Pith Number
pith:TXRRQ36S
pith:2022:TXRRQ36SQCWZGTP6VXHSX5ZCHA
not attested
not anchored
not stored
refs pending
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python
arxiv:2205.02648 v2 · 2022-05-05 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TXRRQ36SQCWZGTP6VXHSX5ZCHA}
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.
Receipt and verification
| First computed | 2026-07-05T05:00:16.340844Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9de3186fd280ad934dfeadcf2bf722381015f2d88136f9e0cb470d62256c6449
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TXRRQ36SQCWZGTP6VXHSX5ZCHA \
| 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: 9de3186fd280ad934dfeadcf2bf722381015f2d88136f9e0cb470d62256c6449
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1b60eed7e489aa38222f43c2ca48b6c9eed155c24b91ba2b1ef59487813bb279",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2022-05-05T13:48:27Z",
"title_canon_sha256": "bd05ee333d812c3d17229b163452409c3f8b5bb59fcdd1dedf35a3fe48200172"
},
"schema_version": "1.0",
"source": {
"id": "2205.02648",
"kind": "arxiv",
"version": 2
}
}