Pith Number
pith:ZWTNL7SJ
pith:2024:ZWTNL7SJIWNVHCKHPZMP75X6RK
not attested
not anchored
not stored
refs pending
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
arxiv:2412.17312 v3 · 2024-12-23 · cs.LG · cs.NE · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZWTNL7SJIWNVHCKHPZMP75X6RK}
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.
Receipt and verification
| First computed | 2026-07-05T10:31:52.200895Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cda6d5fe49459b5389477e58fff6fe8a8fc4b83da97a54a799b909979ee622e9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZWTNL7SJIWNVHCKHPZMP75X6RK \
| 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: cda6d5fe49459b5389477e58fff6fe8a8fc4b83da97a54a799b909979ee622e9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8e59e3ea7ef4068d0e57569977082e496088241e4b7e520d105f41b5a9a362bc",
"cross_cats_sorted": [
"cs.NE",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-23T06:05:45Z",
"title_canon_sha256": "5903bdc828823ea44218fa7a09f9777f127f20084430401bc97d5a1e4896d919"
},
"schema_version": "1.0",
"source": {
"id": "2412.17312",
"kind": "arxiv",
"version": 3
}
}