Pith Number
pith:4GJKQB6D
pith:2025:4GJKQB6D7LCOQYXKOZQR4JCR74
not attested
not anchored
not stored
refs pending
MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
arxiv:2506.12551 v2 · 2025-06-14 · cs.CR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4GJKQB6D7LCOQYXKOZQR4JCR74}
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 | 2026-07-05T12:00:02.399023Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e192a807c3fac4e862ea76611e2451ff087dee0b8f92041f4a9e56d026e53aa1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4GJKQB6D7LCOQYXKOZQR4JCR74 \
| 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: e192a807c3fac4e862ea76611e2451ff087dee0b8f92041f4a9e56d026e53aa1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "789e5fe9f85a020639fc0c42a10566980e6097276987a0ca47a6d55764c811b5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-06-14T15:48:53Z",
"title_canon_sha256": "1ee61011ad3b7a14b368316d153cf755141cefe77bbd794368f4ad6cfa262bbd"
},
"schema_version": "1.0",
"source": {
"id": "2506.12551",
"kind": "arxiv",
"version": 2
}
}