Pith Number
pith:FCRA3U7K
pith:2025:FCRA3U7KM2BZ7ZZNZTGGRXQPH7
not attested
not anchored
not stored
refs pending
Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster
arxiv:2507.09786 v3 · 2025-07-13 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FCRA3U7KM2BZ7ZZNZTGGRXQPH7}
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 | 2026-07-05T11:48:27.192033Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28a20dd3ea66839fe72dcccc68de0f3fc3a69f95f76d63a6b765007db2b21264
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FCRA3U7KM2BZ7ZZNZTGGRXQPH7 \
| 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: 28a20dd3ea66839fe72dcccc68de0f3fc3a69f95f76d63a6b765007db2b21264
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "73553141011c1939a6b7c1cce59610651f05980e57f763ce9932312638ff6ba9",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-13T20:57:31Z",
"title_canon_sha256": "ba0f4dc0c3dcf839ee12bcdca86d63bf06d63ef238874afcfb4640cc35699e92"
},
"schema_version": "1.0",
"source": {
"id": "2507.09786",
"kind": "arxiv",
"version": 3
}
}