Pith Number
pith:2APHQAWD
pith:2022:2APHQAWDKOFHM67X4LLR2AO7KM
not attested
not anchored
not stored
refs pending
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
arxiv:2203.00903 v1 · 2022-03-02 · cs.LG · cs.AI · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2APHQAWDKOFHM67X4LLR2AO7KM}
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 | 2026-07-05T09:58:15.218124Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d01e7802c3538a767bf7e2d71d01df5301a3409de6c9a42d3716726c1ae3b694
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2APHQAWDKOFHM67X4LLR2AO7KM \
| 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: d01e7802c3538a767bf7e2d71d01df5301a3409de6c9a42d3716726c1ae3b694
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "66ffa454c2e1df6e29d7d689a5318b6379144ebdba158da5cd24aa2c6a2345cc",
"cross_cats_sorted": [
"cs.AI",
"math.OC"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-03-02T07:21:56Z",
"title_canon_sha256": "cb36af80f272776bab7221a22941375153edd1a45150f1fa894056761727b2bf"
},
"schema_version": "1.0",
"source": {
"id": "2203.00903",
"kind": "arxiv",
"version": 1
}
}