Pith Number
pith:6FZIOH6D
pith:2017:6FZIOH6DFTUBR3UDNFQEJE4J5N
not attested
not anchored
not stored
refs pending
An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks
arxiv:1702.02382 v1 · 2017-02-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6FZIOH6DFTUBR3UDNFQEJE4J5N}
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 | 2026-05-18T00:51:06.059230Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f172871fc32ce818ee836960449389eb7881bc6e076901de8d1aa8c097c3863b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6FZIOH6DFTUBR3UDNFQEJE4J5N \
| 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: f172871fc32ce818ee836960449389eb7881bc6e076901de8d1aa8c097c3863b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7c3f696075556014a3eb495963ea8f93c68c544560ae1bfa16832234f6262f84",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-02-08T11:40:15Z",
"title_canon_sha256": "2a201148b1ee59c000d19170472877ccea370aa11e97e99702bc4a3eb4bd9e82"
},
"schema_version": "1.0",
"source": {
"id": "1702.02382",
"kind": "arxiv",
"version": 1
}
}