Eric03 commited on
Commit
4589fa3
·
verified ·
1 Parent(s): b5b75c5

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. 2004.02958/record.json +32 -0
  2. 2004.10353/record.json +32 -0
  3. 2004.14243/record.json +32 -0
  4. 2006.08228/record.json +32 -0
  5. 2007.07670/record.json +32 -0
  6. 2007.13143/record.json +32 -0
  7. 2010.02696/record.json +32 -0
  8. 2010.08258/record.json +32 -0
  9. 2011.03017/record.json +32 -0
  10. 2103.16886/record.json +32 -0
  11. 2104.00380/record.json +32 -0
  12. 2104.07058/record.json +32 -0
  13. 2105.08997/record.json +32 -0
  14. 2105.09803/record.json +32 -0
  15. 2106.01425/record.json +32 -0
  16. 2106.13948/record.json +32 -0
  17. 2107.01396/record.json +32 -0
  18. 2109.04518/record.json +32 -0
  19. 2109.04712/record.json +32 -0
  20. 2109.05361/record.json +32 -0
  21. 2109.11593/record.json +32 -0
  22. 2110.05055/record.json +32 -0
  23. 2110.05419/record.json +32 -0
  24. 2111.00295/record.json +32 -0
  25. 2111.09639/record.json +32 -0
  26. 2111.15097/record.json +32 -0
  27. 2112.00712/record.json +32 -0
  28. 2112.03002/record.json +32 -0
  29. 2112.03258/record.json +32 -0
  30. 2112.05883/record.json +32 -0
  31. 2112.06598/record.json +32 -0
  32. 2201.01155/record.json +32 -0
  33. 2201.07745/record.json +32 -0
  34. 2201.11945/record.json +32 -0
  35. 2201.12126/record.json +32 -0
  36. 2201.12426/record.json +32 -0
  37. 2202.03101/record.json +32 -0
  38. 2202.06200/record.json +32 -0
  39. 2202.08205/record.json +32 -0
  40. 2203.00048/record.json +32 -0
  41. 2203.00725/record.json +32 -0
  42. 2203.03014/record.json +32 -0
  43. 2203.03079/record.json +32 -0
  44. 2203.06107/record.json +32 -0
  45. 2203.06835/record.json +32 -0
  46. 2203.12892/record.json +32 -0
  47. 2203.13097/record.json +32 -0
  48. 2203.15065/record.json +32 -0
  49. 2204.06355/record.json +32 -0
  50. 2204.09890/record.json +32 -0
2004.02958/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2004.02958",
3
+ "month": "2020_04",
4
+ "year": 2020,
5
+ "conference": "ICLR",
6
+ "title": "TSInsight: A local-global attribution framework for interpretability in time-series data",
7
+ "arxiv_url": "https://arxiv.org/abs/2004.02958",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.02958",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/tex_files_extracted/2004.02958",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.02958/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.02958/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.02958/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.02958/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.02958/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.02958/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.02958/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.02958/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.02958/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
+ }
2004.10353/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2004.10353",
3
+ "month": "2020_04",
4
+ "year": 2020,
5
+ "conference": "ACL",
6
+ "title": "Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi",
7
+ "arxiv_url": "https://arxiv.org/abs/2004.10353",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.10353",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/tex_files_extracted/2004.10353",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.10353/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.10353/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.10353/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.10353/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.10353/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.10353/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.10353/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.10353/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.10353/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
+ }
2004.14243/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2004.14243",
3
+ "month": "2020_04",
4
+ "year": 2020,
5
+ "conference": "ACL",
6
+ "title": "Towards Transparent and Explainable Attention Models",
7
+ "arxiv_url": "https://arxiv.org/abs/2004.14243",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.14243",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/tex_files_extracted/2004.14243",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.14243/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.14243/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_04/main_diagram_database/2004.14243/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.14243/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.14243/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.14243/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.14243/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.14243/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2004.14243/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
+ }
2006.08228/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2006.08228",
3
+ "month": "2020_06",
4
+ "year": 2020,
5
+ "conference": "ICML",
6
+ "title": "Finding trainable sparse networks through Neural Tangent Transfer",
7
+ "arxiv_url": "https://arxiv.org/abs/2006.08228",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.08228",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/tex_files_extracted/2006.08228",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.08228/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.08228/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.08228/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.08228/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.08228/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.08228/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.08228/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.08228/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.08228/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
+ }
2007.07670/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2007.07670",
3
+ "month": "2020_07",
4
+ "year": 2020,
5
+ "conference": "IJCAI",
6
+ "title": "Logic Constrained Pointer Networks for Interpretable Textual Similarity",
7
+ "arxiv_url": "https://arxiv.org/abs/2007.07670",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.07670",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/tex_files_extracted/2007.07670",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.07670/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.07670/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.07670/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.07670/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.07670/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.07670/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.07670/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.07670/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.07670/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
+ }
2007.13143/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2007.13143",
3
+ "month": "2020_07",
4
+ "year": 2020,
5
+ "conference": "ECCV",
6
+ "title": "Challenge-Aware RGBT Tracking",
7
+ "arxiv_url": "https://arxiv.org/abs/2007.13143",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.13143",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/tex_files_extracted/2007.13143",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.13143/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.13143/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_07/main_diagram_database/2007.13143/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.13143/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.13143/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.13143/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.13143/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.13143/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2007.13143/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
+ }
2010.02696/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2010.02696",
3
+ "month": "2020_10",
4
+ "year": 2020,
5
+ "conference": "EMNLP",
6
+ "title": "Aspect Sentiment Classification with Aspect-Specific Opinion Spans",
7
+ "arxiv_url": "https://arxiv.org/abs/2010.02696",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02696",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.02696",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02696/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02696/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02696/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02696/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02696/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02696/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02696/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02696/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02696/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
+ }
2010.08258/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2010.08258",
3
+ "month": "2020_10",
4
+ "year": 2021,
5
+ "conference": "ICML",
6
+ "title": "Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models",
7
+ "arxiv_url": "https://arxiv.org/abs/2010.08258",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.08258",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.08258",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.08258/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.08258/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.08258/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.08258/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.08258/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.08258/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.08258/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.08258/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.08258/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
+ }
2011.03017/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2011.03017",
3
+ "month": "2020_11",
4
+ "year": 2020,
5
+ "conference": "EMNLP",
6
+ "title": "MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision",
7
+ "arxiv_url": "https://arxiv.org/abs/2011.03017",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.03017",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.03017",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.03017/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.03017/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.03017/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.03017/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.03017/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.03017/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.03017/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.03017/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.03017/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
+ }
2103.16886/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2103.16886",
3
+ "month": "2021_03",
4
+ "year": 2021,
5
+ "conference": "CVPR",
6
+ "title": "Neural Response Interpretation Through the Lens of Critical Pathways",
7
+ "arxiv_url": "https://arxiv.org/abs/2103.16886",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.16886",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/tex_files_extracted/2103.16886",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.16886/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.16886/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.16886/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2103.16886/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2103.16886/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2103.16886/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2103.16886/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2103.16886/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2103.16886/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
+ }
2104.00380/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2104.00380",
3
+ "month": "2021_04",
4
+ "year": 2021,
5
+ "conference": "CVPR",
6
+ "title": "Online Multiple Object Tracking With Cross-Task Synergy",
7
+ "arxiv_url": "https://arxiv.org/abs/2104.00380",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00380",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.00380",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00380/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00380/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00380/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00380/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00380/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00380/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00380/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00380/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.00380/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
+ }
2104.07058/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2104.07058",
3
+ "month": "2021_04",
4
+ "year": 2021,
5
+ "conference": "NAACL",
6
+ "title": "Predicting Discourse Trees from Transformer-based Neural Summarizers",
7
+ "arxiv_url": "https://arxiv.org/abs/2104.07058",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.07058",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.07058",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.07058/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.07058/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.07058/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.07058/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.07058/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.07058/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.07058/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.07058/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.07058/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
+ }
2105.08997/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2105.08997",
3
+ "month": "2021_05",
4
+ "year": 2022,
5
+ "conference": "ECCV",
6
+ "title": "When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics",
7
+ "arxiv_url": "https://arxiv.org/abs/2105.08997",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.08997",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.08997",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.08997/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.08997/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.08997/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.08997/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.08997/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.08997/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.08997/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.08997/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.08997/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
+ }
2105.09803/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2105.09803",
3
+ "month": "2021_05",
4
+ "year": 2021,
5
+ "conference": "CVPR",
6
+ "title": "Weakly-Supervised Physically Unconstrained Gaze Estimation",
7
+ "arxiv_url": "https://arxiv.org/abs/2105.09803",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.09803",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.09803",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.09803/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.09803/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.09803/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09803/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09803/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09803/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09803/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09803/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2105.09803/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
+ }
2106.01425/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2106.01425",
3
+ "month": "2021_06",
4
+ "year": 2022,
5
+ "conference": "NEURIPS",
6
+ "title": "GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations",
7
+ "arxiv_url": "https://arxiv.org/abs/2106.01425",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.01425",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.01425",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.01425/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.01425/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.01425/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01425/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01425/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01425/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01425/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01425/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.01425/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
+ }
2106.13948/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2106.13948",
3
+ "month": "2021_06",
4
+ "year": 2023,
5
+ "conference": "IJCAI",
6
+ "title": "Core Challenges in Embodied Vision-Language Planning (Extended Abstract)",
7
+ "arxiv_url": "https://arxiv.org/abs/2106.13948",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.13948",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.13948",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.13948/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.13948/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.13948/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.13948/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.13948/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.13948/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.13948/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.13948/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2106.13948/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
+ }
2107.01396/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2107.01396",
3
+ "month": "2021_07",
4
+ "year": 2021,
5
+ "conference": "IJCAI",
6
+ "title": "Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity",
7
+ "arxiv_url": "https://arxiv.org/abs/2107.01396",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.01396",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/tex_files_extracted/2107.01396",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.01396/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.01396/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.01396/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2107.01396/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2107.01396/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2107.01396/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2107.01396/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2107.01396/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2107.01396/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
+ }
2109.04518/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2109.04518",
3
+ "month": "2021_09",
4
+ "year": 2022,
5
+ "conference": "AAAI",
6
+ "title": "Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation",
7
+ "arxiv_url": "https://arxiv.org/abs/2109.04518",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04518",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.04518",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04518/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04518/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04518/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04518/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04518/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04518/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04518/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04518/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04518/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
+ }
2109.04712/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2109.04712",
3
+ "month": "2021_09",
4
+ "year": 2021,
5
+ "conference": "EMNLP",
6
+ "title": "Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution",
7
+ "arxiv_url": "https://arxiv.org/abs/2109.04712",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04712",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.04712",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04712/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04712/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04712/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04712/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04712/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04712/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04712/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04712/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.04712/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
+ }
2109.05361/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2109.05361",
3
+ "month": "2021_09",
4
+ "year": 2021,
5
+ "conference": "EMNLP",
6
+ "title": "COMBO: State-of-the-Art Morphosyntactic Analysis",
7
+ "arxiv_url": "https://arxiv.org/abs/2109.05361",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.05361",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.05361",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.05361/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.05361/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.05361/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.05361/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.05361/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.05361/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.05361/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.05361/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.05361/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
+ }
2109.11593/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2109.11593",
3
+ "month": "2021_09",
4
+ "year": 2021,
5
+ "conference": "ICCV",
6
+ "title": "Long Short View Feature Decomposition via Contrastive Video Representation Learning",
7
+ "arxiv_url": "https://arxiv.org/abs/2109.11593",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.11593",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.11593",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.11593/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.11593/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.11593/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.11593/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.11593/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.11593/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.11593/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.11593/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2109.11593/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
+ }
2110.05055/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2110.05055",
3
+ "month": "2021_10",
4
+ "year": 2021,
5
+ "conference": "ICCV",
6
+ "title": "Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation",
7
+ "arxiv_url": "https://arxiv.org/abs/2110.05055",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.05055",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.05055",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.05055/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.05055/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.05055/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05055/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05055/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05055/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05055/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05055/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05055/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
+ }
2110.05419/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2110.05419",
3
+ "month": "2021_10",
4
+ "year": 2022,
5
+ "conference": "ACL",
6
+ "title": "Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks",
7
+ "arxiv_url": "https://arxiv.org/abs/2110.05419",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.05419",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.05419",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.05419/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.05419/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.05419/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05419/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05419/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05419/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05419/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05419/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.05419/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
+ }
2111.00295/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2111.00295",
3
+ "month": "2021_11",
4
+ "year": 2021,
5
+ "conference": "NEURIPS",
6
+ "title": "Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach",
7
+ "arxiv_url": "https://arxiv.org/abs/2111.00295",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.00295",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.00295",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.00295/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.00295/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.00295/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.00295/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.00295/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.00295/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.00295/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.00295/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.00295/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
+ }
2111.09639/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2111.09639",
3
+ "month": "2021_11",
4
+ "year": 2022,
5
+ "conference": "CVPR",
6
+ "title": "Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction",
7
+ "arxiv_url": "https://arxiv.org/abs/2111.09639",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09639",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.09639",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09639/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09639/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09639/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.09639/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.09639/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.09639/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.09639/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.09639/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.09639/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
+ }
2111.15097/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2111.15097",
3
+ "month": "2021_11",
4
+ "year": 2022,
5
+ "conference": "ECCV",
6
+ "title": "EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs",
7
+ "arxiv_url": "https://arxiv.org/abs/2111.15097",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15097",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.15097",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15097/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15097/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.15097/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15097/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15097/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15097/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15097/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15097/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2111.15097/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
+ }
2112.00712/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2112.00712",
3
+ "month": "2021_12",
4
+ "year": 2022,
5
+ "conference": "AAAI",
6
+ "title": "STEM: Unsupervised STructural EMbedding for Stance Detection",
7
+ "arxiv_url": "https://arxiv.org/abs/2112.00712",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.00712",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.00712",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.00712/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.00712/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.00712/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.00712/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.00712/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.00712/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.00712/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.00712/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.00712/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
+ }
2112.03002/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2112.03002",
3
+ "month": "2021_12",
4
+ "year": 2023,
5
+ "conference": "AAAI",
6
+ "title": "GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction",
7
+ "arxiv_url": "https://arxiv.org/abs/2112.03002",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.03002",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.03002",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.03002/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.03002/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.03002/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03002/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03002/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03002/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03002/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03002/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03002/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
+ }
2112.03258/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2112.03258",
3
+ "month": "2021_12",
4
+ "year": 2022,
5
+ "conference": "ECCV",
6
+ "title": "DoodleFormer: Creative Sketch Drawing with Transformers",
7
+ "arxiv_url": "https://arxiv.org/abs/2112.03258",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.03258",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.03258",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.03258/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.03258/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.03258/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03258/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03258/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03258/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03258/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03258/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.03258/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
+ }
2112.05883/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2112.05883",
3
+ "month": "2021_12",
4
+ "year": 2022,
5
+ "conference": "AAAI",
6
+ "title": "Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity",
7
+ "arxiv_url": "https://arxiv.org/abs/2112.05883",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05883",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.05883",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05883/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05883/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.05883/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05883/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05883/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05883/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05883/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05883/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.05883/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
+ }
2112.06598/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2112.06598",
3
+ "month": "2021_12",
4
+ "year": 2022,
5
+ "conference": "NAACL",
6
+ "title": "WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models",
7
+ "arxiv_url": "https://arxiv.org/abs/2112.06598",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.06598",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.06598",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.06598/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.06598/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.06598/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.06598/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.06598/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.06598/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.06598/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.06598/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.06598/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
+ }
2201.01155/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2201.01155",
3
+ "month": "2022_01",
4
+ "year": 2022,
5
+ "conference": "AAAI",
6
+ "title": "DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training",
7
+ "arxiv_url": "https://arxiv.org/abs/2201.01155",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.01155",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.01155",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.01155/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.01155/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.01155/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.01155/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.01155/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.01155/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.01155/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.01155/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.01155/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
+ }
2201.07745/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2201.07745",
3
+ "month": "2022_01",
4
+ "year": 2022,
5
+ "conference": "AAAI",
6
+ "title": "Improving Biomedical Information Retrieval with Neural Retrievers",
7
+ "arxiv_url": "https://arxiv.org/abs/2201.07745",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.07745",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.07745",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.07745/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.07745/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.07745/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.07745/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.07745/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.07745/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.07745/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.07745/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.07745/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
+ }
2201.11945/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2201.11945",
3
+ "month": "2022_01",
4
+ "year": 2023,
5
+ "conference": "ICLR",
6
+ "title": "Learning Proximal Operators to Discover Multiple Optima",
7
+ "arxiv_url": "https://arxiv.org/abs/2201.11945",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.11945",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.11945",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.11945/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.11945/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.11945/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.11945/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.11945/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.11945/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.11945/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.11945/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.11945/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
+ }
2201.12126/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2201.12126",
3
+ "month": "2022_01",
4
+ "year": 2022,
5
+ "conference": "IJCAI",
6
+ "title": "Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods",
7
+ "arxiv_url": "https://arxiv.org/abs/2201.12126",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12126",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.12126",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12126/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12126/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12126/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12126/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12126/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12126/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12126/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12126/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12126/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
+ }
2201.12426/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2201.12426",
3
+ "month": "2022_01",
4
+ "year": 2022,
5
+ "conference": "ICML",
6
+ "title": "A Simple Guard for Learned Optimizers",
7
+ "arxiv_url": "https://arxiv.org/abs/2201.12426",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12426",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.12426",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12426/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12426/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12426/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12426/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12426/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12426/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12426/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12426/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2201.12426/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
+ }
2202.03101/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2202.03101",
3
+ "month": "2022_02",
4
+ "year": 2022,
5
+ "conference": "ICLR",
6
+ "title": "NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks",
7
+ "arxiv_url": "https://arxiv.org/abs/2202.03101",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.03101",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/tex_files_extracted/2202.03101",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.03101/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.03101/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.03101/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.03101/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.03101/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.03101/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.03101/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.03101/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.03101/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
+ }
2202.06200/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2202.06200",
3
+ "month": "2022_02",
4
+ "year": 2024,
5
+ "conference": "IJCAI",
6
+ "title": "Graph Collaborative Expert Finding with Contrastive Learning",
7
+ "arxiv_url": "https://arxiv.org/abs/2202.06200",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.06200",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/tex_files_extracted/2202.06200",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.06200/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.06200/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.06200/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.06200/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.06200/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.06200/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.06200/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.06200/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.06200/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
+ }
2202.08205/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2202.08205",
3
+ "month": "2022_02",
4
+ "year": 2022,
5
+ "conference": "ICLR",
6
+ "title": "SemiRetro: Semi-template framework boosts deep retrosynthesis prediction",
7
+ "arxiv_url": "https://arxiv.org/abs/2202.08205",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.08205",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/tex_files_extracted/2202.08205",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.08205/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.08205/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.08205/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.08205/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.08205/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.08205/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.08205/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.08205/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2202.08205/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
+ }
2203.00048/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.00048",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "CVPR",
6
+ "title": "Multi-Modal Alignment Using Representation Codebook",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.00048",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.00048",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.00048",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.00048/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.00048/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.00048/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00048/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00048/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00048/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00048/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00048/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00048/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
+ }
2203.00725/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.00725",
3
+ "month": "2022_03",
4
+ "year": 2020,
5
+ "conference": "IJCAI",
6
+ "title": "A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.00725",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.00725",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.00725",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.00725/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.00725/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.00725/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00725/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00725/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00725/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00725/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00725/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.00725/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
+ }
2203.03014/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.03014",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "CVPR",
6
+ "title": "Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.03014",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03014",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.03014",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03014/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03014/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03014/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03014/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03014/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03014/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03014/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03014/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03014/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
+ }
2203.03079/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.03079",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "CVPR",
6
+ "title": "GlideNet: Global, Local and Intrinsic Based Dense Embedding NETwork for Multi-Category Attributes Prediction",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.03079",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03079",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.03079",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03079/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03079/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.03079/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03079/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03079/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03079/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03079/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03079/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.03079/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
+ }
2203.06107/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.06107",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "CVPR",
6
+ "title": "REX: Reasoning-Aware and Grounded Explanation",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.06107",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06107",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.06107",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06107/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06107/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06107/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06107/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06107/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06107/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06107/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06107/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06107/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
+ }
2203.06835/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.06835",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "ACL",
6
+ "title": "KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.06835",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06835",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.06835",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06835/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06835/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06835/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06835/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06835/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06835/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06835/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06835/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06835/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
+ }
2203.12892/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.12892",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "ECCV",
6
+ "title": "Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.12892",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.12892",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.12892",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.12892/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.12892/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.12892/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.12892/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.12892/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.12892/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.12892/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.12892/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.12892/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
+ }
2203.13097/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.13097",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "ACMMM",
6
+ "title": "Box-FaceS: A Bidirectional Method for Box-Guided Face Component Editing",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.13097",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.13097",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.13097",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.13097/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.13097/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.13097/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.13097/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
+ }
2203.15065/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2203.15065",
3
+ "month": "2022_03",
4
+ "year": 2022,
5
+ "conference": "ECCV",
6
+ "title": "DeepShadow: Neural Shape from Shadow",
7
+ "arxiv_url": "https://arxiv.org/abs/2203.15065",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.15065",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.15065",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.15065/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.15065/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.15065/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.15065/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
+ }
2204.06355/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2204.06355",
3
+ "month": "2022_04",
4
+ "year": 2022,
5
+ "conference": "ICLR",
6
+ "title": "Local Feature Swapping for Generalization in Reinforcement Learning",
7
+ "arxiv_url": "https://arxiv.org/abs/2204.06355",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.06355",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/tex_files_extracted/2204.06355",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.06355/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.06355/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.06355/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.06355/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
+ }
2204.09890/record.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "arxiv_id": "2204.09890",
3
+ "month": "2022_04",
4
+ "year": 2022,
5
+ "conference": "ACL",
6
+ "title": "Spurious Correlations in Reference-Free Evaluation of Text Generation",
7
+ "arxiv_url": "https://arxiv.org/abs/2204.09890",
8
+ "source": {
9
+ "paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.09890",
10
+ "tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/tex_files_extracted/2204.09890",
11
+ "paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.09890/paper_text/paper.md",
12
+ "metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.09890/metadata.json",
13
+ "intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_04/main_diagram_database/2204.09890/paper_text/paper.md",
14
+ "intro_method_from_kind": "markdown"
15
+ },
16
+ "files": {
17
+ "main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.09890/main_diagram/main_diagram.drawio",
18
+ "main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.09890/main_diagram/main_diagram.png",
19
+ "main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.09890/main_diagram/main_diagram.pdf",
20
+ "intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.09890/paper_text/intro_method.md",
21
+ "paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.09890/paper.pdf",
22
+ "latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2204.09890/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
+ }