Pith Number
pith:FVL3JONX
pith:2025:FVL3JONXAPIWDURWJLCAXVPNP7
not attested
not anchored
not stored
refs pending
Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
arxiv:2506.09593 v1 · 2025-06-11 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FVL3JONXAPIWDURWJLCAXVPNP7}
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
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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 | 2026-07-05T11:19:39.467591Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d57b4b9b703d161d2364ac40bd5ed7fdb2996e4a7507c4a3498a9bf00f9f23b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FVL3JONXAPIWDURWJLCAXVPNP7 \
| 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: 2d57b4b9b703d161d2364ac40bd5ed7fdb2996e4a7507c4a3498a9bf00f9f23b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f5c25c80b60affe5140fc32a59631ac6491fb362ce244f7cfb95aa1cc01ac3d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-11T10:48:36Z",
"title_canon_sha256": "6d9ca180059f8fcf0440a7f2ce370a045a3a30d8ac37a89835a0616085387c6b"
},
"schema_version": "1.0",
"source": {
"id": "2506.09593",
"kind": "arxiv",
"version": 1
}
}