File size: 3,033 Bytes
8cc6c6a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ed8d9ce
8cc6c6a
 
 
 
 
 
 
 
 
 
 
 
ed8d9ce
 
 
8cc6c6a
 
 
ed8d9ce
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8cc6c6a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ed8d9ce
 
8cc6c6a
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
{
  "schema_version": 1,
  "title": "Repro - A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables",
  "emoji": "\ud83d\udd2c",
  "space_id": "bertfil/jdbQzlnYll",
  "paper": {
    "arxiv_id": "2605.10651",
    "openreview_id": "jdbQzlnYll",
    "title": "A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables",
    "url": "https://arxiv.org/abs/2605.10651"
  },
  "tags": [
    "icml2026-repro",
    "paper-jdbQzlnYll"
  ],
  "updated_at": "2026-07-20T03:52:30+00:00",
  "root": {
    "slug": "index",
    "title": "Repro - A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "00-scored-evidence-summary",
        "title": "00 - Scored evidence summary",
        "file": "pages/00-scored-evidence-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-dicola-is-a-recursive-divide-and-conquer-framework",
        "title": "Claim 1 - DiCoLa is a recursive divide-and-conquer framework that deco\u2026",
        "file": "pages/claim-1-dicola-is-a-recursive-divide-and-conquer-framework/page.md",
        "children": []
      },
      {
        "slug": "claim-2-theorem-4-proves-dicola-preserves-soundness-and-co",
        "title": "Claim 2 - Theorem 4 proves DiCoLa preserves soundness and completeness\u2026",
        "file": "pages/claim-2-theorem-4-proves-dicola-preserves-soundness-and-co/page.md",
        "children": []
      },
      {
        "slug": "claim-3-dicola-s-overall-computational-complexity-is-o-m-k",
        "title": "Claim 3 - DiCoLa's overall computational complexity is O(m\u00b7k_max\u00b2\u00b72^{k\u2026",
        "file": "pages/claim-3-dicola-s-overall-computational-complexity-is-o-m-k/page.md",
        "children": []
      },
      {
        "slug": "claim-4-on-synthetic-er-30-5-er-50-3-graphs-and-benchmark",
        "title": "Claim 4 - On synthetic ER(30,5), ER(50,3) graphs and benchmark network\u2026",
        "file": "pages/claim-4-on-synthetic-er-30-5-er-50-3-graphs-and-benchmark/page.md",
        "children": []
      },
      {
        "slug": "claim-5-applying-dicola-fci-to-a-real-world-arabidopsis-th",
        "title": "Claim 5 - Applying DiCoLa+FCI to a real-world Arabidopsis thaliana gen\u2026",
        "file": "pages/claim-5-applying-dicola-fci-to-a-real-world-arabidopsis-th/page.md",
        "children": []
      },
      {
        "slug": "reproduction-protocol-and-provenance",
        "title": "Reproduction protocol and provenance",
        "file": "pages/reproduction-protocol-and-provenance/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 7005,
  "revision": "1784519550860546300"
}