Pith Number
pith:ZFMMLZXC
pith:2018:ZFMMLZXCT2RHPEBRKA4WZNR62N
not attested
not anchored
not stored
refs pending
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
arxiv:1812.05313 v1 · 2018-12-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZFMMLZXCT2RHPEBRKA4WZNR62N}
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 | 2026-05-17T23:58:23.835425Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c958c5e6e29ea277903150396cb63ed35cba9193c281b5bd14b12734b9c3e1d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZFMMLZXCT2RHPEBRKA4WZNR62N \
| 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: c958c5e6e29ea277903150396cb63ed35cba9193c281b5bd14b12734b9c3e1d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "89916198158f168b77e0fa49acb3005e388ea150077993a8a4e2423288f59390",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-12-13T08:46:42Z",
"title_canon_sha256": "8825ee94bfdd4189355549f6b81906c1a2182ab8d30042b62893717a6c11f0ea"
},
"schema_version": "1.0",
"source": {
"id": "1812.05313",
"kind": "arxiv",
"version": 1
}
}