Pith Number
pith:GGVUHJ6V
pith:2026:GGVUHJ6VVEAS72MN6LQ34R4SOU
not attested
not anchored
not stored
refs pending
Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows
arxiv:2607.07504 v1 · 2026-07-08 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GGVUHJ6VVEAS72MN6LQ34R4SOU}
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.
Receipt and verification
| First computed | 2026-07-09T01:20:27.472099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31ab43a7d5a9012fe98df2e1be47927535179ad3e29158f504a6957e494b6040
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GGVUHJ6VVEAS72MN6LQ34R4SOU \
| 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: 31ab43a7d5a9012fe98df2e1be47927535179ad3e29158f504a6957e494b6040
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cb675665f90cfa827ebf8e7e7e79b4d1cfee8a5758ae8b715d54929f0fab2461",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-08T15:00:16Z",
"title_canon_sha256": "d53916d16244da68aa69a3868223a2b74b5636f98028ee28876784f7db0653de"
},
"schema_version": "1.0",
"source": {
"id": "2607.07504",
"kind": "arxiv",
"version": 1
}
}