Pith Number
pith:ZBZGNIVE
pith:2020:ZBZGNIVEDL5PWPXEA3Q3MMDOMZ
not attested
not anchored
not stored
refs pending
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
arxiv:2007.03316 v2 · 2020-07-07 · cs.SI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZBZGNIVEDL5PWPXEA3Q3MMDOMZ}
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
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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 | 2026-07-05T01:27:04.293013Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c87266a2a41afafb3ee406e1b6306e665e4f425279811c88f7b19994272d4f36
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZBZGNIVEDL5PWPXEA3Q3MMDOMZ \
| 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: c87266a2a41afafb3ee406e1b6306e665e4f425279811c88f7b19994272d4f36
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7eb7226c800960435866ad9d9885f51fc9b1b5f20d4e859040d568da1ad708b4",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2020-07-07T10:04:50Z",
"title_canon_sha256": "9a0b83a79490fdfcf3ca3c8e5edb703a59865767b1ab767b188b6b7db6b3d939"
},
"schema_version": "1.0",
"source": {
"id": "2007.03316",
"kind": "arxiv",
"version": 2
}
}