Pith Number
pith:UIR5A74O
pith:2025:UIR5A74OOYZITP66D4VWAJCTHP
not attested
not anchored
not stored
refs pending
Do Large Vision-Language Models Distinguish between the Actual and Apparent Features of Illusions?
arxiv:2506.05765 v2 · 2025-06-06 · cs.CV · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UIR5A74OOYZITP66D4VWAJCTHP}
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.
Receipt and verification
| First computed | 2026-07-05T11:19:28.450740Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a223d07f8e763289bfde1f2b6024533bc3fd5532b5ac0339b8b3ea911bdcfb09
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UIR5A74OOYZITP66D4VWAJCTHP \
| 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: a223d07f8e763289bfde1f2b6024533bc3fd5532b5ac0339b8b3ea911bdcfb09
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fddcec5789ffdde87bb25f48663b04a92f95df62f7e2f538da0414ef6746ef10",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-06T05:47:50Z",
"title_canon_sha256": "99f36d255194f9c49343df919253fbcd28f694095585432a550f2c07069f331a"
},
"schema_version": "1.0",
"source": {
"id": "2506.05765",
"kind": "arxiv",
"version": 2
}
}