Pith Number
pith:7IFCB2C5
pith:2023:7IFCB2C5AKY7QCARS3DB7PDAVG
not attested
not anchored
not stored
refs pending
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks
arxiv:2307.14751 v3 · 2023-07-27 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7IFCB2C5AKY7QCARS3DB7PDAVG}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T06:53:42.688829Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fa0a20e85d02b1f8081196c61fbc60a99aaa40bd39779a855fe18e01b7dfd812
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7IFCB2C5AKY7QCARS3DB7PDAVG \
| 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: fa0a20e85d02b1f8081196c61fbc60a99aaa40bd39779a855fe18e01b7dfd812
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6d7c8478ebc72a4ca1947199f6a7d78f029befa4752dff01f32711366b1156d8",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-07-27T10:19:10Z",
"title_canon_sha256": "34bc37813b209c7fd59db763b311678df9ea86adee398aaadf855020e5bf65a3"
},
"schema_version": "1.0",
"source": {
"id": "2307.14751",
"kind": "arxiv",
"version": 3
}
}