Pith Number
pith:5KT5NQYA
pith:2024:5KT5NQYAVFG2UCD3DGDTAXOJ4C
not attested
not anchored
not stored
refs pending
Approaching Human-Level Forecasting with Language Models
arxiv:2402.18563 v1 · 2024-02-28 · cs.LG · cs.AI · cs.CL · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5KT5NQYAVFG2UCD3DGDTAXOJ4C}
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 | 2026-07-05T07:50:17.370028Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eaa7d6c300a94daa087b1987305dc9e0bed99868b6cd793fe162d11e4819f6d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5KT5NQYAVFG2UCD3DGDTAXOJ4C \
| 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: eaa7d6c300a94daa087b1987305dc9e0bed99868b6cd793fe162d11e4819f6d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ba9e2e17aee463a20004b3568f82f9520683e0428336697d305750a524648d12",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.IR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-28T18:54:18Z",
"title_canon_sha256": "4a9c96b4eac217da04797debba7f10cd9835ddd244ddcb63aa2ee4da4065e037"
},
"schema_version": "1.0",
"source": {
"id": "2402.18563",
"kind": "arxiv",
"version": 1
}
}