Pith Number
pith:NAJV3JVO
pith:2023:NAJV3JVOS2W3HWAZXF4C4PRETJ
not attested
not anchored
not stored
refs pending
Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
arxiv:2310.16406 v2 · 2023-10-25 · cs.CR · cs.AI · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NAJV3JVOS2W3HWAZXF4C4PRETJ}
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 | 2026-07-05T11:33:13.037309Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
68135da6ae96adb3d819b9782e3e249a60bb09cae0942bdebe5ab458374d40bb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NAJV3JVOS2W3HWAZXF4C4PRETJ \
| 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: 68135da6ae96adb3d819b9782e3e249a60bb09cae0942bdebe5ab458374d40bb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "40a821ed7b5ff496467e42dd393d0aeb5b5faef02a7485bad60d52e272b89530",
"cross_cats_sorted": [
"cs.AI",
"eess.SP"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2023-10-25T06:45:49Z",
"title_canon_sha256": "8c9798952cdee1d8e518528f9d7be75d29bae5a8fd110dc41c07dfb117026454"
},
"schema_version": "1.0",
"source": {
"id": "2310.16406",
"kind": "arxiv",
"version": 2
}
}