Pith Number
pith:SMVWBZ4N
pith:2025:SMVWBZ4ND54M2I7NLEIGMEGD6F
not attested
not anchored
not stored
refs pending
MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation
arxiv:2505.15834 v1 · 2025-05-16 · cs.SI · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SMVWBZ4ND54M2I7NLEIGMEGD6F}
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 | 2026-07-05T11:07:25.972452Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
932b60e78d1f78cd23ed59106610c3f156334dcfc1511fcc32d1ce3ead0daa0f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SMVWBZ4ND54M2I7NLEIGMEGD6F \
| 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: 932b60e78d1f78cd23ed59106610c3f156334dcfc1511fcc32d1ce3ead0daa0f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e51cc5591f23d5cc9423d260a42a21ec9db1152936b96b5207c90eb53ad9d7f7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2025-05-16T11:59:31Z",
"title_canon_sha256": "aa06f080874caf51de185e9260b262c656c103111d5fe2897526415d62b6099d"
},
"schema_version": "1.0",
"source": {
"id": "2505.15834",
"kind": "arxiv",
"version": 1
}
}