Pith Number
pith:4ZDYVDIJ
pith:2024:4ZDYVDIJPFWLTIMK3D5NH55YGD
not attested
not anchored
not stored
refs pending
Can In-context Learning Really Generalize to Out-of-distribution Tasks?
arxiv:2410.09695 v3 · 2024-10-13 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4ZDYVDIJPFWLTIMK3D5NH55YGD}
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 | 2026-07-05T09:44:15.505582Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e6478a8d09796cb9a18ad8fad3f7b830dcd355a70d9166b7dca143cf19236998
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4ZDYVDIJPFWLTIMK3D5NH55YGD \
| 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: e6478a8d09796cb9a18ad8fad3f7b830dcd355a70d9166b7dca143cf19236998
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7be86d4403d21d9cd31e777e6e586b0a71919a7d7f354ca1f44333d9be6fe1be",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-13T02:10:26Z",
"title_canon_sha256": "104d78cd004b1044c92400f04e45b5f0b0a3a055a1be1a6da0bc0d52d41020c7"
},
"schema_version": "1.0",
"source": {
"id": "2410.09695",
"kind": "arxiv",
"version": 3
}
}