Pith Number
pith:EMWZNIW5
pith:2019:EMWZNIW5E3DFYIHU2BUGOWDFBB
not attested
not anchored
not stored
refs pending
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
arxiv:1904.01318 v1 · 2019-04-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EMWZNIW5E3DFYIHU2BUGOWDFBB}
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 | 2026-05-17T23:49:35.100942Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
232d96a2dd26c65c20f4d0686758650862c41672c0a217886fca54cabe9f6707
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EMWZNIW5E3DFYIHU2BUGOWDFBB \
| 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: 232d96a2dd26c65c20f4d0686758650862c41672c0a217886fca54cabe9f6707
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1980153676d77050f251bcde67d71317c9e79e25b5cbd389fe94e3d11170ecf1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-04-02T10:21:23Z",
"title_canon_sha256": "d2749cff318adfe66f206ced97c43b4c348b3f895192b23ed73820663d53d5a3"
},
"schema_version": "1.0",
"source": {
"id": "1904.01318",
"kind": "arxiv",
"version": 1
}
}