Pith Number
pith:VCFGM3HG
pith:2021:VCFGM3HG2LSWLVJPAULW7XG56H
not attested
not anchored
not stored
refs pending
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach
arxiv:2101.00135 v3 · 2021-01-01 · cs.SE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VCFGM3HG2LSWLVJPAULW7XG56H}
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 | 2026-07-05T03:35:27.218705Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a88a666ce6d2e565d52f05176fdcddf1c582fa39cddf012c8d0707d948e2aaab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VCFGM3HG2LSWLVJPAULW7XG56H \
| 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: a88a666ce6d2e565d52f05176fdcddf1c582fa39cddf012c8d0707d948e2aaab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "87d260d7951eaab4a32ca3ebdd75c203872953fcab6e15e7bc425efa24617ad9",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2021-01-01T01:49:03Z",
"title_canon_sha256": "6a2556e7c7d94b91649d72736065048ab9ac118bbe1b4f3cdc787c260fa9c7d0"
},
"schema_version": "1.0",
"source": {
"id": "2101.00135",
"kind": "arxiv",
"version": 3
}
}