Pith Number
pith:3TX2EUSR
pith:2024:3TX2EUSRWXJSO3VIZ6NGZQ5DX4
not attested
not anchored
not stored
refs pending
Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?
arxiv:2402.04967 v1 · 2024-02-07 · cs.CL · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3TX2EUSRWXJSO3VIZ6NGZQ5DX4}
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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4
Citations
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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 | 2026-07-05T07:42:34.575411Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dcefa25251b5d3276ea8cf9a6cc3a3bf0fa7f8cd48136e6bd9156c1b72c16ea5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3TX2EUSRWXJSO3VIZ6NGZQ5DX4 \
| 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: dcefa25251b5d3276ea8cf9a6cc3a3bf0fa7f8cd48136e6bd9156c1b72c16ea5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "05364bf67105c74a29b5a64de8c7d4d8ebfebb64f86d6b6143b253d54a84944d",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-02-07T15:44:55Z",
"title_canon_sha256": "934fe8afcf6198d2a7876202c5416a4647e712c5f3364d0f88d7d44ca761e845"
},
"schema_version": "1.0",
"source": {
"id": "2402.04967",
"kind": "arxiv",
"version": 1
}
}