Pith Number
pith:GMNDFVB7
pith:2025:GMNDFVB735DG3K7NXWZZWQXX4A
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refs pending
Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models
arxiv:2503.22720 v1 · 2025-03-25 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GMNDFVB735DG3K7NXWZZWQXX4A}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T10:41:24.311569Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
331a32d43fdf466dabedbdb39b42f7e02746a9f2f9c2513c249cfa57a9d262b0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GMNDFVB735DG3K7NXWZZWQXX4A \
| 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: 331a32d43fdf466dabedbdb39b42f7e02746a9f2f9c2513c249cfa57a9d262b0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3cf7f078206330b4698d89a6c51973f9ca0bb1163cff865cfc8012340afeae2",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-25T20:32:15Z",
"title_canon_sha256": "1fb89933336a3adda9520ab92d44f249a704b28c6f4fbdf157e789e950f7b7bd"
},
"schema_version": "1.0",
"source": {
"id": "2503.22720",
"kind": "arxiv",
"version": 1
}
}