Pith Number
pith:2T2NLWTB
pith:2023:2T2NLWTBB3NSBKAWGLYSKJCNAC
not attested
not anchored
not stored
refs pending
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search
arxiv:2302.02565 v1 · 2023-02-06 · cs.NE · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2T2NLWTBB3NSBKAWGLYSKJCNAC}
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 | 2026-07-05T05:38:54.578758Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4f4d5da610edb20a81632f125244d00a339edd41ea9f13709d00edb168bff7f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2T2NLWTBB3NSBKAWGLYSKJCNAC \
| 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: d4f4d5da610edb20a81632f125244d00a339edd41ea9f13709d00edb168bff7f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "625c31bc37e839c439b96ccf490d68d4a8a3c4b5483e39ff2f83827f56142c01",
"cross_cats_sorted": [
"cs.LG",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2023-02-06T04:59:51Z",
"title_canon_sha256": "0e89d97e56eaa08a7bdb94226fa9080e7b4cda530458bd814ca9e1da407a12de"
},
"schema_version": "1.0",
"source": {
"id": "2302.02565",
"kind": "arxiv",
"version": 1
}
}