Pith Number
pith:NXR3LNJG
pith:2019:NXR3LNJGMP7IA7QU3MQTEQ3I77
not attested
not anchored
not stored
refs pending
Multi-echelon Supply Chain Inventory Planning using Simulation-Optimization with Data Resampling
arxiv:1901.00090 v1 · 2019-01-01 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NXR3LNJGMP7IA7QU3MQTEQ3I77}
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 | 2026-05-17T23:57:06.951423Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6de3b5b52663fe807e14db21324368ffdc2c61f6e1e783b0aa86c5efcb1d57c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NXR3LNJGMP7IA7QU3MQTEQ3I77 \
| 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: 6de3b5b52663fe807e14db21324368ffdc2c61f6e1e783b0aa86c5efcb1d57c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "54440f45ac5f80577affdea26ba2f1ab56e629ce5d2ce2e068ba63cd1eac2ecd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2019-01-01T04:35:55Z",
"title_canon_sha256": "0d61a13adff1e6f587f730946927460ecce6e095e1023f8cb33999ae52c8f3f9"
},
"schema_version": "1.0",
"source": {
"id": "1901.00090",
"kind": "arxiv",
"version": 1
}
}