Pith Number
pith:7JYNTZHW
pith:2015:7JYNTZHWDSE2OMXJXKQHJXQIRY
not attested
not anchored
not stored
refs pending
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms
arxiv:1503.07845 v1 · 2015-03-26 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7JYNTZHWDSE2OMXJXKQHJXQIRY}
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.
Receipt and verification
| First computed | 2026-05-18T02:20:18.562526Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fa70d9e4f61c89a732e9baa074de088e1347e49ba130aac6a016df3851fc31b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7JYNTZHWDSE2OMXJXKQHJXQIRY \
| 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: fa70d9e4f61c89a732e9baa074de088e1347e49ba130aac6a016df3851fc31b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e3d14a3be5414214371177a0d632ff5a8ee0950949618f976964c26e7aa4a681",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2015-03-26T19:44:48Z",
"title_canon_sha256": "fbc84d0fc087b93a69b3dc75b99cf6feb4d837ecf2561f3049f347d1c23f35fc"
},
"schema_version": "1.0",
"source": {
"id": "1503.07845",
"kind": "arxiv",
"version": 1
}
}