Pith Number
pith:IKIL3VFS
pith:2024:IKIL3VFS7D2MD64VXGFKRBYADK
not attested
not anchored
not stored
refs pending
Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering
arxiv:2411.12137 v3 · 2024-11-19 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IKIL3VFS7D2MD64VXGFKRBYADK}
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 | 2026-07-05T11:52:00.837324Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4290bdd4b2f8f4c1fb95b98aa887001aae0db1e7be179e1e32f972c91bcb01c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IKIL3VFS7D2MD64VXGFKRBYADK \
| 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: 4290bdd4b2f8f4c1fb95b98aa887001aae0db1e7be179e1e32f972c91bcb01c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a4433b995fcaf1f9398b5e4549eecfeab10429691f048912b2dbe3b79874e4d7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2024-11-19T00:28:20Z",
"title_canon_sha256": "1d83b4ceb440799e0f820aa718ffb354ccb035bb34751808cd5d910ced18f0ef"
},
"schema_version": "1.0",
"source": {
"id": "2411.12137",
"kind": "arxiv",
"version": 3
}
}