Pith Number
pith:I7R2ORFJ
pith:2023:I7R2ORFJJS2MTPLW4MU4YAAJS7
not attested
not anchored
not stored
refs pending
ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code
arxiv:2311.09835 v5 · 2023-11-16 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I7R2ORFJJS2MTPLW4MU4YAAJS7}
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
✓
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 | 2026-07-05T08:57:34.749564Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
47e3a744a94cb4c9bd76e329cc000997c78e6c16db887ef51f2d10e8cb522125
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I7R2ORFJJS2MTPLW4MU4YAAJS7 \
| 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: 47e3a744a94cb4c9bd76e329cc000997c78e6c16db887ef51f2d10e8cb522125
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1445b578891a6698e4f704b2ab8c63ddb62a09ce00385ac4c007fd65516d61cf",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-11-16T12:03:21Z",
"title_canon_sha256": "d852bbc0aead1ab4c321944655dab59321ac7bc3894c8148e4ac8e8c1fa35585"
},
"schema_version": "1.0",
"source": {
"id": "2311.09835",
"kind": "arxiv",
"version": 5
}
}