Pith Number
pith:YC2G2MFA
pith:2024:YC2G2MFASJ4NQBA6PYJXB6K3J7
not attested
not anchored
not stored
refs pending
Cause and Effect: Can Large Language Models Truly Understand Causality?
arxiv:2402.18139 v3 · 2024-02-28 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YC2G2MFASJ4NQBA6PYJXB6K3J7}
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
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4
Citations
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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.
Receipt and verification
| First computed | 2026-07-05T09:12:59.732362Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c0b46d30a09278d8041e7e1370f95b4fe9fa76b88cc30831921e69033ee40bc0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YC2G2MFASJ4NQBA6PYJXB6K3J7 \
| 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: c0b46d30a09278d8041e7e1370f95b4fe9fa76b88cc30831921e69033ee40bc0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d21df5975019cf6d532044b7843c7e2d3926cc016aefcbff802979a94eb10a94",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-02-28T08:02:14Z",
"title_canon_sha256": "d9c3af8653128f0c91d05e2c5cc8c8f4dcd8a6265efc499eae0c78be54f7f970"
},
"schema_version": "1.0",
"source": {
"id": "2402.18139",
"kind": "arxiv",
"version": 3
}
}