Pith Number
pith:MFAZRZIH
pith:2024:MFAZRZIH4EOXES65YZCQX64ZAY
not attested
not anchored
not stored
refs pending
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards
arxiv:2411.17861 v3 · 2024-11-26 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MFAZRZIH4EOXES65YZCQX64ZAY}
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 | 2026-07-05T09:44:36.907260Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
614198e507e11d724bddc6450bfb9906376f6341dca10b7a836c392b3f8c6395
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MFAZRZIH4EOXES65YZCQX64ZAY \
| 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: 614198e507e11d724bddc6450bfb9906376f6341dca10b7a836c392b3f8c6395
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b6f018b318330b1bfac362f0fa849251230285bc22893d480ea0a436c003aa35",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-26T20:22:31Z",
"title_canon_sha256": "51ac09f0f131ce1542e3c0231447922d11e224a6c38f075de1a27ce3f57332bd"
},
"schema_version": "1.0",
"source": {
"id": "2411.17861",
"kind": "arxiv",
"version": 3
}
}