Pith Number
pith:JBC2EIDC
pith:2025:JBC2EIDCHPEHGPSXZSHA4GLBWV
not attested
not anchored
not stored
refs pending
Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models
arxiv:2509.02161 v1 · 2025-09-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JBC2EIDCHPEHGPSXZSHA4GLBWV}
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 | 2026-07-05T12:03:33.117078Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4845a220623bc8733e57cc8e0e1961b542d6abdeb229ec8d37d48773f1b86d8b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JBC2EIDCHPEHGPSXZSHA4GLBWV \
| 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: 4845a220623bc8733e57cc8e0e1961b542d6abdeb229ec8d37d48773f1b86d8b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d047181a790b3d25d2f639e3349ce7c3db0bc1b15ae42d5f5f6c339cbf0ab2cb",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-09-02T10:12:53Z",
"title_canon_sha256": "4b49ad77909a3ebcf50f796fa07c69aa1a298824927c89ad431992819f1056dc"
},
"schema_version": "1.0",
"source": {
"id": "2509.02161",
"kind": "arxiv",
"version": 1
}
}