Pith Number
pith:AZNGQRSQ
pith:2020:AZNGQRSQON7U3LXMEUX35ZMSCT
not attested
not anchored
not stored
refs pending
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
arxiv:2002.12169 v1 · 2020-02-26 · cs.LG · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AZNGQRSQON7U3LXMEUX35ZMSCT}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:44:21.111012Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
065a684650737f4daeec252fbee59214c2e2baebd0afbf263c0b106778c6f551
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AZNGQRSQON7U3LXMEUX35ZMSCT \
| 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: 065a684650737f4daeec252fbee59214c2e2baebd0afbf263c0b106778c6f551
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "334ee5cbb5d8a25fcd70508dfac4b12f6b8bf7785a1f68010d710bb0be308e52",
"cross_cats_sorted": [
"cs.CV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-02-26T08:07:58Z",
"title_canon_sha256": "aa07cc3ba90ec9ab8e02e9cbbc40f7c3a2fb11672dd26c95aa9c9dfc3b5e7ebc"
},
"schema_version": "1.0",
"source": {
"id": "2002.12169",
"kind": "arxiv",
"version": 1
}
}