Pith Number
pith:MLBHFKFY
pith:2020:MLBHFKFYCU4M4D6ABXHBYXZQ5D
not attested
not anchored
not stored
refs pending
A Multimodal Framework for the Detection of Hateful Memes
arxiv:2012.12871 v2 · 2020-12-23 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MLBHFKFYCU4M4D6ABXHBYXZQ5D}
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 | 2026-07-05T03:06:16.488119Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62c272a8b81538ce0fc00dce1c5f30e8f4e8b2f733828730322f6d9ddbc59f28
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MLBHFKFYCU4M4D6ABXHBYXZQ5D \
| 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: 62c272a8b81538ce0fc00dce1c5f30e8f4e8b2f733828730322f6d9ddbc59f28
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0d169d63f8e87f36e232683ef78ffa1c21cafd9f1966d365a77c2a3f74dbd096",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2020-12-23T18:37:11Z",
"title_canon_sha256": "8e4421f38995d3dd2aeb03fb760d94a78153d85c60d52551f0fbed96fe24b4f6"
},
"schema_version": "1.0",
"source": {
"id": "2012.12871",
"kind": "arxiv",
"version": 2
}
}