Pith Number
pith:LEG627VR
pith:2025:LEG627VRGNHWS7ZV7FSIMG77LW
not attested
not anchored
not stored
refs pending
Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?
arxiv:2506.07871 v1 · 2025-06-09 · cs.LG · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LEG627VRGNHWS7ZV7FSIMG77LW}
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
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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 | 2026-07-05T11:18:34.700458Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
590ded7eb1334f697f35f964861bff5d875bde8cb25a8a27236013573f78ab37
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LEG627VRGNHWS7ZV7FSIMG77LW \
| 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: 590ded7eb1334f697f35f964861bff5d875bde8cb25a8a27236013573f78ab37
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c078753f269a18e98becaed2701e9daa076cc478a9c7c1dfb4cc85a13d3860f",
"cross_cats_sorted": [
"cs.SE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-09T15:40:32Z",
"title_canon_sha256": "cc386f458f8159707adabc8719ff737104385891174762f138d03b9982ed411c"
},
"schema_version": "1.0",
"source": {
"id": "2506.07871",
"kind": "arxiv",
"version": 1
}
}