Pith Number
pith:HVHA7ZQR
pith:2012:HVHA7ZQRKGJGTJJGU4GUJIGBBA
not attested
not anchored
not stored
refs pending
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models
arxiv:1202.3763 v1 · 2012-02-14 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HVHA7ZQRKGJGTJJGU4GUJIGBBA}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T04:02:02.975428Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3d4e0fe611519269a526a70d44a0c1082190fe9cf8e057d0159f73855a8717a2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HVHA7ZQRKGJGTJJGU4GUJIGBBA \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3d4e0fe611519269a526a70d44a0c1082190fe9cf8e057d0159f73855a8717a2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b212c68a7d07a87b0644f98a82b142bc3568b47544a688526f23b24a2d3ffa99",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2012-02-14T16:41:17Z",
"title_canon_sha256": "e0c84be5dcba1eeaf49deecfcb6a078362c8bd1701c7779967cf77b071fa3732"
},
"schema_version": "1.0",
"source": {
"id": "1202.3763",
"kind": "arxiv",
"version": 1
}
}