Pith Number
pith:XUJ6HGEM
pith:2019:XUJ6HGEMJ73QKPLU3U56HZYJIH
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refs pending
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem
arxiv:1909.13121 v1 · 2019-09-28 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XUJ6HGEMJ73QKPLU3U56HZYJIH}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:07:56.256277Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd13e3988c4ff7053d74dd3be3e70941f8f40c98bf564528892afe000ea792b9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XUJ6HGEMJ73QKPLU3U56HZYJIH \
| 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: bd13e3988c4ff7053d74dd3be3e70941f8f40c98bf564528892afe000ea792b9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "930fed24d1448d6ae465e41469494bae77be5c8cf9d01edfb30bce8a55ad8d4e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2019-09-28T16:35:38Z",
"title_canon_sha256": "5e8b1a3af732e345954c299c7645671b7d8514a6c66d8217eeb43de6143c4290"
},
"schema_version": "1.0",
"source": {
"id": "1909.13121",
"kind": "arxiv",
"version": 1
}
}