Pith Number
pith:6ERZ64TP
pith:2024:6ERZ64TPFMH5X3YJB2R4COCSEU
not attested
not anchored
not stored
refs pending
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
arxiv:2402.01454 v5 · 2024-02-02 · cs.LG · cs.AI · stat.ME · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6ERZ64TPFMH5X3YJB2R4COCSEU}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
5
Replications
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:01:23.266180Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f1239f726f2b0fdbef090ea3c1385225251bc66cfef8e7ffe4089375840b80f2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6ERZ64TPFMH5X3YJB2R4COCSEU \
| 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: f1239f726f2b0fdbef090ea3c1385225251bc66cfef8e7ffe4089375840b80f2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "98dae1d79aab39d0ac8557bc93715f618ae948f4513b1fa4bd883c853e251a2d",
"cross_cats_sorted": [
"cs.AI",
"stat.ME",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-02T14:43:19Z",
"title_canon_sha256": "d6c54df585596712f7e391c8054351d1ba28276c3a59b2a8e6c0f6f9e08b7f82"
},
"schema_version": "1.0",
"source": {
"id": "2402.01454",
"kind": "arxiv",
"version": 5
}
}