Pith Number
pith:TT5HEPKH
pith:2024:TT5HEPKHXQRCLPFTMISBQBH7KG
not attested
not anchored
not stored
refs pending
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
arxiv:2409.03192 v2 · 2024-09-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TT5HEPKHXQRCLPFTMISBQBH7KG}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-20T01:04:50.143819Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9cfa723d47bc2225bcb362241804ff51b6854f41a564c8b4e2f52f30f9f16e39
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TT5HEPKHXQRCLPFTMISBQBH7KG \
| 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: 9cfa723d47bc2225bcb362241804ff51b6854f41a564c8b4e2f52f30f9f16e39
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f1cd86b360e478ff4cf3ff44a9ccdef9b0fd24c226303b57be3a4a777eef2b41",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-09-05T02:32:07Z",
"title_canon_sha256": "31a66820e8278c4c9f145c9b934f2fb944b0e1843db99d0d77d68631c97b3f0a"
},
"schema_version": "1.0",
"source": {
"id": "2409.03192",
"kind": "arxiv",
"version": 2
}
}