Pith Number
pith:2CDJJGHX
pith:2021:2CDJJGHXXXLUUFHFVO5HMJEJTP
not attested
not anchored
not stored
refs pending
Do explanations increase the effectiveness of AI-crowd generated fake news warnings?
arxiv:2112.03450 v1 · 2021-12-07 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2CDJJGHXXXLUUFHFVO5HMJEJTP}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:38:45.549038Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d0869498f7bdd74a14e5abba7624899bdc7f8583b35a701aa5f09cb66277591e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2CDJJGHXXXLUUFHFVO5HMJEJTP \
| 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: d0869498f7bdd74a14e5abba7624899bdc7f8583b35a701aa5f09cb66277591e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ac38f7482c55c126f3cf645839ca777e4586658f0c5da791915edd8c5c9599e1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2021-12-07T02:27:57Z",
"title_canon_sha256": "7ef91a593042857ecfa0e8f8bbe76e41a5b4c1e5d3efdca1ef37c6cdc0cbc221"
},
"schema_version": "1.0",
"source": {
"id": "2112.03450",
"kind": "arxiv",
"version": 1
}
}