Pith Number
pith:MO7HABT5
pith:2025:MO7HABT5XLS7Y7RTSQ7H6APO6F
not attested
not anchored
not stored
refs pending
CoViPAL: Layer-wise Contextualized Visual Token Pruning for Large Vision-Language Models
arxiv:2508.17243 v2 · 2025-08-24 · cs.CV · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MO7HABT5XLS7Y7RTSQ7H6APO6F}
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 | 2026-07-05T12:02:06.852952Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63be70067dbae5fc7e33943e7f01eef17c06a69acf8c64ede0700dfbf2672635
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MO7HABT5XLS7Y7RTSQ7H6APO6F \
| 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: 63be70067dbae5fc7e33943e7f01eef17c06a69acf8c64ede0700dfbf2672635
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "773e868567c258d0d339d93ee764f17bd5028c6b916901b476ab13235976d096",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-24T07:47:00Z",
"title_canon_sha256": "a0c639fc25fa78fb89d63b81fdf4196060ce6c5ba9beafeff8d2e0970ae8f989"
},
"schema_version": "1.0",
"source": {
"id": "2508.17243",
"kind": "arxiv",
"version": 2
}
}