Pith Number
pith:XBACKY5A
pith:2026:XBACKY5A7BLWPFWNQPRSBDW76H
not attested
not anchored
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PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models
arxiv:2606.24388 v1 · 2026-06-23 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XBACKY5A7BLWPFWNQPRSBDW76H}
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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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 | 2026-06-24T01:15:29.290255Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b8402563a0f8576796cd83e3208edff1d3dfed9b5da701fec44c9906ef838a42
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XBACKY5A7BLWPFWNQPRSBDW76H \
| 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: b8402563a0f8576796cd83e3208edff1d3dfed9b5da701fec44c9906ef838a42
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d51ccd0ee86f2b93998ffb5e9b55538d76531d8b46c34497757e41d84ca40394",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-06-23T10:20:40Z",
"title_canon_sha256": "5d6992c898f6533e40b3043be2bedb2ac5301c2758d3a8a7572953771e8236cb"
},
"schema_version": "1.0",
"source": {
"id": "2606.24388",
"kind": "arxiv",
"version": 1
}
}