Pith Number
pith:SW7JFUHE
pith:2025:SW7JFUHELYM7CKAPQFFFVKJ44Z
not attested
not anchored
not stored
refs pending
Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP
arxiv:2505.11189 v3 · 2025-05-16 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SW7JFUHELYM7CKAPQFFFVKJ44Z}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-06-09T01:05:06.651226Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
95be92d0e45e19f1280f814a5aa93ce67fa85a918b0ae8e89b8c5573b4e57a9e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SW7JFUHELYM7CKAPQFFFVKJ44Z \
| 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: 95be92d0e45e19f1280f814a5aa93ce67fa85a918b0ae8e89b8c5573b4e57a9e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "968aeb87c53a5d7d6e3a9eb28cd9273645de216a844fd4cae4331aa091ec6f0f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-05-16T12:48:44Z",
"title_canon_sha256": "fac6d3c1c904e40d2106dbc7679bedf2a2dc52ea3d31982282f4a35f58974902"
},
"schema_version": "1.0",
"source": {
"id": "2505.11189",
"kind": "arxiv",
"version": 3
}
}