Pith Number
pith:5O5OVFRG
pith:2025:5O5OVFRGAHFY4F5UTGK7LJTUCM
not attested
not anchored
not stored
refs pending
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
arxiv:2507.17070 v1 · 2025-07-22 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5O5OVFRGAHFY4F5UTGK7LJTUCM}
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 | 2026-07-05T11:42:01.122601Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ebbaea962601cb8e17b49995f5a674132c4ee20b17d11125674b5f4957421654
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5O5OVFRGAHFY4F5UTGK7LJTUCM \
| 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: ebbaea962601cb8e17b49995f5a674132c4ee20b17d11125674b5f4957421654
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7606f9d06fe2e1bb512e66b8e4d6cd2513dd52a7b09228d196c5554b7b19556",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-22T23:15:11Z",
"title_canon_sha256": "d5c2658b7acf0d8293ddb44b73b4262adbef30ed8c15c188e747214ea232ce50"
},
"schema_version": "1.0",
"source": {
"id": "2507.17070",
"kind": "arxiv",
"version": 1
}
}