10.1039/D5DD00155B + +- Ссылка на статью: https://doi.org/10.1039/D5DD00155B +- Название: Deep learning methods for 2D material electronic properties +- Идентификаторы: 10.1039/D5DD00155B +- Использовано изображений/страниц: 20 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:0987c43afc:case-001` | `CASE-001` | `assets/images/0987c43afc/case-001/explicit_01_page_001.png` | p.5-6, Table 1 | table | +| `task3:0987c43afc:case-001` | `CASE-001` | `assets/images/0987c43afc/case-001/explicit_02_page_001.png` | p.5-6, Table 1 | table | +| `task3:0987c43afc:case-001` | `CASE-001` | `assets/images/0987c43afc/case-001/explicit_03_page_001.png` | p.5-6, Table 1 | table | +| `task3:0987c43afc:case-001` | `CASE-001` | `assets/images/0987c43afc/case-001/explicit_04_page_001.png` | p.5-6, Table 1 | table | +| `task3:0987c43afc:case-002` | `CASE-002` | `assets/images/0987c43afc/case-002/explicit_01_page_001.png` | p.7, Fig. 1 | figure | +| `task3:0987c43afc:case-002` | `CASE-002` | `assets/images/0987c43afc/case-002/explicit_02_page_001.png` | p.7, Fig. 1 | figure | +| `task3:0987c43afc:case-002` | `CASE-002` | `assets/images/0987c43afc/case-002/explicit_03_page_001.png` | p.7, Fig. 1 | figure | +| `task3:0987c43afc:case-002` | `CASE-002` | `assets/images/0987c43afc/case-002/explicit_04_page_001.png` | p.7, Fig. 1 | figure | +| `task3:0987c43afc:case-003` | `CASE-003` | `assets/images/0987c43afc/case-003/explicit_01_page_013.png` | p. 13-14, Table 3 | table | +| `task3:0987c43afc:case-003` | `CASE-003` | `assets/images/0987c43afc/case-003/explicit_02_page_013.png` | p. 13-14, Table 3 | table | +| `task3:0987c43afc:case-003` | `CASE-003` | `assets/images/0987c43afc/case-003/explicit_03_page_003.png` | p. 13-14, Table 3 | table | +| `task3:0987c43afc:case-003` | `CASE-003` | `assets/images/0987c43afc/case-003/explicit_04_page_003.png` | p. 13-14, Table 3 | table | +| `task3:0987c43afc:case-004` | `CASE-004` | `assets/images/0987c43afc/case-004/explicit_01_page_004.png` | p.16, Table 4 | table | +| `task3:0987c43afc:case-004` | `CASE-004` | `assets/images/0987c43afc/case-004/explicit_02_page_004.png` | p.16, Table 4 | table | +| `task3:0987c43afc:case-004` | `CASE-004` | `assets/images/0987c43afc/case-004/explicit_03_page_004.png` | p.16, Table 4 | table | +| `task3:0987c43afc:case-004` | `CASE-004` | `assets/images/0987c43afc/case-004/explicit_04_page_004.png` | p.16, Table 4 | table | +| `task3:0987c43afc:case-005` | `CASE-005` | `assets/images/0987c43afc/case-005/explicit_01_page_000.png` | p.28-29 | page | +| `task3:0987c43afc:case-005` | `CASE-005` | `assets/images/0987c43afc/case-005/explicit_02_page_000.png` | p.28-29 | page | +| `task3:0987c43afc:case-005` | `CASE-005` | `assets/images/0987c43afc/case-005/explicit_03_page_000.png` | p.28-29 | page | +| `task3:0987c43afc:case-005` | `CASE-005` | `assets/images/0987c43afc/case-005/explicit_04_page_000.png` | p.28-29 | page | + +## https://doi.org/10.1063/1.5023304 + +- Ссылка на статью: https://doi.org/10.1063/1.5023304 +- Название: Deviation from Equilibrium Conditions in Molecular Dynamic Simulations of Homogeneous Nucleation +- Идентификаторы: doi:10.1063/1.5023304 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-004` | `CASE-004` | `assets/images/168bdb55d7/case-004/explicit_01_page_004.png` | Page 7, Figures 3–4; page 8, Figure 5; page 6, Table I. The strongest diagnostic anchor is Figure 4, with Table I needed for the numerical MC–MD comparison. | figure_or_table | +| `task3:168bdb55d7:case-004` | `CASE-004` | `assets/images/168bdb55d7/case-004/explicit_02_page_004.png` | Page 7, Figures 3–4; page 8, Figure 5; page 6, Table I. The strongest diagnostic anchor is Figure 4, with Table I needed for the numerical MC–MD comparison. | figure_or_table | +| `task3:168bdb55d7:case-004` | `CASE-004` | `assets/images/168bdb55d7/case-004/explicit_03_page_004.png` | Page 7, Figures 3–4; page 8, Figure 5; page 6, Table I. The strongest diagnostic anchor is Figure 4, with Table I needed for the numerical MC–MD comparison. | figure_or_table | +| `task3:168bdb55d7:case-004` | `CASE-004` | `assets/images/168bdb55d7/case-004/explicit_04_page_004.png` | Page 7, Figures 3–4; page 8, Figure 5; page 6, Table I. The strongest diagnostic anchor is Figure 4, with Table I needed for the numerical MC–MD comparison. | figure_or_table | + +## https://doi.org/10.1063/5.0021477 + +- Ссылка на статью: https://doi.org/10.1063/5.0021477 +- Название: Homogeneous Water Nucleation: Experimental Study on Pressure and Carrier Gas Effects +- Идентификаторы: doi:10.1063/5.0021477 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-012` | `CASE-012` | `assets/images/168bdb55d7/case-012/explicit_01_page_011.png` | Page 8, Figures 6–7; page 9, Figure 8; page 10, Figures 9–10; later discussion around Figure 11 and Table I. The strongest diagnostic anchor is Figure 11/Table I for high-pressure adsorption effects, with Figure 2 and Figure 13/Table II useful for low-pressure non-isothermal thermalization effects. | figure_or_table | +| `task3:168bdb55d7:case-012` | `CASE-012` | `assets/images/168bdb55d7/case-012/explicit_02_page_011.png` | Page 8, Figures 6–7; page 9, Figure 8; page 10, Figures 9–10; later discussion around Figure 11 and Table I. The strongest diagnostic anchor is Figure 11/Table I for high-pressure adsorption effects, with Figure 2 and Figure 13/Table II useful for low-pressure non-isothermal thermalization effects. | figure_or_table | +| `task3:168bdb55d7:case-012` | `CASE-012` | `assets/images/168bdb55d7/case-012/explicit_03_page_008.png` | Page 8, Figures 6–7; page 9, Figure 8; page 10, Figures 9–10; later discussion around Figure 11 and Table I. The strongest diagnostic anchor is Figure 11/Table I for high-pressure adsorption effects, with Figure 2 and Figure 13/Table II useful for low-pressure non-isothermal thermalization effects. | figure_or_table | +| `task3:168bdb55d7:case-012` | `CASE-012` | `assets/images/168bdb55d7/case-012/explicit_04_page_008.png` | Page 8, Figures 6–7; page 9, Figure 8; page 10, Figures 9–10; later discussion around Figure 11 and Table I. The strongest diagnostic anchor is Figure 11/Table I for high-pressure adsorption effects, with Figure 2 and Figure 13/Table II useful for low-pressure non-isothermal thermalization effects. | figure_or_table | + +## https://doi.org/10.1063/5.0105963 + +- Ссылка на статью: https://doi.org/10.1063/5.0105963 +- Название: Nonlinear exceptional-point lasing with ab initio Maxwell– Bloch theory +- Идентификаторы: doi: 10.1063/5.0105963 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:64495d27da:case-001` | `CASE-001` | `assets/images/64495d27da/case-001/explicit_01_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-001` | `CASE-001` | `assets/images/64495d27da/case-001/explicit_02_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-001` | `CASE-001` | `assets/images/64495d27da/case-001/explicit_03_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-001` | `CASE-001` | `assets/images/64495d27da/case-001/explicit_04_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-007` | `CASE-007` | `assets/images/64495d27da/case-007/explicit_01_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-007` | `CASE-007` | `assets/images/64495d27da/case-007/explicit_02_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-007` | `CASE-007` | `assets/images/64495d27da/case-007/explicit_03_page_001.png` | p.2, Fig.1 | figure | +| `task3:64495d27da:case-007` | `CASE-007` | `assets/images/64495d27da/case-007/explicit_04_page_001.png` | p.2, Fig.1 | figure | + +## https://doi.org/10.1063/5.0151624 + +- Ссылка на статью: https://doi.org/10.1063/5.0151624 +- Название: Modeling the functional heterogeneity and conditions for the occurrence of microreentry in procedurally created atrial fibrous tissue +- Идентификаторы: doi:10.1063/5.0151624 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:c5c57bba7e:case-012` | `CASE-012` | `assets/images/c5c57bba7e/case-012/explicit_01_page_000.png` | Methods | page | +| `task3:c5c57bba7e:case-012` | `CASE-012` | `assets/images/c5c57bba7e/case-012/explicit_02_page_000.png` | Methods | page | +| `task3:c5c57bba7e:case-012` | `CASE-012` | `assets/images/c5c57bba7e/case-012/explicit_03_page_000.png` | Methods | page | +| `task3:c5c57bba7e:case-012` | `CASE-012` | `assets/images/c5c57bba7e/case-012/explicit_04_page_000.png` | Methods | page | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-006` | `CASE-006` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-006/explicit_01_page_000.png` | Figures/tables with procedurally created atrial fibrous tissue, heterogeneity settings and microreentry conditions | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-006` | `CASE-006` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-006/explicit_02_page_000.png` | Figures/tables with procedurally created atrial fibrous tissue, heterogeneity settings and microreentry conditions | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-006` | `CASE-006` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-006/explicit_03_page_000.png` | Figures/tables with procedurally created atrial fibrous tissue, heterogeneity settings and microreentry conditions | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-006` | `CASE-006` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-006/explicit_04_page_000.png` | Figures/tables with procedurally created atrial fibrous tissue, heterogeneity settings and microreentry conditions | figure_or_table | + +## https://doi.org/10.1063/5.0218178 + +- Ссылка на статью: https://doi.org/10.1063/5.0218178 +- Название: A COmpact spectrometer for measurements of neutrons at the ASDEX upgrade tokamak +- Идентификаторы: 10.1063/5.0218178 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-018` | `CASE-018` | `assets/images/168bdb55d7/case-018/explicit_01_page_005.png` | Fig.5 | figure | +| `task3:168bdb55d7:case-018` | `CASE-018` | `assets/images/168bdb55d7/case-018/explicit_02_page_005.png` | Fig.5 | figure | +| `task3:168bdb55d7:case-018` | `CASE-018` | `assets/images/168bdb55d7/case-018/explicit_03_page_005.png` | Fig.5 | figure | +| `task3:168bdb55d7:case-018` | `CASE-018` | `assets/images/168bdb55d7/case-018/explicit_04_page_005.png` | Fig.5 | figure | + +## https://doi.org/10.1070/PU1997v040n11ABEH000308 + +- Ссылка на статью: https://doi.org/10.1070/PU1997v040n11ABEH000308 +- Название: Quasicrystalline structures in strongly coupled dusty plasma +- Идентификаторы: DOI:10.1070/PU1997v040n11ABEH000308 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:f0377dec26:case-002` | `CASE-002` | `assets/images/f0377dec26/case-002/explicit_01_page_004.png` | p.1166, Fig.4 | figure | +| `task3:f0377dec26:case-002` | `CASE-002` | `assets/images/f0377dec26/case-002/explicit_02_page_004.png` | p.1166, Fig.4 | figure | +| `task3:f0377dec26:case-002` | `CASE-002` | `assets/images/f0377dec26/case-002/explicit_03_page_004.png` | p.1166, Fig.4 | figure | +| `task3:f0377dec26:case-002` | `CASE-002` | `assets/images/f0377dec26/case-002/explicit_04_page_004.png` | p.1166, Fig.4 | figure | +| `task3:f0377dec26:case-003` | `CASE-003` | `assets/images/f0377dec26/case-003/explicit_01_page_005.png` | p.1166, Fig.5 | figure_or_table | +| `task3:f0377dec26:case-003` | `CASE-003` | `assets/images/f0377dec26/case-003/explicit_02_page_005.png` | p.1166, Fig.5 | figure_or_table | +| `task3:f0377dec26:case-003` | `CASE-003` | `assets/images/f0377dec26/case-003/explicit_03_page_005.png` | p.1166, Fig.5 | figure_or_table | +| `task3:f0377dec26:case-003` | `CASE-003` | `assets/images/f0377dec26/case-003/explicit_04_page_005.png` | p.1166, Fig.5 | figure_or_table | + +## https://doi.org/10.1073/pnas.1700342114 + +- Ссылка на статью: https://doi.org/10.1073/pnas.1700342114 +- Название: A classical view on nonclassical nucleation +- Идентификаторы: doi:10.1073/pnas.1700342114 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-008` | `CASE-008` | `assets/images/168bdb55d7/case-008/explicit_01_page_004.png` | Page 4, Figures 3–4; page 6, Figure 7; page 7, Figures 8–9. The strongest diagnostic anchor is the sequence Figure 3 → Figure 4 → Figure 8 → Figure 9. | mixed | +| `task3:168bdb55d7:case-008` | `CASE-008` | `assets/images/168bdb55d7/case-008/explicit_02_page_004.png` | Page 4, Figures 3–4; page 6, Figure 7; page 7, Figures 8–9. The strongest diagnostic anchor is the sequence Figure 3 → Figure 4 → Figure 8 → Figure 9. | mixed | +| `task3:168bdb55d7:case-008` | `CASE-008` | `assets/images/168bdb55d7/case-008/explicit_03_page_004.png` | Page 4, Figures 3–4; page 6, Figure 7; page 7, Figures 8–9. The strongest diagnostic anchor is the sequence Figure 3 → Figure 4 → Figure 8 → Figure 9. | mixed | +| `task3:168bdb55d7:case-008` | `CASE-008` | `assets/images/168bdb55d7/case-008/explicit_04_page_004.png` | Page 4, Figures 3–4; page 6, Figure 7; page 7, Figures 8–9. The strongest diagnostic anchor is the sequence Figure 3 → Figure 4 → Figure 8 → Figure 9. | mixed | + +## https://doi.org/10.1073/pnas.2113059119 + +- Ссылка на статью: https://doi.org/10.1073/pnas.2113059119 +- Название: Two-Step Nucleation of the Earth’s Inner Core +- Идентификаторы: doi:10.1073/pnas.2113059119 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_01_page_005.png` | Page 5, Figure 4; especially Figure 4a nucleation rate vs. undercooling and Figure 4b waiting time vs. undercooling. Figure 5 on page 5 is useful as the mechanism schematic. | figure | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_02_page_005.png` | Page 5, Figure 4; especially Figure 4a nucleation rate vs. undercooling and Figure 4b waiting time vs. undercooling. Figure 5 on page 5 is useful as the mechanism schematic. | figure | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_03_page_005.png` | Page 5, Figure 4; especially Figure 4a nucleation rate vs. undercooling and Figure 4b waiting time vs. undercooling. Figure 5 on page 5 is useful as the mechanism schematic. | figure | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_04_page_005.png` | Page 5, Figure 4; especially Figure 4a nucleation rate vs. undercooling and Figure 4b waiting time vs. undercooling. Figure 5 on page 5 is useful as the mechanism schematic. | figure | + +## https://doi.org/10.1073/pnas.2201955119 + +- Ссылка на статью: https://doi.org/10.1073/pnas.2201955119 +- Название: Nonisothermal Nucleation in the Gas Phase Is Driven by Cool Subcritical Clusters +- Идентификаторы: doi:10.1073/pnas.2201955119 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-011` | `CASE-011` | `assets/images/168bdb55d7/case-011/explicit_01_page_003.png` | Page 5, Figure 4; page 4, Figure 3; page 3, Figure 2. The strongest diagnostic anchor is Figure 4A–B. | figure | +| `task3:168bdb55d7:case-011` | `CASE-011` | `assets/images/168bdb55d7/case-011/explicit_02_page_003.png` | Page 5, Figure 4; page 4, Figure 3; page 3, Figure 2. The strongest diagnostic anchor is Figure 4A–B. | figure | +| `task3:168bdb55d7:case-011` | `CASE-011` | `assets/images/168bdb55d7/case-011/explicit_03_page_003.png` | Page 5, Figure 4; page 4, Figure 3; page 3, Figure 2. The strongest diagnostic anchor is Figure 4A–B. | figure | +| `task3:168bdb55d7:case-011` | `CASE-011` | `assets/images/168bdb55d7/case-011/explicit_04_page_003.png` | Page 5, Figure 4; page 4, Figure 3; page 3, Figure 2. The strongest diagnostic anchor is Figure 4A–B. | figure | + +## https://doi.org/10.1088/0022-3719/6/7/010 + +- Ссылка на статью: https://doi.org/10.1088/0022-3719/6/7/010 +- Название: Ordering, Metastability and Phase Transitions in Two-Dimensional Systems +- Идентификаторы: DOI:10.1088/0022-3719/6/7/010 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:f0377dec26:case-001` | `CASE-001` | `assets/images/f0377dec26/case-001/explicit_01_page_012.png` | p.1191–1192, Fig.1 & Fig.2 | figure_or_table | +| `task3:f0377dec26:case-001` | `CASE-001` | `assets/images/f0377dec26/case-001/explicit_02_page_012.png` | p.1191–1192, Fig.1 & Fig.2 | figure_or_table | +| `task3:f0377dec26:case-001` | `CASE-001` | `assets/images/f0377dec26/case-001/explicit_03_page_001.png` | p.1191–1192, Fig.1 & Fig.2 | figure_or_table | +| `task3:f0377dec26:case-001` | `CASE-001` | `assets/images/f0377dec26/case-001/explicit_04_page_001.png` | p.1191–1192, Fig.1 & Fig.2 | figure_or_table | + +## https://doi.org/10.1088/1361-6471/adeda7 + +- Ссылка на статью: https://doi.org/10.1088/1361-6471/adeda7 +- Название: A prototype neutron-detector array for future deep-underground s-process studies +- Идентификаторы: 10.1088/1361-6471/adeda7 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_01_page_006.png` | p.9, Fig. 6 | figure_or_table | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_02_page_006.png` | p.9, Fig. 6 | figure_or_table | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_03_page_016.png` | p.9, Fig. 6 | figure_or_table | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_04_page_016.png` | p.9, Fig. 6 | figure_or_table | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_01_page_009.png` | p.11, Fig. 9 | figure_or_table | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_02_page_009.png` | p.11, Fig. 9 | figure_or_table | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_03_page_019.png` | p.11, Fig. 9 | figure_or_table | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_04_page_019.png` | p.11, Fig. 9 | figure_or_table | +| `task3:168bdb55d7:case-017` | `CASE-017` | `assets/images/168bdb55d7/case-017/explicit_01_page_002.png` | p.5, Fig. 2 | figure_or_table | +| `task3:168bdb55d7:case-017` | `CASE-017` | `assets/images/168bdb55d7/case-017/explicit_02_page_002.png` | p.5, Fig. 2 | figure_or_table | +| `task3:168bdb55d7:case-017` | `CASE-017` | `assets/images/168bdb55d7/case-017/explicit_03_page_002.png` | p.5, Fig. 2 | figure_or_table | +| `task3:168bdb55d7:case-017` | `CASE-017` | `assets/images/168bdb55d7/case-017/explicit_04_page_002.png` | p.5, Fig. 2 | figure_or_table | + +## https://doi.org/10.1088/1361-6501/ad8f4e + +- Ссылка на статью: https://doi.org/10.1088/1361-6501/ad8f4e +- Название: A chlorine based detector (LaCl3(Ce)) for 2.5 MeV neutron spectroscopy +- Идентификаторы: 10.1088/1361-6501/ad8f4e +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_01_page_011.png` | p.6, Fig. 11 | figure_or_table | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_02_page_011.png` | p.6, Fig. 11 | figure_or_table | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_03_page_006.png` | p.6, Fig. 11 | figure_or_table | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_04_page_006.png` | p.6, Fig. 11 | figure_or_table | +| `task3:168bdb55d7:case-015` | `CASE-015` | `assets/images/168bdb55d7/case-015/explicit_01_page_002.png` | p.3, Fig. 2 | figure_or_table | +| `task3:168bdb55d7:case-015` | `CASE-015` | `assets/images/168bdb55d7/case-015/explicit_02_page_002.png` | p.3, Fig. 2 | figure_or_table | +| `task3:168bdb55d7:case-015` | `CASE-015` | `assets/images/168bdb55d7/case-015/explicit_03_page_002.png` | p.3, Fig. 2 | figure_or_table | +| `task3:168bdb55d7:case-015` | `CASE-015` | `assets/images/168bdb55d7/case-015/explicit_04_page_002.png` | p.3, Fig. 2 | figure_or_table | +| `task3:168bdb55d7:case-016` | `CASE-016` | `assets/images/168bdb55d7/case-016/explicit_01_page_005.png` | p.5, Fig. 5 | figure_or_table | +| `task3:168bdb55d7:case-016` | `CASE-016` | `assets/images/168bdb55d7/case-016/explicit_02_page_005.png` | p.5, Fig. 5 | figure_or_table | +| `task3:168bdb55d7:case-016` | `CASE-016` | `assets/images/168bdb55d7/case-016/explicit_03_page_005.png` | p.5, Fig. 5 | figure_or_table | +| `task3:168bdb55d7:case-016` | `CASE-016` | `assets/images/168bdb55d7/case-016/explicit_04_page_005.png` | p.5, Fig. 5 | figure_or_table | + +## https://doi.org/10.1088/1361-6587/add9c9 + +- Ссылка на статью: https://doi.org/10.1088/1361-6587/add9c9 +- Название: The new ITER baseline, research plan and open R&D issues +- Идентификаторы: 10.1088/1361-6587/add9c9 +- Использовано изображений/страниц: 20 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_01_page_006.png` | p.6, Fig. 6 | figure_or_table | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_02_page_006.png` | p.6, Fig. 6 | figure_or_table | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_03_page_016.png` | p.6, Fig. 6 | figure_or_table | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_04_page_016.png` | p.6, Fig. 6 | figure_or_table | +| `task3:168bdb55d7:case-04` | `CASE-04` | `assets/images/168bdb55d7/case-04/explicit_01_page_001.png` | p.22, Table 1 | table | +| `task3:168bdb55d7:case-04` | `CASE-04` | `assets/images/168bdb55d7/case-04/explicit_02_page_001.png` | p.22, Table 1 | table | +| `task3:168bdb55d7:case-04` | `CASE-04` | `assets/images/168bdb55d7/case-04/explicit_03_page_001.png` | p.22, Table 1 | table | +| `task3:168bdb55d7:case-04` | `CASE-04` | `assets/images/168bdb55d7/case-04/explicit_04_page_001.png` | p.22, Table 1 | table | +| `task3:168bdb55d7:case-012` | `CASE-012` | `assets/images/168bdb55d7/case-012/explicit_01_page_001.png` | p.4, Fig. 1 | figure_or_table | +| `task3:168bdb55d7:case-012` | `CASE-012` | `assets/images/168bdb55d7/case-012/explicit_02_page_001.png` | p.4, Fig. 1 | figure_or_table | +| `task3:168bdb55d7:case-012` | `CASE-012` | `assets/images/168bdb55d7/case-012/explicit_03_page_001.png` | p.4, Fig. 1 | figure_or_table | +| `task3:168bdb55d7:case-012` | `CASE-012` | `assets/images/168bdb55d7/case-012/explicit_04_page_001.png` | p.4, Fig. 1 | figure_or_table | +| `task3:168bdb55d7:case-013` | `CASE-013` | `assets/images/168bdb55d7/case-013/explicit_01_page_005.png` | p.6, Fig.5 | figure_or_table | +| `task3:168bdb55d7:case-013` | `CASE-013` | `assets/images/168bdb55d7/case-013/explicit_02_page_005.png` | p.6, Fig.5 | figure_or_table | +| `task3:168bdb55d7:case-013` | `CASE-013` | `assets/images/168bdb55d7/case-013/explicit_03_page_005.png` | p.6, Fig.5 | figure_or_table | +| `task3:168bdb55d7:case-013` | `CASE-013` | `assets/images/168bdb55d7/case-013/explicit_04_page_005.png` | p.6, Fig.5 | figure_or_table | +| `task3:168bdb55d7:case-014` | `CASE-014` | `assets/images/168bdb55d7/case-014/explicit_01_page_008.png` | p.7, Fig.8 | figure_or_table | +| `task3:168bdb55d7:case-014` | `CASE-014` | `assets/images/168bdb55d7/case-014/explicit_02_page_008.png` | p.7, Fig.8 | figure_or_table | +| `task3:168bdb55d7:case-014` | `CASE-014` | `assets/images/168bdb55d7/case-014/explicit_03_page_018.png` | p.7, Fig.8 | figure_or_table | +| `task3:168bdb55d7:case-014` | `CASE-014` | `assets/images/168bdb55d7/case-014/explicit_04_page_018.png` | p.7, Fig.8 | figure_or_table | + +## https://doi.org/10.1088/1742-6596/653/1/012103 + +- Ссылка на статью: https://doi.org/10.1088/1742-6596/653/1/012103 +- Название: Hexatic phase in two-dimensional Yukawa systems: Existence and properties +- Идентификаторы: DOI 10.1088/1742-6596/653/1/012103 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:f0377dec26:case-007` | `CASE-007` | `assets/images/f0377dec26/case-007/explicit_01_page_013.png` | p.3-4, Fig.1 & Fig.3 | figure | +| `task3:f0377dec26:case-007` | `CASE-007` | `assets/images/f0377dec26/case-007/explicit_02_page_013.png` | p.3-4, Fig.1 & Fig.3 | figure | +| `task3:f0377dec26:case-007` | `CASE-007` | `assets/images/f0377dec26/case-007/explicit_03_page_003.png` | p.3-4, Fig.1 & Fig.3 | figure | +| `task3:f0377dec26:case-007` | `CASE-007` | `assets/images/f0377dec26/case-007/explicit_04_page_003.png` | p.3-4, Fig.1 & Fig.3 | figure | +| `task3:f0377dec26:case-008` | `CASE-008` | `assets/images/f0377dec26/case-008/explicit_01_page_005.png` | p.4–5, Fig.5 & Fig.6 | figure | +| `task3:f0377dec26:case-008` | `CASE-008` | `assets/images/f0377dec26/case-008/explicit_02_page_005.png` | p.4–5, Fig.5 & Fig.6 | figure | +| `task3:f0377dec26:case-008` | `CASE-008` | `assets/images/f0377dec26/case-008/explicit_03_page_005.png` | p.4–5, Fig.5 & Fig.6 | figure | +| `task3:f0377dec26:case-008` | `CASE-008` | `assets/images/f0377dec26/case-008/explicit_04_page_005.png` | p.4–5, Fig.5 & Fig.6 | figure | + +## https://doi.org/10.1103/PhysRevE.103.033305 + +- Ссылка на статью: https://doi.org/10.1103/PhysRevE.103.033305 +- Название: Predicting Nucleation Using Machine Learning in the Ising Model +- Идентификаторы: doi:10.1103/PhysRevE.103.033305 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_01_page_011.png` | Page 16, Figure 11; page 17, Figure 12. Page 11, Figure 5 is useful for the performance trend, and page 15, Figure 10 is a simpler control case for the occlusion-map interpretation. | figure | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_02_page_011.png` | Page 16, Figure 11; page 17, Figure 12. Page 11, Figure 5 is useful for the performance trend, and page 15, Figure 10 is a simpler control case for the occlusion-map interpretation. | figure | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_03_page_015.png` | Page 16, Figure 11; page 17, Figure 12. Page 11, Figure 5 is useful for the performance trend, and page 15, Figure 10 is a simpler control case for the occlusion-map interpretation. | figure | +| `task3:168bdb55d7:case-006` | `CASE-006` | `assets/images/168bdb55d7/case-006/explicit_04_page_015.png` | Page 16, Figure 11; page 17, Figure 12. Page 11, Figure 5 is useful for the performance trend, and page 15, Figure 10 is a simpler control case for the occlusion-map interpretation. | figure | + +## https://doi.org/10.1103/PhysRevE.47.2128 + +- Ссылка на статью: https://doi.org/10.1103/PhysRevE.47.2128 +- Название: Simulation of the differential adhesion driven rearrangement of biological cells +- Идентификаторы: 10.1103/PhysRevE.47.2128, doi:10.1103/PhysRevE.47.2128 +- Использовано изображений/страниц: 16 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:c5c57bba7e:case-006` | `CASE-006` | `assets/images/c5c57bba7e/case-006/explicit_01_page_000.png` | Fig 5a | figure | +| `task3:c5c57bba7e:case-006` | `CASE-006` | `assets/images/c5c57bba7e/case-006/explicit_02_page_000.png` | Fig 5a | figure | +| `task3:c5c57bba7e:case-006` | `CASE-006` | `assets/images/c5c57bba7e/case-006/explicit_03_page_000.png` | Fig 5a | figure | +| `task3:c5c57bba7e:case-006` | `CASE-006` | `assets/images/c5c57bba7e/case-006/explicit_04_page_000.png` | Fig 5a | figure | +| `task3:c5c57bba7e:case-007` | `CASE-007` | `assets/images/c5c57bba7e/case-007/explicit_01_page_000.png` | Fig 13c | figure | +| `task3:c5c57bba7e:case-007` | `CASE-007` | `assets/images/c5c57bba7e/case-007/explicit_02_page_000.png` | Fig 13c | figure | +| `task3:c5c57bba7e:case-007` | `CASE-007` | `assets/images/c5c57bba7e/case-007/explicit_03_page_000.png` | Fig 13c | figure | +| `task3:c5c57bba7e:case-007` | `CASE-007` | `assets/images/c5c57bba7e/case-007/explicit_04_page_000.png` | Fig 13c | figure | +| `task3:c5c57bba7e:case-008` | `CASE-008` | `assets/images/c5c57bba7e/case-008/explicit_01_page_000.png` | Fig 19b | figure | +| `task3:c5c57bba7e:case-008` | `CASE-008` | `assets/images/c5c57bba7e/case-008/explicit_02_page_000.png` | Fig 19b | figure | +| `task3:c5c57bba7e:case-008` | `CASE-008` | `assets/images/c5c57bba7e/case-008/explicit_03_page_000.png` | Fig 19b | figure | +| `task3:c5c57bba7e:case-008` | `CASE-008` | `assets/images/c5c57bba7e/case-008/explicit_04_page_000.png` | Fig 19b | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-003` | `CASE-003` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-003/explicit_01_page_000.png` | Simulation snapshots and parameter tables for differential adhesion / extended Potts model | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-003` | `CASE-003` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-003/explicit_02_page_000.png` | Simulation snapshots and parameter tables for differential adhesion / extended Potts model | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-003` | `CASE-003` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-003/explicit_03_page_000.png` | Simulation snapshots and parameter tables for differential adhesion / extended Potts model | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-003` | `CASE-003` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-003/explicit_04_page_000.png` | Simulation snapshots and parameter tables for differential adhesion / extended Potts model | figure_or_table | + +## https://doi.org/10.1103/PhysRevE.56.R21 + +- Ссылка на статью: https://doi.org/10.1103/PhysRevE.56.R21 +- Название: Nucleation and Growth: Decay of a Metastable State +- Идентификаторы: doi:10.1103/PhysRevE.56.R21 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-009` | `CASE-009` | `assets/images/168bdb55d7/case-009/explicit_01_page_012.png` | Page 2, Figure 1; page 3, Figures 2–3. The strongest diagnostic anchor is Figure 3, with Figure 2 providing the broader regime context. | figure | +| `task3:168bdb55d7:case-009` | `CASE-009` | `assets/images/168bdb55d7/case-009/explicit_02_page_012.png` | Page 2, Figure 1; page 3, Figures 2–3. The strongest diagnostic anchor is Figure 3, with Figure 2 providing the broader regime context. | figure | +| `task3:168bdb55d7:case-009` | `CASE-009` | `assets/images/168bdb55d7/case-009/explicit_03_page_013.png` | Page 2, Figure 1; page 3, Figures 2–3. The strongest diagnostic anchor is Figure 3, with Figure 2 providing the broader regime context. | figure | +| `task3:168bdb55d7:case-009` | `CASE-009` | `assets/images/168bdb55d7/case-009/explicit_04_page_013.png` | Page 2, Figure 1; page 3, Figures 2–3. The strongest diagnostic anchor is Figure 3, with Figure 2 providing the broader regime context. | figure | + +## https://doi.org/10.1109/JDT.2009.2034559 + +- Ссылка на статью: https://doi.org/10.1109/JDT.2009.2034559 +- Название: Origins of High Mobility and Low Operation Voltage of Amorphous Oxide TFTs: Electronic Structure, Electron Transport, Defects and Doping +- Идентификаторы: 10.1109/JDT.2009.2034559 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5c4536453d:case-004` | `CASE-004` | `assets/images/5c4536453d/case-004/explicit_01_page_000.png` | Fig.23b | figure | +| `task3:5c4536453d:case-004` | `CASE-004` | `assets/images/5c4536453d/case-004/explicit_02_page_000.png` | Fig.23b | figure | +| `task3:5c4536453d:case-004` | `CASE-004` | `assets/images/5c4536453d/case-004/explicit_03_page_000.png` | Fig.23b | figure | +| `task3:5c4536453d:case-004` | `CASE-004` | `assets/images/5c4536453d/case-004/explicit_04_page_000.png` | Fig.23b | figure | +| `task3:5c4536453d:case-005` | `CASE-005` | `assets/images/5c4536453d/case-005/explicit_01_page_000.png` | Fig.26b | figure | +| `task3:5c4536453d:case-005` | `CASE-005` | `assets/images/5c4536453d/case-005/explicit_02_page_000.png` | Fig.26b | figure | +| `task3:5c4536453d:case-005` | `CASE-005` | `assets/images/5c4536453d/case-005/explicit_03_page_000.png` | Fig.26b | figure | +| `task3:5c4536453d:case-005` | `CASE-005` | `assets/images/5c4536453d/case-005/explicit_04_page_000.png` | Fig.26b | figure | + +## https://doi.org/10.1115/1.3157744 + +- Ссылка на статью: https://doi.org/10.1115/1.3157744 +- Название: Fatigue Failure Criteria for Unidirectional Fiber Composites +- Идентификаторы: https://doi.org/10.1115/1.3157744 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_01_page_004.png` | p.4 formula 18; p5 formula 20,22 | formula | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_02_page_004.png` | p.4 formula 18; p5 formula 20,22 | formula | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_03_page_004.png` | p.4 formula 18; p5 formula 20,22 | formula | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_04_page_004.png` | p.4 formula 18; p5 formula 20,22 | formula | + +## https://doi.org/10.1126/science.1164271 + +- Ссылка на статью: https://doi.org/10.1126/science.1164271 +- Название: Stable prenucleation calcium carbonate clusters +- Идентификаторы: doi:10.1126/science.1164271 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_01_page_003.png` | Page 3, Figure 3; also interpret together with page 3 text around Figure 3 and Figure 4. | figure | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_02_page_003.png` | Page 3, Figure 3; also interpret together with page 3 text around Figure 3 and Figure 4. | figure | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_03_page_003.png` | Page 3, Figure 3; also interpret together with page 3 text around Figure 3 and Figure 4. | figure | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_04_page_003.png` | Page 3, Figure 3; also interpret together with page 3 text around Figure 3 and Figure 4. | figure | + +## https://doi.org/10.1134/S0021364024600782 + +- Ссылка на статью: https://doi.org/10.1134/S0021364024600782 +- Название: Discrete Anisotropy Model of Heterogeneous Cardiac Tissue Predicting the Occurrence of Symmetry Breaking of Reentrant Activity +- Идентификаторы: 10.1134/S0021364024600782 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:c5c57bba7e:case-004` | `CASE-004` | `assets/images/c5c57bba7e/case-004/explicit_01_page_001.png` | Fig 1 | figure | +| `task3:c5c57bba7e:case-004` | `CASE-004` | `assets/images/c5c57bba7e/case-004/explicit_02_page_001.png` | Fig 1 | figure | +| `task3:c5c57bba7e:case-004` | `CASE-004` | `assets/images/c5c57bba7e/case-004/explicit_03_page_001.png` | Fig 1 | figure | +| `task3:c5c57bba7e:case-004` | `CASE-004` | `assets/images/c5c57bba7e/case-004/explicit_04_page_001.png` | Fig 1 | figure | + +## https://doi.org/10.1137/0217058 + +- Ссылка на статью: https://doi.org/10.1137/0217058 +- Название: Nondeterministic Space is Closed Under Complementation +- Идентификаторы: doi: 10.1137/0217058 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_01_page_002.png` | p.2 | formula | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_02_page_002.png` | p.2 | formula | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_03_page_002.png` | p.2 | formula | +| `task3:168bdb55d7:case-001` | `CASE-001` | `assets/images/168bdb55d7/case-001/explicit_04_page_002.png` | p.2 | formula | + +## https://doi.org/10.1142/S0129054116400062 + +- Ссылка на статью: https://doi.org/10.1142/S0129054116400062 +- Название: Set Automata +- Идентификаторы: 10.1142/S0129054116400062 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_01_page_012.png` | p.12 | figure | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_02_page_012.png` | p.12 | figure | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_03_page_000.png` | p.12 | figure | +| `task3:168bdb55d7:case-002` | `CASE-002` | `assets/images/168bdb55d7/case-002/explicit_04_page_000.png` | p.12 | figure | + +## https://doi.org/10.1145/800135.804426 + +- Ссылка на статью: https://doi.org/10.1145/800135.804426 +- Название: Deterministic CFL's are accepted simultaneously in polynomial time and log squared space +- Идентификаторы: hps://dl.acm.org/doi/10.1145/800135.804426 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-004` | `CASE-004` | `assets/images/168bdb55d7/case-004/explicit_01_page_000.png` | | figure_or_table | +| `task3:168bdb55d7:case-004` | `CASE-004` | `assets/images/168bdb55d7/case-004/explicit_02_page_000.png` | | figure_or_table | +| `task3:168bdb55d7:case-004` | `CASE-004` | `assets/images/168bdb55d7/case-004/explicit_03_page_000.png` | | figure_or_table | +| `task3:168bdb55d7:case-004` | `CASE-004` | `assets/images/168bdb55d7/case-004/explicit_04_page_000.png` | | figure_or_table | + +## https://doi.org/10.1152/ajpheart.00794.2003 + +- Ссылка на статью: https://doi.org/10.1152/ajpheart.00794.2003 +- Название: A model for human ventricular tissue +- Идентификаторы: doi:10.1152/ajpheart.00794.2003 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-004` | `CASE-004` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-004/explicit_01_page_000.png` | Model equations / current definitions / AP trace and restitution-style figures | formula | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-004` | `CASE-004` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-004/explicit_02_page_000.png` | Model equations / current definitions / AP trace and restitution-style figures | formula | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-004` | `CASE-004` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-004/explicit_03_page_000.png` | Model equations / current definitions / AP trace and restitution-style figures | formula | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-004` | `CASE-004` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-004/explicit_04_page_000.png` | Model equations / current definitions / AP trace and restitution-style figures | formula | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-009` | `CASE-009` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-009/explicit_01_page_000.png` | AP traces / restitution curves / time-dependent gating variables in model outputs | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-009` | `CASE-009` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-009/explicit_02_page_000.png` | AP traces / restitution curves / time-dependent gating variables in model outputs | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-009` | `CASE-009` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-009/explicit_03_page_000.png` | AP traces / restitution curves / time-dependent gating variables in model outputs | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-009` | `CASE-009` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-009/explicit_04_page_000.png` | AP traces / restitution curves / time-dependent gating variables in model outputs | figure_or_table | + +## https://doi.org/10.1152/physrev.00025.2003 + +- Ссылка на статью: https://doi.org/10.1152/physrev.00025.2003 +- Название: Basic Mechanisms of Cardiac Impulse Propagation and Associated Arrhythmias +- Идентификаторы: doi:10.1152/physrev.00025.2003 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-011` | `CASE-011` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-011/explicit_01_page_000.png` | Abstract / introduction-level review summary | page | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-011` | `CASE-011` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-011/explicit_02_page_000.png` | Abstract / introduction-level review summary | page | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-011` | `CASE-011` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-011/explicit_03_page_000.png` | Abstract / introduction-level review summary | page | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-011` | `CASE-011` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-011/explicit_04_page_000.png` | Abstract / introduction-level review summary | page | + +## https://doi.org/10.1161/01.RES.0000130529.18016.35 + +- Ссылка на статью: https://doi.org/10.1161/01.RES.0000130529.18016.35 +- Название: Optical Imaging of the Heart +- Идентификаторы: doi:10.1161/01.RES.0000130529.18016.35 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-005` | `CASE-005` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-005/explicit_01_page_000.png` | Review figures/tables on optical mapping, voltage-sensitive dyes, activation and repolarization maps | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-005` | `CASE-005` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-005/explicit_02_page_000.png` | Review figures/tables on optical mapping, voltage-sensitive dyes, activation and repolarization maps | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-005` | `CASE-005` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-005/explicit_03_page_000.png` | Review figures/tables on optical mapping, voltage-sensitive dyes, activation and repolarization maps | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-005` | `CASE-005` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-005/explicit_04_page_000.png` | Review figures/tables on optical mapping, voltage-sensitive dyes, activation and repolarization maps | mixed | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-012` | `CASE-012` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-012/explicit_01_page_000.png` | Abstract / review overview of optical techniques in cardiac electrophysiology | page | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-012` | `CASE-012` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-012/explicit_02_page_000.png` | Abstract / review overview of optical techniques in cardiac electrophysiology | page | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-012` | `CASE-012` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-012/explicit_03_page_000.png` | Abstract / review overview of optical techniques in cardiac electrophysiology | page | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-012` | `CASE-012` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-012/explicit_04_page_000.png` | Abstract / review overview of optical techniques in cardiac electrophysiology | page | + +## https://doi.org/10.1371/journal.pcbi.1006597 + +- Ссылка на статью: https://doi.org/10.1371/journal.pcbi.1006597 +- Название: Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells +- Идентификаторы: 10.1371/journal.pcbi.1006597, doi:10.1371/journal.pcbi.1006597 +- Использовано изображений/страниц: 28 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:c5c57bba7e:case-001` | `CASE-001` | `assets/images/c5c57bba7e/case-001/explicit_01_page_000.png` | Fig 6b | figure | +| `task3:c5c57bba7e:case-001` | `CASE-001` | `assets/images/c5c57bba7e/case-001/explicit_02_page_000.png` | Fig 6b | figure | +| `task3:c5c57bba7e:case-001` | `CASE-001` | `assets/images/c5c57bba7e/case-001/explicit_03_page_000.png` | Fig 6b | figure | +| `task3:c5c57bba7e:case-001` | `CASE-001` | `assets/images/c5c57bba7e/case-001/explicit_04_page_000.png` | Fig 6b | figure | +| `task3:c5c57bba7e:case-002` | `CASE-002` | `assets/images/c5c57bba7e/case-002/explicit_01_page_001.png` | Table 1 | table | +| `task3:c5c57bba7e:case-002` | `CASE-002` | `assets/images/c5c57bba7e/case-002/explicit_02_page_001.png` | Table 1 | table | +| `task3:c5c57bba7e:case-002` | `CASE-002` | `assets/images/c5c57bba7e/case-002/explicit_03_page_001.png` | Table 1 | table | +| `task3:c5c57bba7e:case-002` | `CASE-002` | `assets/images/c5c57bba7e/case-002/explicit_04_page_001.png` | Table 1 | table | +| `task3:c5c57bba7e:case-003` | `CASE-003` | `assets/images/c5c57bba7e/case-003/explicit_01_page_000.png` | Eq 2 | formula | +| `task3:c5c57bba7e:case-003` | `CASE-003` | `assets/images/c5c57bba7e/case-003/explicit_02_page_000.png` | Eq 2 | formula | +| `task3:c5c57bba7e:case-003` | `CASE-003` | `assets/images/c5c57bba7e/case-003/explicit_03_page_000.png` | Eq 2 | formula | +| `task3:c5c57bba7e:case-003` | `CASE-003` | `assets/images/c5c57bba7e/case-003/explicit_04_page_000.png` | Eq 2 | formula | +| `task3:c5c57bba7e:case-011` | `CASE-011` | `assets/images/c5c57bba7e/case-011/explicit_01_page_000.png` | Abstract | page | +| `task3:c5c57bba7e:case-011` | `CASE-011` | `assets/images/c5c57bba7e/case-011/explicit_02_page_000.png` | Abstract | page | +| `task3:c5c57bba7e:case-011` | `CASE-011` | `assets/images/c5c57bba7e/case-011/explicit_03_page_000.png` | Abstract | page | +| `task3:c5c57bba7e:case-011` | `CASE-011` | `assets/images/c5c57bba7e/case-011/explicit_04_page_000.png` | Abstract | page | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-001` | `CASE-001` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-001/explicit_01_page_001.png` | Fig. 1: activation map, blocked regions, main propagation pathways, velocity decay and percolation threshold | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-001` | `CASE-001` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-001/explicit_02_page_001.png` | Fig. 1: activation map, blocked regions, main propagation pathways, velocity decay and percolation threshold | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-001` | `CASE-001` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-001/explicit_03_page_001.png` | Fig. 1: activation map, blocked regions, main propagation pathways, velocity decay and percolation threshold | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-001` | `CASE-001` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-001/explicit_04_page_001.png` | Fig. 1: activation map, blocked regions, main propagation pathways, velocity decay and percolation threshold | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-002` | `CASE-002` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-002/explicit_01_page_016.png` | Fig. 6 and Table 1: virtual monolayers, E bond conditions, velocity vs density, percolation threshold | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-002` | `CASE-002` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-002/explicit_02_page_016.png` | Fig. 6 and Table 1: virtual monolayers, E bond conditions, velocity vs density, percolation threshold | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-002` | `CASE-002` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-002/explicit_03_page_001.png` | Fig. 6 and Table 1: virtual monolayers, E bond conditions, velocity vs density, percolation threshold | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-002` | `CASE-002` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-002/explicit_04_page_001.png` | Fig. 6 and Table 1: virtual monolayers, E bond conditions, velocity vs density, percolation threshold | figure_or_table | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-008` | `CASE-008` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-008/explicit_01_page_000.png` | Fig. 1a and S1 Video: activation times, repeated blocks, delayed propagation into left/right regions | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-008` | `CASE-008` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-008/explicit_02_page_000.png` | Fig. 1a and S1 Video: activation times, repeated blocks, delayed propagation into left/right regions | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-008` | `CASE-008` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-008/explicit_03_page_000.png` | Fig. 1a and S1 Video: activation times, repeated blocks, delayed propagation into left/right regions | figure | +| `task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-008` | `CASE-008` | `assets/images/semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427/case-008/explicit_04_page_000.png` | Fig. 1a and S1 Video: activation times, repeated blocks, delayed propagation into left/right regions | figure | + +## https://doi.org/10.1371/journal.pone.0053653 + +- Ссылка на статью: https://doi.org/10.1371/journal.pone.0053653 +- Название: Fusobacterium Is Associated with Colorectal Adenomas +- Идентификаторы: doi:10.1371/journal.pone.0053653 +- Использовано изображений/страниц: 32 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:dosi_onur_task3:case-001` | `CASE-001` | `assets/images/dosi_onur_task3/case-001/explicit_01_page_001.png` | p.2, Fig.1 | figure | +| `task3:dosi_onur_task3:case-001` | `CASE-001` | `assets/images/dosi_onur_task3/case-001/explicit_02_page_001.png` | p.2, Fig.1 | figure | +| `task3:dosi_onur_task3:case-001` | `CASE-001` | `assets/images/dosi_onur_task3/case-001/explicit_03_page_001.png` | p.2, Fig.1 | figure | +| `task3:dosi_onur_task3:case-001` | `CASE-001` | `assets/images/dosi_onur_task3/case-001/explicit_04_page_001.png` | p.2, Fig.1 | figure | +| `task3:dosi_onur_task3:case-002` | `CASE-002` | `assets/images/dosi_onur_task3/case-002/explicit_01_page_002.png` | p.2, Table 2 | table | +| `task3:dosi_onur_task3:case-002` | `CASE-002` | `assets/images/dosi_onur_task3/case-002/explicit_02_page_002.png` | p.2, Table 2 | table | +| `task3:dosi_onur_task3:case-002` | `CASE-002` | `assets/images/dosi_onur_task3/case-002/explicit_03_page_002.png` | p.2, Table 2 | table | +| `task3:dosi_onur_task3:case-002` | `CASE-002` | `assets/images/dosi_onur_task3/case-002/explicit_04_page_002.png` | p.2, Table 2 | table | +| `task3:dosi_onur_task3:case-003` | `CASE-003` | `assets/images/dosi_onur_task3/case-003/explicit_01_page_003.png` | p.4, Fig.3 | figure | +| `task3:dosi_onur_task3:case-003` | `CASE-003` | `assets/images/dosi_onur_task3/case-003/explicit_02_page_003.png` | p.4, Fig.3 | figure | +| `task3:dosi_onur_task3:case-003` | `CASE-003` | `assets/images/dosi_onur_task3/case-003/explicit_03_page_003.png` | p.4, Fig.3 | figure | +| `task3:dosi_onur_task3:case-003` | `CASE-003` | `assets/images/dosi_onur_task3/case-003/explicit_04_page_003.png` | p.4, Fig.3 | figure | +| `task3:dosi_onur_task3:case-004` | `CASE-004` | `assets/images/dosi_onur_task3/case-004/explicit_01_page_004.png` | p.4, Fig.4 | figure | +| `task3:dosi_onur_task3:case-004` | `CASE-004` | `assets/images/dosi_onur_task3/case-004/explicit_02_page_004.png` | p.4, Fig.4 | figure | +| `task3:dosi_onur_task3:case-004` | `CASE-004` | `assets/images/dosi_onur_task3/case-004/explicit_03_page_004.png` | p.4, Fig.4 | figure | +| `task3:dosi_onur_task3:case-004` | `CASE-004` | `assets/images/dosi_onur_task3/case-004/explicit_04_page_004.png` | p.4, Fig.4 | figure | +| `task3:dosi_onur_task3:case-005` | `CASE-005` | `assets/images/dosi_onur_task3/case-005/explicit_01_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-005` | `CASE-005` | `assets/images/dosi_onur_task3/case-005/explicit_02_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-005` | `CASE-005` | `assets/images/dosi_onur_task3/case-005/explicit_03_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-005` | `CASE-005` | `assets/images/dosi_onur_task3/case-005/explicit_04_page_002.png` | p.3, Fig.2 | figure | +| `task3:dosi_onur_task3:case-006` | `CASE-006` | `assets/images/dosi_onur_task3/case-006/explicit_01_page_012.png` | p.2, Fig.1; Table 2 | figure_or_table | +| `task3:dosi_onur_task3:case-006` | `CASE-006` | `assets/images/dosi_onur_task3/case-006/explicit_02_page_012.png` | p.2, Fig.1; Table 2 | figure_or_table | +| `task3:dosi_onur_task3:case-006` | `CASE-006` | `assets/images/dosi_onur_task3/case-006/explicit_03_page_002.png` | p.2, Fig.1; Table 2 | figure_or_table | +| `task3:dosi_onur_task3:case-006` | `CASE-006` | `assets/images/dosi_onur_task3/case-006/explicit_04_page_002.png` | p.2, Fig.1; Table 2 | figure_or_table | +| `task3:dosi_onur_task3:case-008` | `CASE-008` | `assets/images/dosi_onur_task3/case-008/explicit_01_page_012.png` | p.2–4, Fig.1; Table 2; Fig.4 | figure_or_table | +| `task3:dosi_onur_task3:case-008` | `CASE-008` | `assets/images/dosi_onur_task3/case-008/explicit_02_page_012.png` | p.2–4, Fig.1; Table 2; Fig.4 | figure_or_table | +| `task3:dosi_onur_task3:case-008` | `CASE-008` | `assets/images/dosi_onur_task3/case-008/explicit_03_page_014.png` | p.2–4, Fig.1; Table 2; Fig.4 | figure_or_table | +| `task3:dosi_onur_task3:case-008` | `CASE-008` | `assets/images/dosi_onur_task3/case-008/explicit_04_page_014.png` | p.2–4, Fig.1; Table 2; Fig.4 | figure_or_table | +| `task3:dosi_onur_task3:case-011` | `CASE-011` | `assets/images/dosi_onur_task3/case-011/explicit_01_page_001.png` | p.1 | page | +| `task3:dosi_onur_task3:case-011` | `CASE-011` | `assets/images/dosi_onur_task3/case-011/explicit_02_page_001.png` | p.1 | page | +| `task3:dosi_onur_task3:case-011` | `CASE-011` | `assets/images/dosi_onur_task3/case-011/explicit_03_page_001.png` | p.1 | page | +| `task3:dosi_onur_task3:case-011` | `CASE-011` | `assets/images/dosi_onur_task3/case-011/explicit_04_page_001.png` | p.1 | page | + +## https://doi.org/10.1557/s43577-022-00407-1 + +- Ссылка на статью: https://doi.org/10.1557/s43577-022-00407-1 +- Название: Machine Learning for Molecular Simulations of Crystal Nucleation and Growth +- Идентификаторы: doi:10.1557/s43577-022-00407-1 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_01_page_002.png` | Page 6, Figure 3; especially panels 3b–3c. Page 4, Figure 2 is a useful secondary reference for reaction-coordinate quality. | figure | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_02_page_002.png` | Page 6, Figure 3; especially panels 3b–3c. Page 4, Figure 2 is a useful secondary reference for reaction-coordinate quality. | figure | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_03_page_002.png` | Page 6, Figure 3; especially panels 3b–3c. Page 4, Figure 2 is a useful secondary reference for reaction-coordinate quality. | figure | +| `task3:168bdb55d7:case-005` | `CASE-005` | `assets/images/168bdb55d7/case-005/explicit_04_page_002.png` | Page 6, Figure 3; especially panels 3b–3c. Page 4, Figure 2 is a useful secondary reference for reaction-coordinate quality. | figure | + +## https://doi.org/10.2139/ssrn.4084713 + +- Ссылка на статью: https://doi.org/10.2139/ssrn.4084713 +- Название: PGTCN: A Novel Password-Guessing Model Based on Temporal Convolution Network +- Идентификаторы: 10.2139/ssrn.4084713 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5ad3fe3294:case-007` | `CASE-007` | `assets/images/5ad3fe3294/case-007/explicit_01_page_005.png` | Table 5 | table | +| `task3:5ad3fe3294:case-007` | `CASE-007` | `assets/images/5ad3fe3294/case-007/explicit_02_page_005.png` | Table 5 | table | +| `task3:5ad3fe3294:case-007` | `CASE-007` | `assets/images/5ad3fe3294/case-007/explicit_03_page_005.png` | Table 5 | table | +| `task3:5ad3fe3294:case-007` | `CASE-007` | `assets/images/5ad3fe3294/case-007/explicit_04_page_005.png` | Table 5 | table | +| `task3:5ad3fe3294:case-008` | `CASE-008` | `assets/images/5ad3fe3294/case-008/explicit_01_page_009.png` | Fig. 9 | figure | +| `task3:5ad3fe3294:case-008` | `CASE-008` | `assets/images/5ad3fe3294/case-008/explicit_02_page_009.png` | Fig. 9 | figure | +| `task3:5ad3fe3294:case-008` | `CASE-008` | `assets/images/5ad3fe3294/case-008/explicit_03_page_019.png` | Fig. 9 | figure | +| `task3:5ad3fe3294:case-008` | `CASE-008` | `assets/images/5ad3fe3294/case-008/explicit_04_page_019.png` | Fig. 9 | figure | + +## https://doi.org/10.24294/jipd9441 + +- Ссылка на статью: https://doi.org/10.24294/jipd9441 +- Название: Enhancing secure access through time-stamped password analysis +- Идентификаторы: 10.24294/jipd9441 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:5ad3fe3294:case-009` | `CASE-009` | `assets/images/5ad3fe3294/case-009/explicit_01_page_003.png` | Fig. 3, Fig. 4, Fig. 5 | figure | +| `task3:5ad3fe3294:case-009` | `CASE-009` | `assets/images/5ad3fe3294/case-009/explicit_02_page_003.png` | Fig. 3, Fig. 4, Fig. 5 | figure | +| `task3:5ad3fe3294:case-009` | `CASE-009` | `assets/images/5ad3fe3294/case-009/explicit_03_page_003.png` | Fig. 3, Fig. 4, Fig. 5 | figure | +| `task3:5ad3fe3294:case-009` | `CASE-009` | `assets/images/5ad3fe3294/case-009/explicit_04_page_003.png` | Fig. 3, Fig. 4, Fig. 5 | figure | +| `task3:5ad3fe3294:case-010` | `CASE-010` | `assets/images/5ad3fe3294/case-010/explicit_01_page_002.png` | Table 2 | table | +| `task3:5ad3fe3294:case-010` | `CASE-010` | `assets/images/5ad3fe3294/case-010/explicit_02_page_002.png` | Table 2 | table | +| `task3:5ad3fe3294:case-010` | `CASE-010` | `assets/images/5ad3fe3294/case-010/explicit_03_page_002.png` | Table 2 | table | +| `task3:5ad3fe3294:case-010` | `CASE-010` | `assets/images/5ad3fe3294/case-010/explicit_04_page_002.png` | Table 2 | table | + +## https://doi.org/10.3390/aerospace12080655 + +- Ссылка на статью: https://doi.org/10.3390/aerospace12080655 +- Название: OSIRIS4CubeSat—The World’s Smallest Commercially Available Laser Communication Terminal +- Идентификаторы: 10.3390/aerospace12080655 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:ca35bd9ad6:case-010` | `CASE-010` | `assets/images/ca35bd9ad6/case-010/explicit_01_page_002.png` | p.5, Fig. 2 | figure_or_table | +| `task3:ca35bd9ad6:case-010` | `CASE-010` | `assets/images/ca35bd9ad6/case-010/explicit_02_page_002.png` | p.5, Fig. 2 | figure_or_table | +| `task3:ca35bd9ad6:case-010` | `CASE-010` | `assets/images/ca35bd9ad6/case-010/explicit_03_page_002.png` | p.5, Fig. 2 | figure_or_table | +| `task3:ca35bd9ad6:case-010` | `CASE-010` | `assets/images/ca35bd9ad6/case-010/explicit_04_page_002.png` | p.5, Fig. 2 | figure_or_table | +| `task3:ca35bd9ad6:case-011` | `CASE-011` | `assets/images/ca35bd9ad6/case-011/explicit_01_page_006.png` | p.8, Fig. 6 | mixed | +| `task3:ca35bd9ad6:case-011` | `CASE-011` | `assets/images/ca35bd9ad6/case-011/explicit_02_page_006.png` | p.8, Fig. 6 | mixed | +| `task3:ca35bd9ad6:case-011` | `CASE-011` | `assets/images/ca35bd9ad6/case-011/explicit_03_page_016.png` | p.8, Fig. 6 | mixed | +| `task3:ca35bd9ad6:case-011` | `CASE-011` | `assets/images/ca35bd9ad6/case-011/explicit_04_page_016.png` | p.8, Fig. 6 | mixed | +| `task3:ca35bd9ad6:case-012` | `CASE-012` | `assets/images/ca35bd9ad6/case-012/explicit_01_page_007.png` | p.7, Text section | page | +| `task3:ca35bd9ad6:case-012` | `CASE-012` | `assets/images/ca35bd9ad6/case-012/explicit_02_page_007.png` | p.7, Text section | page | +| `task3:ca35bd9ad6:case-012` | `CASE-012` | `assets/images/ca35bd9ad6/case-012/explicit_03_page_000.png` | p.7, Text section | page | +| `task3:ca35bd9ad6:case-012` | `CASE-012` | `assets/images/ca35bd9ad6/case-012/explicit_04_page_000.png` | p.7, Text section | page | + +## https://doi.org/10.3390/biom15091288 + +- Ссылка на статью: https://doi.org/10.3390/biom15091288 +- Название: Postmortem Stability Analysis of Lipids and Polar Metabolites in Human, Rat, and Mouse Brains +- Идентификаторы: doi: 10.3390/biom15091288 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:91f2284dbc:case-002` | `CASE-002` | `assets/images/91f2284dbc/case-002/explicit_01_page_000.png` | Fig.2A,B | figure_or_table | +| `task3:91f2284dbc:case-002` | `CASE-002` | `assets/images/91f2284dbc/case-002/explicit_02_page_000.png` | Fig.2A,B | figure_or_table | +| `task3:91f2284dbc:case-002` | `CASE-002` | `assets/images/91f2284dbc/case-002/explicit_03_page_000.png` | Fig.2A,B | figure_or_table | +| `task3:91f2284dbc:case-002` | `CASE-002` | `assets/images/91f2284dbc/case-002/explicit_04_page_000.png` | Fig.2A,B | figure_or_table | +| `task3:91f2284dbc:case-003` | `CASE-003` | `assets/images/91f2284dbc/case-003/explicit_01_page_003.png` | Fig.3 | figure_or_table | +| `task3:91f2284dbc:case-003` | `CASE-003` | `assets/images/91f2284dbc/case-003/explicit_02_page_003.png` | Fig.3 | figure_or_table | +| `task3:91f2284dbc:case-003` | `CASE-003` | `assets/images/91f2284dbc/case-003/explicit_03_page_003.png` | Fig.3 | figure_or_table | +| `task3:91f2284dbc:case-003` | `CASE-003` | `assets/images/91f2284dbc/case-003/explicit_04_page_003.png` | Fig.3 | figure_or_table | +| `task3:91f2284dbc:case-004` | `CASE-004` | `assets/images/91f2284dbc/case-004/explicit_01_page_000.png` | Fig.4A | figure_or_table | +| `task3:91f2284dbc:case-004` | `CASE-004` | `assets/images/91f2284dbc/case-004/explicit_02_page_000.png` | Fig.4A | figure_or_table | +| `task3:91f2284dbc:case-004` | `CASE-004` | `assets/images/91f2284dbc/case-004/explicit_03_page_000.png` | Fig.4A | figure_or_table | +| `task3:91f2284dbc:case-004` | `CASE-004` | `assets/images/91f2284dbc/case-004/explicit_04_page_000.png` | Fig.4A | figure_or_table | + +## https://doi.org/10.3390/electronics11152468 + +- Ссылка на статью: https://doi.org/10.3390/electronics11152468 +- Название: Development and Space-Qualification of a Miniaturized CubeSat’s 2-W EDFA for Space Laser Communications +- Идентификаторы: 10.3390/electronics11152468 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:ca35bd9ad6:case-001` | `CASE-001` | `assets/images/ca35bd9ad6/case-001/explicit_01_page_001.png` | p.3, Fig. 1 | figure | +| `task3:ca35bd9ad6:case-001` | `CASE-001` | `assets/images/ca35bd9ad6/case-001/explicit_02_page_001.png` | p.3, Fig. 1 | figure | +| `task3:ca35bd9ad6:case-001` | `CASE-001` | `assets/images/ca35bd9ad6/case-001/explicit_03_page_001.png` | p.3, Fig. 1 | figure | +| `task3:ca35bd9ad6:case-001` | `CASE-001` | `assets/images/ca35bd9ad6/case-001/explicit_04_page_001.png` | p.3, Fig. 1 | figure | +| `task3:ca35bd9ad6:case-002` | `CASE-002` | `assets/images/ca35bd9ad6/case-002/explicit_01_page_010.png` | p.12, Fig. 10 | figure_or_table | +| `task3:ca35bd9ad6:case-002` | `CASE-002` | `assets/images/ca35bd9ad6/case-002/explicit_02_page_010.png` | p.12, Fig. 10 | figure_or_table | +| `task3:ca35bd9ad6:case-002` | `CASE-002` | `assets/images/ca35bd9ad6/case-002/explicit_03_page_012.png` | p.12, Fig. 10 | figure_or_table | +| `task3:ca35bd9ad6:case-002` | `CASE-002` | `assets/images/ca35bd9ad6/case-002/explicit_04_page_012.png` | p.12, Fig. 10 | figure_or_table | +| `task3:ca35bd9ad6:case-003` | `CASE-003` | `assets/images/ca35bd9ad6/case-003/explicit_01_page_014.png` | p.15, Fig. 14 | mixed | +| `task3:ca35bd9ad6:case-003` | `CASE-003` | `assets/images/ca35bd9ad6/case-003/explicit_02_page_014.png` | p.15, Fig. 14 | mixed | +| `task3:ca35bd9ad6:case-003` | `CASE-003` | `assets/images/ca35bd9ad6/case-003/explicit_03_page_015.png` | p.15, Fig. 14 | mixed | +| `task3:ca35bd9ad6:case-003` | `CASE-003` | `assets/images/ca35bd9ad6/case-003/explicit_04_page_015.png` | p.15, Fig. 14 | mixed | + +## https://doi.org/10.3390/life16040683 + +- Ссылка на статью: https://doi.org/10.3390/life16040683 +- Название: Dynamics of Postmortem Gene Expression in Normal and Neoplastic Murine Liver +- Идентификаторы: doi: 10.3390/life16040683 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:91f2284dbc:case-001` | `CASE-001` | `assets/images/91f2284dbc/case-001/explicit_01_page_004.png` | Fig.4 | figure_or_table | +| `task3:91f2284dbc:case-001` | `CASE-001` | `assets/images/91f2284dbc/case-001/explicit_02_page_004.png` | Fig.4 | figure_or_table | +| `task3:91f2284dbc:case-001` | `CASE-001` | `assets/images/91f2284dbc/case-001/explicit_03_page_004.png` | Fig.4 | figure_or_table | +| `task3:91f2284dbc:case-001` | `CASE-001` | `assets/images/91f2284dbc/case-001/explicit_04_page_004.png` | Fig.4 | figure_or_table | + +## https://doi.org/10.3390/s24227079 + +- Ссылка на статью: https://doi.org/10.3390/s24227079 +- Название: A Comprehensive Evaluation of Iris Segmentation on Benchmarking Datasets +- Идентификаторы: doi:10.3390/s24227079 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:cherbaev__iris_retina_modern_ab:case-003` | `CASE-003` | `assets/images/cherbaev__iris_retina_modern_ab/case-003/explicit_01_page_000.png` | Раздел Results, таблица сравнения IoU/Dice на CASIA-v4, ND-IRIS и Cross-Eyed; качественные примеры сегментации (figure) | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-003` | `CASE-003` | `assets/images/cherbaev__iris_retina_modern_ab/case-003/explicit_02_page_000.png` | Раздел Results, таблица сравнения IoU/Dice на CASIA-v4, ND-IRIS и Cross-Eyed; качественные примеры сегментации (figure) | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-003` | `CASE-003` | `assets/images/cherbaev__iris_retina_modern_ab/case-003/explicit_03_page_000.png` | Раздел Results, таблица сравнения IoU/Dice на CASIA-v4, ND-IRIS и Cross-Eyed; качественные примеры сегментации (figure) | figure_or_table | +| `task3:cherbaev__iris_retina_modern_ab:case-003` | `CASE-003` | `assets/images/cherbaev__iris_retina_modern_ab/case-003/explicit_04_page_000.png` | Раздел Results, таблица сравнения IoU/Dice на CASIA-v4, ND-IRIS и Cross-Eyed; качественные примеры сегментации (figure) | figure_or_table | + +## https://doi.org/10.3844/jcssp.2023.326.333 + +- Ссылка на статью: https://doi.org/10.3844/jcssp.2023.326.333 +- Название: Usable AI: Critical Review of Its Current Issues and Trends +- Идентификаторы: doi:10.3844/jcssp.2023.326.333 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:998d6715e8:case-012` | `CASE-012` | `assets/images/998d6715e8/case-012/explicit_01_page_000.png` | p. 330, Section "Usability Challenges of AI Applications" | page | +| `task3:998d6715e8:case-012` | `CASE-012` | `assets/images/998d6715e8/case-012/explicit_02_page_000.png` | p. 330, Section "Usability Challenges of AI Applications" | page | +| `task3:998d6715e8:case-012` | `CASE-012` | `assets/images/998d6715e8/case-012/explicit_03_page_000.png` | p. 330, Section "Usability Challenges of AI Applications" | page | +| `task3:998d6715e8:case-012` | `CASE-012` | `assets/images/998d6715e8/case-012/explicit_04_page_000.png` | p. 330, Section "Usability Challenges of AI Applications" | page | + +## https://doi.org/10.4028/p-4pTPcD + +- Ссылка на статью: https://doi.org/10.4028/p-4pTPcD +- Название: Detectors for Neutron Detection: Design, Electrical Characteristics, and Detector Performances +- Идентификаторы: 10.4028/p-4pTPcD +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-019` | `CASE-019` | `assets/images/168bdb55d7/case-019/explicit_01_page_001.png` | Table 1 | table | +| `task3:168bdb55d7:case-019` | `CASE-019` | `assets/images/168bdb55d7/case-019/explicit_02_page_001.png` | Table 1 | table | +| `task3:168bdb55d7:case-019` | `CASE-019` | `assets/images/168bdb55d7/case-019/explicit_03_page_001.png` | Table 1 | table | +| `task3:168bdb55d7:case-019` | `CASE-019` | `assets/images/168bdb55d7/case-019/explicit_04_page_001.png` | Table 1 | table | + +## https://doi.org/10.7868/S0044394825030016 + +- Ссылка на статью: https://doi.org/10.7868/S0044394825030016 +- Название: ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ +- Идентификаторы: 10.7868/S0044394825030016 +- Использовано изображений/страниц: 48 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:ebb8391305:case-001` | `CASE-001` | `assets/images/ebb8391305/case-001/explicit_01_page_005.png` | p.9, Fig.5 | figure | +| `task3:ebb8391305:case-001` | `CASE-001` | `assets/images/ebb8391305/case-001/explicit_02_page_005.png` | p.9, Fig.5 | figure | +| `task3:ebb8391305:case-001` | `CASE-001` | `assets/images/ebb8391305/case-001/explicit_03_page_005.png` | p.9, Fig.5 | figure | +| `task3:ebb8391305:case-001` | `CASE-001` | `assets/images/ebb8391305/case-001/explicit_04_page_005.png` | p.9, Fig.5 | figure | +| `task3:ebb8391305:case-002` | `CASE-002` | `assets/images/ebb8391305/case-002/explicit_01_page_014.png` | p.21, Fig.14 | figure | +| `task3:ebb8391305:case-002` | `CASE-002` | `assets/images/ebb8391305/case-002/explicit_02_page_014.png` | p.21, Fig.14 | figure | +| `task3:ebb8391305:case-002` | `CASE-002` | `assets/images/ebb8391305/case-002/explicit_03_page_000.png` | p.21, Fig.14 | figure | +| `task3:ebb8391305:case-002` | `CASE-002` | `assets/images/ebb8391305/case-002/explicit_04_page_000.png` | p.21, Fig.14 | figure | +| `task3:ebb8391305:case-003` | `CASE-003` | `assets/images/ebb8391305/case-003/explicit_01_page_014.png` | p.21, Fig.14 | figure | +| `task3:ebb8391305:case-003` | `CASE-003` | `assets/images/ebb8391305/case-003/explicit_02_page_014.png` | p.21, Fig.14 | figure | +| `task3:ebb8391305:case-003` | `CASE-003` | `assets/images/ebb8391305/case-003/explicit_03_page_000.png` | p.21, Fig.14 | figure | +| `task3:ebb8391305:case-003` | `CASE-003` | `assets/images/ebb8391305/case-003/explicit_04_page_000.png` | p.21, Fig.14 | figure | +| `task3:ebb8391305:case-004` | `CASE-004` | `assets/images/ebb8391305/case-004/explicit_01_page_008.png` | p.12, Fig.8 | figure | +| `task3:ebb8391305:case-004` | `CASE-004` | `assets/images/ebb8391305/case-004/explicit_02_page_008.png` | p.12, Fig.8 | figure | +| `task3:ebb8391305:case-004` | `CASE-004` | `assets/images/ebb8391305/case-004/explicit_03_page_018.png` | p.12, Fig.8 | figure | +| `task3:ebb8391305:case-004` | `CASE-004` | `assets/images/ebb8391305/case-004/explicit_04_page_018.png` | p.12, Fig.8 | figure | +| `task3:ebb8391305:case-005` | `CASE-005` | `assets/images/ebb8391305/case-005/explicit_01_page_012.png` | p.19, Fig.12 | figure | +| `task3:ebb8391305:case-005` | `CASE-005` | `assets/images/ebb8391305/case-005/explicit_02_page_012.png` | p.19, Fig.12 | figure | +| `task3:ebb8391305:case-005` | `CASE-005` | `assets/images/ebb8391305/case-005/explicit_03_page_019.png` | p.19, Fig.12 | figure | +| `task3:ebb8391305:case-005` | `CASE-005` | `assets/images/ebb8391305/case-005/explicit_04_page_019.png` | p.19, Fig.12 | figure | +| `task3:ebb8391305:case-006` | `CASE-006` | `assets/images/ebb8391305/case-006/explicit_01_page_009.png` | p.14, Fig.9 | figure | +| `task3:ebb8391305:case-006` | `CASE-006` | `assets/images/ebb8391305/case-006/explicit_02_page_009.png` | p.14, Fig.9 | figure | +| `task3:ebb8391305:case-006` | `CASE-006` | `assets/images/ebb8391305/case-006/explicit_03_page_019.png` | p.14, Fig.9 | figure | +| `task3:ebb8391305:case-006` | `CASE-006` | `assets/images/ebb8391305/case-006/explicit_04_page_019.png` | p.14, Fig.9 | figure | +| `task3:ebb8391305:case-007` | `CASE-007` | `assets/images/ebb8391305/case-007/explicit_01_page_015.png` | p.22, Fig.15 | figure | +| `task3:ebb8391305:case-007` | `CASE-007` | `assets/images/ebb8391305/case-007/explicit_02_page_015.png` | p.22, Fig.15 | figure | +| `task3:ebb8391305:case-007` | `CASE-007` | `assets/images/ebb8391305/case-007/explicit_03_page_000.png` | p.22, Fig.15 | figure | +| `task3:ebb8391305:case-007` | `CASE-007` | `assets/images/ebb8391305/case-007/explicit_04_page_000.png` | p.22, Fig.15 | figure | +| `task3:ebb8391305:case-008` | `CASE-008` | `assets/images/ebb8391305/case-008/explicit_01_page_005.png` | p.9, Fig.5 | figure | +| `task3:ebb8391305:case-008` | `CASE-008` | `assets/images/ebb8391305/case-008/explicit_02_page_005.png` | p.9, Fig.5 | figure | +| `task3:ebb8391305:case-008` | `CASE-008` | `assets/images/ebb8391305/case-008/explicit_03_page_005.png` | p.9, Fig.5 | figure | +| `task3:ebb8391305:case-008` | `CASE-008` | `assets/images/ebb8391305/case-008/explicit_04_page_005.png` | p.9, Fig.5 | figure | +| `task3:ebb8391305:case-009` | `CASE-009` | `assets/images/ebb8391305/case-009/explicit_01_page_011.png` | p.15, Fig.11 | figure | +| `task3:ebb8391305:case-009` | `CASE-009` | `assets/images/ebb8391305/case-009/explicit_02_page_011.png` | p.15, Fig.11 | figure | +| `task3:ebb8391305:case-009` | `CASE-009` | `assets/images/ebb8391305/case-009/explicit_03_page_015.png` | p.15, Fig.11 | figure | +| `task3:ebb8391305:case-009` | `CASE-009` | `assets/images/ebb8391305/case-009/explicit_04_page_015.png` | p.15, Fig.11 | figure | +| `task3:ebb8391305:case-010` | `CASE-010` | `assets/images/ebb8391305/case-010/explicit_01_page_015.png` | p.22, Fig.15 | figure | +| `task3:ebb8391305:case-010` | `CASE-010` | `assets/images/ebb8391305/case-010/explicit_02_page_015.png` | p.22, Fig.15 | figure | +| `task3:ebb8391305:case-010` | `CASE-010` | `assets/images/ebb8391305/case-010/explicit_03_page_000.png` | p.22, Fig.15 | figure | +| `task3:ebb8391305:case-010` | `CASE-010` | `assets/images/ebb8391305/case-010/explicit_04_page_000.png` | p.22, Fig.15 | figure | +| `task3:ebb8391305:case-011` | `CASE-011` | `assets/images/ebb8391305/case-011/explicit_01_page_007.png` | p.12, Fig.7 | figure | +| `task3:ebb8391305:case-011` | `CASE-011` | `assets/images/ebb8391305/case-011/explicit_02_page_007.png` | p.12, Fig.7 | figure | +| `task3:ebb8391305:case-011` | `CASE-011` | `assets/images/ebb8391305/case-011/explicit_03_page_017.png` | p.12, Fig.7 | figure | +| `task3:ebb8391305:case-011` | `CASE-011` | `assets/images/ebb8391305/case-011/explicit_04_page_017.png` | p.12, Fig.7 | figure | +| `task3:ebb8391305:case-012` | `CASE-012` | `assets/images/ebb8391305/case-012/explicit_01_page_013.png` | p.20, Fig.13 | figure | +| `task3:ebb8391305:case-012` | `CASE-012` | `assets/images/ebb8391305/case-012/explicit_02_page_013.png` | p.20, Fig.13 | figure | +| `task3:ebb8391305:case-012` | `CASE-012` | `assets/images/ebb8391305/case-012/explicit_03_page_020.png` | p.20, Fig.13 | figure | +| `task3:ebb8391305:case-012` | `CASE-012` | `assets/images/ebb8391305/case-012/explicit_04_page_020.png` | p.20, Fig.13 | figure | + +## https://doi.org/https://doi.org/10.1016/j.celrep.2024.114751 + +- Ссылка на статью: https://doi.org/https://doi.org/10.1016/j.celrep.2024.114751 +- Название: Transient splicing inhibition causes persistent DNA damage and chemotherapy vulnerability in triple-negative breast cancer +- Идентификаторы: doi:https://doi.org/10.1016/j.celrep.2024.114751 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:2e597e32f6:case-002` | `CASE-002` | `assets/images/2e597e32f6/case-002/explicit_01_page_000.png` | Fig. S4 | figure | +| `task3:2e597e32f6:case-002` | `CASE-002` | `assets/images/2e597e32f6/case-002/explicit_02_page_000.png` | Fig. S4 | figure | +| `task3:2e597e32f6:case-002` | `CASE-002` | `assets/images/2e597e32f6/case-002/explicit_03_page_000.png` | Fig. S4 | figure | +| `task3:2e597e32f6:case-002` | `CASE-002` | `assets/images/2e597e32f6/case-002/explicit_04_page_000.png` | Fig. S4 | figure | +| `task3:2e597e32f6:case-003` | `CASE-003` | `assets/images/2e597e32f6/case-003/explicit_01_page_000.png` | Fig. 6G | figure | +| `task3:2e597e32f6:case-003` | `CASE-003` | `assets/images/2e597e32f6/case-003/explicit_02_page_000.png` | Fig. 6G | figure | +| `task3:2e597e32f6:case-003` | `CASE-003` | `assets/images/2e597e32f6/case-003/explicit_03_page_000.png` | Fig. 6G | figure | +| `task3:2e597e32f6:case-003` | `CASE-003` | `assets/images/2e597e32f6/case-003/explicit_04_page_000.png` | Fig. 6G | figure | + +## https://doi.org/https://doi.org/10.1101/2023.10.08.561421 + +- Ссылка на статью: https://doi.org/https://doi.org/10.1101/2023.10.08.561421 +- Название: Unlocking DNA Damage Sensitivity of Cancer Cells: The Potential of Splicing Inhibitors +- Идентификаторы: doi:https://doi.org/10.1101/2023.10.08.561421 +- Использовано изображений/страниц: 12 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:2e597e32f6:case-004` | `CASE-004` | `assets/images/2e597e32f6/case-004/explicit_01_page_000.png` | Fig. 1G | figure | +| `task3:2e597e32f6:case-004` | `CASE-004` | `assets/images/2e597e32f6/case-004/explicit_02_page_000.png` | Fig. 1G | figure | +| `task3:2e597e32f6:case-004` | `CASE-004` | `assets/images/2e597e32f6/case-004/explicit_03_page_000.png` | Fig. 1G | figure | +| `task3:2e597e32f6:case-004` | `CASE-004` | `assets/images/2e597e32f6/case-004/explicit_04_page_000.png` | Fig. 1G | figure | +| `task3:2e597e32f6:case-005` | `CASE-005` | `assets/images/2e597e32f6/case-005/explicit_01_page_000.png` | Fig.2G | mixed | +| `task3:2e597e32f6:case-005` | `CASE-005` | `assets/images/2e597e32f6/case-005/explicit_02_page_000.png` | Fig.2G | mixed | +| `task3:2e597e32f6:case-005` | `CASE-005` | `assets/images/2e597e32f6/case-005/explicit_03_page_000.png` | Fig.2G | mixed | +| `task3:2e597e32f6:case-005` | `CASE-005` | `assets/images/2e597e32f6/case-005/explicit_04_page_000.png` | Fig.2G | mixed | +| `task3:2e597e32f6:case-011` | `CASE-011` | `assets/images/2e597e32f6/case-011/explicit_01_page_000.png` | Fig.4E | figure | +| `task3:2e597e32f6:case-011` | `CASE-011` | `assets/images/2e597e32f6/case-011/explicit_02_page_000.png` | Fig.4E | figure | +| `task3:2e597e32f6:case-011` | `CASE-011` | `assets/images/2e597e32f6/case-011/explicit_03_page_000.png` | Fig.4E | figure | +| `task3:2e597e32f6:case-011` | `CASE-011` | `assets/images/2e597e32f6/case-011/explicit_04_page_000.png` | Fig.4E | figure | + +## https://doi.org/https://doi.org/10.1103/PhysRevLett.73.652 + +- Ссылка на статью: https://doi.org/https://doi.org/10.1103/PhysRevLett.73.652 +- Название: Plasma Crystal: Coulomb Crystallization in a Dusty Plasma +- Идентификаторы: DOI: https://doi.org/10.1103/PhysRevLett.73.652 +- Использовано изображений/страниц: 8 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:f0377dec26:case-005` | `CASE-005` | `assets/images/f0377dec26/case-005/explicit_01_page_004.png` | p. 653, Fig. 4 | figure | +| `task3:f0377dec26:case-005` | `CASE-005` | `assets/images/f0377dec26/case-005/explicit_02_page_004.png` | p. 653, Fig. 4 | figure | +| `task3:f0377dec26:case-005` | `CASE-005` | `assets/images/f0377dec26/case-005/explicit_03_page_004.png` | p. 653, Fig. 4 | figure | +| `task3:f0377dec26:case-005` | `CASE-005` | `assets/images/f0377dec26/case-005/explicit_04_page_004.png` | p. 653, Fig. 4 | figure | +| `task3:f0377dec26:case-006` | `CASE-006` | `assets/images/f0377dec26/case-006/explicit_01_page_003.png` | p. 654, Fig. 3 | figure | +| `task3:f0377dec26:case-006` | `CASE-006` | `assets/images/f0377dec26/case-006/explicit_02_page_003.png` | p. 654, Fig. 3 | figure | +| `task3:f0377dec26:case-006` | `CASE-006` | `assets/images/f0377dec26/case-006/explicit_03_page_003.png` | p. 654, Fig. 3 | figure | +| `task3:f0377dec26:case-006` | `CASE-006` | `assets/images/f0377dec26/case-006/explicit_04_page_003.png` | p. 654, Fig. 3 | figure | + +## https://doi.org/https://doi.org/10.1126/scitranslmed.ade2774 + +- Ссылка на статью: https://doi.org/https://doi.org/10.1126/scitranslmed.ade2774 +- Название: Splicing modulators impair DNA damage response and induce killing of cohesin-mutant MDS and AML +- Идентификаторы: doi:https://doi.org/10.1126/scitranslmed.ade2774 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:2e597e32f6:case-001` | `CASE-001` | `assets/images/2e597e32f6/case-001/explicit_01_page_000.png` | Fig.2E | figure | +| `task3:2e597e32f6:case-001` | `CASE-001` | `assets/images/2e597e32f6/case-001/explicit_02_page_000.png` | Fig.2E | figure | +| `task3:2e597e32f6:case-001` | `CASE-001` | `assets/images/2e597e32f6/case-001/explicit_03_page_000.png` | Fig.2E | figure | +| `task3:2e597e32f6:case-001` | `CASE-001` | `assets/images/2e597e32f6/case-001/explicit_04_page_000.png` | Fig.2E | figure | + +## https://doi.org/s41598-017-05882-0 + +- Ссылка на статью: https://doi.org/s41598-017-05882-0 +- Название: Systematic analysis of gene expression patterns associated with postmortem interval in human tissues +- Идентификаторы: doi: s41598-017-05882-0 +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:91f2284dbc:case-005` | `CASE-005` | `assets/images/91f2284dbc/case-005/explicit_01_page_002.png` | Table 2 | figure_or_table | +| `task3:91f2284dbc:case-005` | `CASE-005` | `assets/images/91f2284dbc/case-005/explicit_02_page_002.png` | Table 2 | figure_or_table | +| `task3:91f2284dbc:case-005` | `CASE-005` | `assets/images/91f2284dbc/case-005/explicit_03_page_002.png` | Table 2 | figure_or_table | +| `task3:91f2284dbc:case-005` | `CASE-005` | `assets/images/91f2284dbc/case-005/explicit_04_page_002.png` | Table 2 | figure_or_table | + +## https://www.researchgate.net/publication/221350628_First-order_definable_languages + +- Ссылка на статью: https://www.researchgate.net/publication/221350628_First-order_definable_languages +- Название: First-order definable languages +- Идентификаторы: https://www.researchgate.net/publication/221350628_First-order_definable_languages +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_01_page_006.png` | Fig. 6-9 | figure_or_table | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_02_page_006.png` | Fig. 6-9 | figure_or_table | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_03_page_016.png` | Fig. 6-9 | figure_or_table | +| `task3:168bdb55d7:case-003` | `CASE-003` | `assets/images/168bdb55d7/case-003/explicit_04_page_016.png` | Fig. 6-9 | figure_or_table | + +## Не удалось определить статью + +- Ссылка на статью: не определена автоматически; проверьте `paper_id` в исходном манифесте. +- Название: Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization +- Использовано изображений/страниц: 4 + +| sample_id | case_id | image | page_hint | evidence_kind | +|---|---|---|---|---| +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-008` | `CASE-008` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-008/explicit_01_page_001.png` | Table 1, 2, Fig. 1 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-008` | `CASE-008` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-008/explicit_02_page_001.png` | Table 1, 2, Fig. 1 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-008` | `CASE-008` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-008/explicit_03_page_001.png` | Table 1, 2, Fig. 1 | figure_or_table | +| `task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-008` | `CASE-008` | `assets/images/vasin_artem_aleksandrovich__0cf7f9ceca/case-008/explicit_04_page_001.png` | Table 1, 2, Fig. 1 | figure_or_table | diff --git a/README.md b/README.md index feddd9661c9faed7b871e3683314308a9304d9dd..5d2b29c9c103bde5ccdfd2ec089dd4e92315b5ed 100644 --- a/README.md +++ b/README.md @@ -1,42 +1,84 @@ --- -pretty_name: top-papers-graph Task 3 VLM A/B benchmark language: - ru +pretty_name: top-papers-graph Task 3 VLM benchmark +size_categories: +- n<1K tags: -- scientific-papers -- vision-language +- scientific-reasoning - multimodal +- vision-language - benchmark -- ab-testing -- top-papers-graph -size_categories: -- n<1K -configs: -- config_name: task3_vlm_generation - data_files: - - split: test - path: data/task3_vlm_generation.jsonl -- config_name: task3_cases_flat - data_files: - - split: test - path: data/task3_cases_flat.jsonl +- russian --- -# top-papers-graph Task 3 VLM A/B benchmark +# top-papers-graph: Task 3 VLM benchmark dataset + +Этот датасет содержит Task 3 кейсы для генерации ответа одной vision-language моделью. Исходные экспертные A/B prompts преобразуются в модельную задачу: модель должна извлечь факты из текста, страниц PDF, рисунков или таблиц и вернуть структурированный JSON-ответ. Экспертные rationale и ожидаемые ошибки вынесены в отдельные metadata-файлы, чтобы не протекать в prompt оцениваемой модели. + +Дата генерации README: `2026-05-16T20:35:37Z`. + +## Главный датасет: `data/task3_vlm_generation.jsonl` + +Каждая строка — один VLM-ready sample: + +- `sample_id` — стабильный идентификатор строки; +- `messages` — TRL-style multimodal сообщения: system prompt и user prompt; +- `images` — относительные пути к изображениям в том же порядке, что и `{"type": "image"}` placeholders в `messages`; +- `paper_title`, `paper_id`, `year` — статья, на основе которой создан кейс; +- `evidence_kind`, `page_hint`, `stratum` — тип evidence, подсказка по странице/рисунку/таблице и слой сложности; +- `model_task_prompt` — адаптированный prompt для одной VLM без формулировки blind A/B сравнения; +- `generation_target_schema` — ожидаемая структура JSON-ответа; +- `review_metadata` — диагностические поля для эксперта; их не следует передавать оцениваемой VLM. + +Строк в текущей сборке: **273**. Строк с изображениями: **273**. Всего ссылок на изображения: **1092**. + +## Дополнительные файлы + +### `data/task3_cases_flat.jsonl` + +Плоская таблица кейсов для аудита. Здесь удобно проверять `case_id`, `paper_title`, `paper_id`, `creator_prompt`, `model_task_prompt`, `review_focus` и enabled/primary flags без раскрытия полной message-структуры. + +Строк: **314**. + +### `data/task3_cases_summary.csv` + +CSV-сводка по строкам генерационного датасета. Используется для быстрой ручной проверки в таблицах. -Dataset repository target: `top-papers/top-papers-graph-benchmark`. +### `metadata/build_summary.json` -This dataset contains Task 3 case-based prompts adapted for **single VLM generation**. Expert-created A/B review prompts are transformed into model-facing evidence extraction or reasoning tasks. Expert rationales and expected error modes are kept in metadata, not in the model messages, to reduce prompt leakage during A/B generation. +Сводка сборки: количество найденных манифестов, записанных кейсов, строк с изображениями, отрендеренных PDF-страниц, скачанных PDF и предупреждений. -## Main files +### `review_metadata/task3_case_rationales.jsonl` -- `data/task3_vlm_generation.jsonl` — primary model-facing records. -- `data/task3_cases_flat.jsonl` — compact case metadata for auditing. -- `metadata/build_summary.json` — build statistics and warnings. -- `review_metadata/task3_case_rationales.jsonl` — expert-only rationale/diagnostic metadata; do not feed this file to the evaluated VLM. -- `assets/images/` — optional rendered pages or explicitly supplied image files referenced by `images`. +Экспертные rationale, expected error modes, match/notes и исходный контекст для review. Этот файл нужен для аудита и анализа качества, но **не должен попадать в prompt модели**, если вы проводите blind A/B evaluation. -## Loading +### `assets/images/` + +Отрендеренные страницы PDF и/или явно приложенные изображения. Пути к этим файлам перечислены в `images` у строк `task3_vlm_generation.jsonl`. + +### `ARTICLE_IMAGE_SOURCES.md` и `article_image_sources.jsonl` + +Файлы аудита цитирования изображений. Они связывают каждое изображение с `sample_id`, `case_id`, `paper_id`, названием статьи, ссылкой на статью, `page_hint` и `evidence_kind`. + +Человекочитаемый файл: `ARTICLE_IMAGE_SOURCES.md`. Машиночитаемый файл: `article_image_sources.jsonl`. + +## Распределение по слоям сложности + +- `easy_control`: 42 +- `multimodal_hard`: 163 +- `temporal_hard`: 68 + +## Распределение по типам evidence + +- `figure`: 119 +- `figure_or_table`: 62 +- `formula`: 8 +- `mixed`: 21 +- `page`: 31 +- `table`: 32 + +## Как читать датасет ```python from datasets import load_dataset @@ -44,18 +86,34 @@ from huggingface_hub import snapshot_download from pathlib import Path repo_id = "top-papers/top-papers-graph-benchmark" -ds = load_dataset(repo_id, "task3_vlm_generation", split="test") +config_name = "task3_vlm_generation" +split = "test" + +ds = load_dataset(repo_id, config_name, split=split) repo_root = Path(snapshot_download(repo_id, repo_type="dataset")) + row = ds[0] -image_paths = [repo_root / rel for rel in row["images"]] messages = row["messages"] +image_paths = [repo_root / rel for rel in row["images"]] ``` -Each row follows the TRL-style multimodal convention used elsewhere in this repository: `messages` contains text and `{"type": "image"}` placeholders, while top-level `images` contains relative paths in the same order. +## Ожидаемый ответ модели + +Модель должна вернуть JSON с полями: + +- `answer` — краткий предметный ответ; +- `evidence_used` — список использованных страниц/рисунков/таблиц; +- `visual_facts` — факты, извлечённые из изображений; +- `temporal_facts` — временные метки/последовательности, если применимо; +- `uncertainty` — `low`, `medium` или `high`; +- `missing_evidence` — что невозможно проверить по предоставленным данным. + +## Правила цитирования изображений + +При использовании изображений из `assets/images/` нужно ссылаться на соответствующую статью из `ARTICLE_IMAGE_SOURCES.md`. Для автоматической проверки используйте `article_image_sources.jsonl`, где каждая строка задаёт соответствие `sample_id → image_path → article_url`. -## Build summary +## Ограничения -- Cases written: 261 -- Cases with images: 185 -- Manifests discovered: 29 -- Rendered PDF pages: 365 +- Некоторые кейсы могут не иметь изображений, если PDF/рисунок не был найден или отрендерен. +- Если `paper_id` не распознан как DOI/arXiv/OpenAlex/PubMed/URL, ссылка в `ARTICLE_IMAGE_SOURCES.md` может потребовать ручной проверки. +- `review_metadata/task3_case_rationales.jsonl` содержит экспертные подсказки и не предназначен для передачи в prompt оцениваемой модели. diff --git a/article_image_sources.jsonl b/article_image_sources.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ed7926d87a94d64be408d829237bde9ce48b2bf --- /dev/null +++ b/article_image_sources.jsonl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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https://git-lfs.github.com/spec/v1 +oid sha256:f31a81b8e0021e6424e331b39f6db5a3d2631ea8d21988bd884415eaec98da4b +size 382540 diff --git a/data/task3_cases_flat.jsonl b/data/task3_cases_flat.jsonl index a4d59958c5b8e08455f0ef8fe8e3af3b40cfef8b..d8db833e4d2ca5cdc8cd9f51307fc4b12d0311f4 100644 --- a/data/task3_cases_flat.jsonl +++ b/data/task3_cases_flat.jsonl @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:03de06cde8cdb785a87ecdf56c7bd2692da9b0390b9c33f123e8b89ccb198123 -size 326012 +oid sha256:b2db7f1164ac2caec83b76100c0bb8ae270692297ae62abc90a96f19fbb2b4f0 +size 342733 diff --git a/data/task3_cases_summary.csv b/data/task3_cases_summary.csv index a7f5c5f354bc5daa7bdcb1f4a591747f16697370..9aff694eabd695eb7b9c13ced15d06fb9c9b6fca 100644 --- a/data/task3_cases_summary.csv +++ b/data/task3_cases_summary.csv @@ -1,262 +1,274 @@ sample_id,topic,submission_id,case_id,stratum,primary_endpoint,paper_title,paper_id,year,evidence_kind,page_hint,image_count,model_task_prompt -task3:f0377dec26:case-001,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-001,multimodal_hard,True,"Ordering, Metastability and Phase Transitions in Two-Dimensional Systems",DOI:10.1088/0022-3719/6/7/010,1973,figure_or_table,"p.1191–1192, Fig.1 & Fig.2",3,"Сравните, какой вариант точнее интерпретирует рисунки 1 и 2 (стр. 1191–1192): извлеките связь между направлением обхода замкнутого контура и величиной топологического заряда q, и проверьте, не теряется ли эта визуальная закономерность в hypothesis support." -task3:f0377dec26:case-002,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-002,multimodal_hard,True,Quasicrystalline structures in strongly coupled dusty plasma,DOI:10.1070/PU1997v040n11ABEH000308,1977,figure,"p.1166, Fig.4",1,"Сравните, какой вариант точнее извлекает данные из графика на рис. 4 (стр. 1165): определите, какая кривая соответствует переходу от “газообразного” к “жидкоподобному” состоянию, и проверьте, правильно ли модель связывает появление пика g(r) с указанным в тексте значением параметра связи Γ = 40." +task3:f0377dec26:case-001,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-001,multimodal_hard,True,"Ordering, Metastability and Phase Transitions in Two-Dimensional Systems",DOI:10.1088/0022-3719/6/7/010,1973,figure_or_table,"p.1191–1192, Fig.1 & Fig.2",4,"Сравните, какой вариант точнее интерпретирует рисунки 1 и 2 (стр. 1191–1192): извлеките связь между направлением обхода замкнутого контура и величиной топологического заряда q, и проверьте, не теряется ли эта визуальная закономерность в hypothesis support." +task3:f0377dec26:case-002,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-002,multimodal_hard,True,Quasicrystalline structures in strongly coupled dusty plasma,DOI:10.1070/PU1997v040n11ABEH000308,1977,figure,"p.1166, Fig.4",4,"Сравните, какой вариант точнее извлекает данные из графика на рис. 4 (стр. 1165): определите, какая кривая соответствует переходу от “газообразного” к “жидкоподобному” состоянию, и проверьте, правильно ли модель связывает появление пика g(r) с указанным в тексте значением параметра связи Γ = 40." task3:f0377dec26:case-003,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-003,multimodal_hard,True,Quasicrystalline structures in strongly coupled dusty plasma,DOI:10.1070/PU1997v040n11ABEH000308,1977,figure_or_table,"p.1166, Fig.5",4,"Сравните, какой вариант вернее интерпретирует фазовую диаграмму на рис. 5 (стр. 1166): извлеките координаты экспериментальных точек в логарифмическом масштабе осей, определите, относительно каких теоретических кривых они лежат, и проверьте, не нарушается ли при этом условие образования упорядоченных структур, описанное в тексте." -task3:f0377dec26:case-004,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-004,multimodal_hard,True,Melting dynamics of a plasma crystal,DOI:10.1038/379806a0,1996,figure,"p. 809, Fig. 3",1,"Сравните, какой вариант точнее считывает график на рис. 3: определите давление газа (0.32 мбар), при котором ориентационный порядок демонстрирует локальный максимум, в то время как трансляционный порядок продолжает монотонно падать." -task3:f0377dec26:case-005,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-005,multimodal_hard,True,Plasma Crystal: Coulomb Crystallization in a Dusty Plasma,DOI: https://doi.org/10.1103/PhysRevLett.73.652,1994,figure,"p. 653, Fig. 4",1,"Сравните три гистограммы на рис. 4 (стр. 653): определите, какое из распределений (площадь ячеек, число сторон или расстояние до соседа) наиболее чётко отличает экспериментальные данные (чёрные столбцы) от случайного распределения (белые), и проверьте, сохраняет ли модель связь между сужением пиков и выводом о кристаллическом порядке." -task3:f0377dec26:case-006,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-006,multimodal_hard,True,Plasma Crystal: Coulomb Crystallization in a Dusty Plasma,DOI: https://doi.org/10.1103/PhysRevLett.73.652,1994,figure,"p. 654, Fig. 3",1,"Проанализируйте тесселяцию на рис. 3: определите, какая геометрическая фигура преобладает среди ячеек Вороного, проверьте, связывает ли модель визуальное доминирование шестиугольников с выводом о формировании кристаллической решётки." -task3:f0377dec26:case-007,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-007,multimodal_hard,True,Hexatic phase in two-dimensional Yukawa systems: Existence and properties,DOI 10.1088/1742-6596/653/1/012103,2015,figure,"p.3-4, Fig.1 & Fig.3",3,"Сравните, какой вариант точнее считывает рисунки 1 и 3: извлеките асимптотическое поведение g6(r) для гексатической фазы (степенной закон r^(-1/5)), сопоставьте его с положением пика теплоёмкости Cv и определите границы переходов при Γ = 98 и Γ=154." +task3:f0377dec26:case-004,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-004,multimodal_hard,True,Melting dynamics of a plasma crystal,DOI:10.1038/379806a0,1996,figure,"p. 809, Fig. 3",4,"Сравните, какой вариант точнее считывает график на рис. 3: определите давление газа (0.32 мбар), при котором ориентационный порядок демонстрирует локальный максимум, в то время как трансляционный порядок продолжает монотонно падать." +task3:f0377dec26:case-005,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-005,multimodal_hard,True,Plasma Crystal: Coulomb Crystallization in a Dusty Plasma,DOI: https://doi.org/10.1103/PhysRevLett.73.652,1994,figure,"p. 653, Fig. 4",4,"Сравните три гистограммы на рис. 4 (стр. 653): определите, какое из распределений (площадь ячеек, число сторон или расстояние до соседа) наиболее чётко отличает экспериментальные данные (чёрные столбцы) от случайного распределения (белые), и проверьте, сохраняет ли модель связь между сужением пиков и выводом о кристаллическом порядке." +task3:f0377dec26:case-006,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-006,multimodal_hard,True,Plasma Crystal: Coulomb Crystallization in a Dusty Plasma,DOI: https://doi.org/10.1103/PhysRevLett.73.652,1994,figure,"p. 654, Fig. 3",4,"Проанализируйте тесселяцию на рис. 3: определите, какая геометрическая фигура преобладает среди ячеек Вороного, проверьте, связывает ли модель визуальное доминирование шестиугольников с выводом о формировании кристаллической решётки." +task3:f0377dec26:case-007,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-007,multimodal_hard,True,Hexatic phase in two-dimensional Yukawa systems: Existence and properties,DOI 10.1088/1742-6596/653/1/012103,2015,figure,"p.3-4, Fig.1 & Fig.3",4,"Сравните, какой вариант точнее считывает рисунки 1 и 3: извлеките асимптотическое поведение g6(r) для гексатической фазы (степенной закон r^(-1/5)), сопоставьте его с положением пика теплоёмкости Cv и определите границы переходов при Γ = 98 и Γ=154." task3:f0377dec26:case-008,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-008,temporal_hard,True,Hexatic phase in two-dimensional Yukawa systems: Existence and properties,DOI 10.1088/1742-6596/653/1/012103,2015,figure,"p.4–5, Fig.5 & Fig.6",4,"Проанализируйте динамику фазового сценария при уменьшении Γ: определите последовательность потери порядка (трансляционный до ориентационного), выявите на рис. 5 расхождение в оценках критических точек из работ до и после 2010 года, и проверьте, как на рис. 6 сдвигается диапазон существования гексатической фазы при изменении параметра каппа." task3:f0377dec26:case-009,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-009,temporal_hard,True,Laser-induced melting of two-dimensional dusty plasma system in RF discharge,DOI:10.1038/s41598-020-80082-x,2021,figure,"p.6-7, Fig.4 & Fig.5",4,"Отследите последовательность разрушения порядка при уменьшении Γ: определите, какой тип порядка (трансляционный или ориентационный) теряется первым в районе Γ = 160Γ, а какой - в районе Г = 100, и проверьте, соответствует ли эта динамика визуальной эволюции дефектов на диаграммах Вороного (рис. 5)." -task3:f0377dec26:case-010,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-010,temporal_hard,True,Laser-induced melting of two-dimensional dusty plasma system in RF discharge,DOI:10.1038/s41598-020-80082-x,2021,figure,"p.5, Fig.3",2,"Проанализируйте эволюцию структурного фактора S(kxy) на рис. 3 при переходе от Γ=600 к Γ=50: опишите последовательную трансформацию максимумов (чёткие пики --- размытые гексагоны --- концентрические кольца) и проверьте, связывает ли модель промежуточную стадию с гексатической фазой, а не с прямым переходом твёрдое кристалл - жидкость." -task3:f0377dec26:case-011,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-011,easy_control,False,Laser-induced melting of two-dimensional dusty plasma system in RF discharge,DOI:10.1038/s41598-020-80082-x,2021,page,"p.3, раздел Experiments",1,"Извлеките базовые параметры эксперимента: диаметр частиц, рабочее давление газа и диапазон мощности лазера, использованного для нагрева, и проверьте, точно ли модель воспроизводит указанные числовые значения без искажений." -task3:f0377dec26:case-012,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-012,easy_control,False,Laser-induced melting of two-dimensional dusty plasma system in RF discharge,DOI:10.1038/s41598-020-80082-x,2021,page,"p.2–3, раздел Experiments",2,"Извлеките базовые параметры ВЧ-разряда: частоту генератора, расстояние между электродами, рабочее давление аргона и мощность разряда, и проверьте, точно ли модель воспроизводит указанные числовые значения без искажений." -task3:8ec4fdad1a:case-001,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-001,multimodal_hard,True,"""AI Agents Simulate Behavioral Biases in Financial Markets""",10.1007/s42001-026-00465-4,2026,figure_or_table,Fig.4,1,"Извлеките из Figure 4 ключевые параметры LLM-агентов (уровни bias, типы personality) и связывает их с описанными в тексте рыночными исходами (пузыри, крахи).." +task3:f0377dec26:case-010,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-010,temporal_hard,True,Laser-induced melting of two-dimensional dusty plasma system in RF discharge,DOI:10.1038/s41598-020-80082-x,2021,figure,"p.5, Fig.3",4,"Проанализируйте эволюцию структурного фактора S(kxy) на рис. 3 при переходе от Γ=600 к Γ=50: опишите последовательную трансформацию максимумов (чёткие пики --- размытые гексагоны --- концентрические кольца) и проверьте, связывает ли модель промежуточную стадию с гексатической фазой, а не с прямым переходом твёрдое кристалл - жидкость." +task3:f0377dec26:case-011,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-011,easy_control,False,Laser-induced melting of two-dimensional dusty plasma system in RF discharge,DOI:10.1038/s41598-020-80082-x,2021,page,"p.3, раздел Experiments",4,"Извлеките базовые параметры эксперимента: диаметр частиц, рабочее давление газа и диапазон мощности лазера, использованного для нагрева, и проверьте, точно ли модель воспроизводит указанные числовые значения без искажений." +task3:f0377dec26:case-012,Открытие гексатической фазы в двумерной структуре пылевых частиц в плазме,денис-заморин__f0377dec26,CASE-012,easy_control,False,Laser-induced melting of two-dimensional dusty plasma system in RF discharge,DOI:10.1038/s41598-020-80082-x,2021,page,"p.2–3, раздел Experiments",4,"Извлеките базовые параметры ВЧ-разряда: частоту генератора, расстояние между электродами, рабочее давление аргона и мощность разряда, и проверьте, точно ли модель воспроизводит указанные числовые значения без искажений." +task3:8ec4fdad1a:case-001,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-001,multimodal_hard,True,"""AI Agents Simulate Behavioral Biases in Financial Markets""",10.1007/s42001-026-00465-4,2026,figure_or_table,Fig.4,4,"Извлеките из Figure 4 ключевые параметры LLM-агентов (уровни bias, типы personality) и связывает их с описанными в тексте рыночными исходами (пузыри, крахи).." task3:8ec4fdad1a:case-002,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-002,temporal_hard,True,"""AI Agents Simulate Behavioral Biases in Financial Markets""",10.1007/s42001-026-00465-4,2026,figure_or_table,Fig.5,4,"Определите временные рамки критических изменений на рынке (points of inflection), правильно ли привязывает фазы роста/падения к конкретным таймстэмпам.." -task3:8ec4fdad1a:case-003,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-003,easy_control,True,"""AI Agents Simulate Behavioral Biases in Financial Markets",10.1007/s42001-026-00465-4,2026,page,p.8,0,Определите определение 'herd mentality' и его проявление в росте VWAP.. -task3:8ec4fdad1a:case-004,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-004,multimodal_hard,True,"AI Agents Simulate Behavioral Biases in Financial Markets""",10.1007/s42001-026-00465-4,2026,table,Table 1,1,"Определите, сколько типов personality настроено в агентах и какие именно bias (overconfidence, loss_aversion, dissonance) им назначены.." -task3:8ec4fdad1a:case-005,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-005,multimodal_hard,True,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,figure,Fig.6,2,Свяжите усиление 'herding' и 'overconfidence' с началом пузыря.. -task3:8ec4fdad1a:case-006,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-006,multimodal_hard,True,AI Agents Simulate Behavioral Biases in Financial Market,10.1007/s42001-026-00465-4,2026,figure_or_table,Fig.3,1,"Сравните, насколько точно каждый VLM извлекает из Figure 3 значения VWAP и trade volume на разных фазах пузыря и связывает их с bias-параметрами агентов" -task3:8ec4fdad1a:case-007,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-007,multimodal_hard,True,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,table,Table 2,0,"Интерпретируйте данные Table 2: какой bias (overconfidence, loss aversion, dissonance) сильнее всего коррелирует с аномальным ростом VWAP.." -task3:8ec4fdad1a:case-008,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-008,temporal_hard,True,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,figure,Fig.2,2,"Определите, сколько типов personality настроено в агентах (из Figure 2) и какие bias к ним привязаны." -task3:8ec4fdad1a:case-009,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-009,temporal_hard,True,AI Agents Simulate Behavioral Biases in Financial Market,10.1007/s42001-026-00465-4,2026,figure,Fig.6,2,Определите момент перехода 'herding' → 'overconfidence' по временной шкале и связывает его с рыночным пузырём. -task3:8ec4fdad1a:case-010,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-010,temporal_hard,True,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,table,Table 3,0,Определите временную задержку между ростом bias и проявлением рыночного эффекта (пузырь/крах) из Table 3.. -task3:8ec4fdad1a:case-011,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-011,easy_control,False,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,page,p.5,1,"Определите три основных bias, перечисленных в явном виде на странице 5.." -task3:8ec4fdad1a:case-012,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-012,easy_control,False,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,page,p.10,0,"Сравните, правильно ли каждый VLM определяет, какой тип личности агента (conservative / aggressive) привёл к loss aversion" -task3:c5c57bba7e:case-001,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-001,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,10.1371/journal.pcbi.1006597,2019,figure,Fig 6b,0,Сравните какой вариант лучше извлекает данные о пороговом значении процента фибробластов из графика при разных Ebond -task3:c5c57bba7e:case-002,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-002,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,10.1371/journal.pcbi.1006597,2019,table,Table 1,1,Сравните какой вариант лучше извлекает данные о значении параметров из таблицы -task3:c5c57bba7e:case-003,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-003,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,10.1371/journal.pcbi.1006597,2019,formula,Eq 2,0,Сравните какой вариант лучше извлекает формулу Hjunctions из картинки с формулой после уравнения 1 -task3:c5c57bba7e:case-004,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-004,multimodal_hard,True,Discrete Anisotropy Model of Heterogeneous Cardiac Tissue Predicting the Occurrence of Symmetry Breaking of Reentrant Activity,10.1134/S0021364024600782,2024,figure,Fig 1,1,Извлеките данные о размере образца. -task3:c5c57bba7e:case-005,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-005,multimodal_hard,True,Virtual cardiac monolayers for electrical wave propagation,10.1038/s41598-017-07653-3,2017,figure,Fig 2,2,Определите морфологические метрики кардиомиоцитов и фибробластов из экспериментов. -task3:c5c57bba7e:case-006,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-006,temporal_hard,True,Simulation of the differential adhesion driven rearrangement of biological cells,10.1103/PhysRevE.47.2128,1993,figure,Fig 5a,0,"Сравните, какой вариант лучше лучше определяет время выхода на плато длины границ в эксперименте на рисунке 5а" -task3:c5c57bba7e:case-007,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-007,temporal_hard,True,Simulation of the differential adhesion driven rearrangement of biological cells,10.1103/PhysRevE.47.2128,1993,figure,Fig 13c,0,"Определите время в шагах Монте-Карло (MCS), когда длина гетеротипических границ примерно равна длине гомотипических границ на рисунке 13с." -task3:c5c57bba7e:case-008,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-008,temporal_hard,True,Simulation of the differential adhesion driven rearrangement of biological cells,10.1103/PhysRevE.47.2128,1993,figure,Fig 19b,0,"Определите время в шагах Монте-Карло (MCS), когда длина гетеротипических границ для разных сочетаний (темные со светлыми, темные с окружением, светлые с окружением) начинают заметно расходиться на рисунке 19b." -task3:c5c57bba7e:case-009,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-009,temporal_hard,True,Generation and maturation of human iPSC-derived 3D organotypic cardiac microtissues in long-term culture,10.1038/s41598-022-22225-w,2022,figure,Fig 2,2,"Сравните, какой вариант лучше различает какой график к какому периоду относится" -task3:c5c57bba7e:case-010,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-010,temporal_hard,True,Advanced Cardiovascular Toxicity Screening: Integrating Human iPSC-Derived Cardiomyocytes with 2D In Silico Models,10.1007/s12012-025-09987-1,2025,figure,Graphical Abstract,0,"Сравните, какой вариант лучше понимает какой цвет означает более позднюю стадию распространения волны" -task3:c5c57bba7e:case-011,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-011,easy_control,False,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,doi:10.1371/journal.pcbi.1006597,2019,page,Abstract,0,"Сравните, какой вариант лучше формулирует общий тезис статьи о причинах значения порога перколяции" -task3:c5c57bba7e:case-012,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-012,easy_control,False,Modeling the functional heterogeneity and conditions for the occurrence of microreentry in procedurally created atrial fibrous tissue,doi:10.1063/5.0151624,2023,page,Methods,0,Опишите Гамильтониан и его слагаемые в клеточной модели. -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-001,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-001,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,doi:10.1371/journal.pcbi.1006597,2019,figure,"Fig. 1: activation map, blocked regions, main propagation pathways, velocity decay and percolation threshold",1,"Сравните, какой вариант лучше считывает Fig. 1: где находятся блоки проведения, по каким узким путям распространяется волна, как меняется velocity при росте доли non-conducting cells и какой percolation threshold указан на графике." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-002,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-002,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,doi:10.1371/journal.pcbi.1006597,2019,figure_or_table,"Fig. 6 and Table 1: virtual monolayers, E bond conditions, velocity vs density, percolation threshold",3,"Сравните, какой вариант лучше связывает Fig. 6 с параметрами модели: различает orange/blue условия cytoskeleton alignment, не путает simulated fibroblast density с experimental fraction и корректно переносит threshold/velocity evidence." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-003,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-003,multimodal_hard,True,Simulation of the differential adhesion driven rearrangement of biological cells,doi:10.1103/PhysRevE.47.2128,1993,figure_or_table,Simulation snapshots and parameter tables for differential adhesion / extended Potts model,0,"Извлеките из визуализаций cell sorting, какие клеточные типы перераспределяются, как differential adhesion задаёт rearrangement, и не превращает Potts-model evidence в общий текст про миграцию клеток.." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-004,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-004,multimodal_hard,True,A model for human ventricular tissue,doi:10.1152/ajpheart.00794.2003,2004,formula,Model equations / current definitions / AP trace and restitution-style figures,0,"Сравните, какой вариант лучше восстанавливает структуру human ventricular tissue model: какие ионные токи и переменные входят в формулы, какие параметры относятся к single-cell AP, а какие — к tissue propagation, без добавления несуществующих channels." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-005,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-005,multimodal_hard,True,Optical Imaging of the Heart,doi:10.1161/01.RES.0000130529.18016.35,2004,mixed,"Review figures/tables on optical mapping, voltage-sensitive dyes, activation and repolarization maps",0,"Сравните, какой вариант лучше переносит из схем и таблиц optical imaging pipeline: что именно измеряется оптическим сигналом, где activation map отличается от repolarization map, и какие ограничения относятся к dye/motion artifact, а не к electrophysiology как таковой." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-006,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-006,multimodal_hard,True,Modeling the functional heterogeneity and conditions for the occurrence of microreentry in procedurally created atrial fibrous tissue,doi:10.1063/5.0151624,2023,figure_or_table,"Figures/tables with procedurally created atrial fibrous tissue, heterogeneity settings and microreentry conditions",0,"Извлеките из схем и карт модели, при каких параметрах fibrous tissue возникает microreentry: геометрия, conduction heterogeneity, obstacle/fibrosis pattern и условия устойчивого reentry не должны смешиваться в один общий фактор.." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-007,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-007,multimodal_hard,True,Advanced Cardiovascular Toxicity Screening: Integrating Human iPSC-Derived Cardiomyocytes with 2D In Silico Models,doi:10.1007/s12012-025-09987-1,2025,mixed,"Workflow figures/tables linking hiPSC-CM readouts, 2D in silico model outputs and toxicity endpoints",0,"Сравните, какой вариант лучше связывает workflow evidence: какие данные приходят из hiPSC-derived cardiomyocytes, какие — из 2D in silico model, и где именно формируется вывод о cardiovascular toxicity / proarrhythmic risk." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-008,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-008,temporal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,doi:10.1371/journal.pcbi.1006597,2019,figure,"Fig. 1a and S1 Video: activation times, repeated blocks, delayed propagation into left/right regions",0,"Сравните, какой вариант лучше удерживает temporal ordering в activation map/video: от точки стимуляции волна сначала расходится, затем блокируется, после задержки идёт в left/right regions и снова фракционируется, а не описывается как статическая сеть проводимости." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-009,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-009,temporal_hard,True,A model for human ventricular tissue,doi:10.1152/ajpheart.00794.2003,2004,figure_or_table,AP traces / restitution curves / time-dependent gating variables in model outputs,0,"Сравните, какой вариант лучше различает быстрые изменения мембранного потенциала, динамику gating variables и более медленные изменения APD/restitution в human ventricular tissue model, не смешивая временные масштабы single-cell and tissue outputs." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-010,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-010,temporal_hard,True,Advanced Cardiovascular Toxicity Screening: Integrating Human iPSC-Derived Cardiomyocytes with 2D In Silico Models,doi:10.1007/s12012-025-09987-1,2025,mixed,Drug exposure / screening workflow / model-output sequence across experimental and in silico layers,0,"Сравните, какой вариант лучше удерживает порядок: сначала experimental hiPSC-CM readouts, затем parameter/model integration, затем 2D tissue-level prediction and toxicity interpretation; ответ не должен превращать pipeline в один одномоментный вывод." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-011,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-011,easy_control,False,Basic Mechanisms of Cardiac Impulse Propagation and Associated Arrhythmias,doi:10.1152/physrev.00025.2003,2004,page,Abstract / introduction-level review summary,0,"Сравните, какой вариант точнее передаёт общий тезис обзора: как generation and propagation of cardiac action potentials связаны с arrhythmia mechanisms, без необходимости извлекать сложные значения из figure/table." -task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-012,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-012,easy_control,False,Optical Imaging of the Heart,doi:10.1161/01.RES.0000130529.18016.35,2004,page,Abstract / review overview of optical techniques in cardiac electrophysiology,0,"Сравните, какой вариант лучше формулирует основную роль optical imaging in cardiac electrophysiology: какие вопросы оно помогает изучать и почему это не просто обычная видеозапись сердца." -task3:64495d27da:case-001,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-001,multimodal_hard,True,Nonlinear exceptional-point lasing with ab initio Maxwell– Bloch theory,doi: 10.1063/5.0105963,2022,figure,"p.2, Fig.1",2,"Извлеките отношение накачек D1 к D2, для которого наблюдаются особые точки." -task3:64495d27da:case-002,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-002,multimodal_hard,True,Observation of trapped light within the radiation continu-um,doi: 10.1038/nature12289,2013,figure,"p.3, Fig.3",2,"Извлеките из рисунка 3 и подписи к нему значения угла и длины волны, соответствующие связанному состоянию в континууме (ССК)." -task3:64495d27da:case-003,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-003,multimodal_hard,True,Reversing the pump depend-ence of a laser at an excep-tional point,doi: 10.1038/ncomms5034,2014,figure,"p.4, Fig.2c",1,"Извлеките из рисунка 2c и подписи к нему диапазон значений поля, в котором зависимость интенсивности генерации от поля накачки инвертирована." -task3:64495d27da:case-004,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-004,multimodal_hard,True,Ultrasensitive optical absorp-tion in graphene based on bound states in the continu-um,doi: 10.1038/srep08266,2015,figure,"p.2, Fig.1",2,"Извлеките из рисунка 1 значения длины волны и волнового вектора (kx), при которых наблюдаются связанные состояния в континууме." -task3:64495d27da:case-005,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-005,multimodal_hard,True,Optical hydrogen sensing with high‑Q guided‑mode resonance of ­Al2O3/WO3/Pd nanostructure,doi: 10.1038/s41598-023-28204-z,2023,figure,"p.3, Fig.1",2,"Извлеките из рисунка 1 геометрические параметры структуры и материалы, из которых она состоит." -task3:64495d27da:case-006,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-006,temporal_hard,True,Optical hydrogen sensing with high‑Q guided‑mode resonance of Al2O3/WO3/Pd nanostructure,doi: 10.1038/s41598-023-28204-z,2023,figure,"p.5, Fig.4",2,"Извлеките моменты времени (в минутах), в которые подаётся водород в различной концентрации (0, 100, 1000 ppm, ...)." -task3:64495d27da:case-007,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-007,temporal_hard,True,Nonlinear exceptional-point lasing with ab initio Maxwell– Bloch theory,doi: 10.1063/5.0105963,2022,figure,"p.2, Fig.1",2,"Извлеките из рисунка 1 отношение накачек D1/D2, при котором наблюдается фазовый переход между PT-симметричным и PT-несимметричным состояниями." -task3:64495d27da:case-008,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-008,easy_control,True,Bloch surface eigenstates within the radiation continuum,doi: 10.1038/lsa.2013.40,2013,mixed,"p.2, Fig.1",2,"Опишите структуру, в которой авторы предлагают наблюдать связанное состояние в континууме." -task3:dosi_onur_task3:case-001,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-001,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure,"p.2, Fig.1",2,"Сравните, какой вариант точнее отражает различие в уровне Fusobacterium между adenoma cases и control на Figure 1, включая направление и относительную величину различия." -task3:dosi_onur_task3:case-002,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-002,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,table,"p.2, Table 2",1,"Сравните, какой вариант точнее извлекает зависимость риска аденом от уровня Fusobacterium (tertiles) в Table 2, включая корректное указание odds ratio для высокой группы." -task3:dosi_onur_task3:case-003,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-003,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure,"p.4, Fig.3",1,"Сравните, какой вариант точнее отражает связь между уровнем Fusobacterium и экспрессией цитокинов (например, IL-10 и TNF-α) на Figure 3, включая направление корреляции." -task3:dosi_onur_task3:case-004,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-004,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure,"p.4, Fig.4",2,"Сравните, какой вариант точнее отражает различие уровня Fusobacterium между нормальной и опухолевой тканью по всем пациентам на Figure 4." -task3:dosi_onur_task3:case-005,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-005,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure,"p.3, Fig.2",3,"Сравните, какой вариант точнее описывает локализацию Fusobacterium в тканях (например, в mucus layer и colonic crypts) на Figure 2." -task3:dosi_onur_task3:case-006,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-006,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure_or_table,"p.2, Fig.1; Table 2",2,"Сравните, какой вариант лучше объединяет данные из Figure 1 и Table 2, связывая уровень Fusobacterium с риском аденом." -task3:dosi_onur_task3:case-007,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-007,multimodal_hard,True,Fusobacterium nucleatum Promotes Colorectal Carcinogenesis by Modulating E-Cadherin/β-Catenin Signaling via its FadA Adhesin,doi:10.1016/j.chom.2013.07.012,2013,figure,"p.15, Fig.2",3,"Сравните, какой вариант точнее отражает экспериментальное доказательство связывания FadA с E-cadherin на Figure 2." +task3:8ec4fdad1a:case-003,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-003,easy_control,True,"""AI Agents Simulate Behavioral Biases in Financial Markets",10.1007/s42001-026-00465-4,2026,page,p.8,4,Определите определение 'herd mentality' и его проявление в росте VWAP.. +task3:8ec4fdad1a:case-004,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-004,multimodal_hard,True,"AI Agents Simulate Behavioral Biases in Financial Markets""",10.1007/s42001-026-00465-4,2026,table,Table 1,4,"Определите, сколько типов personality настроено в агентах и какие именно bias (overconfidence, loss_aversion, dissonance) им назначены.." +task3:8ec4fdad1a:case-005,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-005,multimodal_hard,True,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,figure,Fig.6,4,Свяжите усиление 'herding' и 'overconfidence' с началом пузыря.. +task3:8ec4fdad1a:case-006,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-006,multimodal_hard,True,AI Agents Simulate Behavioral Biases in Financial Market,10.1007/s42001-026-00465-4,2026,figure_or_table,Fig.3,4,"Сравните, насколько точно каждый VLM извлекает из Figure 3 значения VWAP и trade volume на разных фазах пузыря и связывает их с bias-параметрами агентов" +task3:8ec4fdad1a:case-007,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-007,multimodal_hard,True,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,table,Table 2,4,"Интерпретируйте данные Table 2: какой bias (overconfidence, loss aversion, dissonance) сильнее всего коррелирует с аномальным ростом VWAP.." +task3:8ec4fdad1a:case-008,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-008,temporal_hard,True,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,figure,Fig.2,4,"Определите, сколько типов personality настроено в агентах (из Figure 2) и какие bias к ним привязаны." +task3:8ec4fdad1a:case-009,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-009,temporal_hard,True,AI Agents Simulate Behavioral Biases in Financial Market,10.1007/s42001-026-00465-4,2026,figure,Fig.6,4,Определите момент перехода 'herding' → 'overconfidence' по временной шкале и связывает его с рыночным пузырём. +task3:8ec4fdad1a:case-010,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-010,temporal_hard,True,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,table,Table 3,4,Определите временную задержку между ростом bias и проявлением рыночного эффекта (пузырь/крах) из Table 3.. +task3:8ec4fdad1a:case-011,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-011,easy_control,False,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,page,p.5,4,"Определите три основных bias, перечисленных в явном виде на странице 5.." +task3:8ec4fdad1a:case-012,Использование агентов на больших языковых моделях (LLM) для моделирования влияния поведенческих предубеждений (bias) на динамику фондового рынка.,екатерина-александровна-кубракова__8ec4fdad1a,CASE-012,easy_control,False,AI Agents Simulate Behavioral Biases in Financial Markets,10.1007/s42001-026-00465-4,2026,page,p.10,4,"Сравните, правильно ли каждый VLM определяет, какой тип личности агента (conservative / aggressive) привёл к loss aversion" +task3:c5c57bba7e:case-001,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-001,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,10.1371/journal.pcbi.1006597,2019,figure,Fig 6b,4,Сравните какой вариант лучше извлекает данные о пороговом значении процента фибробластов из графика при разных Ebond +task3:c5c57bba7e:case-002,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-002,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,10.1371/journal.pcbi.1006597,2019,table,Table 1,4,Сравните какой вариант лучше извлекает данные о значении параметров из таблицы +task3:c5c57bba7e:case-003,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-003,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,10.1371/journal.pcbi.1006597,2019,formula,Eq 2,4,Сравните какой вариант лучше извлекает формулу Hjunctions из картинки с формулой после уравнения 1 +task3:c5c57bba7e:case-004,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-004,multimodal_hard,True,Discrete Anisotropy Model of Heterogeneous Cardiac Tissue Predicting the Occurrence of Symmetry Breaking of Reentrant Activity,10.1134/S0021364024600782,2024,figure,Fig 1,4,Извлеките данные о размере образца. +task3:c5c57bba7e:case-005,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-005,multimodal_hard,True,Virtual cardiac monolayers for electrical wave propagation,10.1038/s41598-017-07653-3,2017,figure,Fig 2,4,Определите морфологические метрики кардиомиоцитов и фибробластов из экспериментов. +task3:c5c57bba7e:case-006,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-006,temporal_hard,True,Simulation of the differential adhesion driven rearrangement of biological cells,10.1103/PhysRevE.47.2128,1993,figure,Fig 5a,4,"Сравните, какой вариант лучше лучше определяет время выхода на плато длины границ в эксперименте на рисунке 5а" +task3:c5c57bba7e:case-007,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-007,temporal_hard,True,Simulation of the differential adhesion driven rearrangement of biological cells,10.1103/PhysRevE.47.2128,1993,figure,Fig 13c,4,"Определите время в шагах Монте-Карло (MCS), когда длина гетеротипических границ примерно равна длине гомотипических границ на рисунке 13с." +task3:c5c57bba7e:case-008,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-008,temporal_hard,True,Simulation of the differential adhesion driven rearrangement of biological cells,10.1103/PhysRevE.47.2128,1993,figure,Fig 19b,4,"Определите время в шагах Монте-Карло (MCS), когда длина гетеротипических границ для разных сочетаний (темные со светлыми, темные с окружением, светлые с окружением) начинают заметно расходиться на рисунке 19b." +task3:c5c57bba7e:case-009,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-009,temporal_hard,True,Generation and maturation of human iPSC-derived 3D organotypic cardiac microtissues in long-term culture,10.1038/s41598-022-22225-w,2022,figure,Fig 2,4,"Сравните, какой вариант лучше различает какой график к какому периоду относится" +task3:c5c57bba7e:case-010,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-010,temporal_hard,True,Advanced Cardiovascular Toxicity Screening: Integrating Human iPSC-Derived Cardiomyocytes with 2D In Silico Models,10.1007/s12012-025-09987-1,2025,figure,Graphical Abstract,4,"Сравните, какой вариант лучше понимает какой цвет означает более позднюю стадию распространения волны" +task3:c5c57bba7e:case-011,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-011,easy_control,False,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,doi:10.1371/journal.pcbi.1006597,2019,page,Abstract,4,"Сравните, какой вариант лучше формулирует общий тезис статьи о причинах значения порога перколяции" +task3:c5c57bba7e:case-012,Cellular and electrophysiological models for study the role of cardiac tissue fibrosis in the onset of atrial fibrillation for modeling ablation therapy,вадим-наумов__c5c57bba7e,CASE-012,easy_control,False,Modeling the functional heterogeneity and conditions for the occurrence of microreentry in procedurally created atrial fibrous tissue,doi:10.1063/5.0151624,2023,page,Methods,4,Опишите Гамильтониан и его слагаемые в клеточной модели. +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-001,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-001,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,doi:10.1371/journal.pcbi.1006597,2019,figure,"Fig. 1: activation map, blocked regions, main propagation pathways, velocity decay and percolation threshold",4,"Сравните, какой вариант лучше считывает Fig. 1: где находятся блоки проведения, по каким узким путям распространяется волна, как меняется velocity при росте доли non-conducting cells и какой percolation threshold указан на графике." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-002,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-002,multimodal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,doi:10.1371/journal.pcbi.1006597,2019,figure_or_table,"Fig. 6 and Table 1: virtual monolayers, E bond conditions, velocity vs density, percolation threshold",4,"Сравните, какой вариант лучше связывает Fig. 6 с параметрами модели: различает orange/blue условия cytoskeleton alignment, не путает simulated fibroblast density с experimental fraction и корректно переносит threshold/velocity evidence." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-003,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-003,multimodal_hard,True,Simulation of the differential adhesion driven rearrangement of biological cells,doi:10.1103/PhysRevE.47.2128,1993,figure_or_table,Simulation snapshots and parameter tables for differential adhesion / extended Potts model,4,"Извлеките из визуализаций cell sorting, какие клеточные типы перераспределяются, как differential adhesion задаёт rearrangement, и не превращает Potts-model evidence в общий текст про миграцию клеток.." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-004,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-004,multimodal_hard,True,A model for human ventricular tissue,doi:10.1152/ajpheart.00794.2003,2004,formula,Model equations / current definitions / AP trace and restitution-style figures,4,"Сравните, какой вариант лучше восстанавливает структуру human ventricular tissue model: какие ионные токи и переменные входят в формулы, какие параметры относятся к single-cell AP, а какие — к tissue propagation, без добавления несуществующих channels." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-005,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-005,multimodal_hard,True,Optical Imaging of the Heart,doi:10.1161/01.RES.0000130529.18016.35,2004,mixed,"Review figures/tables on optical mapping, voltage-sensitive dyes, activation and repolarization maps",4,"Сравните, какой вариант лучше переносит из схем и таблиц optical imaging pipeline: что именно измеряется оптическим сигналом, где activation map отличается от repolarization map, и какие ограничения относятся к dye/motion artifact, а не к electrophysiology как таковой." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-006,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-006,multimodal_hard,True,Modeling the functional heterogeneity and conditions for the occurrence of microreentry in procedurally created atrial fibrous tissue,doi:10.1063/5.0151624,2023,figure_or_table,"Figures/tables with procedurally created atrial fibrous tissue, heterogeneity settings and microreentry conditions",4,"Извлеките из схем и карт модели, при каких параметрах fibrous tissue возникает microreentry: геометрия, conduction heterogeneity, obstacle/fibrosis pattern и условия устойчивого reentry не должны смешиваться в один общий фактор.." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-007,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-007,multimodal_hard,True,Advanced Cardiovascular Toxicity Screening: Integrating Human iPSC-Derived Cardiomyocytes with 2D In Silico Models,doi:10.1007/s12012-025-09987-1,2025,mixed,"Workflow figures/tables linking hiPSC-CM readouts, 2D in silico model outputs and toxicity endpoints",4,"Сравните, какой вариант лучше связывает workflow evidence: какие данные приходят из hiPSC-derived cardiomyocytes, какие — из 2D in silico model, и где именно формируется вывод о cardiovascular toxicity / proarrhythmic risk." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-008,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-008,temporal_hard,True,Self-organization of conducting pathways explains electrical wave propagation in cardiac tissues with high fraction of non-conducting cells,doi:10.1371/journal.pcbi.1006597,2019,figure,"Fig. 1a and S1 Video: activation times, repeated blocks, delayed propagation into left/right regions",4,"Сравните, какой вариант лучше удерживает temporal ordering в activation map/video: от точки стимуляции волна сначала расходится, затем блокируется, после задержки идёт в left/right regions и снова фракционируется, а не описывается как статическая сеть проводимости." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-009,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-009,temporal_hard,True,A model for human ventricular tissue,doi:10.1152/ajpheart.00794.2003,2004,figure_or_table,AP traces / restitution curves / time-dependent gating variables in model outputs,4,"Сравните, какой вариант лучше различает быстрые изменения мембранного потенциала, динамику gating variables и более медленные изменения APD/restitution в human ventricular tissue model, не смешивая временные масштабы single-cell and tissue outputs." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-010,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-010,temporal_hard,True,Advanced Cardiovascular Toxicity Screening: Integrating Human iPSC-Derived Cardiomyocytes with 2D In Silico Models,doi:10.1007/s12012-025-09987-1,2025,mixed,Drug exposure / screening workflow / model-output sequence across experimental and in silico layers,4,"Сравните, какой вариант лучше удерживает порядок: сначала experimental hiPSC-CM readouts, затем parameter/model integration, затем 2D tissue-level prediction and toxicity interpretation; ответ не должен превращать pipeline в один одномоментный вывод." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-011,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-011,easy_control,False,Basic Mechanisms of Cardiac Impulse Propagation and Associated Arrhythmias,doi:10.1152/physrev.00025.2003,2004,page,Abstract / introduction-level review summary,4,"Сравните, какой вариант точнее передаёт общий тезис обзора: как generation and propagation of cardiac action potentials связаны с arrhythmia mechanisms, без необходимости извлекать сложные значения из figure/table." +task3:semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427:case-012,"Cardiac tissue electrophysiology, optical mapping, fibrosis, microreentry, hiPSC-derived cardiomyocytes and in silico safety models",semidetnov-ivan__cardiac-electrophysiology-doi-set__20260427,CASE-012,easy_control,False,Optical Imaging of the Heart,doi:10.1161/01.RES.0000130529.18016.35,2004,page,Abstract / review overview of optical techniques in cardiac electrophysiology,4,"Сравните, какой вариант лучше формулирует основную роль optical imaging in cardiac electrophysiology: какие вопросы оно помогает изучать и почему это не просто обычная видеозапись сердца." +task3:64495d27da:case-001,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-001,multimodal_hard,True,Nonlinear exceptional-point lasing with ab initio Maxwell– Bloch theory,doi: 10.1063/5.0105963,2022,figure,"p.2, Fig.1",4,"Извлеките отношение накачек D1 к D2, для которого наблюдаются особые точки." +task3:64495d27da:case-002,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-002,multimodal_hard,True,Observation of trapped light within the radiation continu-um,doi: 10.1038/nature12289,2013,figure,"p.3, Fig.3",4,"Извлеките из рисунка 3 и подписи к нему значения угла и длины волны, соответствующие связанному состоянию в континууме (ССК)." +task3:64495d27da:case-003,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-003,multimodal_hard,True,Reversing the pump depend-ence of a laser at an excep-tional point,doi: 10.1038/ncomms5034,2014,figure,"p.4, Fig.2c",4,"Извлеките из рисунка 2c и подписи к нему диапазон значений поля, в котором зависимость интенсивности генерации от поля накачки инвертирована." +task3:64495d27da:case-004,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-004,multimodal_hard,True,Ultrasensitive optical absorp-tion in graphene based on bound states in the continu-um,doi: 10.1038/srep08266,2015,figure,"p.2, Fig.1",4,"Извлеките из рисунка 1 значения длины волны и волнового вектора (kx), при которых наблюдаются связанные состояния в континууме." +task3:64495d27da:case-005,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-005,multimodal_hard,True,Optical hydrogen sensing with high‑Q guided‑mode resonance of ­Al2O3/WO3/Pd nanostructure,doi: 10.1038/s41598-023-28204-z,2023,figure,"p.3, Fig.1",4,"Извлеките из рисунка 1 геометрические параметры структуры и материалы, из которых она состоит." +task3:64495d27da:case-006,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-006,temporal_hard,True,Optical hydrogen sensing with high‑Q guided‑mode resonance of Al2O3/WO3/Pd nanostructure,doi: 10.1038/s41598-023-28204-z,2023,figure,"p.5, Fig.4",4,"Извлеките моменты времени (в минутах), в которые подаётся водород в различной концентрации (0, 100, 1000 ppm, ...)." +task3:64495d27da:case-007,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-007,temporal_hard,True,Nonlinear exceptional-point lasing with ab initio Maxwell– Bloch theory,doi: 10.1063/5.0105963,2022,figure,"p.2, Fig.1",4,"Извлеките из рисунка 1 отношение накачек D1/D2, при котором наблюдается фазовый переход между PT-симметричным и PT-несимметричным состояниями." +task3:64495d27da:case-008,Spectral effects in different electrodynamic systems,дмитрии-константинович-высоких__64495d27da,CASE-008,easy_control,True,Bloch surface eigenstates within the radiation continuum,doi: 10.1038/lsa.2013.40,2013,mixed,"p.2, Fig.1",4,"Опишите структуру, в которой авторы предлагают наблюдать связанное состояние в континууме." +task3:dosi_onur_task3:case-001,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-001,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure,"p.2, Fig.1",4,"Сравните, какой вариант точнее отражает различие в уровне Fusobacterium между adenoma cases и control на Figure 1, включая направление и относительную величину различия." +task3:dosi_onur_task3:case-002,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-002,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,table,"p.2, Table 2",4,"Сравните, какой вариант точнее извлекает зависимость риска аденом от уровня Fusobacterium (tertiles) в Table 2, включая корректное указание odds ratio для высокой группы." +task3:dosi_onur_task3:case-003,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-003,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure,"p.4, Fig.3",4,"Сравните, какой вариант точнее отражает связь между уровнем Fusobacterium и экспрессией цитокинов (например, IL-10 и TNF-α) на Figure 3, включая направление корреляции." +task3:dosi_onur_task3:case-004,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-004,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure,"p.4, Fig.4",4,"Сравните, какой вариант точнее отражает различие уровня Fusobacterium между нормальной и опухолевой тканью по всем пациентам на Figure 4." +task3:dosi_onur_task3:case-005,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-005,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure,"p.3, Fig.2",4,"Сравните, какой вариант точнее описывает локализацию Fusobacterium в тканях (например, в mucus layer и colonic crypts) на Figure 2." +task3:dosi_onur_task3:case-006,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-006,multimodal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure_or_table,"p.2, Fig.1; Table 2",4,"Сравните, какой вариант лучше объединяет данные из Figure 1 и Table 2, связывая уровень Fusobacterium с риском аденом." +task3:dosi_onur_task3:case-007,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-007,multimodal_hard,True,Fusobacterium nucleatum Promotes Colorectal Carcinogenesis by Modulating E-Cadherin/β-Catenin Signaling via its FadA Adhesin,doi:10.1016/j.chom.2013.07.012,2013,figure,"p.15, Fig.2",4,"Сравните, какой вариант точнее отражает экспериментальное доказательство связывания FadA с E-cadherin на Figure 2." task3:dosi_onur_task3:case-008,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-008,temporal_hard,True,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,figure_or_table,"p.2–4, Fig.1; Table 2; Fig.4",4,"Сравните, какой вариант лучше отражает роль Fusobacterium на разных стадиях заболевания (от аденомы к более поздним стадиям), сохраняя временную логику." -task3:dosi_onur_task3:case-009,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-009,temporal_hard,True,Fusobacterium nucleatum Potentiates Intestinal Tumorigenesis and Modulates the Tumor-Immune Microenvironment,doi:10.1016/j.chom.2013.07.007,2013,figure,"p.3, Fig.2",3,"Сравните, какой вариант точнее отражает изменение числа опухолей и других показателей после воздействия Fusobacterium nucleatum в эксперименте на мышах (Figure 2)." -task3:dosi_onur_task3:case-010,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-010,temporal_hard,True,Fusobacterium nucleatum Potentiates Intestinal Tumorigenesis and Modulates the Tumor-Immune Microenvironment,doi:10.1016/j.chom.2013.07.007,2013,figure,"p.3, Fig.2",3,"Сравните, какой вариант точнее отражает изменения в иммунной среде после воздействия Fusobacterium nucleatum, включая гистологические и воспалительные показатели (Figure 2)." -task3:dosi_onur_task3:case-011,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-011,easy_control,False,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,page,p.1,1,"Сравните, какой вариант точнее формулирует основную идею статьи о связи Fusobacterium с колоректальными аденомами." +task3:dosi_onur_task3:case-009,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-009,temporal_hard,True,Fusobacterium nucleatum Potentiates Intestinal Tumorigenesis and Modulates the Tumor-Immune Microenvironment,doi:10.1016/j.chom.2013.07.007,2013,figure,"p.3, Fig.2",4,"Сравните, какой вариант точнее отражает изменение числа опухолей и других показателей после воздействия Fusobacterium nucleatum в эксперименте на мышах (Figure 2)." +task3:dosi_onur_task3:case-010,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-010,temporal_hard,True,Fusobacterium nucleatum Potentiates Intestinal Tumorigenesis and Modulates the Tumor-Immune Microenvironment,doi:10.1016/j.chom.2013.07.007,2013,figure,"p.3, Fig.2",4,"Сравните, какой вариант точнее отражает изменения в иммунной среде после воздействия Fusobacterium nucleatum, включая гистологические и воспалительные показатели (Figure 2)." +task3:dosi_onur_task3:case-011,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-011,easy_control,False,Fusobacterium Is Associated with Colorectal Adenomas,doi:10.1371/journal.pone.0053653,2013,page,p.1,4,"Сравните, какой вариант точнее формулирует основную идею статьи о связи Fusobacterium с колоректальными аденомами." task3:dosi_onur_task3:case-012,Multimodal and temporal analysis of Fusobacterium nucleatum in colorectal cancer progression,dosi_onur_task3,CASE-012,easy_control,False,Fusobacterium nucleatum Promotes Colorectal Carcinogenesis by Modulating E-Cadherin/β-Catenin Signaling via its FadA Adhesin,doi:10.1016/j.chom.2013.07.012,2013,page,p.2–5,4,"Сравните, какой вариант точнее описывает роль FadA в механизме действия Fusobacterium nucleatum." task3:ebb8391305:case-001,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-001,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.9, Fig.5",4,"Сравните, какой вариант точнее считывает порядок значений электронной концентрации (ось X) для слоя F2 в дневное время, учитывая логарифмический масштаб оси." -task3:ebb8391305:case-002,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-002,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.21, Fig.14",0,"Проверьте, какой вариант точно извлекает численное значение критической частоты foF2 (5.35 МГц) из мелкого текста, наложенного на плотную цветную ионограмму." -task3:ebb8391305:case-003,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-003,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.21, Fig.14",0,"Оцените, какой вариант корректно различает моды радиосигнала (Z-мода, O-мода, X-мода) и связывает их с соответствующими кривыми на графике." -task3:ebb8391305:case-004,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-004,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.12, Fig.8",1,"Сравните, какой вариант лучше понимает разницу между синими лучами (сигналы ГНСС) и красными лучами (зондирование с низкоорбитального спутника)." -task3:ebb8391305:case-005,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-005,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.19, Fig.12",1,"Проверьте, какой вариант правильно идентифицирует расположение длинных антенн ионозонда ЛАЭРТ и антенны прибора МАЯК на конструкции спутника." -task3:ebb8391305:case-006,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-006,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.14, Fig.9",1,"Сравните, какой вариант корректно извлекает пространственную информацию о том, что высокочастотная волна (High-frequency wave) направлена вверх, а низкочастотная (Low-frequency) возникает в турбулентном объеме и идет вниз." -task3:ebb8391305:case-007,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-007,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.22, Fig.15",0,"Оцените, какой вариант правильно понимает структуру составного рисунка: верхняя панель (А) — электрическая компонента, нижняя (Б) — магнитная." +task3:ebb8391305:case-002,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-002,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.21, Fig.14",4,"Проверьте, какой вариант точно извлекает численное значение критической частоты foF2 (5.35 МГц) из мелкого текста, наложенного на плотную цветную ионограмму." +task3:ebb8391305:case-003,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-003,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.21, Fig.14",4,"Оцените, какой вариант корректно различает моды радиосигнала (Z-мода, O-мода, X-мода) и связывает их с соответствующими кривыми на графике." +task3:ebb8391305:case-004,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-004,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.12, Fig.8",4,"Сравните, какой вариант лучше понимает разницу между синими лучами (сигналы ГНСС) и красными лучами (зондирование с низкоорбитального спутника)." +task3:ebb8391305:case-005,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-005,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.19, Fig.12",4,"Проверьте, какой вариант правильно идентифицирует расположение длинных антенн ионозонда ЛАЭРТ и антенны прибора МАЯК на конструкции спутника." +task3:ebb8391305:case-006,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-006,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.14, Fig.9",4,"Сравните, какой вариант корректно извлекает пространственную информацию о том, что высокочастотная волна (High-frequency wave) направлена вверх, а низкочастотная (Low-frequency) возникает в турбулентном объеме и идет вниз." +task3:ebb8391305:case-007,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-007,multimodal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.22, Fig.15",4,"Оцените, какой вариант правильно понимает структуру составного рисунка: верхняя панель (А) — электрическая компонента, нижняя (Б) — магнитная." task3:ebb8391305:case-008,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-008,temporal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.9, Fig.5",4,"Сравните, какой вариант лучше улавливает временную динамику (день vs ночь), в частности полное исчезновение слоя D в ночное время на графике профиля." -task3:ebb8391305:case-009,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-009,temporal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.15, Fig.11",1,"Проверьте, какой вариант точнее формулирует разницу в дальности распространения радиосигнала днем и ночью из-за изменения слоев ионосферы." -task3:ebb8391305:case-010,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-010,temporal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.22, Fig.15",0,"Оцените, какой вариант правильно извлекает конкретный временной интервал (с начала измерений до 22:47:00), в котором наблюдаются естественные электростатические колебания." -task3:ebb8391305:case-011,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-011,easy_control,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.12, Fig.7",1,"Проверьте, какой вариант правильно описывает базовые компоненты схемы отражения радиосигнала (Земля, ионосфера, антенны)." -task3:ebb8391305:case-012,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-012,easy_control,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.20, Fig.13",0,"Сравните, какой вариант корректно определяет количество спутников (4 КА) и количество орбитальных плоскостей на схеме проекта Ионозонд." -task3:df07798d94:case-001,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-001,multimodal_hard,True,3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods,arxiv:2407.09510,2024,figure,Figure 1,1,Сравните какой вариант лучше извлекает данные из гистограммы и использует его в hypothesis support -task3:df07798d94:case-002,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-002,multimodal_hard,True,3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods,arxiv:2407.09510,2024,figure,Figure 2,2,Сравните какой вариант лучше извлекает данные из heatmap и использует его в hypothesis support -task3:df07798d94:case-003,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-003,multimodal_hard,True,Efficient Geometry-aware 3D Generative Adversarial Networks,arxiv:2112.07945,2024,table,Table 1,1,Сравните какой вариант лучше извлекает данные из таблицы и использует его в hypothesis support -task3:df07798d94:case-004,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-004,multimodal_hard,True,Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives,arxiv:2412.00578,2024,table,Table 2,0,Сравните какой вариант лучше извлекает данные из таблицы и использует его в hypothesis support -task3:df07798d94:case-005,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-005,multimodal_hard,True,MOBILE-GS: REAL-TIME GAUSSIAN SPLATTING FOR MOBILE DEVICES,arxiv:2603.11531,2026,figure,Figure 2,2,Сравните какой вариант лучше извлекает данные из диаграммы и использует его в hypothesis support -task3:df07798d94:case-006,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-006,multimodal_hard,True,MOBILE-GS: REAL-TIME GAUSSIAN SPLATTING FOR MOBILE DEVICES,arxiv:2603.11531,2026,formula,Figure 9,1,Сравните какой вариант лучше извлекает данные из pie chart и использует его в hypothesis support -task3:df07798d94:case-007,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-007,multimodal_hard,True,MOBILE-GS: REAL-TIME GAUSSIAN SPLATTING FOR MOBILE DEVICES,arxiv:2603.11531,2026,formula,formula 3,0,Сравните какой вариант лучше извлекает данные из формулы и использует их в hypothesis support -task3:gorbunov-ivan-yurievich__0d769c50eb:case-001,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-001,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.2, Fig.1",2,"Сравнить, сколько кубитов в процессоре выводят модели, исходя из иллюстрации." -task3:gorbunov-ivan-yurievich__0d769c50eb:case-002,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-002,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.3, Fig.2",3,"Сравните, какой вариант правильно сопоставляет характер изменения заселенности измеряемого кубита со значением магнитного потока через кольцо из кубитов в подграфике a." -task3:gorbunov-ivan-yurievich__0d769c50eb:case-003,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-003,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.3, Fig.2",3,"Сравните, какой вариант правильно описывает изменение максимальной заселенности измеряемого кубита при увеличении числа кубитов в кольце в эксперименте по наблюдению интерференции." -task3:gorbunov-ivan-yurievich__0d769c50eb:case-004,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-004,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.4, Fig.3",1,"Сравните, какой вариант правильнее объясняет физическую причину идентичности интерференционных картин на Fig. 3 и корректно связывает это объяснение с одинаковой суммой фаз Пайерлса вдоль одного и того же контура." -task3:gorbunov-ivan-yurievich__0d769c50eb:case-005,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-005,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.5, Fig.4",2,"Сравните, какой вариант правильно называет номера и положение кубитов в самой решетке 4х4, значение заселенности которых является наименьшим в эксперименте по осцилляциям Блоха." +task3:ebb8391305:case-009,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-009,temporal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.15, Fig.11",4,"Проверьте, какой вариант точнее формулирует разницу в дальности распространения радиосигнала днем и ночью из-за изменения слоев ионосферы." +task3:ebb8391305:case-010,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-010,temporal_hard,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.22, Fig.15",4,"Оцените, какой вариант правильно извлекает конкретный временной интервал (с начала измерений до 22:47:00), в котором наблюдаются естественные электростатические колебания." +task3:ebb8391305:case-011,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-011,easy_control,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.12, Fig.7",4,"Проверьте, какой вариант правильно описывает базовые компоненты схемы отражения радиосигнала (Земля, ионосфера, антенны)." +task3:ebb8391305:case-012,Ионосфера Земли и проект «Ионозонд»,матвеи-замятин-сергеевич__ebb8391305,CASE-012,easy_control,False,ТАЙНЫ ИОНОСФЕРЫ ЗЕМЛИ И ПРОЕКТ «ИОНОЗОНД» ДЛЯ ИХ РАСКРЫТИЯ,10.7868/S0044394825030016,2025,figure,"p.20, Fig.13",4,"Сравните, какой вариант корректно определяет количество спутников (4 КА) и количество орбитальных плоскостей на схеме проекта Ионозонд." +task3:df07798d94:case-001,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-001,multimodal_hard,True,3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods,arxiv:2407.09510,2024,figure,Figure 1,4,Сравните какой вариант лучше извлекает данные из гистограммы и использует его в hypothesis support +task3:df07798d94:case-002,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-002,multimodal_hard,True,3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods,arxiv:2407.09510,2024,figure,Figure 2,4,Сравните какой вариант лучше извлекает данные из heatmap и использует его в hypothesis support +task3:df07798d94:case-003,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-003,multimodal_hard,True,Efficient Geometry-aware 3D Generative Adversarial Networks,arxiv:2112.07945,2024,table,Table 1,4,Сравните какой вариант лучше извлекает данные из таблицы и использует его в hypothesis support +task3:df07798d94:case-004,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-004,multimodal_hard,True,Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives,arxiv:2412.00578,2024,table,Table 2,4,Сравните какой вариант лучше извлекает данные из таблицы и использует его в hypothesis support +task3:df07798d94:case-005,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-005,multimodal_hard,True,MOBILE-GS: REAL-TIME GAUSSIAN SPLATTING FOR MOBILE DEVICES,arxiv:2603.11531,2026,figure,Figure 2,4,Сравните какой вариант лучше извлекает данные из диаграммы и использует его в hypothesis support +task3:df07798d94:case-006,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-006,multimodal_hard,True,MOBILE-GS: REAL-TIME GAUSSIAN SPLATTING FOR MOBILE DEVICES,arxiv:2603.11531,2026,formula,Figure 9,4,Сравните какой вариант лучше извлекает данные из pie chart и использует его в hypothesis support +task3:df07798d94:case-007,3D reconstuction,мухорин-матвеи-дмитриевич__df07798d94,CASE-007,multimodal_hard,True,MOBILE-GS: REAL-TIME GAUSSIAN SPLATTING FOR MOBILE DEVICES,arxiv:2603.11531,2026,formula,formula 3,4,Сравните какой вариант лучше извлекает данные из формулы и использует их в hypothesis support +task3:gorbunov-ivan-yurievich__0d769c50eb:case-001,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-001,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.2, Fig.1",4,"Сравнить, сколько кубитов в процессоре выводят модели, исходя из иллюстрации." +task3:gorbunov-ivan-yurievich__0d769c50eb:case-002,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-002,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.3, Fig.2",4,"Сравните, какой вариант правильно сопоставляет характер изменения заселенности измеряемого кубита со значением магнитного потока через кольцо из кубитов в подграфике a." +task3:gorbunov-ivan-yurievich__0d769c50eb:case-003,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-003,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.3, Fig.2",4,"Сравните, какой вариант правильно описывает изменение максимальной заселенности измеряемого кубита при увеличении числа кубитов в кольце в эксперименте по наблюдению интерференции." +task3:gorbunov-ivan-yurievich__0d769c50eb:case-004,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-004,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.4, Fig.3",4,"Сравните, какой вариант правильнее объясняет физическую причину идентичности интерференционных картин на Fig. 3 и корректно связывает это объяснение с одинаковой суммой фаз Пайерлса вдоль одного и того же контура." +task3:gorbunov-ivan-yurievich__0d769c50eb:case-005,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-005,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.5, Fig.4",4,"Сравните, какой вариант правильно называет номера и положение кубитов в самой решетке 4х4, значение заселенности которых является наименьшим в эксперименте по осцилляциям Блоха." task3:gorbunov-ivan-yurievich__0d769c50eb:case-006,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-006,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.6, Fig.5",4,"Сравните, какой вариант правильно объясняет причину искривления графиков в эксперименте/симуляциях реального процессора (Actual device) по сравнению с симуляциями идеальной модели (HH model)." task3:gorbunov-ivan-yurievich__0d769c50eb:case-007,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-007,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.6, Fig.5",4,"Сравните, какой вариант правильно определяет направление начальной скорости частицы относительно направления электрического поля в эксперименте по наблюдению эффекта Холла." -task3:gorbunov-ivan-yurievich__0d769c50eb:case-008,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-008,easy_control,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,formula,"p.S4, p.S5, Fig.S1",0,"Сравните, какой вариант правильно определяет закон сдвига основной частоты кубита при наличии параметрической модуляции его энергии." -task3:gorbunov-ivan-yurievich__0d769c50eb:case-009,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-009,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,figure,Fig. 1,1,"Сравните, какой вариант правильно дает оценку размера кубита по масштабной шкале на подграфике a." -task3:gorbunov-ivan-yurievich__0d769c50eb:case-010,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-010,easy_control,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"Fig.1, p.2",2,"Сравните, какой вариант правильно определяет примерное значение максимума подграфика g" -task3:gorbunov-ivan-yurievich__0d769c50eb:case-011,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-011,temporal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.3, Fig.2",3,"Сравнить, какой вариант правильно оценивает моменты времени наибольшей заселенности при нулевом потоке через решетку для подграфика a." -task3:gorbunov-ivan-yurievich__0d769c50eb:case-012,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-012,temporal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,figure,Fig.4,1,"Сравнить, какой вариант правильно оценивает моменты времени нахождения частицы в центре одномерной цепочки для графика численных симуляций блоховский осцилляций для реального девайса (Actual device)" -task3:fred-westling__4e51465083:case-001,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-001,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.2, Fig.1",2,"Сравни, как точно описаны этапы пайплайна симуляции сканирования деревьев: от генерации дерева до итогового облака точек." -task3:fred-westling__4e51465083:case-002,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-002,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.3, Fig.2",3,"Сравни, какой вариант верно определяет параметры дерева в интерфейсе Arbaro (уровни ветвления, углы, длина)." -task3:fred-westling__4e51465083:case-003,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-003,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.2, Fig.3",2,"Сравни, как различаются orchard и forest layout по визуальному представлению и числовым параметрам (spacing, rows)." -task3:fred-westling__4e51465083:case-004,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-004,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.4, Fig.4",2,"Сравни, в чём отличие single-plane LiDAR от 9-beam LiDAR по внешнему виду лучей и угловым характеристикам" +task3:gorbunov-ivan-yurievich__0d769c50eb:case-008,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-008,easy_control,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,formula,"p.S4, p.S5, Fig.S1",4,"Сравните, какой вариант правильно определяет закон сдвига основной частоты кубита при наличии параметрической модуляции его энергии." +task3:gorbunov-ivan-yurievich__0d769c50eb:case-009,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-009,multimodal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,figure,Fig. 1,4,"Сравните, какой вариант правильно дает оценку размера кубита по масштабной шкале на подграфике a." +task3:gorbunov-ivan-yurievich__0d769c50eb:case-010,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-010,easy_control,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"Fig.1, p.2",4,"Сравните, какой вариант правильно определяет примерное значение максимума подграфика g" +task3:gorbunov-ivan-yurievich__0d769c50eb:case-011,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-011,temporal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,mixed,"p.3, Fig.2",4,"Сравнить, какой вариант правильно оценивает моменты времени наибольшей заселенности при нулевом потоке через решетку для подграфика a." +task3:gorbunov-ivan-yurievich__0d769c50eb:case-012,Superconducting quantum simulators,gorbunov-ivan-yurievich__0d769c50eb,CASE-012,temporal_hard,True,Implementing a Synthetic Magnetic Vector Potential in a 2D Superconducting Qubit Array,arXiv:2405.00873,2024,figure,Fig.4,4,"Сравнить, какой вариант правильно оценивает моменты времени нахождения частицы в центре одномерной цепочки для графика численных симуляций блоховский осцилляций для реального девайса (Actual device)" +task3:fred-westling__4e51465083:case-001,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-001,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.2, Fig.1",4,"Сравни, как точно описаны этапы пайплайна симуляции сканирования деревьев: от генерации дерева до итогового облака точек." +task3:fred-westling__4e51465083:case-002,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-002,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.3, Fig.2",4,"Сравни, какой вариант верно определяет параметры дерева в интерфейсе Arbaro (уровни ветвления, углы, длина)." +task3:fred-westling__4e51465083:case-003,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-003,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.2, Fig.3",4,"Сравни, как различаются orchard и forest layout по визуальному представлению и числовым параметрам (spacing, rows)." +task3:fred-westling__4e51465083:case-004,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-004,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.4, Fig.4",4,"Сравни, в чём отличие single-plane LiDAR от 9-beam LiDAR по внешнему виду лучей и угловым характеристикам" task3:fred-westling__4e51465083:case-005,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-005,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.5, Fig.5",4,"Сравни описания траектории Zeb1: двойной замкнутый контур, обход вокруг центрального дерева." -task3:fred-westling__4e51465083:case-006,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-006,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.5, Fig.6",3,"Сравни три типа траекторий (handheld, mobile, aerial) на одном и том же orchard stand." -task3:fred-westling__4e51465083:case-007,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-007,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.6, Fig.7",1,"Сравни, как правильно определить occluded point (зелёная точка) на схеме сканирования с одной линией." -task3:fred-westling__4e51465083:case-008,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-008,temporal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure,"p.7, Fig 10",2,"Сравни, как изменяется визуальное качество и структура облака точек при увеличении уровня шума с 0 м до 0.1 м на одной и той же траектории Zeb1." -task3:fred-westling__4e51465083:case-009,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-009,temporal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,page,p.11,0,"Опиши последовательность: сначала тренировка модели на симулированных данных SimTreeLS, затем transfer learning на реальных LiDAR-сканах. Что меняется между этапами?" -task3:fred-westling__4e51465083:case-010,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-010,temporal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure,"p.9, Fig 13",1,Сравни occlusion profile при смене сенсора с single-beam на 9-beam на одной и той же mobile trajectory (рис. 13). Что произошло с количеством видимых (зелёных) точек? -task3:fred-westling__4e51465083:case-011,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-011,easy_control,False,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,table," p.8, table.2",1,Извлеки значение p-value из t-теста для V-measure (сегментация) в таблице 2. -task3:fred-westling__4e51465083:case-012,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-012,easy_control,False,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.3, Fig.3",2,Какое минимальное расстояние между деревьями задаётся в forest layout (рис. 3)? -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-001,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-001,multimodal_hard,True,MARS: Unleashing the Power of Variance Reduction for Training Large Models,arxiv:2411.10438,2024,figure_or_table,"fig. 2, Tab. 1,",2,"Выявить, в какой из задач GPT-2 (Рис. 2) MARS дает наибольший относительный выигрыш в perplexity по сравнению с AdamW, и не перепутать его с табличными результатами ImageNet (Таб. 1)." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-002,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-002,multimodal_hard,True,"The AdEMAMix Optimizer: Better, Faster, Older",arxiv:2409.03137,2024,figure_or_table,"fig. 2, 3, 6, Tab. 2",2,"Найти на Рис. 6 сравнение AdEMAMix и AdamW по скорости забывания (forgetting) и определить, на каком количестве токенов преимущество становится явным." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-003,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-003,multimodal_hard,True,AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning,arxiv:2410.17881,2024,figure_or_table,"fig. 3, Tab. 2",1,"Сравнить значения точности и потребления памяти GPU для GPT-2 из Таблицы 2 при full fine-tuning, LoRA и AdaRankGrad." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-004,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-004,multimodal_hard,True,A Self-Attentive Meta-Optimizer with Group-Adaptive Learning Rates and Weight Decay,arxiv:2605.04055,2026,figure_or_table,"fig. 2, 3, Tab. 3, 4",2,"Определить по Рис. 3, на какой задаче (языковое моделирование, машинный перевод, классификация) MetaAdamW показывает максимальное и минимальное ускорение сходимости относительно AdamW." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-005,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-005,multimodal_hard,True,Adaptive Gradient Methods at the Edge of Stability,arxiv:2404.01864,2024,figure,"fig. 1, 3, 6, 7",1,"Проанализировать Рис. 7 (SGD vs. Adam на CIFAR-10) и описать, как меняется ландшафт потерь (loss landscape) в процессе обучения у Adam." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-006,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-006,multimodal_hard,True,Revisiting the Initial Steps in Adaptive Gradient Descent Optimization,arxiv:2412.00374,2024,figure,"fig. 1, 2, 3",1,"По Рис. 2 и 3 определить, как разная инициализация второго момента (data-driven vs random) в Adam влияет на стабильность потерь на ранних итерациях обучения Transformer." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-007,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-007,multimodal_hard,True,Adaptive Gradient Methods at the Edge of Stability,arxiv:2404.01714,2025,figure,"Fig. 1, 2, 3, 4, 5, 6, 7, 8",1,"Определить по совокупности рисунков 1–8, какие архитектуры и датасеты дают CG-like-Adam наибольшее преимущество перед Adam в точности и скорости сходимости" -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-008,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-008,temporal_hard,True,Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization,,,figure_or_table,"Table 1, 2, Fig. 1",2,"По рис. 1 объяснить, как меняется масштаб параметров (parameter scaling) в процессе обучения нейронной сети и как это связано с адаптивностью градиентного метода." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-009,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-009,temporal_hard,True,Towards Simple and Provable Parameter-Free Adaptive Gradient Methods,arxiv:2412.19444,2024,figure,"Fig. 1, 2",1,"По рис. 1, 2 сравнить траектории нормы градиента у предложенных AdaGrad++ и Adam++ с их оригинальными версиями на задаче логистической регрессии и ResNet-18." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-010,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-010,temporal_hard,True,Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective,arxiv:2402.03496,2024,figure_or_table,"Tab. 1, Fig.1, 2",2,"В таблице 1 сравнить результаты AdamW и метода без квадратного корня (NoSqrt) на задаче LRA и объяснить, какая задача является исключением из общего правила." -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-011,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-011,easy_control,False,Optimization Methods in Deep Learning: A Comprehensive Overview,arxiv:2305.16432,2023,figure_or_table,"Tab. 1,2, Fig. 2, 5",2,Найти в таблицах 1 и 2 все упомянутые методы оптимизации и сгруппировать их по категориям (адаптивные и неадаптивные). -task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-012,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-012,easy_control,False,A Survey of Advanced Gradient Methods in Machine Learning,arxiv:2412.04032,2024,figure,Fig. 1,1,"По схематичному рис. 1 перечислить ключевые этапы эволюции градиентных методов, затронутые в обзоре." -task3:598d6ea6b4:case-001,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-001,multimodal_hard,True,Superscattering emerging from the physics of bound states in the continuum,10.1038/s41467-023-40382-y,2023,figure_or_table,"p.6, Fig. 4",2,Извлеките информацию о super-dipole из картинки и понимает важность этого явления.. -task3:598d6ea6b4:case-002,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-002,multimodal_hard,True,Superscattering emerging from the physics of bound states in the continuum,10.1038/s41467-023-40382-y,2023,figure_or_table,"p.8, Fig.6",3,Извлеките информацию о дизайне системы из картинки и понимает техническую составляющую эффекта. -task3:598d6ea6b4:case-003,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-003,multimodal_hard,True,Superscattering emerging from the physics of bound states in the continuum,10.1038/s41467-023-40382-y,2023,figure_or_table,"p.9, Fig.7",2,Извлеките информацию об экспериментальном достижении superscattering и соответствующих параметрах. -task3:598d6ea6b4:case-008,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-008,temporal_hard,True,Experimental Observation of Superscattering,arXiv:1812.05599,2019,page,"p.1, p.2",2,"Сравните, какой вариант лучше понимает проблематику достижения данного эффекта и важность его нынешней реализации" -task3:598d6ea6b4:case-011,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-011,easy_control,False,Experimental Observation of Superscattering,arXiv:1812.05599,2019,page,p.1,1,"Оценить, распознала ли модель, что ранее данный эффект не наблюдался экспериментально" +task3:fred-westling__4e51465083:case-006,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-006,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.5, Fig.6",4,"Сравни три типа траекторий (handheld, mobile, aerial) на одном и том же orchard stand." +task3:fred-westling__4e51465083:case-007,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-007,multimodal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.6, Fig.7",4,"Сравни, как правильно определить occluded point (зелёная точка) на схеме сканирования с одной линией." +task3:fred-westling__4e51465083:case-008,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-008,temporal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure,"p.7, Fig 10",4,"Сравни, как изменяется визуальное качество и структура облака точек при увеличении уровня шума с 0 м до 0.1 м на одной и той же траектории Zeb1." +task3:fred-westling__4e51465083:case-009,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-009,temporal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,page,p.11,4,"Опиши последовательность: сначала тренировка модели на симулированных данных SimTreeLS, затем transfer learning на реальных LiDAR-сканах. Что меняется между этапами?" +task3:fred-westling__4e51465083:case-010,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-010,temporal_hard,True,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure,"p.9, Fig 13",4,Сравни occlusion profile при смене сенсора с single-beam на 9-beam на одной и той же mobile trajectory (рис. 13). Что произошло с количеством видимых (зелёных) точек? +task3:fred-westling__4e51465083:case-011,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-011,easy_control,False,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,table," p.8, table.2",4,Извлеки значение p-value из t-теста для V-measure (сегментация) в таблице 2. +task3:fred-westling__4e51465083:case-012,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,fred-westling__4e51465083,CASE-012,easy_control,False,SimTreeLS: Simulating aerial and terrestrial laser scans of trees,2011.11954,2021,figure," p.3, Fig.3",4,Какое минимальное расстояние между деревьями задаётся в forest layout (рис. 3)? +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-001,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-001,multimodal_hard,True,MARS: Unleashing the Power of Variance Reduction for Training Large Models,arxiv:2411.10438,2024,figure_or_table,"fig. 2, Tab. 1,",4,"Выявить, в какой из задач GPT-2 (Рис. 2) MARS дает наибольший относительный выигрыш в perplexity по сравнению с AdamW, и не перепутать его с табличными результатами ImageNet (Таб. 1)." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-002,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-002,multimodal_hard,True,"The AdEMAMix Optimizer: Better, Faster, Older",arxiv:2409.03137,2024,figure_or_table,"fig. 2, 3, 6, Tab. 2",4,"Найти на Рис. 6 сравнение AdEMAMix и AdamW по скорости забывания (forgetting) и определить, на каком количестве токенов преимущество становится явным." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-003,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-003,multimodal_hard,True,AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning,arxiv:2410.17881,2024,figure_or_table,"fig. 3, Tab. 2",4,"Сравнить значения точности и потребления памяти GPU для GPT-2 из Таблицы 2 при full fine-tuning, LoRA и AdaRankGrad." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-004,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-004,multimodal_hard,True,A Self-Attentive Meta-Optimizer with Group-Adaptive Learning Rates and Weight Decay,arxiv:2605.04055,2026,figure_or_table,"fig. 2, 3, Tab. 3, 4",4,"Определить по Рис. 3, на какой задаче (языковое моделирование, машинный перевод, классификация) MetaAdamW показывает максимальное и минимальное ускорение сходимости относительно AdamW." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-005,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-005,multimodal_hard,True,Adaptive Gradient Methods at the Edge of Stability,arxiv:2404.01864,2024,figure,"fig. 1, 3, 6, 7",4,"Проанализировать Рис. 7 (SGD vs. Adam на CIFAR-10) и описать, как меняется ландшафт потерь (loss landscape) в процессе обучения у Adam." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-006,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-006,multimodal_hard,True,Revisiting the Initial Steps in Adaptive Gradient Descent Optimization,arxiv:2412.00374,2024,figure,"fig. 1, 2, 3",4,"По Рис. 2 и 3 определить, как разная инициализация второго момента (data-driven vs random) в Adam влияет на стабильность потерь на ранних итерациях обучения Transformer." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-007,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-007,multimodal_hard,True,Adaptive Gradient Methods at the Edge of Stability,arxiv:2404.01714,2025,figure,"Fig. 1, 2, 3, 4, 5, 6, 7, 8",4,"Определить по совокупности рисунков 1–8, какие архитектуры и датасеты дают CG-like-Adam наибольшее преимущество перед Adam в точности и скорости сходимости" +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-008,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-008,temporal_hard,True,Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimization,,,figure_or_table,"Table 1, 2, Fig. 1",4,"По рис. 1 объяснить, как меняется масштаб параметров (parameter scaling) в процессе обучения нейронной сети и как это связано с адаптивностью градиентного метода." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-009,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-009,temporal_hard,True,Towards Simple and Provable Parameter-Free Adaptive Gradient Methods,arxiv:2412.19444,2024,figure,"Fig. 1, 2",4,"По рис. 1, 2 сравнить траектории нормы градиента у предложенных AdaGrad++ и Adam++ с их оригинальными версиями на задаче логистической регрессии и ResNet-18." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-010,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-010,temporal_hard,True,Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective,arxiv:2402.03496,2024,figure_or_table,"Tab. 1, Fig.1, 2",4,"В таблице 1 сравнить результаты AdamW и метода без квадратного корня (NoSqrt) на задаче LRA и объяснить, какая задача является исключением из общего правила." +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-011,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-011,easy_control,False,Optimization Methods in Deep Learning: A Comprehensive Overview,arxiv:2305.16432,2023,figure_or_table,"Tab. 1,2, Fig. 2, 5",4,Найти в таблицах 1 и 2 все упомянутые методы оптимизации и сгруппировать их по категориям (адаптивные и неадаптивные). +task3:vasin_artem_aleksandrovich__0cf7f9ceca:case-012,Adaptive gradient optimization methods for training LLM,vasin_artem_aleksandrovich__0cf7f9ceca,CASE-012,easy_control,False,A Survey of Advanced Gradient Methods in Machine Learning,arxiv:2412.04032,2024,figure,Fig. 1,4,"По схематичному рис. 1 перечислить ключевые этапы эволюции градиентных методов, затронутые в обзоре." +task3:598d6ea6b4:case-001,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-001,multimodal_hard,True,Superscattering emerging from the physics of bound states in the continuum,10.1038/s41467-023-40382-y,2023,figure_or_table,"p.6, Fig. 4",4,Извлеките информацию о super-dipole из картинки и понимает важность этого явления.. +task3:598d6ea6b4:case-002,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-002,multimodal_hard,True,Superscattering emerging from the physics of bound states in the continuum,10.1038/s41467-023-40382-y,2023,figure_or_table,"p.8, Fig.6",4,Извлеките информацию о дизайне системы из картинки и понимает техническую составляющую эффекта. +task3:598d6ea6b4:case-003,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-003,multimodal_hard,True,Superscattering emerging from the physics of bound states in the continuum,10.1038/s41467-023-40382-y,2023,figure_or_table,"p.9, Fig.7",4,Извлеките информацию об экспериментальном достижении superscattering и соответствующих параметрах. +task3:598d6ea6b4:case-008,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-008,temporal_hard,True,Experimental Observation of Superscattering,arXiv:1812.05599,2019,page,"p.1, p.2",4,"Сравните, какой вариант лучше понимает проблематику достижения данного эффекта и важность его нынешней реализации" +task3:598d6ea6b4:case-011,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-011,easy_control,False,Experimental Observation of Superscattering,arXiv:1812.05599,2019,page,p.1,4,"Оценить, распознала ли модель, что ранее данный эффект не наблюдался экспериментально" task3:598d6ea6b4:case-012,Optical Superscattering,рябков-евгении-юрьевич__598d6ea6b4,CASE-012,temporal_hard,True,Superscattering pattern shaping for radially anisotropic nanowires,arXiv:1704.07994,2017,figure_or_table,"p.2, Fig.1, p.5, Fig.5",4,"Сравните, распознают ли варианты то, что работа исключительно теоретическая и эффект экспериментально не наблюдался" -task3:168bdb55d7:case-001,composite impact modeling,Мстислав-Кудряшов-Александрович__168bdb55d7,CASE-001,multimodal_hard,True,Fatigue Failure Criteria for Unidirectional Fiber Composites,https://doi.org/10.1115/1.3157744,1981,formula,"p.4 formula 18; p5 formula 20,22",2,"сравните, какой вариант корректно определяет формулы в работе. Особенно интерес представляет корректность формул с критериями разрушения" -task3:ca35bd9ad6:case-001,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-001,multimodal_hard,True,Development and Space-Qualification of a Miniaturized CubeSat’s 2-W EDFA for Space Laser Communications,10.3390/electronics11152468,2022,figure,"p.3, Fig. 1",2,"Сравните, какая модель лучше распознает пространственное расположение волоконного усилителя на 3D-модели EDFA и точно извлекает габариты из подписи." -task3:ca35bd9ad6:case-002,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-002,multimodal_hard,True,Development and Space-Qualification of a Miniaturized CubeSat’s 2-W EDFA for Space Laser Communications,10.3390/electronics11152468,2022,figure_or_table,"p.12, Fig. 10",2,"Оцените, какая модель точнее извлекает значения коэффициента усиления в зависимости от входной мощности по графику, не путая между собой кривые для разных температур." -task3:ca35bd9ad6:case-003,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-003,temporal_hard,True,Development and Space-Qualification of a Miniaturized CubeSat’s 2-W EDFA for Space Laser Communications,10.3390/electronics11152468,2022,mixed,"p.15, Fig. 14",0,"Проверьте, какая модель корректно связывает просадки оптической мощности с конкретными временными фазами температурного цикла (нагрев/охлаждение) на графике испытаний TVAC." -task3:ca35bd9ad6:case-004,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-004,multimodal_hard,True,Payload Configuration Integration and Testing of the DeMi CubeSat,SSC18-XI-02,2018,figure,"p.4, Fig. 3",2,"Сравните, какая модель корректно прослеживает оптический путь луча от калибровочного лазерного диода до Shack-Hartmann датчика (SHWFS), не смешивая его с путем света от внешней апертуры." +task3:168bdb55d7:case-001,composite impact modeling,Мстислав-Кудряшов-Александрович__168bdb55d7,CASE-001,multimodal_hard,True,Fatigue Failure Criteria for Unidirectional Fiber Composites,https://doi.org/10.1115/1.3157744,1981,formula,"p.4 formula 18; p5 formula 20,22",4,"сравните, какой вариант корректно определяет формулы в работе. Особенно интерес представляет корректность формул с критериями разрушения" +task3:ca35bd9ad6:case-001,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-001,multimodal_hard,True,Development and Space-Qualification of a Miniaturized CubeSat’s 2-W EDFA for Space Laser Communications,10.3390/electronics11152468,2022,figure,"p.3, Fig. 1",4,"Сравните, какая модель лучше распознает пространственное расположение волоконного усилителя на 3D-модели EDFA и точно извлекает габариты из подписи." +task3:ca35bd9ad6:case-002,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-002,multimodal_hard,True,Development and Space-Qualification of a Miniaturized CubeSat’s 2-W EDFA for Space Laser Communications,10.3390/electronics11152468,2022,figure_or_table,"p.12, Fig. 10",4,"Оцените, какая модель точнее извлекает значения коэффициента усиления в зависимости от входной мощности по графику, не путая между собой кривые для разных температур." +task3:ca35bd9ad6:case-003,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-003,temporal_hard,True,Development and Space-Qualification of a Miniaturized CubeSat’s 2-W EDFA for Space Laser Communications,10.3390/electronics11152468,2022,mixed,"p.15, Fig. 14",4,"Проверьте, какая модель корректно связывает просадки оптической мощности с конкретными временными фазами температурного цикла (нагрев/охлаждение) на графике испытаний TVAC." +task3:ca35bd9ad6:case-004,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-004,multimodal_hard,True,Payload Configuration Integration and Testing of the DeMi CubeSat,SSC18-XI-02,2018,figure,"p.4, Fig. 3",4,"Сравните, какая модель корректно прослеживает оптический путь луча от калибровочного лазерного диода до Shack-Hartmann датчика (SHWFS), не смешивая его с путем света от внешней апертуры." task3:ca35bd9ad6:case-005,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-005,multimodal_hard,True,Payload Configuration Integration and Testing of the DeMi CubeSat,SSC18-XI-02,2018,figure,"p.5, Fig. 5",4,"Определите, какая модель может визуально идентифицировать геометрию сетки актуаторов MEMS-зеркала, верно связав её с физическим шагом (pitch) между актуаторами из подписи." -task3:ca35bd9ad6:case-006,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-006,easy_control,True,Payload Configuration Integration and Testing of the DeMi CubeSat,SSC18-XI-02,2018,page,"p.2, Text section",1,"Проверьте, корректно ли модель извлекает требования к точности измерения волнового фронта (12 нм) из обычного абзаца текста (Payload Requirements)." -task3:ca35bd9ad6:case-007,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-007,multimodal_hard,True,Optical Communications Crosslink Payload Prototype Development for the Cubesat Laser Infrared CrosslinK (CLICK) Mission,SSC19-VI-02,2019,table,"p.8, Table 4",1,"Какая модель точнее извлекает значения бюджета канала для кросс-линка на дистанции 580 км, корректно обрабатывая структуру таблицы и не путая колонки с потерями (pointing loss) и запасом (link margin)?" -task3:ca35bd9ad6:case-008,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-008,multimodal_hard,True,Optical Communications Crosslink Payload Prototype Development for the Cubesat Laser Infrared CrosslinK (CLICK) Mission,SSC19-VI-02,2019,figure,"p.6, Fig. 6",2,"Оцените, какая модель верно распознает способ разделения передающего и принимающего путей на оптической схеме трансивера (напр. использование дихроичных зеркал для длин волн 1537 нм и 1563 нм)" -task3:ca35bd9ad6:case-009,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-009,temporal_hard,True,Optical Communications Crosslink Payload Prototype Development for the Cubesat Laser Infrared CrosslinK (CLICK) Mission,SSC19-VI-02,2019,figure,"p.10, Fig. 11",2,"Проверьте, какая модель точнее описывает процесс схождения (convergence) ошибки наведения во времени, корректно определяя временной интервал до стабилизации (settling time) в замкнутом цикле." -task3:ca35bd9ad6:case-010,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-010,multimodal_hard,True,OSIRIS4CubeSat—The World’s Smallest Commercially Available Laser Communication Terminal,10.3390/aerospace12080655,2025,figure_or_table,"p.5, Fig. 2",3,"Сравните, какая модель правильно соотносит цветные лучи (Tx и Rx пути) с их описанием в подписи и безошибочно локализует позицию FSM (Fast Steering Mirror) в плоскости оптического зрачка." -task3:ca35bd9ad6:case-011,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-011,temporal_hard,False,OSIRIS4CubeSat—The World’s Smallest Commercially Available Laser Communication Terminal,10.3390/aerospace12080655,2025,mixed,"p.8, Fig. 6",3,Какая модель лучше выводит логическую связь между паразитной индуктивностью (LTRACE) схемы и её влиянием на временные характеристики (скорость нарастания импульса/задержку) при высокой скорости модуляции диода? -task3:ca35bd9ad6:case-012,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-012,easy_control,False,OSIRIS4CubeSat—The World’s Smallest Commercially Available Laser Communication Terminal,10.3390/aerospace12080655,2025,page,"p.7, Text section",1,"Оцените, способна ли модель извлечь базовое описание процедуры лабораторной характеризации чувствительности приемника из текста до его интеграции." -task3:998d6715e8:case-001,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-001,multimodal_hard,True,UI-TARS: Pioneering Automated GUI Interaction with Native Agents,arXiv:2501.12326,2025,figure,"p. 27, Figure 8",1,"Сравните, какой вариант точнее извлекает численные значения с bar chart AndroidWorld в Figure 8: scores для моделей UI-TARS-7B и UI-TARS-72B в режимах System-1 и System-2 при Bo1. Оцените, не галлюцинирует ли вариант числа и корректно ли привязывает каждое значение к соответствующей модели и режиму" -task3:998d6715e8:case-002,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-002,multimodal_hard,True,CogAgent: A Visual Language Model for GUI Agents,arXiv:2312.08914,2023,figure,"p.8, Figure 3",2,"Сравните, какой вариант точнее извлекает из Figure 3 численные значения TFLOPs для архитектуры с cross-module при всех четырёх разрешениях (224, 490, 756, 1120), и насколько корректно оценивает реальную степень линейности этой зависимости." -task3:998d6715e8:case-003,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-003,multimodal_hard,True,SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents,arXiv:2401.10935,2024,table,"p. 9317, Table 1",1,"Сравните, какой вариант точнее извлекает, Опираясь на Table 1, точные численные значения точности (в процентах) для моделей SeeClick и CogAgent строго в категории «Mobile Icon/Widget», а также их размеры (Model Size) в миллиардах параметров." -task3:998d6715e8:case-004,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-004,multimodal_hard,True,Vision-driven Automated Mobile GUI Testing via Multimodal Large Language Model,arXiv:2407.03037,2024,table,"p. 9, Table I",1,"Сравните, какой вариант точнее извлекает, используя Table I, значения Precision (P) и Recall (R) для метода Odin строго на датасете «Bug injection data» . Также приведите соответствующие значения P и R для VisionDroid на этом же датасете и укажите абсолютную разницу между ними" -task3:998d6715e8:case-005,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-005,multimodal_hard,True,VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps,arXiv:2504.11675,2025,mixed,"p.18, Fig. 9",1,"Сравните, какой вариант точнее извлекает из встроенной таблицы на Fig. 9 точное значение p-value для сравнения Line coverage между методами VLM-Fuzz и DeepGUI." -task3:998d6715e8:case-006,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-006,multimodal_hard,True,AppAgent: Multimodal Agents as Smartphone Users,arXiv:2312.13771,2023,table,"p.7, Table 1",1,"Сравните, какой вариант точнее извлекает значения метрик Success Rate (SR) и Reward для метода ""GPT4 (Baseline)"" с конфигурациями Action Space ""Raw"" и ""Ours"", а также для ""AppAgent"" с ""Manually Crafted"" документами, опираясь строго на Table 1." -task3:998d6715e8:case-007,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-007,multimodal_hard,True,VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance,arXiv:2505.15952,2025,table,"p.5, Table 2",1,"Сравните, какой вариант точнее извлекает на основе Table 2 значения Accuracy для моделей o4-mini и Llama-4-Scout строго в задаче Video-based glitch detection (VGD)." -task3:998d6715e8:case-008,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-008,multimodal_hard,True,A Survey on (M)LLM-Based GUI Agents,arXiv:2504.13865,2025,table,"p. 17, Table 1",2,"Сравните, какой вариант точнее извлекает, опираясь на Table 1, все датасеты для платформы ""web"", которые поддерживают диалоговые задачи (в столбце Dialogue стоит галочка)." -task3:998d6715e8:case-009,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-009,temporal_hard,True,Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs,arXiv:2509.23166,2025,figure,"p. 28, Figure 6",2,"Сравните, какой вариант точнее определяет из Figure 6 для датасета MATH500 момент пересечения кривых ROSA и Baseline во времени и правильно описывает, какой метод лидирует ДО и ПОСЛЕ этого момента." -task3:998d6715e8:case-010,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-010,temporal_hard,True,A Survey on Web Testing: On the Rise of AI and Applications in Industry,arXiv:2503.05378,2025,figure_or_table,"p.38, Fig.3",1,"Сравните, какой вариант точнее определяет из Figure 3 временную динамику публикаций по SBST/AI-методам: год перелома тренда, соотношение публикаций до и после этого года, а также аномальные годы с локальным спадом или искажением. Оцените, какой вариант избегает галлюцинации тренда и опирается именно на визуальные данные" -task3:998d6715e8:case-011,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-011,easy_control,False,LLM-Guided Scenario-based GUI Testing,arXiv:2506.05079,2025,page,"p. 24, Section 5 ""Threats to Validity""",0,"На основании раздела ""Threats to Validity"" перечислите 3 основные угрозы валидности (ограничения), которые сами авторы выделяют в своей работе." -task3:998d6715e8:case-012,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-012,easy_control,False,Usable AI: Critical Review of Its Current Issues and Trends,doi:10.3844/jcssp.2023.326.333,2023,page,"p. 330, Section ""Usability Challenges of AI Applications""",0,"На основании раздела «Usability Challenges of AI Applications» перечислите основные проблемы (challenges) разработки ориентированного на человека ИИ (HAI), о которых пишут авторы." -task3:5c4536453d:case-001,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-001,temporal_hard,True,Decoupling polarization and coercive field in AlScN/AlN/AlScN stack for enhanced performance in ferroelectric thin-film transistors,10.1038/s41467-025-62904-6,2025,figure,Fig.4e,0,"Сравнить, какой вариант лучше понимает, какая кривая соответствует подходящему к работе в ключевом режиме напряжению." -task3:5c4536453d:case-002,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-002,multimodal_hard,True,Scalable CMOS back-end-of-line-compatible AlScN/two-dimensional channel ferroelectric field-effect transistors,10.1038/s41565-023-01399-y,2023,figure,Fig.1c,0,"Определить, результаты какого ещё метода исследования есть на the figure." -task3:5c4536453d:case-003,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-003,multimodal_hard,True,Scalable CMOS back-end-of-line-compatible AlScN/two-dimensional channel ferroelectric field-effect transistors,10.1038/s41565-023-01399-y,2023,figure,Fig.1c,0,"Определить по картинке, имеются ли в составе структуры кристаллиты." -task3:5c4536453d:case-004,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-004,multimodal_hard,True,"Origins of High Mobility and Low Operation Voltage of Amorphous Oxide TFTs: Electronic Structure, Electron Transport, Defects and Doping",10.1109/JDT.2009.2034559,2009,figure,Fig.23b,0,"Какой вариант верно напишет, проводимость транзистора после отжига в азотной среде." -task3:5c4536453d:case-005,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-005,multimodal_hard,True,"Origins of High Mobility and Low Operation Voltage of Amorphous Oxide TFTs: Electronic Structure, Electron Transport, Defects and Doping",10.1109/JDT.2009.2034559,2009,figure,Fig.26b,0,Оценить ширину гистерезиса для отожжённого и неотожжённого образцов. -task3:5c4536453d:case-006,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-006,multimodal_hard,True,Impact of Ferroelectric Layer Thickness on Reliability of Back-End-of-Line-Compatible Hafnium Zirconium Oxide Films,10.1002/adem.202201124,2022,figure,Fig.2,2,"Определить, в какой из плёнок содержится моноклинная фаза." -task3:91f2284dbc:case-001,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-001,multimodal_hard,True,Dynamics of Postmortem Gene Expression in Normal and Neoplastic Murine Liver,doi: 10.3390/life16040683,2026,figure_or_table,Fig.4,1,Извлеките численные данные из рисунка 4 и сопоставляет их динамику во времени.. -task3:91f2284dbc:case-002,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-002,temporal_hard,True,"Postmortem Stability Analysis of Lipids and Polar Metabolites in Human, Rat, and Mouse Brains",doi: 10.3390/biom15091288,2025,figure_or_table,"Fig.2A,B",0,"Извлеките из рисунка 2 A,B данные principal component analysis (PCA) и сопоставляет их с временной динамикой." -task3:91f2284dbc:case-003,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-003,multimodal_hard,True,"Postmortem Stability Analysis of Lipids and Polar Metabolites in Human, Rat, and Mouse Brains",doi: 10.3390/biom15091288,2025,figure_or_table,Fig.3,1,Извлеките из рисунка 3 данные о стабильности соединений. -task3:91f2284dbc:case-004,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-004,multimodal_hard,True,"Postmortem Stability Analysis of Lipids and Polar Metabolites in Human, Rat, and Mouse Brains",doi: 10.3390/biom15091288,2025,figure_or_table,Fig.4A,0,Извлеките из рисунка 4A качественные (не числовые) данные. -task3:91f2284dbc:case-005,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-005,multimodal_hard,True,Systematic analysis of gene expression patterns associated with postmortem interval in human tissues,doi: s41598-017-05882-0,2017,figure_or_table,Table 2,0,Извлеките из таблицы 2 категориальные данные. +task3:ca35bd9ad6:case-006,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-006,easy_control,True,Payload Configuration Integration and Testing of the DeMi CubeSat,SSC18-XI-02,2018,page,"p.2, Text section",4,"Проверьте, корректно ли модель извлекает требования к точности измерения волнового фронта (12 нм) из обычного абзаца текста (Payload Requirements)." +task3:ca35bd9ad6:case-007,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-007,multimodal_hard,True,Optical Communications Crosslink Payload Prototype Development for the Cubesat Laser Infrared CrosslinK (CLICK) Mission,SSC19-VI-02,2019,table,"p.8, Table 4",4,"Какая модель точнее извлекает значения бюджета канала для кросс-линка на дистанции 580 км, корректно обрабатывая структуру таблицы и не путая колонки с потерями (pointing loss) и запасом (link margin)?" +task3:ca35bd9ad6:case-008,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-008,multimodal_hard,True,Optical Communications Crosslink Payload Prototype Development for the Cubesat Laser Infrared CrosslinK (CLICK) Mission,SSC19-VI-02,2019,figure,"p.6, Fig. 6",4,"Оцените, какая модель верно распознает способ разделения передающего и принимающего путей на оптической схеме трансивера (напр. использование дихроичных зеркал для длин волн 1537 нм и 1563 нм)" +task3:ca35bd9ad6:case-009,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-009,temporal_hard,True,Optical Communications Crosslink Payload Prototype Development for the Cubesat Laser Infrared CrosslinK (CLICK) Mission,SSC19-VI-02,2019,figure,"p.10, Fig. 11",4,"Проверьте, какая модель точнее описывает процесс схождения (convergence) ошибки наведения во времени, корректно определяя временной интервал до стабилизации (settling time) в замкнутом цикле." +task3:ca35bd9ad6:case-010,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-010,multimodal_hard,True,OSIRIS4CubeSat—The World’s Smallest Commercially Available Laser Communication Terminal,10.3390/aerospace12080655,2025,figure_or_table,"p.5, Fig. 2",4,"Сравните, какая модель правильно соотносит цветные лучи (Tx и Rx пути) с их описанием в подписи и безошибочно локализует позицию FSM (Fast Steering Mirror) в плоскости оптического зрачка." +task3:ca35bd9ad6:case-011,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-011,temporal_hard,False,OSIRIS4CubeSat—The World’s Smallest Commercially Available Laser Communication Terminal,10.3390/aerospace12080655,2025,mixed,"p.8, Fig. 6",4,Какая модель лучше выводит логическую связь между паразитной индуктивностью (LTRACE) схемы и её влиянием на временные характеристики (скорость нарастания импульса/задержку) при высокой скорости модуляции диода? +task3:ca35bd9ad6:case-012,Optimization of compact optical folded schemes based on off-axis parabolic mirrors for 10G inter-satellite CubeSat communication terminals,иван-колесников-витальевич__ca35bd9ad6,CASE-012,easy_control,False,OSIRIS4CubeSat—The World’s Smallest Commercially Available Laser Communication Terminal,10.3390/aerospace12080655,2025,page,"p.7, Text section",4,"Оцените, способна ли модель извлечь базовое описание процедуры лабораторной характеризации чувствительности приемника из текста до его интеграции." +task3:998d6715e8:case-001,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-001,multimodal_hard,True,UI-TARS: Pioneering Automated GUI Interaction with Native Agents,arXiv:2501.12326,2025,figure,"p. 27, Figure 8",4,"Сравните, какой вариант точнее извлекает численные значения с bar chart AndroidWorld в Figure 8: scores для моделей UI-TARS-7B и UI-TARS-72B в режимах System-1 и System-2 при Bo1. Оцените, не галлюцинирует ли вариант числа и корректно ли привязывает каждое значение к соответствующей модели и режиму" +task3:998d6715e8:case-002,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-002,multimodal_hard,True,CogAgent: A Visual Language Model for GUI Agents,arXiv:2312.08914,2023,figure,"p.8, Figure 3",4,"Сравните, какой вариант точнее извлекает из Figure 3 численные значения TFLOPs для архитектуры с cross-module при всех четырёх разрешениях (224, 490, 756, 1120), и насколько корректно оценивает реальную степень линейности этой зависимости." +task3:998d6715e8:case-003,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-003,multimodal_hard,True,SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents,arXiv:2401.10935,2024,table,"p. 9317, Table 1",4,"Сравните, какой вариант точнее извлекает, Опираясь на Table 1, точные численные значения точности (в процентах) для моделей SeeClick и CogAgent строго в категории «Mobile Icon/Widget», а также их размеры (Model Size) в миллиардах параметров." +task3:998d6715e8:case-004,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-004,multimodal_hard,True,Vision-driven Automated Mobile GUI Testing via Multimodal Large Language Model,arXiv:2407.03037,2024,table,"p. 9, Table I",4,"Сравните, какой вариант точнее извлекает, используя Table I, значения Precision (P) и Recall (R) для метода Odin строго на датасете «Bug injection data» . Также приведите соответствующие значения P и R для VisionDroid на этом же датасете и укажите абсолютную разницу между ними" +task3:998d6715e8:case-005,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-005,multimodal_hard,True,VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps,arXiv:2504.11675,2025,mixed,"p.18, Fig. 9",4,"Сравните, какой вариант точнее извлекает из встроенной таблицы на Fig. 9 точное значение p-value для сравнения Line coverage между методами VLM-Fuzz и DeepGUI." +task3:998d6715e8:case-006,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-006,multimodal_hard,True,AppAgent: Multimodal Agents as Smartphone Users,arXiv:2312.13771,2023,table,"p.7, Table 1",4,"Сравните, какой вариант точнее извлекает значения метрик Success Rate (SR) и Reward для метода ""GPT4 (Baseline)"" с конфигурациями Action Space ""Raw"" и ""Ours"", а также для ""AppAgent"" с ""Manually Crafted"" документами, опираясь строго на Table 1." +task3:998d6715e8:case-007,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-007,multimodal_hard,True,VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance,arXiv:2505.15952,2025,table,"p.5, Table 2",4,"Сравните, какой вариант точнее извлекает на основе Table 2 значения Accuracy для моделей o4-mini и Llama-4-Scout строго в задаче Video-based glitch detection (VGD)." +task3:998d6715e8:case-008,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-008,multimodal_hard,True,A Survey on (M)LLM-Based GUI Agents,arXiv:2504.13865,2025,table,"p. 17, Table 1",4,"Сравните, какой вариант точнее извлекает, опираясь на Table 1, все датасеты для платформы ""web"", которые поддерживают диалоговые задачи (в столбце Dialogue стоит галочка)." +task3:998d6715e8:case-009,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-009,temporal_hard,True,Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs,arXiv:2509.23166,2025,figure,"p. 28, Figure 6",4,"Сравните, какой вариант точнее определяет из Figure 6 для датасета MATH500 момент пересечения кривых ROSA и Baseline во времени и правильно описывает, какой метод лидирует ДО и ПОСЛЕ этого момента." +task3:998d6715e8:case-010,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-010,temporal_hard,True,A Survey on Web Testing: On the Rise of AI and Applications in Industry,arXiv:2503.05378,2025,figure_or_table,"p.38, Fig.3",4,"Сравните, какой вариант точнее определяет из Figure 3 временную динамику публикаций по SBST/AI-методам: год перелома тренда, соотношение публикаций до и после этого года, а также аномальные годы с локальным спадом или искажением. Оцените, какой вариант избегает галлюцинации тренда и опирается именно на визуальные данные" +task3:998d6715e8:case-011,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-011,easy_control,False,LLM-Guided Scenario-based GUI Testing,arXiv:2506.05079,2025,page,"p. 24, Section 5 ""Threats to Validity""",4,"На основании раздела ""Threats to Validity"" перечислите 3 основные угрозы валидности (ограничения), которые сами авторы выделяют в своей работе." +task3:998d6715e8:case-012,Vision-Language Models for GUI agents and automated UI testing,михаил-кузнецов-александрович__998d6715e8,CASE-012,easy_control,False,Usable AI: Critical Review of Its Current Issues and Trends,doi:10.3844/jcssp.2023.326.333,2023,page,"p. 330, Section ""Usability Challenges of AI Applications""",4,"На основании раздела «Usability Challenges of AI Applications» перечислите основные проблемы (challenges) разработки ориентированного на человека ИИ (HAI), о которых пишут авторы." +task3:5c4536453d:case-001,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-001,temporal_hard,True,Decoupling polarization and coercive field in AlScN/AlN/AlScN stack for enhanced performance in ferroelectric thin-film transistors,10.1038/s41467-025-62904-6,2025,figure,Fig.4e,4,"Сравнить, какой вариант лучше понимает, какая кривая соответствует подходящему к работе в ключевом режиме напряжению." +task3:5c4536453d:case-002,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-002,multimodal_hard,True,Scalable CMOS back-end-of-line-compatible AlScN/two-dimensional channel ferroelectric field-effect transistors,10.1038/s41565-023-01399-y,2023,figure,Fig.1c,4,"Определить, результаты какого ещё метода исследования есть на the figure." +task3:5c4536453d:case-003,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-003,multimodal_hard,True,Scalable CMOS back-end-of-line-compatible AlScN/two-dimensional channel ferroelectric field-effect transistors,10.1038/s41565-023-01399-y,2023,figure,Fig.1c,4,"Определить по картинке, имеются ли в составе структуры кристаллиты." +task3:5c4536453d:case-004,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-004,multimodal_hard,True,"Origins of High Mobility and Low Operation Voltage of Amorphous Oxide TFTs: Electronic Structure, Electron Transport, Defects and Doping",10.1109/JDT.2009.2034559,2009,figure,Fig.23b,4,"Какой вариант верно напишет, проводимость транзистора после отжига в азотной среде." +task3:5c4536453d:case-005,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-005,multimodal_hard,True,"Origins of High Mobility and Low Operation Voltage of Amorphous Oxide TFTs: Electronic Structure, Electron Transport, Defects and Doping",10.1109/JDT.2009.2034559,2009,figure,Fig.26b,4,Оценить ширину гистерезиса для отожжённого и неотожжённого образцов. +task3:5c4536453d:case-006,Ferroelectric transistor parameters interpretation,парочкин-андреи-витальевич__5c4536453d,CASE-006,multimodal_hard,True,Impact of Ferroelectric Layer Thickness on Reliability of Back-End-of-Line-Compatible Hafnium Zirconium Oxide Films,10.1002/adem.202201124,2022,figure,Fig.2,4,"Определить, в какой из плёнок содержится моноклинная фаза." +task3:91f2284dbc:case-001,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-001,multimodal_hard,True,Dynamics of Postmortem Gene Expression in Normal and Neoplastic Murine Liver,doi: 10.3390/life16040683,2026,figure_or_table,Fig.4,4,Извлеките численные данные из рисунка 4 и сопоставляет их динамику во времени.. +task3:91f2284dbc:case-002,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-002,temporal_hard,True,"Postmortem Stability Analysis of Lipids and Polar Metabolites in Human, Rat, and Mouse Brains",doi: 10.3390/biom15091288,2025,figure_or_table,"Fig.2A,B",4,"Извлеките из рисунка 2 A,B данные principal component analysis (PCA) и сопоставляет их с временной динамикой." +task3:91f2284dbc:case-003,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-003,multimodal_hard,True,"Postmortem Stability Analysis of Lipids and Polar Metabolites in Human, Rat, and Mouse Brains",doi: 10.3390/biom15091288,2025,figure_or_table,Fig.3,4,Извлеките из рисунка 3 данные о стабильности соединений. +task3:91f2284dbc:case-004,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-004,multimodal_hard,True,"Postmortem Stability Analysis of Lipids and Polar Metabolites in Human, Rat, and Mouse Brains",doi: 10.3390/biom15091288,2025,figure_or_table,Fig.4A,4,Извлеките из рисунка 4A качественные (не числовые) данные. +task3:91f2284dbc:case-005,Посмертные изменения в биомолекулах,парочкина-екатерина-владимировна__91f2284dbc,CASE-005,multimodal_hard,True,Systematic analysis of gene expression patterns associated with postmortem interval in human tissues,doi: s41598-017-05882-0,2017,figure_or_table,Table 2,4,Извлеките из таблицы 2 категориальные данные. task3:0987c43afc:case-001,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-001,multimodal_hard,True,Deep learning methods for 2D material electronic properties,10.1039/D5DD00155B,2026,table,"p.5-6, Table 1",4,"Сравните, какая из двух моделей точнее извлекает из таблицы 1 для каждой базы данных (C2DB, MC2D, 2DmatPedia, Materials Project, JARVIS-DFT) информацию о типе данных (структура / электронные свойства / фононы), доступности API и основных ссылках. Выделите только те базы, которые содержат электронные зонные структуры." task3:0987c43afc:case-002,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-002,multimodal_hard,True,Deep learning methods for 2D material electronic properties,10.1039/D5DD00155B,2026,figure,"p.7, Fig. 1",4,"На рисунке 1 показаны пять архитектур (PLMF, CGCNN, ALIGNN, MEGNet, SLICES). Для каждой из них определите: - используется ли графовое представление; - есть ли в явном виде обработка углов связей (bond angles); - является ли представление строковым (string‑based). Результат оформите в виде таблицы из трёх колонок." -task3:0987c43afc:case-003,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-003,multimodal_hard,True,Deep learning methods for 2D material electronic properties,10.1039/D5DD00155B,2026,table,"p. 13-14, Table 3",0,"Найдите в таблице 3 все методы, которые используют трансформеры (transformer) или авторегрессию (autoregressive). Для каждого такого метода выпишите название модели или работы, тип представления структуры, точность (MAE для band centers или band gaps). Игнорируйте методы на основе CNN или RBM, если они явно не упоминают внимание/трансформер." -task3:0987c43afc:case-004,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-004,multimodal_hard,True,Deep learning methods for 2D material electronic properties,10.1039/D5DD00155B,2026,table,"p.16, Table 4",0,"В таблице 4 перечислены модели для межатомных потенциалов. Отберите те модели, которые явно используют E(3)-equivariant convolutions или equivariant message passing. Для каждой из них укажите название модели, тип архитектуры (Graph NN, Equivariant representations), целевые материалы (2D, 3D, molecular). Если модель не помечена как equivariant, но в описании говорится о «rotational invariance», – не включайте." -task3:0987c43afc:case-005,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-005,temporal_hard,True,Deep learning methods for 2D material electronic properties,10.1039/D5DD00155B,2026,page,p.28-29,0,"В разделе 5 авторы перечисляют ключевые вызовы и будущие направления. Найдите в тексте упоминания следующих концепций: - uncertainty quantification; - interpretability / explainable AI (XAI); - foundation models; - autonomous labs (self‑driving laboratories). Для каждого из них выпишите одну цитату (одно предложение), в которой описывается проблема или предложение. Затем оцените, насколько полно каждая модель (baseline vs tuned) воспроизводит эти цитаты без изменения смысла." -task3:0987c43afc:case-006,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-006,temporal_hard,True,Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State,arXiv:2603.14515,2026,figure,"p.1, Fig.1",2,По логарифмическому графику определите показатель степени для Excited Pfaffians. Сравните с наклонами кривых NES и Szabó et al. -task3:0987c43afc:case-007,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-007,multimodal_hard,True,Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State,arXiv:2603.14515,2026,figure,"p.5, Fig.3",2,"Для Excited Pfaffian (панель a) назовите, какие компоненты общие для всех состояний, а какие — state‑specific." -task3:0987c43afc:case-008,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-008,multimodal_hard,True,Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State,arXiv:2603.14515,2026,figure,"p.6, Fig.4",2,"Найдите атом, для которого все 10 состояний находятся в пределах химической точности (1.6 mHa) от эксперимента. Для него выпишите погрешность самого высокого уровня." +task3:0987c43afc:case-003,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-003,multimodal_hard,True,Deep learning methods for 2D material electronic properties,10.1039/D5DD00155B,2026,table,"p. 13-14, Table 3",4,"Найдите в таблице 3 все методы, которые используют трансформеры (transformer) или авторегрессию (autoregressive). Для каждого такого метода выпишите название модели или работы, тип представления структуры, точность (MAE для band centers или band gaps). Игнорируйте методы на основе CNN или RBM, если они явно не упоминают внимание/трансформер." +task3:0987c43afc:case-004,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-004,multimodal_hard,True,Deep learning methods for 2D material electronic properties,10.1039/D5DD00155B,2026,table,"p.16, Table 4",4,"В таблице 4 перечислены модели для межатомных потенциалов. Отберите те модели, которые явно используют E(3)-equivariant convolutions или equivariant message passing. Для каждой из них укажите название модели, тип архитектуры (Graph NN, Equivariant representations), целевые материалы (2D, 3D, molecular). Если модель не помечена как equivariant, но в описании говорится о «rotational invariance», – не включайте." +task3:0987c43afc:case-005,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-005,temporal_hard,True,Deep learning methods for 2D material electronic properties,10.1039/D5DD00155B,2026,page,p.28-29,4,"В разделе 5 авторы перечисляют ключевые вызовы и будущие направления. Найдите в тексте упоминания следующих концепций: - uncertainty quantification; - interpretability / explainable AI (XAI); - foundation models; - autonomous labs (self‑driving laboratories). Для каждого из них выпишите одну цитату (одно предложение), в которой описывается проблема или предложение. Затем оцените, насколько полно каждая модель (baseline vs tuned) воспроизводит эти цитаты без изменения смысла." +task3:0987c43afc:case-006,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-006,temporal_hard,True,Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State,arXiv:2603.14515,2026,figure,"p.1, Fig.1",4,По логарифмическому графику определите показатель степени для Excited Pfaffians. Сравните с наклонами кривых NES и Szabó et al. +task3:0987c43afc:case-007,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-007,multimodal_hard,True,Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State,arXiv:2603.14515,2026,figure,"p.5, Fig.3",4,"Для Excited Pfaffian (панель a) назовите, какие компоненты общие для всех состояний, а какие — state‑specific." +task3:0987c43afc:case-008,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-008,multimodal_hard,True,Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State,arXiv:2603.14515,2026,figure,"p.6, Fig.4",4,"Найдите атом, для которого все 10 состояний находятся в пределах химической точности (1.6 mHa) от эксперимента. Для него выпишите погрешность самого высокого уровня." task3:0987c43afc:case-009,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-009,temporal_hard,True,Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State,arXiv:2603.14515,2026,figure,"p.7, Fig.5",4,"В районе 1.6Å происходит обмен двух синглетных состояний. Назовите оба состояния и укажите, какой метод (Excited Pfaffian или Schätzle) сохраняет больше состояний на больших расстояниях." -task3:0987c43afc:case-010,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-010,multimodal_hard,True,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,figure,"p.2, Fig. 1d",1,"На панели d рисунка 1 показано, как переносимая волновая функция использует среднее поле (mean‑field) для начальных орбиталей. Определите, какие компоненты остаются «замороженными», а какие обучаются нейросетью. Объясните, почему такой подход ускоряет обучение для новых систем." -task3:0987c43afc:case-011,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-011,temporal_hard,False,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,page,"стр. 2, последний абзац введения",1,"В тексте упоминается, что DeepSolid потребовал 80 000 GPU‑часов для одного расчёта. Найдите, во сколько раз меньше времени потребовал предложенный метод при переносе с 32‑электронной на 108‑электронную систему LiH. Какой коэффициент ускорения назван в статье?" -task3:0987c43afc:case-012,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-012,multimodal_hard,False,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,figure,"p.3, Fig. 2a",1,"На рисунке 2a показано сравнение энергий на атом для водородной цепи. Найдите метод, который даёт самую низкую энергию (наиболее точную). Укажите, какое значение (в mHa) получено предложенным методом при экстраполяции к термодинамическому пределу с использованием TABC." -task3:0987c43afc:case-013,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-013,temporal_hard,True,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,figure,"p.3, Fig. 2b",1,"На рисунке 2b показана комплексная поляризация как функция межатомного расстояния. Авторы утверждают, что наблюдают металл‑изоляторный переход. В каком диапазоне R (в единицах a₀) происходит переход согласно их данным? Чем их оценка критического расстояния отличается от оценки Motta et al.?" -task3:0987c43afc:case-014,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-014,multimodal_hard,True,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,table,"p.4, Table 1",2,"В таблице 1 сравниваются полные энергии графена для трёх твистов. Для твиста k2 (вес 2/3) найдите энергию, полученную DeepSolid, и энергию, полученную авторами. Вычислите разницу в mH." -task3:0987c43afc:case-015,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-015,temporal_hard,True,V2Rho‑FNO: Fourier Neural Operator for Electronic Density Prediction,arXiv:2603.15669,2026,page,"p. 7–9, 2.1 (a, b, c)",0,"Авторы описывают три сценария с возрастающей сложностью: интерполяция внутри MD‑траектории, случайное разделение QM9, экстраполяция на фторсодержащие молекулы. Для третьего сценария укажите, какие элементы отсутствовали в тренировочном наборе. Как меняется ошибка предсказания при переходе от первого сценария к третьему?" -task3:0987c43afc:case-016,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-016,multimodal_hard,True,V2Rho‑FNO: Fourier Neural Operator for Electronic Density Prediction,arXiv:2603.15669,2026,figure,"p. 10, Fig. 3",2,"На рисунке 3 показано сравнение предсказанной электронной плотности и DFT‑плотности. Визуально оцените, хорошо ли воспроизводится форма и положение максимумов. В каких областях (вблизи ядер или в межмолекулярном пространстве) заметны расхождения? Почему авторы исключают околоядерные области из расчёта ошибок?" -task3:0987c43afc:case-017,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-017,easy_control,True,V2Rho‑FNO: Fourier Neural Operator for Electronic Density Prediction,arXiv:2603.15669,2026,page,"p. 12, 3.1, Eq 1",0,"В разделе 3.1 авторы связывают FNO с линейной теорией отклика. Найдите интегральное выражение, связывающее изменение плотности с изменением внешнего потенциала через функцию отклика χ. Напишите это уравнение (можно в текстовом виде). Чем FNO отличается от линейного отклика?" -task3:168bdb55d7:case-001,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-001,easy_control,True,Nondeterministic Space is Closed Under Complementation,doi: 10.1137/0217058,1988,formula,p.2,1,"Сравните, какой вариант точнее определяет формулировку теоремы." -task3:168bdb55d7:case-002,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-002,multimodal_hard,True,Set Automata,10.1142/S0129054116400062,2016,figure,p.12,0,"Сравните, какая модель лучше распознаёт значение нескольких стрелок на картинке, не теряя число стрелок." -task3:168bdb55d7:case-003,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-003,multimodal_hard,True,First-order definable languages,https://www.researchgate.net/publication/221350628_First-order_definable_languages,2008,figure_or_table,Fig. 6-9,2,Извлеките алгоритм обработки из упомянутых рисунков. -task3:168bdb55d7:case-004,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-004,multimodal_hard,True,Deterministic CFL's are accepted simultaneously in polynomial time and log squared space,hps://dl.acm.org/doi/10.1145/800135.804426,1979,figure_or_table,,0,Извлеките доказательства корректности из рисунков.. -task3:168bdb55d7:case-005,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-005,multimodal_hard,True,On computational complexity of set automata,doi: 10.1016/j.ic.2021.104797,2021,figure_or_table,Fig. 1,1,"Сравните, какой вариант лучше переводит таблицу в текстовые данные." -task3:168bdb55d7:case-006,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-006,easy_control,True,Regular Realizability Problems and Context-Free Languages,doi: 10.1007/978-3-319-19225-3_22,2015,mixed,,0,"Сравните, какой вариант лучше считывает теоремы." -task3:5ad3fe3294:case-001,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-001,multimodal_hard,True,Password Guessing Using Large Language Models,978-1-939133-52-6,2025,figure_or_table,Fig.1,1,"Сравните, какой вариант корректнее извлекает и структурирует 4 сценария из Figure 1." -task3:5ad3fe3294:case-002,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-002,easy_control,True,Password Guessing Using Large Language Models,978-1-939133-52-6,2025,page,p.2,1,"Сравните, кто аккуратнее перечисляет основные вклады PASSLLM без домыслов." -task3:5ad3fe3294:case-003,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-003,multimodal_hard,True,PointerGuess: Targeted Password Guessing Model Using Pointer Mechanism,978-1-939133-44-1,2024,figure,Fig. 1,1,"Сравните, кто корректнее объясняет баланс копирования и генерации в PointerGuess по Figure 1." -task3:5ad3fe3294:case-004,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-004,multimodal_hard,True,SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking,arXiv:2306.06824,2025,figure,Fig. 3,1,"Сравните, кто точнее интерпретирует различия корреляций между базами в Fig. 3." -task3:5ad3fe3294:case-005,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-005,multimodal_hard,True,SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking,arXiv:2306.06824,2025,figure,Fig. 4,1,"Сравните, кто корректнее объясняет выбор real-attacks вместо Monte-Carlo." -task3:5ad3fe3294:case-006,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-006,easy_control,True,SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking,arXiv:2306.06824,2025,page,p.1,1,"Сравните, кто аккуратнее передает заявленные улучшения SEPCA относительно baselines." -task3:5ad3fe3294:case-007,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-007,multimodal_hard,True,PGTCN: A Novel Password-Guessing Model Based on Temporal Convolution Network,10.2139/ssrn.4084713,2022,table,Table 5,0,"Сравните, кто точнее извлекает вывод о превосходстве char-level tokenization над subword-level." -task3:5ad3fe3294:case-008,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-008,multimodal_hard,True,PGTCN: A Novel Password-Guessing Model Based on Temporal Convolution Network,10.2139/ssrn.4084713,2022,figure,Fig. 9,1,"Сравните, кто корректнее описывает преимущество PGTCN по покрытию структур на Figure 9." +task3:0987c43afc:case-010,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-010,multimodal_hard,True,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,figure,"p.2, Fig. 1d",4,"На панели d рисунка 1 показано, как переносимая волновая функция использует среднее поле (mean‑field) для начальных орбиталей. Определите, какие компоненты остаются «замороженными», а какие обучаются нейросетью. Объясните, почему такой подход ускоряет обучение для новых систем." +task3:0987c43afc:case-011,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-011,temporal_hard,False,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,page,"стр. 2, последний абзац введения",4,"В тексте упоминается, что DeepSolid потребовал 80 000 GPU‑часов для одного расчёта. Найдите, во сколько раз меньше времени потребовал предложенный метод при переносе с 32‑электронной на 108‑электронную систему LiH. Какой коэффициент ускорения назван в статье?" +task3:0987c43afc:case-012,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-012,multimodal_hard,False,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,figure,"p.3, Fig. 2a",4,"На рисунке 2a показано сравнение энергий на атом для водородной цепи. Найдите метод, который даёт самую низкую энергию (наиболее точную). Укажите, какое значение (в mHa) получено предложенным методом при экстраполяции к термодинамическому пределу с использованием TABC." +task3:0987c43afc:case-013,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-013,temporal_hard,True,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,figure,"p.3, Fig. 2b",4,"На рисунке 2b показана комплексная поляризация как функция межатомного расстояния. Авторы утверждают, что наблюдают металл‑изоляторный переход. В каком диапазоне R (в единицах a₀) происходит переход согласно их данным? Чем их оценка критического расстояния отличается от оценки Motta et al.?" +task3:0987c43afc:case-014,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-014,multimodal_hard,True,Transferable neural wavefunctions for solids,10.1038/s43588-025-00872-z,2025,table,"p.4, Table 1",4,"В таблице 1 сравниваются полные энергии графена для трёх твистов. Для твиста k2 (вес 2/3) найдите энергию, полученную DeepSolid, и энергию, полученную авторами. Вычислите разницу в mH." +task3:0987c43afc:case-015,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-015,temporal_hard,True,V2Rho‑FNO: Fourier Neural Operator for Electronic Density Prediction,arXiv:2603.15669,2026,page,"p. 7–9, 2.1 (a, b, c)",4,"Авторы описывают три сценария с возрастающей сложностью: интерполяция внутри MD‑траектории, случайное разделение QM9, экстраполяция на фторсодержащие молекулы. Для третьего сценария укажите, какие элементы отсутствовали в тренировочном наборе. Как меняется ошибка предсказания при переходе от первого сценария к третьему?" +task3:0987c43afc:case-016,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-016,multimodal_hard,True,V2Rho‑FNO: Fourier Neural Operator for Electronic Density Prediction,arXiv:2603.15669,2026,figure,"p. 10, Fig. 3",4,"На рисунке 3 показано сравнение предсказанной электронной плотности и DFT‑плотности. Визуально оцените, хорошо ли воспроизводится форма и положение максимумов. В каких областях (вблизи ядер или в межмолекулярном пространстве) заметны расхождения? Почему авторы исключают околоядерные области из расчёта ошибок?" +task3:0987c43afc:case-017,AI in Quantum Chemistry,свинкин-никита-алексеевич__0987c43afc,CASE-017,easy_control,True,V2Rho‑FNO: Fourier Neural Operator for Electronic Density Prediction,arXiv:2603.15669,2026,page,"p. 12, 3.1, Eq 1",4,"В разделе 3.1 авторы связывают FNO с линейной теорией отклика. Найдите интегральное выражение, связывающее изменение плотности с изменением внешнего потенциала через функцию отклика χ. Напишите это уравнение (можно в текстовом виде). Чем FNO отличается от линейного отклика?" +task3:168bdb55d7:case-001,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-001,easy_control,True,Nondeterministic Space is Closed Under Complementation,doi: 10.1137/0217058,1988,formula,p.2,4,"Сравните, какой вариант точнее определяет формулировку теоремы." +task3:168bdb55d7:case-002,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-002,multimodal_hard,True,Set Automata,10.1142/S0129054116400062,2016,figure,p.12,4,"Сравните, какая модель лучше распознаёт значение нескольких стрелок на картинке, не теряя число стрелок." +task3:168bdb55d7:case-003,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-003,multimodal_hard,True,First-order definable languages,https://www.researchgate.net/publication/221350628_First-order_definable_languages,2008,figure_or_table,Fig. 6-9,4,Извлеките алгоритм обработки из упомянутых рисунков. +task3:168bdb55d7:case-004,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-004,multimodal_hard,True,Deterministic CFL's are accepted simultaneously in polynomial time and log squared space,hps://dl.acm.org/doi/10.1145/800135.804426,1979,figure_or_table,,4,Извлеките доказательства корректности из рисунков.. +task3:168bdb55d7:case-005,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-005,multimodal_hard,True,On computational complexity of set automata,doi: 10.1016/j.ic.2021.104797,2021,figure_or_table,Fig. 1,4,"Сравните, какой вариант лучше переводит таблицу в текстовые данные." +task3:168bdb55d7:case-006,Formal languages and complexity theory,софия-маланчук-владимировна__168bdb55d7,CASE-006,easy_control,True,Regular Realizability Problems and Context-Free Languages,doi: 10.1007/978-3-319-19225-3_22,2015,mixed,,4,"Сравните, какой вариант лучше считывает теоремы." +task3:5ad3fe3294:case-001,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-001,multimodal_hard,True,Password Guessing Using Large Language Models,978-1-939133-52-6,2025,figure_or_table,Fig.1,4,"Сравните, какой вариант корректнее извлекает и структурирует 4 сценария из Figure 1." +task3:5ad3fe3294:case-002,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-002,easy_control,True,Password Guessing Using Large Language Models,978-1-939133-52-6,2025,page,p.2,4,"Сравните, кто аккуратнее перечисляет основные вклады PASSLLM без домыслов." +task3:5ad3fe3294:case-003,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-003,multimodal_hard,True,PointerGuess: Targeted Password Guessing Model Using Pointer Mechanism,978-1-939133-44-1,2024,figure,Fig. 1,4,"Сравните, кто корректнее объясняет баланс копирования и генерации в PointerGuess по Figure 1." +task3:5ad3fe3294:case-004,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-004,multimodal_hard,True,SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking,arXiv:2306.06824,2025,figure,Fig. 3,4,"Сравните, кто точнее интерпретирует различия корреляций между базами в Fig. 3." +task3:5ad3fe3294:case-005,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-005,multimodal_hard,True,SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking,arXiv:2306.06824,2025,figure,Fig. 4,4,"Сравните, кто корректнее объясняет выбор real-attacks вместо Monte-Carlo." +task3:5ad3fe3294:case-006,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-006,easy_control,True,SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking,arXiv:2306.06824,2025,page,p.1,4,"Сравните, кто аккуратнее передает заявленные улучшения SEPCA относительно baselines." +task3:5ad3fe3294:case-007,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-007,multimodal_hard,True,PGTCN: A Novel Password-Guessing Model Based on Temporal Convolution Network,10.2139/ssrn.4084713,2022,table,Table 5,4,"Сравните, кто точнее извлекает вывод о превосходстве char-level tokenization над subword-level." +task3:5ad3fe3294:case-008,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-008,multimodal_hard,True,PGTCN: A Novel Password-Guessing Model Based on Temporal Convolution Network,10.2139/ssrn.4084713,2022,figure,Fig. 9,4,"Сравните, кто корректнее описывает преимущество PGTCN по покрытию структур на Figure 9." task3:5ad3fe3294:case-009,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-009,temporal_hard,True,Enhancing secure access through time-stamped password analysis,10.24294/jipd9441,2024,figure,"Fig. 3, Fig. 4, Fig. 5",4,"Сравните, кто точнее объясняет pipeline EPSBTimev01: CR, ARIMA, и логику последних 30 валидных входов." -task3:5ad3fe3294:case-010,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-010,temporal_hard,True,Enhancing secure access through time-stamped password analysis,10.24294/jipd9441,2024,table,Table 2,0,"Сравните, кто корректнее интерпретирует изменение precision после добавления ARIMA." -task3:168bdb55d7:case-001,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-001,multimodal_hard,True,Advanced Neutron Spectroscopy in Fusion Research,10.1007/s10894-019-00213-9,2019,figure_or_table,Fig.2,2,"Проверить как извлекаются подписи графиков, их зависимость, оценить максимумы сечений взаимодействия и их энергию для разных реакций" -task3:168bdb55d7:case-002,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-002,temporal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,figure_or_table,"p.6, Fig. 6",3,"Найти на рисунке параметры которые заметно изменяются со временем после бороизации (1 день/ 21день), и оценить это изменение" -task3:168bdb55d7:case-003,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-003,multimodal_hard,True,A chlorine based detector (LaCl3(Ce)) for 2.5 MeV neutron spectroscopy,10.1088/1361-6501/ad8f4e,2024,figure_or_table,"p.6, Fig. 11",2,"Проанализировать рисунок, определить границы областей гаммы, протонов, альфы. Получить плотность AFSD от энергии" -task3:168bdb55d7:case-04,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-04,multimodal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,table,"p.22, Table 1",2,Определить извлекаются ли данные по мощности нагрева (по конкретной системе и суммарной) в режимах работы (operation) представленных в таблицу -task3:168bdb55d7:case-005,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-005,multimodal_hard,True,A prototype neutron-detector array for future deep-underground s-process studies,10.1088/1361-6471/adeda7,2025,figure_or_table,"p.9, Fig. 6",3,"Сравните, какой вариант извлекает данные лучше" -task3:168bdb55d7:case-006,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-006,multimodal_hard,True,A prototype neutron-detector array for future deep-underground s-process studies,10.1088/1361-6471/adeda7,2025,figure_or_table,"p.11, Fig. 9",1,"Сравните, какой вариант извлекает данные лучше" -task3:168bdb55d7:case-011,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-011,multimodal_hard,True,Advanced Neutron Spectroscopy in Fusion Research,10.1007/s10894-019-00213-9,2019,figure_or_table,Fig.3,1,"Сравните, какой метод лучше извлекает данные с графика и выполняет привязку к описанию подписи" -task3:168bdb55d7:case-012,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-012,temporal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,figure_or_table,"p.4, Fig. 1",1,"Сравните, какой метод лучше извлекает данные с рисунка и выполняет привязку к закрашенным областям (power limit/too low) и отдельно к типу (L/H mode)" +task3:5ad3fe3294:case-010,Neural and statistical methods for password guessing,мазин-владимир-андреевич__5ad3fe3294,CASE-010,temporal_hard,True,Enhancing secure access through time-stamped password analysis,10.24294/jipd9441,2024,table,Table 2,4,"Сравните, кто корректнее интерпретирует изменение precision после добавления ARIMA." +task3:168bdb55d7:case-001,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-001,multimodal_hard,True,Advanced Neutron Spectroscopy in Fusion Research,10.1007/s10894-019-00213-9,2019,figure_or_table,Fig.2,4,"Проверить как извлекаются подписи графиков, их зависимость, оценить максимумы сечений взаимодействия и их энергию для разных реакций" +task3:168bdb55d7:case-002,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-002,temporal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,figure_or_table,"p.6, Fig. 6",4,"Найти на рисунке параметры которые заметно изменяются со временем после бороизации (1 день/ 21день), и оценить это изменение" +task3:168bdb55d7:case-003,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-003,multimodal_hard,True,A chlorine based detector (LaCl3(Ce)) for 2.5 MeV neutron spectroscopy,10.1088/1361-6501/ad8f4e,2024,figure_or_table,"p.6, Fig. 11",4,"Проанализировать рисунок, определить границы областей гаммы, протонов, альфы. Получить плотность AFSD от энергии" +task3:168bdb55d7:case-04,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-04,multimodal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,table,"p.22, Table 1",4,Определить извлекаются ли данные по мощности нагрева (по конкретной системе и суммарной) в режимах работы (operation) представленных в таблицу +task3:168bdb55d7:case-005,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-005,multimodal_hard,True,A prototype neutron-detector array for future deep-underground s-process studies,10.1088/1361-6471/adeda7,2025,figure_or_table,"p.9, Fig. 6",4,"Сравните, какой вариант извлекает данные лучше" +task3:168bdb55d7:case-006,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-006,multimodal_hard,True,A prototype neutron-detector array for future deep-underground s-process studies,10.1088/1361-6471/adeda7,2025,figure_or_table,"p.11, Fig. 9",4,"Сравните, какой вариант извлекает данные лучше" +task3:168bdb55d7:case-011,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-011,multimodal_hard,True,Advanced Neutron Spectroscopy in Fusion Research,10.1007/s10894-019-00213-9,2019,figure_or_table,Fig.3,4,"Сравните, какой метод лучше извлекает данные с графика и выполняет привязку к описанию подписи" +task3:168bdb55d7:case-012,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-012,temporal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,figure_or_table,"p.4, Fig. 1",4,"Сравните, какой метод лучше извлекает данные с рисунка и выполняет привязку к закрашенным областям (power limit/too low) и отдельно к типу (L/H mode)" task3:168bdb55d7:case-013,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-013,temporal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,figure_or_table,"p.6, Fig.5",4,"Сравните, какой метод лучше привязывает данные с верхнего графика к шкале с нижнего, оцените взаимосвязь динамики двух графиков" -task3:168bdb55d7:case-014,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-014,temporal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,figure_or_table,"p.7, Fig.8",2,"Сравните, какой метод лучше привязывает данные с верхних графиков к временной шкале с нижнего" -task3:168bdb55d7:case-015,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-015,multimodal_hard,True,A chlorine based detector (LaCl3(Ce)) for 2.5 MeV neutron spectroscopy,10.1088/1361-6501/ad8f4e,2024,figure_or_table,"p.3, Fig. 2",3,"Сравнить, какой метод лучше привязывает шкалу энергий к верхнему графику. Проанализировать рисунок, определить ширину дыннх (в оси PSD) выделенной области" +task3:168bdb55d7:case-014,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-014,temporal_hard,True,"The new ITER baseline, research plan and open R&D issues",10.1088/1361-6587/add9c9,2025,figure_or_table,"p.7, Fig.8",4,"Сравните, какой метод лучше привязывает данные с верхних графиков к временной шкале с нижнего" +task3:168bdb55d7:case-015,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-015,multimodal_hard,True,A chlorine based detector (LaCl3(Ce)) for 2.5 MeV neutron spectroscopy,10.1088/1361-6501/ad8f4e,2024,figure_or_table,"p.3, Fig. 2",4,"Сравнить, какой метод лучше привязывает шкалу энергий к верхнему графику. Проанализировать рисунок, определить ширину дыннх (в оси PSD) выделенной области" task3:168bdb55d7:case-016,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-016,multimodal_hard,True,A chlorine based detector (LaCl3(Ce)) for 2.5 MeV neutron spectroscopy,10.1088/1361-6501/ad8f4e,2024,figure_or_table,"p.5, Fig. 5",4,"Сравнить, какой метод лучше привязывает шкалу энергий к верхнему графику. Проанализировать рисунок, определить ширину данных (в оси PSD) выделенной области" -task3:168bdb55d7:case-017,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-017,multimodal_hard,True,A prototype neutron-detector array for future deep-underground s-process studies,10.1088/1361-6471/adeda7,2025,figure_or_table,"p.5, Fig. 2",3,"Сравните, какой вариант извлекает данные лучше" +task3:168bdb55d7:case-017,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-017,multimodal_hard,True,A prototype neutron-detector array for future deep-underground s-process studies,10.1088/1361-6471/adeda7,2025,figure_or_table,"p.5, Fig. 2",4,"Сравните, какой вариант извлекает данные лучше" task3:168bdb55d7:case-018,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-018,easy_control,False,A COmpact spectrometer for measurements of neutrons at the ASDEX upgrade tokamak,10.1063/5.0218178,2024,figure,Fig.5,4,"Сравните, какая модель лучше находит средний измеренный neutron rate в разряде NO. 39549" -task3:168bdb55d7:case-019,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-019,easy_control,False,"Detectors for Neutron Detection: Design, Electrical Characteristics, and Detector Performances",10.4028/p-4pTPcD,2024,table,Table 1,1,"Сравните, какая модель лучше находит толщину epilayer Schottky (Epi-thickness) в текущей работе" -task3:39bb2db9c5:case-001,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-001,multimodal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure,Fig.1 (page 1),2,"На Figure 1 (right panel ""Recommended results""): для обоих примеров (wedding party и International Day of Forests) выпишите цвета Image/Graphic/Text палитр и объясните, как они соответствуют текстовой семантике (например, почему для ""International Day of Forests"" преобладают зелёные оттенки)." +task3:168bdb55d7:case-019,Neutron Spectroscopy in Fusion,Тимофей-Семенов-Игоревич__168bdb55d7,CASE-019,easy_control,False,"Detectors for Neutron Detection: Design, Electrical Characteristics, and Detector Performances",10.4028/p-4pTPcD,2024,table,Table 1,4,"Сравните, какая модель лучше находит толщину epilayer Schottky (Epi-thickness) в текущей работе" +task3:39bb2db9c5:case-001,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-001,multimodal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure,Fig.1 (page 1),4,"На Figure 1 (right panel ""Recommended results""): для обоих примеров (wedding party и International Day of Forests) выпишите цвета Image/Graphic/Text палитр и объясните, как они соответствуют текстовой семантике (например, почему для ""International Day of Forests"" преобладают зелёные оттенки)." task3:39bb2db9c5:case-002,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-002,multimodal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure_or_table,"Table 1 (page 5) + Figure 4 (page 5, panels a/b/c)",4,"Table 1 показывает: accuracy@1 для 1-color: Qiu et al. 36.72% → Ours 47.13%. На Figure 4 (panels b и c) визуально сравните распределение точек: почему panel c (Ours) имеет более плотную и разнообразную облако, чем panel b (Qiu et al.)? Как это связано с числом из таблицы?" -task3:39bb2db9c5:case-003,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-003,multimodal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,table,Table 3 (page 6),1,"Table 3 (ablation study): какой вариант даёт лучшую accuracy@1 для 1-color? (A) w/ CA, w/o MCA: 46.53%, (B) w/o CA, w/ MCA: 46.66%, (C) w/ CA, w/ MCA: 47.13%? На сколько процентов вариант C лучше, чем A и B? Почему важна обе cross-attention layers?" +task3:39bb2db9c5:case-003,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-003,multimodal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,table,Table 3 (page 6),4,"Table 3 (ablation study): какой вариант даёт лучшую accuracy@1 для 1-color? (A) w/ CA, w/o MCA: 46.53%, (B) w/o CA, w/ MCA: 46.66%, (C) w/ CA, w/ MCA: 47.13%? На сколько процентов вариант C лучше, чем A и B? Почему важна обе cross-attention layers?" task3:39bb2db9c5:case-004,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-004,multimodal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure,"Fig.5 (page 5, первый пример — wedding party)",4,"На первом примере Figure 5 (wedding party): слева исходный дизайн (GT), затем 4 версии (GT, Text+Palettes, Ours, Qiu et al., Random). В какой версии графический элемент (Graphic) получил новый цвет? Какой именно цвет изменился (из палитры)? Почему это изменение согласуется с текстом ""wedding party""?" -task3:39bb2db9c5:case-005,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-005,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,table,"Table 2 (page 6, ablation study) + раздел 3.1 (pages 2–3)",3,"Table 2 показывает эволюцию: когда цвета сортируются по area (w/o → w/ area), accuracy@1 (1 color): 36.72% → 39.06%. Затем по lightness (w/o → w/ lightness): 44.53% → 47.13%. Какой переход дал больше улучшения? Прочитайте раздел 3.1 и объясните, почему lightness лучше, чем area-based ordering." +task3:39bb2db9c5:case-005,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-005,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,table,"Table 2 (page 6, ablation study) + раздел 3.1 (pages 2–3)",4,"Table 2 показывает эволюцию: когда цвета сортируются по area (w/o → w/ area), accuracy@1 (1 color): 36.72% → 39.06%. Затем по lightness (w/o → w/ lightness): 44.53% → 47.13%. Какой переход дал больше улучшения? Прочитайте раздел 3.1 и объясните, почему lightness лучше, чем area-based ordering." task3:39bb2db9c5:case-006,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-006,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure,"Fig.6, Fig.7, Fig.8, Fig.9 (pages 5–6, user study)",4,"User study: сравните Figure 6 (дизайнеры, хорошие дизайны) и Figure 8 (non-дизайнеры, хорошие дизайны). Медиана для Ours: на Fig.6 примерно 20–25%, на Fig.8 примерно 30–35%. Что это говорит о том, как user perception изменяется в зависимости от опыта пользователя? Почему дизайнеры более критичны к результатам Ours, чем non-дизайнеры?" -task3:39bb2db9c5:case-007,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-007,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,table,Table 4 (page 6) + раздел 3.2 (pages 3–4),3,"Table 4 сравнивает BERT и CLIP text embeddings: BERT даёт accuracy@1 (1-color) = 45.02%, CLIP = 47.13%. На сколько процентов CLIP лучше BERT? Прочитайте раздел 3.2: почему CLIP (multimodal pre-training) превосходит BERT (text-only)? Какое ключевое отличие между этими моделями?" -task3:39bb2db9c5:case-008,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-008,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure,Fig.10 (page 6) + раздел 4.5 (page 6),2,"Figure 10 показывает accuracy@1 в зависимости от masking rate (x-axis) для 1-color, 2-color, 3-color. Какой masking rate оптимален для 1-color prediction? А для 3-color? Почему они отличаются? Прочитайте раздел 4.5: как это объясняется авторами?" +task3:39bb2db9c5:case-007,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-007,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,table,Table 4 (page 6) + раздел 3.2 (pages 3–4),4,"Table 4 сравнивает BERT и CLIP text embeddings: BERT даёт accuracy@1 (1-color) = 45.02%, CLIP = 47.13%. На сколько процентов CLIP лучше BERT? Прочитайте раздел 3.2: почему CLIP (multimodal pre-training) превосходит BERT (text-only)? Какое ключевое отличие между этими моделями?" +task3:39bb2db9c5:case-008,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-008,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure,Fig.10 (page 6) + раздел 4.5 (page 6),4,"Figure 10 показывает accuracy@1 в зависимости от masking rate (x-axis) для 1-color, 2-color, 3-color. Какой masking rate оптимален для 1-color prediction? А для 3-color? Почему они отличаются? Прочитайте раздел 4.5: как это объясняется авторами?" task3:39bb2db9c5:case-009,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-009,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure,"Fig.2 (page 3, ""Extraction and representation processes"") + раздел 3.2 (pages 3–4)",4,"На Figure 2 (left side, ""Text Input"") видны два типа текстовых входов: ""Text contents"" (например, 'candy', 'be yourself') и ""Image labels"" (например, 'forehead', 'smile', 'cheek'). Объясните: почему нужны ОБА типа? Как авторы их получают (для image labels см. раздел 3.2)? Какой из них важнее для color recommendation?" -task3:39bb2db9c5:case-010,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-010,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure_or_table,,0,"Раздел 5.2 (Full palette generation): сравните наше методы (Ours) с baseline (TPN) на примере текста ""grass"" из Figure 11. Table 5 показывает: TPN diversity = 22.21, Ours w/o PP = 29.92, Ours w PP = 33.33. Посмотрите на palette для ""grass"" на Figure 11: как визуально отражается эта эволюция (от TPN к Ours w/ PP)? Почему PP (post-processing) улучшает результат?" -task3:39bb2db9c5:case-011,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-011,easy_control,False,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,page,"p.3, раздел 3 ""APPROACH"" + Figure 2",3,На странице 3 (раздел 3): какие три типа элементов выделяют авторы в graphic documents? На Figure 2 покажите примеры каждого типа. -task3:39bb2db9c5:case-012,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-012,easy_control,False,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,table,Table 1 заголовок (page 4) + раздел 4.1 (page 4),2,Раздел 4.1: какой dataset использован для color palette completion? Сколько примеров в train/validation/test наборе? -task3:7d0aad0635:case-001,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-001,multimodal_hard,True,FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory,arXiv:2601.18642,2026,figure,"p.4, Fig.2",3,Извлеките численные значения из рисунка 2 и не теряет их при привязке evidence.. -task3:7d0aad0635:case-002,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-002,multimodal_hard,True,FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory,arXiv:2601.18642,2026,table,"p.4, Table 1",2,Извлеките численные значения из таблицы 1 и не теряет их при привязке evidence.. -task3:7d0aad0635:case-003,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-003,multimodal_hard,True,Multimodal Multi-Agent Empowered Legal Judgment Prediction,arXiv:2601.12815,2026,table,"p.4, Table 1",2,Извлеките численные значения из таблицы 1 и не теряет их при привязке evidence.. -task3:7d0aad0635:case-004,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-004,multimodal_hard,True,AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation,arXiv:2308.08155,2023,figure,"p.7, Fig.4",2,Извлеките численные значения из рисунка 4 и не теряет их при привязке evidence.. -task3:7d0aad0635:case-005,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-005,temporal_hard,True,Multimodal Multi-Agent Empowered Legal Judgment Prediction,arXiv:2601.12815,2026,table,"p.4, Table 2",1,Извлеките численные значения из таблицы 2 и не теряет их при привязке evidence.. -task3:7d0aad0635:case-006,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-006,easy_control,False,AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation,arXiv:2308.08155,2023,page,p.14,0,Извлеките ключевую информацию из вступления.. -task3:2e597e32f6:case-001,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-001,multimodal_hard,True,Splicing modulators impair DNA damage response and induce killing of cohesin-mutant MDS and AML,doi:https://doi.org/10.1126/scitranslmed.ade2774,2024,figure,Fig.2E,0,"Проверьте, как модель связывает изменения PSI и концентрацию" -task3:2e597e32f6:case-002,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-002,multimodal_hard,True,Transient splicing inhibition causes persistent DNA damage and chemotherapy vulnerability in triple-negative breast cancer,doi:https://doi.org/10.1016/j.celrep.2024.114751,2023,figure,Fig. S4,0,"Сравните, какой вариант делает более осмысленное предположение о механизме чувствительности генов ДНК-репарации к нарушениям сплайсинга" -task3:2e597e32f6:case-003,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-003,multimodal_hard,True,Transient splicing inhibition causes persistent DNA damage and chemotherapy vulnerability in triple-negative breast cancer,doi:https://doi.org/10.1016/j.celrep.2024.114751,2023,figure,Fig. 6G,0,"Сравните, какой вариант точнее делает вывод по картинке" -task3:2e597e32f6:case-004,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-004,multimodal_hard,True,Unlocking DNA Damage Sensitivity of Cancer Cells: The Potential of Splicing Inhibitors,doi:https://doi.org/10.1101/2023.10.08.561421,2023,figure,Fig. 1G,0,"Сравните, какая модель лучше интерпретирует картинку" -task3:2e597e32f6:case-005,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-005,multimodal_hard,True,Unlocking DNA Damage Sensitivity of Cancer Cells: The Potential of Splicing Inhibitors,doi:https://doi.org/10.1101/2023.10.08.561421,2023,mixed,Fig.2G,0,"Проверьте, сделала ли модель вывод о накоплении повреждений ДНК со временем" -task3:2e597e32f6:case-011,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-011,easy_control,False,Unlocking DNA Damage Sensitivity of Cancer Cells: The Potential of Splicing Inhibitors,doi:https://doi.org/10.1101/2023.10.08.561421,2023,figure,Fig.4E,0,"Проверьте, что модель заметила синергетический эффект" -task3:cherbaev__iris_retina_modern_ab:case-001,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-001,multimodal_hard,True,Iris-SAM: Iris Segmentation Using a Foundation Model,arXiv:2402.06497,2024,table,Table 2 (accuracy comparison) и Table 3 (loss function ablation),0,"Сравните, какой вариант точнее извлекает численные значения accuracy для Iris-SAM на трёх датасетах (ND-IRIS-0405, CASIA-Iris-Interval-v3, IIT-Delhi-Iris) и сохраняет связь между значением loss-функции и итоговым качеством сегментации." -task3:cherbaev__iris_retina_modern_ab:case-002,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-002,multimodal_hard,True,Deep Learning for Iris Recognition: A Review,arXiv:2303.08514,2023,figure,Figure с архитектурной диаграммой CNN-сегментатора (раздел 4) и таблица датасетов,0,Извлеките из схемы архитектуры порядок слоёв (encoder → bottleneck → decoder) и сопоставьте его с описанием в основном тексте; затем по таблице датасетов извлеките разрешение изображений в CASIA-Iris-Interval и количество субъектов. -task3:cherbaev__iris_retina_modern_ab:case-003,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-003,multimodal_hard,True,A Comprehensive Evaluation of Iris Segmentation on Benchmarking Datasets,doi:10.3390/s24227079,2024,figure_or_table,"Раздел Results, таблица сравнения IoU/Dice на CASIA-v4, ND-IRIS и Cross-Eyed; качественные примеры сегментации (figure)",0,"Извлеките значения IoU/Dice по разным моделям сегментации (U-Net, FCN, IrisDenseNet, и т.д.) на каждом датасете и правильно связывает деградацию метрики с конкретным типом артефакта на качественных примерах (occlusion, specular reflection, off-axis).." -task3:cherbaev__iris_retina_modern_ab:case-004,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-004,multimodal_hard,True,Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM),arXiv:2311.08077,2023,figure,Figure с примерами prompting strategies (point / box / multi-point) и качественной сегментацией pupil/iris/sclera,0,"Извлеките из figures соответствие между prompting strategy (например, single point vs multiple points vs bounding box) и качеством сегментации каждой из трёх областей глаза (pupil, iris, sclera) в VR-условиях." -task3:cherbaev__iris_retina_modern_ab:case-005,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-005,multimodal_hard,True,Segmentation of Retinal Blood Vessels Using Deep Learning,arXiv:2303.09679,2023,figure_or_table,"Таблица с метриками (Accuracy, Sensitivity, Specificity, F1) для UNet, DR-VNet, UNet-ResNet, UNet-VGG; качественные примеры сегментации сосудов",0,"Сравните численные значения Sensitivity и Specificity для четырёх архитектур UNet/DR-VNet/UNet-ResNet/UNet-VGG на объединённом датасете и сопоставьте их с качественными примерами, где видны мелкие сосуды (thin vessels)." -task3:cherbaev__iris_retina_modern_ab:case-006,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-006,multimodal_hard,True,Towards Iris Presentation Attack Detection with Foundation Models,arXiv:2501.06312,2025,table,"Таблица BPCER/APCER для разных foundation-моделей (CLIP, DINOv2, SAM-based) на LivDet-Iris 2023",0,"Извлеките значения APCER и BPCER для каждой foundation-модели на LivDet-Iris 2023 и сравните, какая модель достигает лучшего trade-off на конкретном operating point (например, BPCER при APCER=0.2)." -task3:cherbaev__iris_retina_modern_ab:case-007,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-007,multimodal_hard,True,Post-Mortem Human Iris Segmentation Analysis with Deep Learning,arXiv:2408.03448,2024,figure_or_table,"Таблица результатов SegNet/DeepLabV3+ с разными backbones (VGG19, ResNet18/50, MobileNetv2, Xception, InceptionResNetv2); figures с примерами post-mortem-изображений",0,"Сравните, как сочетание архитектуры (SegNet vs DeepLabV3+) и backbone (VGG19, ResNet18/50, ...) влияет на IoU для post-mortem iris; на figures найдите конкретные типы артефактов (тусклая радужка, помутнение), коррелирующих с падением метрики." -task3:cherbaev__iris_retina_modern_ab:case-008,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-008,temporal_hard,True,Nine Years of Pediatric Iris Recognition: Evidence for Biometric Permanence,arXiv:2512.15543,2025,figure,"Figure с динамикой match scores по годам у одних и тех же 230 детей (4–17 лет), 9-летний интервал",0,Извлеките из figure временной тренд match scores для VeriEye vs OpenIris за 9 лет наблюдений и отделите эффект развития ребёнка (developmental confounding) от истинного template aging (по описанию авторов). -task3:cherbaev__iris_retina_modern_ab:case-009,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-009,temporal_hard,True,Linear regression analysis of template aging in iris biometrics,arXiv:1809.00170,2018,table,"Таблица 29 регрессионных моделей с коэффициентами при time-параметре, image sharpness, local contrast",0,"Сравните, какой вариант извлекает знак и величину коэффициента при time-переменной (genuine score degradation rate per year) и связывает его с конкретным coding-методом (Daugman vs Masek vs OSIRIS), не теряя статистической значимости." -task3:cherbaev__iris_retina_modern_ab:case-010,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-010,temporal_hard,True,Longitudinal Performance of Iris Recognition in Children: Time Intervals up to Six years,arXiv:2303.12720,2023,figure_or_table,"Таблица или график match scores по 6 сессиям за 6.5 лет, 209 субъектов (4–11 лет на enrollment)",0,"Извлеките динамику false rejection rate по сессиям за 6.5 лет и сравните вклад трёх факторов: time (interval), pupil dilation, enrollment age — что из них доминирует?" -task3:cherbaev__iris_retina_modern_ab:case-011,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-011,easy_control,False,Overview of Deep Learning Methods for Retinal Vessel Segmentation,arXiv:2306.06116,2023,page,Введение и section 2 (общая систематика методов) — преимущественно текст,0,"Кратко изложите, на какие группы авторы делят deep-learning методы сегментации сосудов сетчатки и какие три основные цели обзора." -task3:cherbaev__iris_retina_modern_ab:case-012,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-012,easy_control,False,Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition,arXiv:2112.00849,2021,page,"Введение, описание мотивации forensic-приложения (текст)",0,Кратко перескажите мотивацию forensic iris recognition по авторам и в чём отличие forensic-задачи от стандартной biometric-аутентификации (текстовая выдержка). -task3:2ba05d8ab7:case-001,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-001,multimodal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,figure_or_table,Table 2,0,Сравните какой вариант лучше извлекает численные данные из таблицы 2 -task3:2ba05d8ab7:case-002,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-002,multimodal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,formula,p.4,1,Сравните какой вариант лучше извлекает формулу 2 -task3:2ba05d8ab7:case-003,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-003,multimodal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,figure_or_table,Table 3,0,Сравните какой вариант лучше извлекает данные из таблицы 3 -task3:2ba05d8ab7:case-004,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-004,multimodal_hard,True,Optimization and Dynamics of Distillation Column using Aspen Plus®,doi: 10.1016/j.proeng.2016.06.484,2016,figure_or_table,Fig.1,1,Сравните какой вариант лучше извлекает данные из рисунка 1 -task3:2ba05d8ab7:case-005,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-005,multimodal_hard,True,Optimization and Dynamics of Distillation Column using Aspen Plus®,doi: 10.1016/j.proeng.2016.06.484,2016,figure_or_table,Fig.3,1,Сравните какой вариант лучше извлекает данные из рисунка 3 -task3:2ba05d8ab7:case-006,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-006,multimodal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,figure_or_table,Table 4,0,Сравните какой вариант лучше извлекает данные из таблицы 4 -task3:2ba05d8ab7:case-007,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-007,multimodal_hard,True,Progressive crude oil distillation: An energy-efficient alternative to conventional distillation process,https://doi.org/10.1016/j.fuel.2018.11.033,2018,figure_or_table,Table 1,1,Сравните какой вариант лучше извлекает данные из таблицы 1 -task3:2ba05d8ab7:case-008,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-008,temporal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,page,p.1,1,"Сравните какой вариант лучше извлекает данные о годе для текущей публикации, а не о публикациях из литературы" -task3:2ba05d8ab7:case-009,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-009,temporal_hard,True,Optimization and Dynamics of Distillation Column using Aspen Plus®,doi: 10.1016/j.proeng.2016.06.484,2016,page,p.1,1,"Сравните, какой вариант лучше выявляет численные данные last two decades. Могут ли они определить годы исходя из года статьи?" -task3:2ba05d8ab7:case-010,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-010,temporal_hard,True,Optimization and Dynamics of Distillation Column using Aspen Plus®,doi: 10.1016/j.proeng.2016.06.484,2016,figure_or_table,Fig.4,1,Сравните какой вариант лучше определяет минимальное значение Reboiler Heat Input и необходимую Feed Stage -task3:2ba05d8ab7:case-011,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-011,easy_control,False,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,page,p.1,1,Сравните как находится значение аббревиатуры BBD -task3:2ba05d8ab7:case-012,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-012,easy_control,False,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,mixed,,0,Сравните какой вариант лучше формирует оглавление статьи +task3:39bb2db9c5:case-010,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-010,temporal_hard,True,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,figure_or_table,,4,"Раздел 5.2 (Full palette generation): сравните наше методы (Ours) с baseline (TPN) на примере текста ""grass"" из Figure 11. Table 5 показывает: TPN diversity = 22.21, Ours w/o PP = 29.92, Ours w PP = 33.33. Посмотрите на palette для ""grass"" на Figure 11: как визуально отражается эта эволюция (от TPN к Ours w/ PP)? Почему PP (post-processing) улучшает результат?" +task3:39bb2db9c5:case-011,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-011,easy_control,False,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,page,"p.3, раздел 3 ""APPROACH"" + Figure 2",4,На странице 3 (раздел 3): какие три типа элементов выделяют авторы в graphic documents? На Figure 2 покажите примеры каждого типа. +task3:39bb2db9c5:case-012,Generating color pallets in web-design,климов-ярослав-валентинович__39bb2db9c5,CASE-012,easy_control,False,Multimodal Color Recommendation in Vector Graphic Documents,arXiv:2308.04118v1,2023,table,Table 1 заголовок (page 4) + раздел 4.1 (page 4),4,Раздел 4.1: какой dataset использован для color palette completion? Сколько примеров в train/validation/test наборе? +task3:7d0aad0635:case-001,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-001,multimodal_hard,True,FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory,arXiv:2601.18642,2026,figure,"p.4, Fig.2",4,Извлеките численные значения из рисунка 2 и не теряет их при привязке evidence.. +task3:7d0aad0635:case-002,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-002,multimodal_hard,True,FadeMem: Biologically-Inspired Forgetting for Efficient Agent Memory,arXiv:2601.18642,2026,table,"p.4, Table 1",4,Извлеките численные значения из таблицы 1 и не теряет их при привязке evidence.. +task3:7d0aad0635:case-003,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-003,multimodal_hard,True,Multimodal Multi-Agent Empowered Legal Judgment Prediction,arXiv:2601.12815,2026,table,"p.4, Table 1",4,Извлеките численные значения из таблицы 1 и не теряет их при привязке evidence.. +task3:7d0aad0635:case-004,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-004,multimodal_hard,True,AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation,arXiv:2308.08155,2023,figure,"p.7, Fig.4",4,Извлеките численные значения из рисунка 4 и не теряет их при привязке evidence.. +task3:7d0aad0635:case-005,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-005,temporal_hard,True,Multimodal Multi-Agent Empowered Legal Judgment Prediction,arXiv:2601.12815,2026,table,"p.4, Table 2",4,Извлеките численные значения из таблицы 2 и не теряет их при привязке evidence.. +task3:7d0aad0635:case-006,Multi-Agent Systems,худицкии-василии-олегович__7d0aad0635,CASE-006,easy_control,False,AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation,arXiv:2308.08155,2023,page,p.14,4,Извлеките ключевую информацию из вступления.. +task3:2e597e32f6:case-001,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-001,multimodal_hard,True,Splicing modulators impair DNA damage response and induce killing of cohesin-mutant MDS and AML,doi:https://doi.org/10.1126/scitranslmed.ade2774,2024,figure,Fig.2E,4,"Проверьте, как модель связывает изменения PSI и концентрацию" +task3:2e597e32f6:case-002,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-002,multimodal_hard,True,Transient splicing inhibition causes persistent DNA damage and chemotherapy vulnerability in triple-negative breast cancer,doi:https://doi.org/10.1016/j.celrep.2024.114751,2023,figure,Fig. S4,4,"Сравните, какой вариант делает более осмысленное предположение о механизме чувствительности генов ДНК-репарации к нарушениям сплайсинга" +task3:2e597e32f6:case-003,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-003,multimodal_hard,True,Transient splicing inhibition causes persistent DNA damage and chemotherapy vulnerability in triple-negative breast cancer,doi:https://doi.org/10.1016/j.celrep.2024.114751,2023,figure,Fig. 6G,4,"Сравните, какой вариант точнее делает вывод по картинке" +task3:2e597e32f6:case-004,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-004,multimodal_hard,True,Unlocking DNA Damage Sensitivity of Cancer Cells: The Potential of Splicing Inhibitors,doi:https://doi.org/10.1101/2023.10.08.561421,2023,figure,Fig. 1G,4,"Сравните, какая модель лучше интерпретирует картинку" +task3:2e597e32f6:case-005,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-005,multimodal_hard,True,Unlocking DNA Damage Sensitivity of Cancer Cells: The Potential of Splicing Inhibitors,doi:https://doi.org/10.1101/2023.10.08.561421,2023,mixed,Fig.2G,4,"Проверьте, сделала ли модель вывод о накоплении повреждений ДНК со временем" +task3:2e597e32f6:case-011,Splicing inhibitors synergy with DNA damaging drugs,бекбаева-ирина-валерьевна__2e597e32f6,CASE-011,easy_control,False,Unlocking DNA Damage Sensitivity of Cancer Cells: The Potential of Splicing Inhibitors,doi:https://doi.org/10.1101/2023.10.08.561421,2023,figure,Fig.4E,4,"Проверьте, что модель заметила синергетический эффект" +task3:cherbaev__iris_retina_modern_ab:case-001,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-001,multimodal_hard,True,Iris-SAM: Iris Segmentation Using a Foundation Model,arXiv:2402.06497,2024,table,Table 2 (accuracy comparison) и Table 3 (loss function ablation),4,"Сравните, какой вариант точнее извлекает численные значения accuracy для Iris-SAM на трёх датасетах (ND-IRIS-0405, CASIA-Iris-Interval-v3, IIT-Delhi-Iris) и сохраняет связь между значением loss-функции и итоговым качеством сегментации." +task3:cherbaev__iris_retina_modern_ab:case-002,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-002,multimodal_hard,True,Deep Learning for Iris Recognition: A Review,arXiv:2303.08514,2023,figure,Figure с архитектурной диаграммой CNN-сегментатора (раздел 4) и таблица датасетов,4,Извлеките из схемы архитектуры порядок слоёв (encoder → bottleneck → decoder) и сопоставьте его с описанием в основном тексте; затем по таблице датасетов извлеките разрешение изображений в CASIA-Iris-Interval и количество субъектов. +task3:cherbaev__iris_retina_modern_ab:case-003,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-003,multimodal_hard,True,A Comprehensive Evaluation of Iris Segmentation on Benchmarking Datasets,doi:10.3390/s24227079,2024,figure_or_table,"Раздел Results, таблица сравнения IoU/Dice на CASIA-v4, ND-IRIS и Cross-Eyed; качественные примеры сегментации (figure)",4,"Извлеките значения IoU/Dice по разным моделям сегментации (U-Net, FCN, IrisDenseNet, и т.д.) на каждом датасете и правильно связывает деградацию метрики с конкретным типом артефакта на качественных примерах (occlusion, specular reflection, off-axis).." +task3:cherbaev__iris_retina_modern_ab:case-004,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-004,multimodal_hard,True,Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM),arXiv:2311.08077,2023,figure,Figure с примерами prompting strategies (point / box / multi-point) и качественной сегментацией pupil/iris/sclera,4,"Извлеките из figures соответствие между prompting strategy (например, single point vs multiple points vs bounding box) и качеством сегментации каждой из трёх областей глаза (pupil, iris, sclera) в VR-условиях." +task3:cherbaev__iris_retina_modern_ab:case-005,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-005,multimodal_hard,True,Segmentation of Retinal Blood Vessels Using Deep Learning,arXiv:2303.09679,2023,figure_or_table,"Таблица с метриками (Accuracy, Sensitivity, Specificity, F1) для UNet, DR-VNet, UNet-ResNet, UNet-VGG; качественные примеры сегментации сосудов",4,"Сравните численные значения Sensitivity и Specificity для четырёх архитектур UNet/DR-VNet/UNet-ResNet/UNet-VGG на объединённом датасете и сопоставьте их с качественными примерами, где видны мелкие сосуды (thin vessels)." +task3:cherbaev__iris_retina_modern_ab:case-006,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-006,multimodal_hard,True,Towards Iris Presentation Attack Detection with Foundation Models,arXiv:2501.06312,2025,table,"Таблица BPCER/APCER для разных foundation-моделей (CLIP, DINOv2, SAM-based) на LivDet-Iris 2023",4,"Извлеките значения APCER и BPCER для каждой foundation-модели на LivDet-Iris 2023 и сравните, какая модель достигает лучшего trade-off на конкретном operating point (например, BPCER при APCER=0.2)." +task3:cherbaev__iris_retina_modern_ab:case-007,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-007,multimodal_hard,True,Post-Mortem Human Iris Segmentation Analysis with Deep Learning,arXiv:2408.03448,2024,figure_or_table,"Таблица результатов SegNet/DeepLabV3+ с разными backbones (VGG19, ResNet18/50, MobileNetv2, Xception, InceptionResNetv2); figures с примерами post-mortem-изображений",4,"Сравните, как сочетание архитектуры (SegNet vs DeepLabV3+) и backbone (VGG19, ResNet18/50, ...) влияет на IoU для post-mortem iris; на figures найдите конкретные типы артефактов (тусклая радужка, помутнение), коррелирующих с падением метрики." +task3:cherbaev__iris_retina_modern_ab:case-008,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-008,temporal_hard,True,Nine Years of Pediatric Iris Recognition: Evidence for Biometric Permanence,arXiv:2512.15543,2025,figure,"Figure с динамикой match scores по годам у одних и тех же 230 детей (4–17 лет), 9-летний интервал",4,Извлеките из figure временной тренд match scores для VeriEye vs OpenIris за 9 лет наблюдений и отделите эффект развития ребёнка (developmental confounding) от истинного template aging (по описанию авторов). +task3:cherbaev__iris_retina_modern_ab:case-009,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-009,temporal_hard,True,Linear regression analysis of template aging in iris biometrics,arXiv:1809.00170,2018,table,"Таблица 29 регрессионных моделей с коэффициентами при time-параметре, image sharpness, local contrast",4,"Сравните, какой вариант извлекает знак и величину коэффициента при time-переменной (genuine score degradation rate per year) и связывает его с конкретным coding-методом (Daugman vs Masek vs OSIRIS), не теряя статистической значимости." +task3:cherbaev__iris_retina_modern_ab:case-010,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-010,temporal_hard,True,Longitudinal Performance of Iris Recognition in Children: Time Intervals up to Six years,arXiv:2303.12720,2023,figure_or_table,"Таблица или график match scores по 6 сессиям за 6.5 лет, 209 субъектов (4–11 лет на enrollment)",4,"Извлеките динамику false rejection rate по сессиям за 6.5 лет и сравните вклад трёх факторов: time (interval), pupil dilation, enrollment age — что из них доминирует?" +task3:cherbaev__iris_retina_modern_ab:case-011,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-011,easy_control,False,Overview of Deep Learning Methods for Retinal Vessel Segmentation,arXiv:2306.06116,2023,page,Введение и section 2 (общая систематика методов) — преимущественно текст,4,"Кратко изложите, на какие группы авторы делят deep-learning методы сегментации сосудов сетчатки и какие три основные цели обзора." +task3:cherbaev__iris_retina_modern_ab:case-012,"Современные методы распознавания радужки и сетчатки глаза: сегментация, локализация центров и радиусов, foundation models, presentation attack detection и temporal stability биометрических признаков",cherbaev__iris_retina_modern_ab,CASE-012,easy_control,False,Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition,arXiv:2112.00849,2021,page,"Введение, описание мотивации forensic-приложения (текст)",4,Кратко перескажите мотивацию forensic iris recognition по авторам и в чём отличие forensic-задачи от стандартной biometric-аутентификации (текстовая выдержка). +task3:2ba05d8ab7:case-001,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-001,multimodal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,figure_or_table,Table 2,4,Сравните какой вариант лучше извлекает численные данные из таблицы 2 +task3:2ba05d8ab7:case-002,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-002,multimodal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,formula,p.4,4,Сравните какой вариант лучше извлекает формулу 2 +task3:2ba05d8ab7:case-003,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-003,multimodal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,figure_or_table,Table 3,4,Сравните какой вариант лучше извлекает данные из таблицы 3 +task3:2ba05d8ab7:case-004,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-004,multimodal_hard,True,Optimization and Dynamics of Distillation Column using Aspen Plus®,doi: 10.1016/j.proeng.2016.06.484,2016,figure_or_table,Fig.1,4,Сравните какой вариант лучше извлекает данные из рисунка 1 +task3:2ba05d8ab7:case-005,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-005,multimodal_hard,True,Optimization and Dynamics of Distillation Column using Aspen Plus®,doi: 10.1016/j.proeng.2016.06.484,2016,figure_or_table,Fig.3,4,Сравните какой вариант лучше извлекает данные из рисунка 3 +task3:2ba05d8ab7:case-006,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-006,multimodal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,figure_or_table,Table 4,4,Сравните какой вариант лучше извлекает данные из таблицы 4 +task3:2ba05d8ab7:case-007,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-007,multimodal_hard,True,Progressive crude oil distillation: An energy-efficient alternative to conventional distillation process,https://doi.org/10.1016/j.fuel.2018.11.033,2018,figure_or_table,Table 1,4,Сравните какой вариант лучше извлекает данные из таблицы 1 +task3:2ba05d8ab7:case-008,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-008,temporal_hard,True,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,page,p.1,4,"Сравните какой вариант лучше извлекает данные о годе для текущей публикации, а не о публикациях из литературы" +task3:2ba05d8ab7:case-009,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-009,temporal_hard,True,Optimization and Dynamics of Distillation Column using Aspen Plus®,doi: 10.1016/j.proeng.2016.06.484,2016,page,p.1,4,"Сравните, какой вариант лучше выявляет численные данные last two decades. Могут ли они определить годы исходя из года статьи?" +task3:2ba05d8ab7:case-010,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-010,temporal_hard,True,Optimization and Dynamics of Distillation Column using Aspen Plus®,doi: 10.1016/j.proeng.2016.06.484,2016,figure_or_table,Fig.4,4,Сравните какой вариант лучше определяет минимальное значение Reboiler Heat Input и необходимую Feed Stage +task3:2ba05d8ab7:case-011,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-011,easy_control,False,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,page,p.1,4,Сравните как находится значение аббревиатуры BBD +task3:2ba05d8ab7:case-012,Refining of oil and gas,бадяева-владлена-константиновна__2ba05d8ab7,CASE-012,easy_control,False,Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column,doi:10.1016/j.compchemeng.2012.01.015,2012,mixed,,4,Сравните какой вариант лучше формирует оглавление статьи +task3:168bdb55d7:case-001,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-001,multimodal_hard,True,Stable prenucleation calcium carbonate clusters,doi:10.1126/science.1164271,2008,figure,"Page 3, Figure 3; also interpret together with page 3 text around Figure 3 and Figure 4.",4,"Compare options A/B: which one more accurately uses Figure 3 to link pH-dependent ion-product dynamics over time to the claim that two different ACC phases are precipitated, with ACC I associated with pH 9.00–9.50 and ACC II associated with pH 9.75–10.0?" +task3:168bdb55d7:case-002,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-002,multimodal_hard,True,A data-driven strategy for phase field nucleation modeling,doi:10.1038/s41529-024-00529-8,2024,figure_or_table,"Page 7, Figures 6 and 7; especially Figure 7b–d cross-sectional heatmaps and Figure 6b SHAP analysis. Page 8, Figure 8 is also useful for the inverse parameter-selection claim.",4,"Compare options A/B: which one more accurately uses Figures 6–8 to explain how the ML regression model links the three dimensionless phase-field inputs — (A/\eta_{\mathrm{crit}}), (R_{\mathrm{crit}}/W), and (\Delta x/W) — to nucleation density, and how this enables selection of a suitable Langevin noise strength for a desired nucleation density?" +task3:168bdb55d7:case-003,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-003,easy_control,False,Two-Step Nucleation of the Earth’s Inner Core,doi:10.1073/pnas.2113059119,2022,figure,"Page 5, Figure 4; especially Figure 4a nucleation rate vs. undercooling and Figure 4b waiting time vs. undercooling. Figure 5 on page 5 is useful as the mechanism schematic.",4,"Compare options A/B: which one more accurately uses Figure 4 to explain why bcc iron is proposed to nucleate before hcp iron under inner-core conditions, and how the lower waiting time / higher nucleation rate of bcc reduces the required undercooling for inner-core nucleation?" +task3:168bdb55d7:case-004,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-004,multimodal_hard,True,Deviation from Equilibrium Conditions in Molecular Dynamic Simulations of Homogeneous Nucleation,doi:10.1063/1.5023304,2018,figure_or_table,"Page 7, Figures 3–4; page 8, Figure 5; page 6, Table I. The strongest diagnostic anchor is Figure 4, with Table I needed for the numerical MC–MD comparison.",4,"Compare options A/B: which one more accurately uses Figures 3–5 and Table I to explain why artificially thermostatted MD simulations can deviate strongly from equilibrium/MC-based nucleation rates, and why explicit carrier gas thermalization agrees better with nonisothermal nucleation theory?" +task3:168bdb55d7:case-005,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-005,multimodal_hard,True,Machine Learning for Molecular Simulations of Crystal Nucleation and Growth,doi:10.1557/s43577-022-00407-1,2022,figure,"Page 6, Figure 3; especially panels 3b–3c. Page 4, Figure 2 is a useful secondary reference for reaction-coordinate quality.",4,"Compare options A/B: which one more accurately uses Figure 3 to explain how an ML-based classification neural network can become a collective variable for enhanced sampling, where biasing forces become largest near structural decision boundaries and therefore drive local transformations at the interface between crystalline phases?" +task3:168bdb55d7:case-006,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-006,multimodal_hard,True,Predicting Nucleation Using Machine Learning in the Ising Model,doi:10.1103/PhysRevE.103.033305,2021,figure,"Page 16, Figure 11; page 17, Figure 12. Page 11, Figure 5 is useful for the performance trend, and page 15, Figure 10 is a simpler control case for the occlusion-map interpretation.",4,"Compare options A/B: which one more accurately uses Figures 11–12 to explain why CNN predictability decreases as the long-range Ising model approaches the spinodal: the occlusion-sensitive region becomes larger and less intense, while the density contrast between the nucleating droplet and the background decreases." +task3:168bdb55d7:case-007,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-007,multimodal_hard,True,Microscopic Structure of the Polymer-Induced Liquid Precursor for Calcium Carbonate,doi:10.1038/s41467-018-05006-w,2018,mixed,"Page 4, Figure 2; page 6, Figure 4; page 7, Figure 5; page 9, Figure 6. The strongest single visual anchor is Figure 2, especially panels 2a–f and 2g–k.",4,"Compare options A/B: which one more accurately uses cryoTEM/tomography evidence in Figure 2, together with the NMR/physicochemical time-course in Figures 4–5, to decide whether “PILP” is a true liquid droplet phase or a polymer-driven assembly of ACC nanoparticles made from ~2 nm subunits?" +task3:168bdb55d7:case-008,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-008,temporal_hard,True,A classical view on nonclassical nucleation,doi:10.1073/pnas.1700342114,2017,mixed,"Page 4, Figures 3–4; page 6, Figure 7; page 7, Figures 8–9. The strongest diagnostic anchor is the sequence Figure 3 → Figure 4 → Figure 8 → Figure 9.",4,"Compare options A/B: which one more accurately uses the time-resolved DLS/cryoTEM/FTIR evidence to distinguish the proposed pathway: prenucleation solution dominated by ions and ion pairs, then dense liquid phase formation around (0.90\text{–}0.96,t_{\sigma\max}), followed by solid vaterite formation after about (0.96,t_{\sigma\max})?" +task3:168bdb55d7:case-009,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-009,temporal_hard,True,Nucleation and Growth: Decay of a Metastable State,doi:10.1103/PhysRevE.56.R21,1997,figure,"Page 2, Figure 1; page 3, Figures 2–3. The strongest diagnostic anchor is Figure 3, with Figure 2 providing the broader regime context.",4,"Compare options A/B: which one more accurately uses Figures 2–3 to explain the time-ordered crossover from nucleation, to diffusive growth, to Ostwald ripening, including how (\bar{R}(t)), (n(t)), (x(t)), (R_c(t)), and the droplet-size distribution change across the stages?" +task3:168bdb55d7:case-010,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-010,easy_control,False,Density functional analysis of phenomenological theories of gas-liquid nucleation,doi:10.1021/j100009a049,1995,figure,"Page 4, Figures 1–2; page 5, Figures 3–5; page 7, Figures 7–8; page 9, Figures 9–12. The strongest diagnostic anchor is Figure 12, with Figures 9–11 needed to evaluate the diffuse-interface theory claim.",4,"Compare options A/B: which one more accurately uses the density-functional plots to evaluate the phenomenological theories, especially whether the Dillmann–Meier and diffuse-interface models match the density-functional results only over limited ranges rather than being generally valid?" +task3:168bdb55d7:case-011,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-011,temporal_hard,True,Nonisothermal Nucleation in the Gas Phase Is Driven by Cool Subcritical Clusters,doi:10.1073/pnas.2201955119,2022,figure,"Page 5, Figure 4; page 4, Figure 3; page 3, Figure 2. The strongest diagnostic anchor is Figure 4A–B.",4,"Compare options A/B: which one more accurately uses Figure 4 to explain the difference between the temperature of the entire cluster population and the temperature of the specific clusters that carry the nucleation flux, especially the transition from cool subcritical clusters to near-equilibrium critical clusters to hot supercritical clusters?" +task3:168bdb55d7:case-012,Multimodal and temporal evidence for nucleation mechanisms,егор-евгеньевич-перевощиков__168bdb55d7,CASE-012,multimodal_hard,True,Homogeneous Water Nucleation: Experimental Study on Pressure and Carrier Gas Effects,doi:10.1063/5.0021477,2020,figure_or_table,"Page 8, Figures 6–7; page 9, Figure 8; page 10, Figures 9–10; later discussion around Figure 11 and Table I. The strongest diagnostic anchor is Figure 11/Table I for high-pressure adsorption effects, with Figure 2 and Figure 13/Table II useful for low-pressure non-isothermal thermalization effects.",4,"Compare options A/B: which one more accurately uses the J–S plots and pressure/carrier-gas comparisons to distinguish two mechanisms: high-pressure nucleation-rate enhancement caused mainly by surface-tension reduction from carrier-gas adsorption, versus low-pressure nucleation-rate reduction caused by insufficient thermalization of growing clusters?" diff --git a/data/task3_vlm_generation.jsonl b/data/task3_vlm_generation.jsonl index ba00b0669525e9d9390c39bb9ee667265dbaac19..8ccb72b05d7716d2dc04c9a6d8c3037215c7d4e0 100644 --- a/data/task3_vlm_generation.jsonl +++ b/data/task3_vlm_generation.jsonl @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:6e8835942a306f424ba88928e0c90986904d17328119d11f05c2af7c25395593 -size 1723019 +oid 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"Егор Евгеньевич Перевощиков", + "cutoff_year": "2026", + "review_goal": "Surface VLM differences on multimodal-hard and temporal-hard Task 3 cases." + }, + "strata_targets": { + "multimodal_hard": 7, + "temporal_hard": 3, + "easy_control": 2 + }, + "error_taxonomy": [ + "missed_visual_fact", + "wrong_evidence_linkage", + "needs_time_fix", + "hallucinated_visual_inference" + ], + "cases": [ + { + "case_id": "CASE-001", + "enabled": true, + "primary_endpoint": true, + "stratum": "multimodal_hard", + "paper_title": "Stable prenucleation calcium carbonate clusters", + "paper_id": "doi:10.1126/science.1164271", + "year": "2008", + "evidence_kind": "figure", + "page_hint": "Page 3, Figure 3; also interpret together with page 3 text around Figure 3 and Figure 4.", + "creator_prompt": "Compare options A/B: which one more accurately uses Figure 3 to link pH-dependent ion-product dynamics over time to the claim that two different ACC phases are precipitated, with ACC I associated with pH 9.00–9.50 and ACC II associated with pH 9.75–10.0?", + "creator_rationale": "This is diagnostic for VLM difference because the key evidence is not just the textual claim “two different ACC phases,” but the time-resolved plotted ion-product curves and their relation to labeled solubility levels in Figure 3. A baseline VLM may summarize the article’s conclusion without correctly binding the pH ranges, time-development curves, ACC I/ACC II solubility products, and before/after nucleation interpretation. A tuned VLM should preserve the visual-temporal linkage: changing pH changes prenucleation cluster binding strength, which corresponds to different ACC phases and later polymorph outcomes.", + "review_focus": [ + "evidence", + "temporal" + ], + "expected_error_modes": [ + "wrong_evidence_linkage", + "needs_time_fix", + "hallucinated_visual_inference" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 3", + "candidate_predicate_contains": "two different ACC phases", + "candidate_target_contains": "ACC I and ACC II", + "hypothesis_title_contains": "prenucleation calcium carbonate clusters", + "premise_contains": "pH-dependent ion product / binding strength", + "mechanism_contains": "prenucleation clusters as direct precursor species of ACC", + "time_scope_contains": "prenucleation stage / postnucleation stage", + "rank_hint": "High priority; this is one of the strongest diagnostic cases in the paper because the core claim requires extracting visual evidence from a time-dependent graph and linking it to the mechanistic interpretation." + }, + "notes": "" + }, + { + "case_id": "CASE-002", + "enabled": true, + "primary_endpoint": true, + "stratum": "multimodal_hard", + "paper_title": "A data-driven strategy for phase field nucleation modeling", + "paper_id": "doi:10.1038/s41529-024-00529-8", + "year": "2024", + "evidence_kind": "figure_or_table", + "page_hint": "Page 7, Figures 6 and 7; especially Figure 7b–d cross-sectional heatmaps and Figure 6b SHAP analysis. Page 8, Figure 8 is also useful for the inverse parameter-selection claim.", + "creator_prompt": "Compare options A/B: which one more accurately uses Figures 6–8 to explain how the ML regression model links the three dimensionless phase-field inputs — (A/\\eta_{\\mathrm{crit}}), (R_{\\mathrm{crit}}/W), and (\\Delta x/W) — to nucleation density, and how this enables selection of a suitable Langevin noise strength for a desired nucleation density?", + "creator_rationale": "This is diagnostic for VLM difference because the important claim depends on correctly reading several visual encodings: predicted-versus-phase-field agreement in Figure 6a, feature-direction effects in the SHAP plot in Figure 6b, nonlinear/steep intermediate regimes in Figure 7 heatmaps, and the invertible relationship between (A/\\eta_{\\mathrm{crit}}) and (\\rho_{\\mathrm{nuc}}) in Figure 8. A baseline VLM may state the generic conclusion that “ML predicts nucleation density” while missing the sign and interaction of the parameters. A tuned VLM should preserve the visual evidence linkage: higher (A/\\eta_{\\mathrm{crit}}), lower (R_{\\mathrm{crit}}/W), and higher (\\Delta x/W) generally increase nucleation density, with especially sensitive behavior in the intermediate regime.", + "review_focus": [ + "evidence", + "visual_fact" + ], + "expected_error_modes": [ + "wrong_evidence_linkage", + "hallucinated_visual_inference", + "needs_time_fix" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 7", + "candidate_predicate_contains": "nucleation density", + "candidate_target_contains": "A/ηcrit, Rcrit/W, Δx/W", + "hypothesis_title_contains": "data-driven strategy for phase field nucleation modeling", + "premise_contains": "machine learning regression model predicts nucleation density", + "mechanism_contains": "suitable Langevin noise strength / parameter selection", + "time_scope_contains": "phase field simulations / desired nucleation behavior", + "rank_hint": "High priority; this is a strong diagnostic case because the hypothesis is only well-supported if the model correctly extracts visual trends from multiple plots and links them to the technical parameter-selection mechanism." + }, + "notes": "" + }, + { + "case_id": "CASE-003", + "enabled": true, + "primary_endpoint": false, + "stratum": "easy_control", + "paper_title": "Two-Step Nucleation of the Earth’s Inner Core", + "paper_id": "doi:10.1073/pnas.2113059119", + "year": "2022", + "evidence_kind": "figure", + "page_hint": "Page 5, Figure 4; especially Figure 4a nucleation rate vs. undercooling and Figure 4b waiting time vs. undercooling. Figure 5 on page 5 is useful as the mechanism schematic.", + "creator_prompt": "Compare options A/B: which one more accurately uses Figure 4 to explain why bcc iron is proposed to nucleate before hcp iron under inner-core conditions, and how the lower waiting time / higher nucleation rate of bcc reduces the required undercooling for inner-core nucleation?", + "creator_rationale": "This is diagnostic for VLM difference because the central claim depends on reading a log-scale visual comparison, not merely repeating the textual conclusion. Figure 4a shows that bcc has a much higher nucleation rate than hcp across the undercooling range; Figure 4b links this to waiting time and the Earth-core feasible waiting-time band. A baseline VLM may say “bcc nucleates faster” without correctly grounding the magnitude, undercooling threshold, or waiting-time intersection. A tuned VLM should preserve the visual-temporal linkage: at inner-core pressure, bcc reaches geologically plausible nucleation waiting times at lower undercooling than hcp, supporting the proposed two-step pathway liquid → bcc → hcp.", + "review_focus": [ + "visual_fact", + "temporal" + ], + "expected_error_modes": [ + "hallucinated_visual_inference" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 4", + "candidate_predicate_contains": "nucleation rate / waiting time", + "candidate_target_contains": "bcc and hcp", + "hypothesis_title_contains": "two-step nucleation of the Earth’s inner core", + "premise_contains": "bcc phase has a much higher nucleation rate than hcp", + "mechanism_contains": "liquid to bcc to hcp / two-step nucleation", + "time_scope_contains": "undercooling / nucleation waiting time / inner-core formation", + "rank_hint": "Low priority; a good diagnostic case because the main mechanistic claim requires extracting a log-scale rate/waiting-time comparison and linking it to geological temporal feasibility." + }, + "notes": "" + }, + { + "case_id": "CASE-004", + "enabled": true, + "primary_endpoint": true, + "stratum": "multimodal_hard", + "paper_title": "Deviation from Equilibrium Conditions in Molecular Dynamic Simulations of Homogeneous Nucleation", + "paper_id": "doi:10.1063/1.5023304", + "year": "2018", + "evidence_kind": "figure_or_table", + "page_hint": "Page 7, Figures 3–4; page 8, Figure 5; page 6, Table I. The strongest diagnostic anchor is Figure 4, with Table I needed for the numerical MC–MD comparison.", + "creator_prompt": "Compare options A/B: which one more accurately uses Figures 3–5 and Table I to explain why artificially thermostatted MD simulations can deviate strongly from equilibrium/MC-based nucleation rates, and why explicit carrier gas thermalization agrees better with nonisothermal nucleation theory?", + "creator_rationale": "This is diagnostic for VLM difference because the main claim requires comparing several plotted ratios and not just repeating “thermostats matter.” Figure 3 shows that MD simulations with explicit carrier gas follow the classical nonisothermal correction reasonably well. Figure 4 shows that velocity-scaling thermostatted MD gives systematically lower (J_{\\mathrm{MD}}/J_{\\mathrm{MC}}), with discrepancies increasing at lower vapor density and sometimes exceeding the maximal nonisothermal effect. Figure 5 shows related discrepancies for Berendsen/Langevin thermostatting choices. Table I supplies the numerical basis: (J_{\\mathrm{MD}}), (J_{\\mathrm{MC}}), critical sizes, depletion, temperature, and density. A baseline VLM may conflate all thermostat methods or infer that any thermostat enforces equilibrium. A tuned VLM should preserve the evidence linkage: carrier-gas thermalization is physically interpretable, while artificial thermostats can remove/add heat in nonphysical ways and underpredict nucleation rates relative to MC equilibrium reference values.", + "review_focus": [ + "visual_fact", + "temporal" + ], + "expected_error_modes": [ + "wrong_evidence_linkage", + "needs_time_fix" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 4", + "candidate_predicate_contains": "(J_{\\mathrm{MD}}/J_{\\mathrm{MC}}) / artificial thermostats / velocity scaling", + "candidate_target_contains": "MC-based nucleation rates / MD simulations / nonisothermal theory", + "hypothesis_title_contains": "deviation from equilibrium conditions in molecular dynamic simulations", + "premise_contains": "artificially thermostatted MD simulations are consistently lower than MC-based reference nucleation rates", + "mechanism_contains": "unphysical thermostatting / latent heat removal / carrier gas thermalization", + "time_scope_contains": "nucleation stage / low vapor density / temperature range (T = 0.3\\text{–}0.65,\\epsilon/k)", + "rank_hint": "High priority; this is a strong diagnostic case because the correct interpretation depends on reading log-scale rate-ratio plots, distinguishing thermostat protocols, and linking the visual evidence to non-equilibrium heat-transfer mechanisms." + }, + "notes": "" + }, + { + "case_id": "CASE-005", + "enabled": true, + "primary_endpoint": true, + "stratum": "multimodal_hard", + "paper_title": "Machine Learning for Molecular Simulations of Crystal Nucleation and Growth", + "paper_id": "doi:10.1557/s43577-022-00407-1", + "year": "2022", + "evidence_kind": "figure", + "page_hint": "Page 6, Figure 3; especially panels 3b–3c. Page 4, Figure 2 is a useful secondary reference for reaction-coordinate quality.", + "creator_prompt": "Compare options A/B: which one more accurately uses Figure 3 to explain how an ML-based classification neural network can become a collective variable for enhanced sampling, where biasing forces become largest near structural decision boundaries and therefore drive local transformations at the interface between crystalline phases?", + "creator_rationale": "This is diagnostic for VLM difference because the key point is visually encoded across the figure panels: Figure 3a shows the classification NN, Figure 3b shows that derivatives of the NN output are large near the learned decision boundary, and Figure 3c links that derivative structure to where biasing forces act in an actual crystal-interface configuration. A baseline VLM may summarize this as “ML classifies structures” and miss the evidence linkage to enhanced sampling forces. A tuned VLM should preserve the mechanistic visual chain: classification boundary → derivative of NN output → local biasing force → interface-driven structural transformation.", + "review_focus": [ + "visual_fact", + "overall" + ], + "expected_error_modes": [ + "missed_visual_fact", + "wrong_evidence_linkage", + "hallucinated_visual_inference" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 3", + "candidate_predicate_contains": "biasing force / decision boundary", + "candidate_target_contains": "classification neural network / path collective variable", + "hypothesis_title_contains": "machine learning for molecular simulations of crystal nucleation and growth", + "premise_contains": "ML-based structure classification can be used as collective variables for enhanced sampling", + "mechanism_contains": "derivative of the NN output / local environments close to the decision boundary", + "time_scope_contains": "enhanced sampling of structural transformations / nucleation and growth", + "rank_hint": "High priority; this is the strongest diagnostic case in the article because the claim requires extracting a multi-panel visual mechanism, not just repeating the general review claim that ML helps molecular simulations." + }, + "notes": "" + }, + { + "case_id": "CASE-006", + "enabled": true, + "primary_endpoint": true, + "stratum": "multimodal_hard", + "paper_title": "Predicting Nucleation Using Machine Learning in the Ising Model", + "paper_id": "doi:10.1103/PhysRevE.103.033305", + "year": "2021", + "evidence_kind": "figure", + "page_hint": "Page 16, Figure 11; page 17, Figure 12. Page 11, Figure 5 is useful for the performance trend, and page 15, Figure 10 is a simpler control case for the occlusion-map interpretation.", + "creator_prompt": "Compare options A/B: which one more accurately uses Figures 11–12 to explain why CNN predictability decreases as the long-range Ising model approaches the spinodal: the occlusion-sensitive region becomes larger and less intense, while the density contrast between the nucleating droplet and the background decreases.", + "creator_rationale": "This is diagnostic for VLM difference because the main evidence requires linking several visual facts: Figure 11 shows the occlusion maps spreading outward and fading as (\\Delta h) decreases; the red circles mark increasing (R_g) values of the largest cluster; Figure 12a links radial occlusion sensitivity to droplet density profiles; and Figure 12b shows strong correlation between the radius of gyration of the sensitivity map and the largest percolation cluster. A baseline VLM may only say “prediction worsens near the spinodal” without grounding it in the occlusion-map evidence. A tuned VLM should preserve the visual-mechanistic linkage: approaching the spinodal makes the nucleating cluster more spatially extended, less sharply distinguishable from the background, and therefore harder for the CNN to identify.", + "review_focus": [ + "evidence", + "temporal" + ], + "expected_error_modes": [ + "wrong_evidence_linkage", + "needs_time_fix" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 11", + "candidate_predicate_contains": "occlusion sensitivity / predictability decreases", + "candidate_target_contains": "spinodal / nucleating droplet / background", + "hypothesis_title_contains": "predicting nucleation using machine learning in the Ising model", + "premise_contains": "CNN predictability decreases as the spinodal is approached", + "mechanism_contains": "vanishing density difference between the nucleating droplet and the background", + "time_scope_contains": "as (\\Delta h \\to 0) / approaching the spinodal", + "rank_hint": "High priority; this is the strongest diagnostic case because the article’s key explanatory claim depends on reading visual changes across a sequence of occlusion maps and linking them to the physical interpretation of spinodal nucleation." + }, + "notes": "" + }, + { + "case_id": "CASE-007", + "enabled": true, + "primary_endpoint": true, + "stratum": "multimodal_hard", + "paper_title": "Microscopic Structure of the Polymer-Induced Liquid Precursor for Calcium Carbonate", + "paper_id": "doi:10.1038/s41467-018-05006-w", + "year": "2018", + "evidence_kind": "mixed", + "page_hint": "Page 4, Figure 2; page 6, Figure 4; page 7, Figure 5; page 9, Figure 6. The strongest single visual anchor is Figure 2, especially panels 2a–f and 2g–k.", + "creator_prompt": "Compare options A/B: which one more accurately uses cryoTEM/tomography evidence in Figure 2, together with the NMR/physicochemical time-course in Figures 4–5, to decide whether “PILP” is a true liquid droplet phase or a polymer-driven assembly of ACC nanoparticles made from ~2 nm subunits?", + "creator_rationale": "This is diagnostic for VLM difference because the paper’s central correction to the PILP model is visual and multi-evidence. Figure 2 shows 30–50 nm ACC nanoparticles with ~2 nm nanoparticulate texture, aggregation into films, rough/irregular surfaces, ds-DNA protrusions, and even hollow particles—features that argue against homogeneous liquid droplets. Figures 4–5 add temporal and chemical linkage: changes near ~117 and ~157 min correspond to nucleation/crystallization events, while NMR/FTIR indicate polymer–ACC interaction and polymer release during crystallization. A baseline VLM may repeat the term “polymer-induced liquid precursor” literally and infer liquid droplets. A tuned VLM should preserve the contradiction between the name and the evidence: the precursor behaves liquid-like macroscopically but is microscopically a granular polymer/ACC nanoparticle assembly.", + "review_focus": [ + "visual_fact", + "temporal", + "overall" + ], + "expected_error_modes": [ + "wrong_evidence_linkage", + "needs_time_fix", + "hallucinated_visual_inference" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 2", + "candidate_predicate_contains": "polymer-induced liquid precursor / PILP is not liquid droplets", + "candidate_target_contains": "ACC nanoparticles / ~2 nm subunits / polymer-driven assembly", + "hypothesis_title_contains": "microscopic structure of the polymer-induced liquid precursor", + "premise_contains": "no liquid–liquid phase separation / no coalescence / nanoparticulate texture", + "mechanism_contains": "polymer-stabilized ACC clusters assemble into 30–50 nm nanoparticles", + "time_scope_contains": "early stages / during crystallization / 117 and 157 min", + "rank_hint": "High priority; this is a strong diagnostic case because the correct interpretation requires resisting the misleading terminology “liquid precursor” and instead linking cryoTEM morphology, tomography, NMR, FTIR, and time-resolved chemical data into one evidence-grounded mechanism." + }, + "notes": "" + }, + { + "case_id": "CASE-008", + "enabled": true, + "primary_endpoint": true, + "stratum": "temporal_hard", + "paper_title": "A classical view on nonclassical nucleation", + "paper_id": "doi:10.1073/pnas.1700342114", + "year": "2017", + "evidence_kind": "mixed", + "page_hint": "Page 4, Figures 3–4; page 6, Figure 7; page 7, Figures 8–9. The strongest diagnostic anchor is the sequence Figure 3 → Figure 4 → Figure 8 → Figure 9.", + "creator_prompt": "Compare options A/B: which one more accurately uses the time-resolved DLS/cryoTEM/FTIR evidence to distinguish the proposed pathway: prenucleation solution dominated by ions and ion pairs, then dense liquid phase formation around (0.90\\text{–}0.96,t_{\\sigma\\max}), followed by solid vaterite formation after about (0.96,t_{\\sigma\\max})?", + "creator_rationale": "This is diagnostic for VLM difference because the important claim is not a single textual conclusion but a temporally ordered evidence chain across several figures. Figure 3 shows the DLS count-rate increase and particle-size evolution near nucleation; Figure 4 shows cryoTEM evidence for round, low-contrast amorphous dense-liquid objects of roughly 200–400 nm; Figure 7 supports their high hydration level compared with solid ACC; Figure 8 shows later vaterite identification by POM/SEM/ATR-FTIR; and Figure 9 summarizes the proposed sequence. A baseline VLM may collapse this into “ACC or clusters form before calcite/vaterite” or confuse dense liquid droplets with stable prenucleation clusters. A tuned VLM should preserve the temporal grounding and evidence linkage: no stable nanometer PNCs are detected before nucleation; a hydrated dense liquid phase appears first; solid vaterite forms later.", + "review_focus": [ + "evidence", + "temporal" + ], + "expected_error_modes": [ + "needs_time_fix", + "hallucinated_visual_inference" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 9", + "candidate_predicate_contains": "dense liquid phase / liquid–liquid phase separation / vaterite", + "candidate_target_contains": "ion pairs / DLP / vaterite", + "hypothesis_title_contains": "classical view on nonclassical nucleation", + "premise_contains": "no prenucleation clusters / predominantly CaCO3 ion pairs", + "mechanism_contains": "liquid–liquid phase separation followed by vaterite formation", + "time_scope_contains": "(0.90,t_{\\sigma\\max}) / (0.96,t_{\\sigma\\max}) / (1.03,t_{\\sigma\\max})", + "rank_hint": "Medium priority; this is an excellent diagnostic case because the correct answer must track both multimodal evidence and temporal order, while also avoiding a common hallucination: treating the observed dense liquid phase as stable prenucleation clusters or as solid ACC." + }, + "notes": "" + }, + { + "case_id": "CASE-009", + "enabled": true, + "primary_endpoint": true, + "stratum": "temporal_hard", + "paper_title": "Nucleation and Growth: Decay of a Metastable State", + "paper_id": "doi:10.1103/PhysRevE.56.R21", + "year": "1997", + "evidence_kind": "figure", + "page_hint": "Page 2, Figure 1; page 3, Figures 2–3. The strongest diagnostic anchor is Figure 3, with Figure 2 providing the broader regime context.", + "creator_prompt": "Compare options A/B: which one more accurately uses Figures 2–3 to explain the time-ordered crossover from nucleation, to diffusive growth, to Ostwald ripening, including how (\\bar{R}(t)), (n(t)), (x(t)), (R_c(t)), and the droplet-size distribution change across the stages?", + "creator_rationale": "This is diagnostic for VLM difference because the important result is encoded in time-series plots and distribution-shape evolution, not only in the equations. Figure 2 shows how mean radius, droplet number density, and supersaturation depend differently on (x_0) and volume fraction (f), while eventually collapsing into late-stage behavior governed mainly by (f). Figure 3 shows the mechanistic crossover in detail: early critical-radius nucleation creates a narrow/asymmetric droplet distribution; small droplets dissolve; (n(t)) declines; (\\bar{R}(t)) develops kinks; (R_c(t)) crosses (\\bar{R}(t)); and the system transitions toward coarsening/ripening. A baseline VLM may flatten this into “droplets nucleate and then ripen” without tracking the temporal signatures or distribution changes. A tuned VLM should preserve the ordered linkage between curves, droplet distributions, and physical regimes.", + "review_focus": [ + "evidence", + "visual_fact" + ], + "expected_error_modes": [ + "missed_visual_fact", + "wrong_evidence_linkage" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 3", + "candidate_predicate_contains": "nucleation / diffusive growth / Ostwald ripening", + "candidate_target_contains": "(\\bar{R}(t)), (n(t)), (x(t)), (R_c(t)), droplet distribution", + "hypothesis_title_contains": "nucleation and growth decay of a metastable state", + "premise_contains": "crossover from initial nucleation to late stage Ostwald ripening", + "mechanism_contains": "overlapping diffusional fields / dissolution of small droplets / coarsening", + "time_scope_contains": "early nucleation regime / diffusive growth regime / ripening regime", + "rank_hint": "Medium priority; this is a strong diagnostic case because the correct interpretation requires reading temporal plot morphology and distribution evolution, especially the kinks and crossover behavior in Figure 3, rather than merely recognizing the general nucleation-to-ripening narrative." + }, + "notes": "" + }, + { + "case_id": "CASE-010", + "enabled": true, + "primary_endpoint": false, + "stratum": "easy_control", + "paper_title": "Density functional analysis of phenomenological theories of gas-liquid nucleation", + "paper_id": "doi:10.1021/j100009a049", + "year": "1995", + "evidence_kind": "figure", + "page_hint": "Page 4, Figures 1–2; page 5, Figures 3–5; page 7, Figures 7–8; page 9, Figures 9–12. The strongest diagnostic anchor is Figure 12, with Figures 9–11 needed to evaluate the diffuse-interface theory claim.", + "creator_prompt": "Compare options A/B: which one more accurately uses the density-functional plots to evaluate the phenomenological theories, especially whether the Dillmann–Meier and diffuse-interface models match the density-functional results only over limited ranges rather than being generally valid?", + "creator_rationale": "This is diagnostic for VLM difference because the main claim depends on comparing multiple plotted functions, not simply extracting a statement from the abstract. Figure 1 compares different routes for the size-dependent surface tension of stable (i)-clusters; Figure 2 shows that Tolman’s length is strongly size-dependent; Figures 3–5 distinguish good and bad parametrizations of the nucleation barrier; Figure 7 shows the modified Dillmann–Meier model matching DFT nucleation rates only in a supersaturation window; and Figure 12 shows the diffuse-interface surface-tension estimate overlapping the DFT result only over a restricted radius range. A baseline VLM may overgeneralize that the phenomenological models are “validated.” A tuned VLM should preserve the qualified conclusion: their empirical success is partly fortuitous and parameter/range dependent.", + "review_focus": [ + "visual_fact", + "overall" + ], + "expected_error_modes": [ + "wrong_evidence_linkage", + "hallucinated_visual_inference" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 12", + "candidate_predicate_contains": "surface tension / density functional theory / diffuse interface", + "candidate_target_contains": "stable (i)-clusters / phenomenological theories", + "hypothesis_title_contains": "density functional analysis of phenomenological theories", + "premise_contains": "success of these models is at least in part fortuitous", + "mechanism_contains": "size-dependent surface tension / curvature corrections / limited overlap with DFT", + "time_scope_contains": "cluster size / supersaturation range / temperature range", + "rank_hint": "Low priority; a good diagnostic case because the correct answer must compare visual trends across several figures and avoid turning a limited-range agreement into a general validation of the phenomenological theories." + }, + "notes": "" + }, + { + "case_id": "CASE-011", + "enabled": true, + "primary_endpoint": true, + "stratum": "temporal_hard", + "paper_title": "Nonisothermal Nucleation in the Gas Phase Is Driven by Cool Subcritical Clusters", + "paper_id": "doi:10.1073/pnas.2201955119", + "year": "2022", + "evidence_kind": "figure", + "page_hint": "Page 5, Figure 4; page 4, Figure 3; page 3, Figure 2. The strongest diagnostic anchor is Figure 4A–B.", + "creator_prompt": "Compare options A/B: which one more accurately uses Figure 4 to explain the difference between the temperature of the entire cluster population and the temperature of the specific clusters that carry the nucleation flux, especially the transition from cool subcritical clusters to near-equilibrium critical clusters to hot supercritical clusters?", + "creator_rationale": "This is diagnostic for VLM difference because the key claim is a subtle visual distinction between two populations plotted on the same axes. Figure 4A shows that the entire cluster population is generally warmer than the bath, while the nucleating clusters are cooler than the bath when subcritical, cross (\\Delta T = 0) near the critical size, and become warmer after passing the barrier. Figure 4B links this to a nonisothermal growth path on the free-energy surface that deviates from the isothermal minimum path but crosses it at the saddle point / critical cluster. A baseline VLM may simply say “clusters heat up because latent heat is released” or “critical clusters are hotter,” missing the population distinction. A tuned VLM should preserve the evidence linkage: nucleation is driven by a selected subset of cooler subcritical clusters, even though the average over all clusters is elevated.", + "review_focus": [ + "temporal", + "overall" + ], + "expected_error_modes": [ + "needs_time_fix", + "hallucinated_visual_inference" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 4", + "candidate_predicate_contains": "cool subcritical clusters / temperature deviation", + "candidate_target_contains": "nucleating clusters / entire population / critical clusters", + "hypothesis_title_contains": "nonisothermal nucleation in the gas phase", + "premise_contains": "temperatures of the specific clusters driving the nucleation flux evolve from cold to hot", + "mechanism_contains": "nonisothermal growth path / latent heat release / thermalization by carrier gas", + "time_scope_contains": "subcritical to critical to supercritical cluster sizes", + "rank_hint": "Medium priority; this is an excellent diagnostic case because the correct interpretation depends on separating visually similar but conceptually different data series and preserving the temporal/pathway grounding from subcritical growth through the critical saddle point." + }, + "notes": "" + }, + { + "case_id": "CASE-012", + "enabled": true, + "primary_endpoint": true, + "stratum": "multimodal_hard", + "paper_title": "Homogeneous Water Nucleation: Experimental Study on Pressure and Carrier Gas Effects", + "paper_id": "doi:10.1063/5.0021477", + "year": "2020", + "evidence_kind": "figure_or_table", + "page_hint": "Page 8, Figures 6–7; page 9, Figure 8; page 10, Figures 9–10; later discussion around Figure 11 and Table I. The strongest diagnostic anchor is Figure 11/Table I for high-pressure adsorption effects, with Figure 2 and Figure 13/Table II useful for low-pressure non-isothermal thermalization effects.", + "creator_prompt": "Compare options A/B: which one more accurately uses the J–S plots and pressure/carrier-gas comparisons to distinguish two mechanisms: high-pressure nucleation-rate enhancement caused mainly by surface-tension reduction from carrier-gas adsorption, versus low-pressure nucleation-rate reduction caused by insufficient thermalization of growing clusters?", + "creator_rationale": "This is diagnostic for VLM difference because the article’s core claim requires separating pressure regimes and carrier-gas mechanisms. Figures 6–7 show how the measured (J(S)) curves shift with pressure and carrier gas; Figure 8 checks that the experimental critical-cluster sizes remain reasonably consistent with Gibbs–Thomson/CNT slopes; Figure 10 shows the empirical correction reproducing multiple gases and pressures; and Figure 11/Table I link high-pressure (J) enhancement to predicted surface-tension reduction for Ar and N(_2), relative to He. A baseline VLM may collapse everything into a generic “carrier gas increases nucleation” statement. A tuned VLM should preserve the regime-specific linkage: at high pressure, adsorption lowers water surface tension and enhances (J); at low pressure, lack of thermalization suppresses (J), with the effect depending on carrier gas and temperature.", + "review_focus": [ + "visual_fact", + "temporal" + ], + "expected_error_modes": [ + "wrong_evidence_linkage", + "needs_time_fix" + ], + "match": { + "candidate_signature": "", + "candidate_source_contains": "Figure 11", + "candidate_predicate_contains": "pressure effect / carrier gas adsorption / non-isothermal effects", + "candidate_target_contains": "water–argon / water–nitrogen / water–helium", + "hypothesis_title_contains": "homogeneous water nucleation pressure and carrier gas effects", + "premise_contains": "surface tension reduction at high pressure enhances nucleation rate", + "mechanism_contains": "carrier gas adsorption / thermalization by collisions / non-isothermal nucleation", + "time_scope_contains": "low pressure versus high pressure / 0.1 MPa versus 1–2 MPa / 220–260 K", + "rank_hint": "High priority; this is a strong diagnostic case because the correct interpretation requires reading multiple J–S curves and tables while keeping two competing mechanisms separated by pressure regime." + }, + "notes": "" + } + ] +}