Pith Number
pith:GYLNSXOC
pith:2024:GYLNSXOCERHNQ2C6HIMGS5D3C5
not attested
not anchored
not stored
refs pending
How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey
arxiv:2412.08158 v1 · 2024-12-11 · cs.CV · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GYLNSXOCERHNQ2C6HIMGS5D3C5}
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 | 2026-07-05T09:47:45.308424Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3616d95dc2244ed8685e3a1869747b176de2dd6bdfcad3db18a6359e1aa32f7e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GYLNSXOCERHNQ2C6HIMGS5D3C5 \
| 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: 3616d95dc2244ed8685e3a1869747b176de2dd6bdfcad3db18a6359e1aa32f7e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c529a0ee13f35f4167a290709a8bd8d860cd99ccfb97c4ed89b1a77e6f61096d",
"cross_cats_sorted": [
"cs.CL",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-11T07:29:04Z",
"title_canon_sha256": "67a7319115e7764f0586fb0c14e3adad4b398cf2eb90e1b3552956adfe28b333"
},
"schema_version": "1.0",
"source": {
"id": "2412.08158",
"kind": "arxiv",
"version": 1
}
}