Eric03 commited on
Commit
ef02ca0
·
verified ·
1 Parent(s): 0eec30b

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. 2007.11762/record.json +32 -0
  2. 2008.06662/record.json +32 -0
  3. 2101.09429/record.json +32 -0
  4. 2104.00322/record.json +32 -0
  5. 2104.03149/record.json +32 -0
  6. 2104.05938/record.json +32 -0
  7. 2105.04241/record.json +32 -0
  8. 2105.14804/record.json +32 -0
  9. 2106.03477/record.json +32 -0
  10. 2106.09431/record.json +32 -0
  11. 2106.12151/record.json +32 -0
  12. 2106.15004/record.json +32 -0
  13. 2108.09645/record.json +32 -0
  14. 2109.07983/record.json +32 -0
  15. 2110.08499/record.json +32 -0
  16. 2111.13131/record.json +32 -0
  17. 2112.07337/record.json +32 -0
  18. 2202.05343/record.json +32 -0
  19. 2203.06345/record.json +32 -0
  20. 2204.07258/record.json +32 -0
  21. 2205.06457/record.json +32 -0
  22. 2205.13928/record.json +32 -0
  23. 2205.15674/record.json +32 -0
  24. 2206.02386/record.json +32 -0
  25. 2206.03966/record.json +32 -0
  26. 2206.07083/record.json +32 -0
  27. 2208.10547/record.json +32 -0
  28. 2209.11904/record.json +32 -0
  29. 2209.15159/record.json +32 -0
  30. 2211.02922/record.json +32 -0
  31. 2211.16199/record.json +32 -0
  32. 2212.10511/record.json +32 -0
  33. 2303.01502/record.json +32 -0
  34. 2303.09706/record.json +32 -0
  35. 2303.11162/record.json +32 -0
  36. 2303.11610/record.json +32 -0
  37. 2304.03560/record.json +32 -0
  38. 2305.06164/record.json +32 -0
  39. 2305.13871/record.json +32 -0
  40. 2306.00751/record.json +32 -0
  41. 2306.05609/record.json +32 -0
  42. 2308.12587/record.json +32 -0
  43. 2309.07875/record.json +32 -0
  44. 2309.08138/record.json +32 -0
  45. 2310.02226/record.json +32 -0
  46. 2310.04475/record.json +32 -0
  47. 2310.08571/record.json +32 -0
  48. 2310.10378/record.json +32 -0
  49. 2310.12803/record.json +32 -0
  50. 2311.08360/record.json +32 -0
2007.11762/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2007.11762",
3
+ "month": "2020_07",
4
+ "year": 2020,
5
+ "conference": "ECCV",
6
+ "title": "All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling",
7
+ "arxiv_url": "https://arxiv.org/abs/2007.11762",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.11762",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/tex_files_extracted/2007.11762",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.11762/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.11762/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.11762/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.11762/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.11762/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.11762/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.11762/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.11762/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.11762/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2008.06662/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2008.06662",
3
+ "month": "2020_08",
4
+ "year": 2020,
5
+ "conference": "NEURIPS",
6
+ "title": "Compositional Generalization via Neural-Symbolic Stack Machines",
7
+ "arxiv_url": "https://arxiv.org/abs/2008.06662",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.06662",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/tex_files_extracted/2008.06662",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.06662/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.06662/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.06662/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2008.06662/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2008.06662/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2008.06662/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2008.06662/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2008.06662/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2008.06662/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "ok",
26
+ "copy_png": "ok",
27
+ "diagram_pdf": "ok",
28
+ "intro_method": "ok",
29
+ "paper_pdf": "ok",
30
+ "latex": "ok"
31
+ }
32
+ }
2101.09429/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2101.09429",
3
+ "month": "2021_01",
4
+ "year": 2024,
5
+ "conference": "AAAI",
6
+ "title": "Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract)",
7
+ "arxiv_url": "https://arxiv.org/abs/2101.09429",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.09429",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/tex_files_extracted/2101.09429",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.09429/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.09429/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_01/main_diagram_database/2101.09429/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.09429/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.09429/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.09429/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.09429/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.09429/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2101.09429/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2104.00322/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2104.00322",
3
+ "month": "2021_04",
4
+ "year": 2021,
5
+ "conference": "CVPR",
6
+ "title": "Adversarial Invariant Learning",
7
+ "arxiv_url": "https://arxiv.org/abs/2104.00322",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00322",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.00322",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00322/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00322/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00322/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00322/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00322/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00322/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00322/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00322/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00322/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2104.03149/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2104.03149",
3
+ "month": "2021_04",
4
+ "year": 2021,
5
+ "conference": "ICCV",
6
+ "title": "Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering",
7
+ "arxiv_url": "https://arxiv.org/abs/2104.03149",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.03149",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.03149",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.03149/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.03149/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.03149/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.03149/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.03149/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.03149/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.03149/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.03149/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.03149/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2104.05938/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2104.05938",
3
+ "month": "2021_04",
4
+ "year": 2021,
5
+ "conference": "NAACL",
6
+ "title": "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization",
7
+ "arxiv_url": "https://arxiv.org/abs/2104.05938",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.05938",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.05938",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.05938/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.05938/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.05938/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.05938/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.05938/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.05938/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.05938/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.05938/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.05938/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2105.04241/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2105.04241",
3
+ "month": "2021_05",
4
+ "year": 2021,
5
+ "conference": "NAACL",
6
+ "title": "ReadTwice: Reading Very Large Documents with Memories",
7
+ "arxiv_url": "https://arxiv.org/abs/2105.04241",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04241",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.04241",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04241/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04241/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04241/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04241/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04241/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04241/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04241/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04241/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.04241/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2105.14804/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2105.14804",
3
+ "month": "2021_05",
4
+ "year": 2021,
5
+ "conference": "CVPR",
6
+ "title": "Scene-Aware Generative Network for Human Motion Synthesis",
7
+ "arxiv_url": "https://arxiv.org/abs/2105.14804",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.14804",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.14804",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.14804/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.14804/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.14804/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.14804/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.14804/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.14804/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.14804/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.14804/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.14804/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2106.03477/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2106.03477",
3
+ "month": "2021_06",
4
+ "year": 2021,
5
+ "conference": "NEURIPS",
6
+ "title": "BayesIMP: Uncertainty Quantification for Causal Data Fusion",
7
+ "arxiv_url": "https://arxiv.org/abs/2106.03477",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03477",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.03477",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03477/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03477/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.03477/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03477/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03477/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03477/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03477/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03477/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.03477/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "ok",
26
+ "copy_png": "ok",
27
+ "diagram_pdf": "ok",
28
+ "intro_method": "ok",
29
+ "paper_pdf": "ok",
30
+ "latex": "ok"
31
+ }
32
+ }
2106.09431/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2106.09431",
3
+ "month": "2021_06",
4
+ "year": 2021,
5
+ "conference": "CVPR",
6
+ "title": "NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go",
7
+ "arxiv_url": "https://arxiv.org/abs/2106.09431",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09431",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.09431",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09431/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09431/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09431/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09431/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09431/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09431/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09431/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09431/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.09431/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2106.12151/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2106.12151",
3
+ "month": "2021_06",
4
+ "year": 2021,
5
+ "conference": "NEURIPS",
6
+ "title": "Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark",
7
+ "arxiv_url": "https://arxiv.org/abs/2106.12151",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.12151",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.12151",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.12151/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.12151/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.12151/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.12151/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.12151/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.12151/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.12151/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.12151/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.12151/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2106.15004/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2106.15004",
3
+ "month": "2021_06",
4
+ "year": 2023,
5
+ "conference": "ICCV",
6
+ "title": "Sparse Instance Conditioned Multimodal Trajectory Prediction",
7
+ "arxiv_url": "https://arxiv.org/abs/2106.15004",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.15004",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.15004",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.15004/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.15004/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.15004/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.15004/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.15004/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.15004/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.15004/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.15004/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.15004/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2108.09645/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2108.09645",
3
+ "month": "2021_08",
4
+ "year": 2022,
5
+ "conference": "ICML",
6
+ "title": "Improving Mini-batch Optimal Transport via Partial Transportation",
7
+ "arxiv_url": "https://arxiv.org/abs/2108.09645",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.09645",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.09645",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.09645/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.09645/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.09645/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.09645/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.09645/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.09645/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.09645/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.09645/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2108.09645/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2109.07983/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2109.07983",
3
+ "month": "2021_09",
4
+ "year": 2022,
5
+ "conference": "EMNLP",
6
+ "title": "Let the CAT out of the bag: Contrastive Attributed explanations for Text",
7
+ "arxiv_url": "https://arxiv.org/abs/2109.07983",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.07983",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.07983",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.07983/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.07983/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.07983/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.07983/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.07983/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.07983/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.07983/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.07983/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.07983/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2110.08499/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2110.08499",
3
+ "month": "2021_10",
4
+ "year": 2022,
5
+ "conference": "ACL",
6
+ "title": "PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization",
7
+ "arxiv_url": "https://arxiv.org/abs/2110.08499",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.08499",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.08499",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.08499/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.08499/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.08499/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.08499/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.08499/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.08499/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.08499/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.08499/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.08499/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2111.13131/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2111.13131",
3
+ "month": "2021_11",
4
+ "year": 2021,
5
+ "conference": "ICCV",
6
+ "title": "Context-Aware Scene Graph Generation With Seq2Seq Transformers",
7
+ "arxiv_url": "https://arxiv.org/abs/2111.13131",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.13131",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.13131",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.13131/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.13131/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.13131/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.13131/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.13131/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.13131/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.13131/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.13131/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.13131/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2112.07337/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2112.07337",
3
+ "month": "2021_12",
4
+ "year": 2023,
5
+ "conference": "ACL",
6
+ "title": "Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering",
7
+ "arxiv_url": "https://arxiv.org/abs/2112.07337",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.07337",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.07337",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.07337/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.07337/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.07337/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07337/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07337/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07337/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07337/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07337/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.07337/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2202.05343/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2202.05343",
3
+ "month": "2022_02",
4
+ "year": 2022,
5
+ "conference": "NEURIPS",
6
+ "title": "Towards Disentangling Information Paths with Coded ResNeXt",
7
+ "arxiv_url": "https://arxiv.org/abs/2202.05343",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.05343",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/tex_files_extracted/2202.05343",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.05343/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.05343/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.05343/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.05343/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.05343/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.05343/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.05343/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.05343/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.05343/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2203.06345/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.06345",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "CVPR",
6
+ "title": "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.06345",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06345",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.06345",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06345/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06345/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06345/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06345/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06345/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06345/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06345/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06345/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06345/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2204.07258/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2204.07258",
3
+ "month": "2022_04",
4
+ "year": 2022,
5
+ "conference": "ICML",
6
+ "title": "Causal Transformer for Estimating Counterfactual Outcomes",
7
+ "arxiv_url": "https://arxiv.org/abs/2204.07258",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.07258",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/tex_files_extracted/2204.07258",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.07258/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.07258/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.07258/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.07258/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.07258/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.07258/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.07258/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.07258/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.07258/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2205.06457/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2205.06457",
3
+ "month": "2022_05",
4
+ "year": 2022,
5
+ "conference": "NAACL",
6
+ "title": "ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation",
7
+ "arxiv_url": "https://arxiv.org/abs/2205.06457",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.06457",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/tex_files_extracted/2205.06457",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.06457/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.06457/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.06457/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.06457/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.06457/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.06457/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.06457/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.06457/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.06457/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2205.13928/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2205.13928",
3
+ "month": "2022_05",
4
+ "year": 2022,
5
+ "conference": "NAACL",
6
+ "title": "Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation",
7
+ "arxiv_url": "https://arxiv.org/abs/2205.13928",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.13928",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/tex_files_extracted/2205.13928",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.13928/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.13928/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.13928/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.13928/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.13928/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.13928/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.13928/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.13928/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.13928/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2205.15674/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2205.15674",
3
+ "month": "2022_05",
4
+ "year": 2025,
5
+ "conference": "CVPR",
6
+ "title": "MIRE: Matched Implicit Neural Representations",
7
+ "arxiv_url": "https://arxiv.org/abs/2205.15674",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.15674",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/tex_files_extracted/2205.15674",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.15674/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.15674/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.15674/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.15674/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.15674/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.15674/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.15674/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.15674/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2205.15674/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2206.02386/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2206.02386",
3
+ "month": "2022_06",
4
+ "year": 2023,
5
+ "conference": "AAAI",
6
+ "title": "Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering",
7
+ "arxiv_url": "https://arxiv.org/abs/2206.02386",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.02386",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/tex_files_extracted/2206.02386",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.02386/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.02386/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.02386/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.02386/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.02386/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.02386/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.02386/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.02386/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.02386/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2206.03966/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2206.03966",
3
+ "month": "2022_06",
4
+ "year": 2023,
5
+ "conference": "ICLR",
6
+ "title": "FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization",
7
+ "arxiv_url": "https://arxiv.org/abs/2206.03966",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.03966",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/tex_files_extracted/2206.03966",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.03966/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.03966/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.03966/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.03966/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.03966/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.03966/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.03966/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.03966/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.03966/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2206.07083/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2206.07083",
3
+ "month": "2022_06",
4
+ "year": 2022,
5
+ "conference": "NEURIPS",
6
+ "title": "Learning the Structure of Large Networked Systems Obeying Conservation Laws",
7
+ "arxiv_url": "https://arxiv.org/abs/2206.07083",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.07083",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/tex_files_extracted/2206.07083",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.07083/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.07083/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_06/main_diagram_database/2206.07083/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.07083/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.07083/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.07083/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.07083/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.07083/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2206.07083/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2208.10547/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2208.10547",
3
+ "month": "2022_08",
4
+ "year": 2023,
5
+ "conference": "AAAI",
6
+ "title": "InstanceFormer: An Online Video Instance Segmentation Framework",
7
+ "arxiv_url": "https://arxiv.org/abs/2208.10547",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/main_diagram_database/2208.10547",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/tex_files_extracted/2208.10547",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/main_diagram_database/2208.10547/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/main_diagram_database/2208.10547/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/main_diagram_database/2208.10547/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2208.10547/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2208.10547/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2208.10547/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2208.10547/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2208.10547/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2208.10547/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2209.11904/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2209.11904",
3
+ "month": "2022_09",
4
+ "year": 2022,
5
+ "conference": "NEURIPS",
6
+ "title": "CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference",
7
+ "arxiv_url": "https://arxiv.org/abs/2209.11904",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/main_diagram_database/2209.11904",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/tex_files_extracted/2209.11904",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/main_diagram_database/2209.11904/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/main_diagram_database/2209.11904/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/main_diagram_database/2209.11904/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.11904/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.11904/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.11904/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.11904/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.11904/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.11904/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2209.15159/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2209.15159",
3
+ "month": "2022_09",
4
+ "year": 2023,
5
+ "conference": "ICLR",
6
+ "title": "MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features",
7
+ "arxiv_url": "https://arxiv.org/abs/2209.15159",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/main_diagram_database/2209.15159",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/tex_files_extracted/2209.15159",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/main_diagram_database/2209.15159/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/main_diagram_database/2209.15159/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_09/main_diagram_database/2209.15159/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.15159/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.15159/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.15159/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.15159/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.15159/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2209.15159/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2211.02922/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2211.02922",
3
+ "month": "2022_11",
4
+ "year": 2021,
5
+ "conference": "AAAI",
6
+ "title": "Attentive Neural Point Processes for Event Forecasting",
7
+ "arxiv_url": "https://arxiv.org/abs/2211.02922",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/main_diagram_database/2211.02922",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/tex_files_extracted/2211.02922",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/main_diagram_database/2211.02922/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/main_diagram_database/2211.02922/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/main_diagram_database/2211.02922/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.02922/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.02922/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.02922/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.02922/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.02922/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.02922/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2211.16199/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2211.16199",
3
+ "month": "2022_11",
4
+ "year": 2023,
5
+ "conference": "ICLR",
6
+ "title": "Latent Graph Inference using Product Manifolds",
7
+ "arxiv_url": "https://arxiv.org/abs/2211.16199",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/main_diagram_database/2211.16199",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/tex_files_extracted/2211.16199",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/main_diagram_database/2211.16199/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/main_diagram_database/2211.16199/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_11/main_diagram_database/2211.16199/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.16199/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.16199/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.16199/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.16199/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.16199/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2211.16199/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2212.10511/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2212.10511",
3
+ "month": "2022_12",
4
+ "year": 2023,
5
+ "conference": "ACL",
6
+ "title": "When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories",
7
+ "arxiv_url": "https://arxiv.org/abs/2212.10511",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/main_diagram_database/2212.10511",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/tex_files_extracted/2212.10511",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/main_diagram_database/2212.10511/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/main_diagram_database/2212.10511/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/main_diagram_database/2212.10511/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2212.10511/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2212.10511/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2212.10511/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2212.10511/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2212.10511/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2212.10511/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2303.01502/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2303.01502",
3
+ "month": "2023_03",
4
+ "year": 2023,
5
+ "conference": "ICLR",
6
+ "title": "Computational Language Acquisition with Theory of Mind",
7
+ "arxiv_url": "https://arxiv.org/abs/2303.01502",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.01502",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/tex_files_extracted/2303.01502",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.01502/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.01502/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.01502/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.01502/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.01502/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.01502/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.01502/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.01502/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.01502/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2303.09706/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2303.09706",
3
+ "month": "2023_03",
4
+ "year": 2023,
5
+ "conference": "ICCV",
6
+ "title": "Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding",
7
+ "arxiv_url": "https://arxiv.org/abs/2303.09706",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.09706",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/tex_files_extracted/2303.09706",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.09706/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.09706/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.09706/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.09706/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.09706/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.09706/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.09706/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.09706/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.09706/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2303.11162/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2303.11162",
3
+ "month": "2023_03",
4
+ "year": 2023,
5
+ "conference": "CVPR",
6
+ "title": "Picture That Sketch: Photorealistic Image Generation From Abstract Sketches",
7
+ "arxiv_url": "https://arxiv.org/abs/2303.11162",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.11162",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/tex_files_extracted/2303.11162",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.11162/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.11162/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.11162/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11162/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11162/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11162/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11162/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11162/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11162/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2303.11610/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2303.11610",
3
+ "month": "2023_03",
4
+ "year": 2023,
5
+ "conference": "CVPR",
6
+ "title": "Novel Class Discovery for 3D Point Cloud Semantic Segmentation",
7
+ "arxiv_url": "https://arxiv.org/abs/2303.11610",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.11610",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/tex_files_extracted/2303.11610",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.11610/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.11610/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_03/main_diagram_database/2303.11610/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11610/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11610/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11610/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11610/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11610/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2303.11610/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2304.03560/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2304.03560",
3
+ "month": "2023_04",
4
+ "year": 2023,
5
+ "conference": "CVPR",
6
+ "title": "DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium",
7
+ "arxiv_url": "https://arxiv.org/abs/2304.03560",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_04/main_diagram_database/2304.03560",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_04/tex_files_extracted/2304.03560",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_04/main_diagram_database/2304.03560/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_04/main_diagram_database/2304.03560/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_04/main_diagram_database/2304.03560/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2304.03560/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2304.03560/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2304.03560/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2304.03560/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2304.03560/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2304.03560/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2305.06164/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2305.06164",
3
+ "month": "2023_05",
4
+ "year": 2023,
5
+ "conference": "EMNLP",
6
+ "title": "Conversational Semantic Parsing using Dynamic Context Graphs",
7
+ "arxiv_url": "https://arxiv.org/abs/2305.06164",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/main_diagram_database/2305.06164",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/tex_files_extracted/2305.06164",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/main_diagram_database/2305.06164/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/main_diagram_database/2305.06164/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/main_diagram_database/2305.06164/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.06164/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.06164/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.06164/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.06164/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.06164/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.06164/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2305.13871/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2305.13871",
3
+ "month": "2023_05",
4
+ "year": 2023,
5
+ "conference": "IJCAI",
6
+ "title": "Improving Heterogeneous Model Reuse by Density Estimation",
7
+ "arxiv_url": "https://arxiv.org/abs/2305.13871",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/main_diagram_database/2305.13871",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/tex_files_extracted/2305.13871",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/main_diagram_database/2305.13871/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/main_diagram_database/2305.13871/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_05/main_diagram_database/2305.13871/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.13871/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.13871/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.13871/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.13871/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.13871/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2305.13871/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2306.00751/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2306.00751",
3
+ "month": "2023_06",
4
+ "year": 2023,
5
+ "conference": "ICML",
6
+ "title": "Differentiable Tree Operations Promote Compositional Generalization",
7
+ "arxiv_url": "https://arxiv.org/abs/2306.00751",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.00751",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/tex_files_extracted/2306.00751",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.00751/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.00751/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.00751/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.00751/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.00751/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.00751/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.00751/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.00751/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.00751/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2306.05609/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2306.05609",
3
+ "month": "2023_06",
4
+ "year": 2023,
5
+ "conference": "ACL",
6
+ "title": "Word sense extension",
7
+ "arxiv_url": "https://arxiv.org/abs/2306.05609",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.05609",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/tex_files_extracted/2306.05609",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.05609/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.05609/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_06/main_diagram_database/2306.05609/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.05609/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.05609/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.05609/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.05609/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.05609/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2306.05609/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2308.12587/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2308.12587",
3
+ "month": "2023_08",
4
+ "year": 2023,
5
+ "conference": "ICCV",
6
+ "title": "Grounded Entity-Landmark Adaptive Pre-Training for Vision-and-Language Navigation",
7
+ "arxiv_url": "https://arxiv.org/abs/2308.12587",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/main_diagram_database/2308.12587",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/tex_files_extracted/2308.12587",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/main_diagram_database/2308.12587/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/main_diagram_database/2308.12587/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_08/main_diagram_database/2308.12587/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2308.12587/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2308.12587/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2308.12587/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2308.12587/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2308.12587/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2308.12587/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "ok",
26
+ "copy_png": "ok",
27
+ "diagram_pdf": "ok",
28
+ "intro_method": "ok",
29
+ "paper_pdf": "ok",
30
+ "latex": "ok"
31
+ }
32
+ }
2309.07875/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2309.07875",
3
+ "month": "2023_09",
4
+ "year": 2024,
5
+ "conference": "ICLR",
6
+ "title": "Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions",
7
+ "arxiv_url": "https://arxiv.org/abs/2309.07875",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.07875",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/tex_files_extracted/2309.07875",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.07875/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.07875/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.07875/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.07875/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.07875/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.07875/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.07875/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.07875/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.07875/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2309.08138/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2309.08138",
3
+ "month": "2023_09",
4
+ "year": 2023,
5
+ "conference": "NEURIPS",
6
+ "title": "Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation",
7
+ "arxiv_url": "https://arxiv.org/abs/2309.08138",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.08138",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/tex_files_extracted/2309.08138",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.08138/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.08138/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_09/main_diagram_database/2309.08138/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.08138/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.08138/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.08138/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.08138/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.08138/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2309.08138/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2310.02226/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2310.02226",
3
+ "month": "2023_10",
4
+ "year": 2024,
5
+ "conference": "ICLR",
6
+ "title": "Think before you speak: Training Language Models With Pause Tokens",
7
+ "arxiv_url": "https://arxiv.org/abs/2310.02226",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.02226",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/tex_files_extracted/2310.02226",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.02226/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.02226/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.02226/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.02226/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.02226/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.02226/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.02226/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.02226/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.02226/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2310.04475/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2310.04475",
3
+ "month": "2023_10",
4
+ "year": 2024,
5
+ "conference": "ICLR",
6
+ "title": "Demystifying Embedding Spaces using Large Language Models",
7
+ "arxiv_url": "https://arxiv.org/abs/2310.04475",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.04475",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/tex_files_extracted/2310.04475",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.04475/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.04475/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.04475/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.04475/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.04475/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.04475/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.04475/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.04475/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.04475/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2310.08571/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2310.08571",
3
+ "month": "2023_10",
4
+ "year": 2023,
5
+ "conference": "NEURIPS",
6
+ "title": "Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders",
7
+ "arxiv_url": "https://arxiv.org/abs/2310.08571",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.08571",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/tex_files_extracted/2310.08571",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.08571/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.08571/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.08571/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.08571/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.08571/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.08571/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.08571/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.08571/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.08571/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2310.10378/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2310.10378",
3
+ "month": "2023_10",
4
+ "year": 2023,
5
+ "conference": "EMNLP",
6
+ "title": "Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models",
7
+ "arxiv_url": "https://arxiv.org/abs/2310.10378",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.10378",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/tex_files_extracted/2310.10378",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.10378/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.10378/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.10378/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.10378/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.10378/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.10378/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.10378/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.10378/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.10378/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "ok",
26
+ "copy_png": "ok",
27
+ "diagram_pdf": "ok",
28
+ "intro_method": "ok",
29
+ "paper_pdf": "ok",
30
+ "latex": "ok"
31
+ }
32
+ }
2310.12803/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2310.12803",
3
+ "month": "2023_10",
4
+ "year": 2023,
5
+ "conference": "NEURIPS",
6
+ "title": "Data Augmentations for Improved (Large) Language Model Generalization",
7
+ "arxiv_url": "https://arxiv.org/abs/2310.12803",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.12803",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/tex_files_extracted/2310.12803",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.12803/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.12803/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_10/main_diagram_database/2310.12803/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.12803/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.12803/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.12803/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.12803/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.12803/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2310.12803/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }
2311.08360/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2311.08360",
3
+ "month": "2023_11",
4
+ "year": 2023,
5
+ "conference": "NEURIPS",
6
+ "title": "The Transient Nature of Emergent In-Context Learning in Transformers",
7
+ "arxiv_url": "https://arxiv.org/abs/2311.08360",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_11/main_diagram_database/2311.08360",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_11/tex_files_extracted/2311.08360",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_11/main_diagram_database/2311.08360/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_11/main_diagram_database/2311.08360/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_11/main_diagram_database/2311.08360/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2311.08360/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2311.08360/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2311.08360/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2311.08360/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2311.08360/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2311.08360/latex_source"
23
+ },
24
+ "status": {
25
+ "copy_drawio": "exists",
26
+ "copy_png": "exists",
27
+ "diagram_pdf": "pdf_exists",
28
+ "intro_method": "exists",
29
+ "paper_pdf": "exists",
30
+ "latex": "exists"
31
+ }
32
+ }