Pith Number
pith:2KVB7Q2A
pith:2023:2KVB7Q2ARKF3WEQ6QU7PQBKKLK
not attested
not anchored
not stored
refs pending
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training
arxiv:2309.15881 v1 · 2023-09-27 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2KVB7Q2ARKF3WEQ6QU7PQBKKLK}
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 | 2026-07-05T06:55:07.837405Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d2aa1fc3408a8bbb121e853ef8054a5a89dfcf4f850dc164016309e8a29fdec1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2KVB7Q2ARKF3WEQ6QU7PQBKKLK \
| 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: d2aa1fc3408a8bbb121e853ef8054a5a89dfcf4f850dc164016309e8a29fdec1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6884ae32da6e900c1c18e75705339e3fd54b401eda70795293ac5594d5428a40",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-09-27T09:32:10Z",
"title_canon_sha256": "89a0ba3f32ff23b3a1ef09172c06dbb4c6ad771b37a6edfb821e6e80c3aad88e"
},
"schema_version": "1.0",
"source": {
"id": "2309.15881",
"kind": "arxiv",
"version": 1
}
}