Pith Number
pith:VHIKQTNH
pith:2021:VHIKQTNHKUDFKZCOIAANLHEF7L
not attested
not anchored
not stored
refs pending
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
arxiv:2107.06946 v1 · 2021-07-14 · cs.CR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VHIKQTNHKUDFKZCOIAANLHEF7L}
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 | 2026-07-05T02:58:08.439180Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9d0a84da7550655644e4000d59c85fad827f58b4d5857e7edbba65f9a89848b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VHIKQTNHKUDFKZCOIAANLHEF7L \
| 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: a9d0a84da7550655644e4000d59c85fad827f58b4d5857e7edbba65f9a89848b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ef630b12bc0047dcd4319788631396ad8bf6096a7ce61b47065e8c75f6a2f7b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2021-07-14T19:25:25Z",
"title_canon_sha256": "5fb6e234c58c516cde98432c54336b04473dc436e384ef6d2f98922a69b33c3c"
},
"schema_version": "1.0",
"source": {
"id": "2107.06946",
"kind": "arxiv",
"version": 1
}
}