Pith Number
pith:2T62Q75O
pith:2025:2T62Q75OVDFGBXBLPJKV5BHGUP
not attested
not anchored
not stored
refs pending
On the importance of multiple training seeds for evaluating machine unlearning
arxiv:2510.26714 v5 · 2025-10-30 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2T62Q75OVDFGBXBLPJKV5BHGUP}
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
✓
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 | 2026-06-08T01:03:50.513265Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4fda87faea8ca60dc2b7a555e84e6a3d71dfb1c48c73de091cf3d6118b7f284
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2T62Q75OVDFGBXBLPJKV5BHGUP \
| 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: d4fda87faea8ca60dc2b7a555e84e6a3d71dfb1c48c73de091cf3d6118b7f284
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f581e47274f3bf3aedd6a1bc1d6ac68ad880c9e0cbc94045a9a900a5dd3f5a7b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-10-30T17:13:42Z",
"title_canon_sha256": "642cb1a8a662815c6e5dde7cb2dc6ee321c154036608c9df0e75e85fe90fde4e"
},
"schema_version": "1.0",
"source": {
"id": "2510.26714",
"kind": "arxiv",
"version": 5
}
}