Pith Number
pith:CRUAOH7D
pith:2023:CRUAOH7DPILPL3OMLMZXN6DU7F
not attested
not anchored
not stored
refs pending
Study of Distractors in Neural Models of Code
arxiv:2303.01739 v1 · 2023-03-03 · cs.LG · cs.PL · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CRUAOH7DPILPL3OMLMZXN6DU7F}
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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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 | 2026-07-05T06:40:32.180511Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1468071fe37a16f5edcc5b3376f874f96235659a45b64c19c1bdb9c2169323ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CRUAOH7DPILPL3OMLMZXN6DU7F \
| 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: 1468071fe37a16f5edcc5b3376f874f96235659a45b64c19c1bdb9c2169323ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "77e1612a72ddb88d6db8593c1ea8b0f4335335b050b5d4fe24474d7a98363718",
"cross_cats_sorted": [
"cs.PL",
"cs.SE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-03-03T06:54:01Z",
"title_canon_sha256": "de2414ccaae9e68be9c6f2882de0c1652feb5d6e1564893d279b37c8dadf3930"
},
"schema_version": "1.0",
"source": {
"id": "2303.01739",
"kind": "arxiv",
"version": 1
}
}