Pith Number
pith:7ZMCJBDC
pith:2025:7ZMCJBDCIRLHD2MKI7UR5YGVC6
not attested
not anchored
not stored
refs pending
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning
arxiv:2505.19522 v1 · 2025-05-26 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7ZMCJBDCIRLHD2MKI7UR5YGVC6}
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
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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 | 2026-07-05T11:09:31.734673Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe58248462445671e98a47e91ee0d5179e7dc6d10cf6ed01ba1d8714d584ae55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7ZMCJBDCIRLHD2MKI7UR5YGVC6 \
| 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: fe58248462445671e98a47e91ee0d5179e7dc6d10cf6ed01ba1d8714d584ae55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7c22907bae5bf4d626530d8f73545ee32b034b6815a0c2e7088e58e93e80955f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-26T05:08:16Z",
"title_canon_sha256": "8ca545bed26a684400443934eb3a892563b0b6b1cd7daa6c36b3599d109c9363"
},
"schema_version": "1.0",
"source": {
"id": "2505.19522",
"kind": "arxiv",
"version": 1
}
}