Pith Number
pith:ZBYMGZDC
pith:2024:ZBYMGZDCMGWWOHUNZLSHNKJBAR
not attested
not anchored
not stored
refs pending
Can We Predict Performance of Large Models across Vision-Language Tasks?
arxiv:2410.10112 v2 · 2024-10-14 · cs.CV · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZBYMGZDCMGWWOHUNZLSHNKJBAR}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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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 | 2026-07-05T11:11:35.896262Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c870c3646261ad671e8dcae476a9210460e0a138d69a42a0a7a87fdb0dca733b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZBYMGZDCMGWWOHUNZLSHNKJBAR \
| 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: c870c3646261ad671e8dcae476a9210460e0a138d69a42a0a7a87fdb0dca733b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "05d6ecc597f54ed649575b8ad57873d948d566c13cb0e79e9c0c839c4f215f30",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-10-14T03:00:12Z",
"title_canon_sha256": "835e7e8cdb11f5f9d0b0501757930ad008c64168df109db5992cd9b2cec5a792"
},
"schema_version": "1.0",
"source": {
"id": "2410.10112",
"kind": "arxiv",
"version": 2
}
}