Pith Number
pith:GXYNBX4W
pith:2017:GXYNBX4W2FPBPBONWQFKPABEJI
not attested
not anchored
not stored
refs pending
PriMaL: A Privacy-Preserving Machine Learning Method for Event Detection in Distributed Sensor Networks
arxiv:1703.07150 v1 · 2017-03-21 · cs.DC · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GXYNBX4W2FPBPBONWQFKPABEJI}
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 | 2026-05-18T00:48:11.183382Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35f0d0df96d15e1785cdb40aa780244a1c5bb1aecd73d8bbe7165be4122d0c38
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GXYNBX4W2FPBPBONWQFKPABEJI \
| 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: 35f0d0df96d15e1785cdb40aa780244a1c5bb1aecd73d8bbe7165be4122d0c38
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee2f7a38181b96f65d302945534a32eb15ee242a5031f8a2b22a4dc92dce6ea5",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2017-03-21T11:15:15Z",
"title_canon_sha256": "852f8409a7395c46d829fb222b576a500c684fbe36bbc3580be58ed61dd0cab2"
},
"schema_version": "1.0",
"source": {
"id": "1703.07150",
"kind": "arxiv",
"version": 1
}
}