Pith Number
pith:OP7QFFUN
pith:2025:OP7QFFUNT5PPRGED5UBDFZ2SQ5
not attested
not anchored
not stored
refs pending
Detecting Fake News Belief via Skin and Blood Flow Signals
arxiv:2505.16730 v1 · 2025-05-22 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OP7QFFUNT5PPRGED5UBDFZ2SQ5}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:07:39.886484Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
73ff02968d9f5ef89883ed0232e752875efa9b1555aba7cb2730d7eb6ee59811
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OP7QFFUNT5PPRGED5UBDFZ2SQ5 \
| 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: 73ff02968d9f5ef89883ed0232e752875efa9b1555aba7cb2730d7eb6ee59811
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8347f2c66d6ada0a2b294876ad0792d0181adc06f4d0f270f81c9116eb0c5d51",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2025-05-22T14:40:10Z",
"title_canon_sha256": "7d9befe6db7ab88d5a0bc40603b38f208822c091846bae303f55250977db52f4"
},
"schema_version": "1.0",
"source": {
"id": "2505.16730",
"kind": "arxiv",
"version": 1
}
}