Pith Number
pith:XJS4KDVO
pith:2022:XJS4KDVO5PSVP3L76RXU7RDLGE
not attested
not anchored
not stored
refs pending
Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers
arxiv:2212.10559 v3 · 2022-12-20 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XJS4KDVO5PSVP3L76RXU7RDLGE}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:09:47.319664Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ba65c50eaeebe557ed7ff46f4fc46b31112645d3e7be804f6f64309742d4a55d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XJS4KDVO5PSVP3L76RXU7RDLGE \
| 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: ba65c50eaeebe557ed7ff46f4fc46b31112645d3e7be804f6f64309742d4a55d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5572a489d43f509b6ed9fc86fb460edff1b60e1cb01b66aebe0669af7d091d60",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-12-20T18:58:48Z",
"title_canon_sha256": "85d5aae217fc86bf6ff9e7bd1e1a30ae1be7a7d461df81fcf885830126b163a9"
},
"schema_version": "1.0",
"source": {
"id": "2212.10559",
"kind": "arxiv",
"version": 3
}
}