Pith Number
pith:AQ6WAUDZ
pith:2016:AQ6WAUDZCGOHKNK6BAWCJ2WMBU
not attested
not anchored
not stored
refs pending
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction
arxiv:1601.02376 v1 · 2016-01-11 · cs.LG · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AQ6WAUDZCGOHKNK6BAWCJ2WMBU}
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
· sign in to
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.
Receipt and verification
| First computed | 2026-05-18T01:23:06.598657Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
043d605079119c75355e082c24eacc0d198b1cb8557d46ed573464311bdf45a0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQ6WAUDZCGOHKNK6BAWCJ2WMBU \
| 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: 043d605079119c75355e082c24eacc0d198b1cb8557d46ed573464311bdf45a0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "83f23913750ce822458a088e04dd15055e89df2c7fa0ba7bc0f91c29dde57219",
"cross_cats_sorted": [
"cs.IR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-01-11T10:04:40Z",
"title_canon_sha256": "44cc3d198f83497dbfb8aba5b06dc60f7e36331467e8d45434d089f48bfe7564"
},
"schema_version": "1.0",
"source": {
"id": "1601.02376",
"kind": "arxiv",
"version": 1
}
}