Pith Number
pith:NQ5C7WQU
pith:2025:NQ5C7WQUFLUVDCSJRKORDI7OZP
not attested
not anchored
not stored
refs pending
SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs
arxiv:2504.08192 v1 · 2025-04-11 · cs.LG · cs.AI · cs.CL · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NQ5C7WQUFLUVDCSJRKORDI7OZP}
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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 | 2026-07-05T10:47:44.734124Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c3a2fda142ae9518a498a9d11a3eecbe385320f630f9b713017a67748f30b22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NQ5C7WQUFLUVDCSJRKORDI7OZP \
| 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: 6c3a2fda142ae9518a498a9d11a3eecbe385320f630f9b713017a67748f30b22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4595fd4a3e249c02ad7018052f95803610b52a52790ad8f9e5cfe490c1c46b80",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-11T01:24:03Z",
"title_canon_sha256": "6a1201e5bbe184605e2b9b5cfa28a40e812faf566a8d2250b292397dfda296bf"
},
"schema_version": "1.0",
"source": {
"id": "2504.08192",
"kind": "arxiv",
"version": 1
}
}