Pith Number
pith:VCONX27A
pith:2023:VCONX27AEGRIV5IE3B2V6O7YOH
not attested
not anchored
not stored
refs pending
Safer Together: Machine Learning Models Trained on Shared Accident Datasets Predict Construction Injuries Better than Company-Specific Models
arxiv:2301.03567 v1 · 2023-01-09 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VCONX27AEGRIV5IE3B2V6O7YOH}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
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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 | 2026-07-05T05:31:37.027825Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a89cdbebe021a28af504d8755f3bf871c2746292fe9e537b590bff9abb7a28ee
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VCONX27AEGRIV5IE3B2V6O7YOH \
| 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: a89cdbebe021a28af504d8755f3bf871c2746292fe9e537b590bff9abb7a28ee
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fa092edf0d96e786d00c395d06f72299b436d06a0d701ce74d20e54ac637266c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-01-09T18:37:40Z",
"title_canon_sha256": "4ef93ca593bda4aa5fd7cae809bef6253f04f1a13477b49e476d9ef04b3b30ad"
},
"schema_version": "1.0",
"source": {
"id": "2301.03567",
"kind": "arxiv",
"version": 1
}
}