Pith Number
pith:TJI5MPU2
pith:2020:TJI5MPU23FX6E275EYADSPJVHU
not attested
not anchored
not stored
refs pending
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
arxiv:2004.01608 v3 · 2020-04-03 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TJI5MPU23FX6E275EYADSPJVHU}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:34:52.950580Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9a51d63e9ad96fe26bfd2600393d353d04b6cdc4f7140ad6f87fed20415a4fa0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TJI5MPU23FX6E275EYADSPJVHU \
| 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: 9a51d63e9ad96fe26bfd2600393d353d04b6cdc4f7140ad6f87fed20415a4fa0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "783fd0d0f3b61a421019f1e0cd685ac935e68b0a95f88c033c46fa8f789d6886",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-04-03T14:51:54Z",
"title_canon_sha256": "47221b98cdb86d2cc968526fcff9b5f5832a9f68a3d5edf7f0b1decdf0299e9c"
},
"schema_version": "1.0",
"source": {
"id": "2004.01608",
"kind": "arxiv",
"version": 3
}
}