Pith Number
pith:2XYD42SS
pith:2023:2XYD42SSKID2KFFFT7UK4XDBFF
not attested
not anchored
not stored
refs pending
Tools for Verifying Neural Models' Training Data
arxiv:2307.00682 v1 · 2023-07-02 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2XYD42SSKID2KFFFT7UK4XDBFF}
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 | 2026-07-05T06:26:58.941435Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d5f03e6a525207a514a59fe8ae5c61297b060518ebd83217b7bb8a9d667f2634
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2XYD42SSKID2KFFFT7UK4XDBFF \
| 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: d5f03e6a525207a514a59fe8ae5c61297b060518ebd83217b7bb8a9d667f2634
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d53ec20c54329e325bc24e84c88493c7a311dd9c582571e9a386609389d9c189",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-07-02T23:27:00Z",
"title_canon_sha256": "6801af9c22883497d50d1c77e6d88509df578f6a98211eede3c294dcf63b8ecf"
},
"schema_version": "1.0",
"source": {
"id": "2307.00682",
"kind": "arxiv",
"version": 1
}
}