Pith Number
pith:5YAYT7YJ
pith:2018:5YAYT7YJ3FTME56CMRDZDEHZSU
not attested
not anchored
not stored
refs pending
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection
arxiv:1807.01990 v1 · 2018-07-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5YAYT7YJ3FTME56CMRDZDEHZSU}
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 | 2026-05-18T00:11:24.543150Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee0189ff09d966c277c264479190f99514e3067d32c87c658a154bec97f8a6b7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5YAYT7YJ3FTME56CMRDZDEHZSU \
| 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: ee0189ff09d966c277c264479190f99514e3067d32c87c658a154bec97f8a6b7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8bfe181b5531308c3f8c7100649635257dc7fae21970515c439805041b373eac",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-04T05:45:48Z",
"title_canon_sha256": "a0596bd3f72511daaa3ea39378e4e5c18e14cb98fb8023096ba7cd63140aaf2d"
},
"schema_version": "1.0",
"source": {
"id": "1807.01990",
"kind": "arxiv",
"version": 1
}
}