Pith Number
pith:DMJRNC7S
pith:2025:DMJRNC7SWWVUC3SZ3QCODECGLW
not attested
not anchored
not stored
refs pending
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
arxiv:2505.08265 v3 · 2025-05-13 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DMJRNC7SWWVUC3SZ3QCODECGLW}
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
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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.
Receipt and verification
| First computed | 2026-07-05T11:19:26.890674Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b13168bf2b5ab416e59dc04e190465d937daa904880e7ff402dc7533b5a7c29
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DMJRNC7SWWVUC3SZ3QCODECGLW \
| 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: 1b13168bf2b5ab416e59dc04e190465d937daa904880e7ff402dc7533b5a7c29
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0f954bf1d626b921d06282558907b697861d4e537b8b2967da4388812e028bab",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-13T06:29:25Z",
"title_canon_sha256": "d4af35edf78c869cb4f4250e2e48f44092dec50c2c30ba7fb3250e07ac5841db"
},
"schema_version": "1.0",
"source": {
"id": "2505.08265",
"kind": "arxiv",
"version": 3
}
}