Pith Number
pith:MRGIAF5Q
pith:2019:MRGIAF5QSTN2OYKE3JC233GAON
not attested
not anchored
not stored
refs pending
Using Deep Networks and Transfer Learning to Address Disinformation
arxiv:1905.10412 v1 · 2019-05-24 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MRGIAF5QSTN2OYKE3JC233GAON}
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.
Receipt and verification
| First computed | 2026-05-17T23:45:08.624936Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
644c8017b094dba76144da45adecc073593f635e76a86ae1eab1e9ea5ba39c82
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MRGIAF5QSTN2OYKE3JC233GAON \
| 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: 644c8017b094dba76144da45adecc073593f635e76a86ae1eab1e9ea5ba39c82
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c3dcf03b2553ab34ee9b3b9d87362c3632e47d2bf1d0fa10e040650843964f74",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-05-24T19:10:18Z",
"title_canon_sha256": "9016d114563af567024e007403af0b48d4e6583e641a0721cbf677570628ad75"
},
"schema_version": "1.0",
"source": {
"id": "1905.10412",
"kind": "arxiv",
"version": 1
}
}