Pith Number
pith:XXLFXHJV
pith:2019:XXLFXHJVSGVAIU2JINBJW7HHVR
not attested
not anchored
not stored
refs pending
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
arxiv:1911.03854 v2 · 2019-11-10 · cs.CL · cs.CY · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XXLFXHJVSGVAIU2JINBJW7HHVR}
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 | 2026-07-05T00:47:28.241496Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bdd65b9d3591aa04534943429b7ce7ac65aa84ad5ad0bd8737b37150c4c29944
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XXLFXHJVSGVAIU2JINBJW7HHVR \
| 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: bdd65b9d3591aa04534943429b7ce7ac65aa84ad5ad0bd8737b37150c4c29944
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "76b1ac3047e57ee0f180ce95c18004f202a3924c399904450c0f0e6496db9e92",
"cross_cats_sorted": [
"cs.CY",
"cs.IR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-11-10T05:06:38Z",
"title_canon_sha256": "b68b4c5eb3ea8b74e79a763c01067aaa51b36be12b40ba6a50faefb9b27f1e29"
},
"schema_version": "1.0",
"source": {
"id": "1911.03854",
"kind": "arxiv",
"version": 2
}
}