Pith Number
pith:PZGNVXFW
pith:2019:PZGNVXFWGRXK3D2JBULBD27ISJ
not attested
not anchored
not stored
refs pending
TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture
arxiv:1905.05567 v1 · 2019-05-14 · cs.LG · cs.AI · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PZGNVXFWGRXK3D2JBULBD27ISJ}
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 | 2026-05-17T23:46:14.197198Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7e4cdadcb6346ead8f490d1611ebe892638a16eac2506c6aed76719fd5b081c7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PZGNVXFWGRXK3D2JBULBD27ISJ \
| 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: 7e4cdadcb6346ead8f490d1611ebe892638a16eac2506c6aed76719fd5b081c7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "91f6e5974c3ff6e2c8ac67188c365cf32525972a1f14f27b0f60474b9fc6173f",
"cross_cats_sorted": [
"cs.AI",
"cs.NE"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-14T12:49:32Z",
"title_canon_sha256": "657298e30d7b4c2083f5dff7bb650fd4c8663288f8287376710a36107482e4a7"
},
"schema_version": "1.0",
"source": {
"id": "1905.05567",
"kind": "arxiv",
"version": 1
}
}