Pith Number
pith:V2V6H2EU
pith:2024:V2V6H2EUPSBPHRZ34QDV2DYM5I
not attested
not anchored
not stored
refs pending
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
arxiv:2410.14633 v2 · 2024-10-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V2V6H2EUPSBPHRZ34QDV2DYM5I}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:32:32.320333Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aeabe3e8947c82f3c73be4075d0f0cea147de27d9837a8567220525cf3ece277
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V2V6H2EUPSBPHRZ34QDV2DYM5I \
| 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: aeabe3e8947c82f3c73be4075d0f0cea147de27d9837a8567220525cf3ece277
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1641e75681a0d9cd3c752d3131c43afd375c3df15af2f8c7d65d672c828094a8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-10-18T17:32:39Z",
"title_canon_sha256": "f761aa85906fa66a46589709a0124820fc06e14c84c689aa75d28b88ef3d0c71"
},
"schema_version": "1.0",
"source": {
"id": "2410.14633",
"kind": "arxiv",
"version": 2
}
}