Pith Number
pith:NXGXNDID
pith:2022:NXGXNDIDWUWC3E3STM7DTV6UKM
not attested
not anchored
not stored
refs pending
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation
arxiv:2201.10055 v2 · 2022-01-25 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NXGXNDIDWUWC3E3STM7DTV6UKM}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:54:17.965901Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6dcd768d03b52c2d93729b3e39d7d4531e0ccdc87bf17b0d4771013080d5a261
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NXGXNDIDWUWC3E3STM7DTV6UKM \
| 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: 6dcd768d03b52c2d93729b3e39d7d4531e0ccdc87bf17b0d4771013080d5a261
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "69c3c05ccdff69491491b3a0de197affb6a9d04bcbac76e144af4bf53771a947",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-25T02:36:34Z",
"title_canon_sha256": "e9e9f449e035d5767145fa7a5718ba1df2c352409ae7c6fae0a47a97d516d9bc"
},
"schema_version": "1.0",
"source": {
"id": "2201.10055",
"kind": "arxiv",
"version": 2
}
}