Pith Number
pith:2K5ZTRAL
pith:2021:2K5ZTRALBLL6V7U6Q4XHPZUS2R
not attested
not anchored
not stored
refs pending
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
arxiv:2111.14036 v1 · 2021-11-28 · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2K5ZTRALBLL6V7U6Q4XHPZUS2R}
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 | 2026-07-05T03:35:38.535573Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d2bb99c40b0ad7eafe9e872e77e692d44ec7496635f25c90263fdbcbbf6d5089
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2K5ZTRALBLL6V7U6Q4XHPZUS2R \
| 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: d2bb99c40b0ad7eafe9e872e77e692d44ec7496635f25c90263fdbcbbf6d5089
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f0c3bbf50b1c8e263b12ebab844b046dacffe56bc14ad1eff044bc04a3e81d4f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2021-11-28T03:16:07Z",
"title_canon_sha256": "2a1bf6c368bc9162eb0755364ffb8f4b939286d12112331f40fe2690ef910c09"
},
"schema_version": "1.0",
"source": {
"id": "2111.14036",
"kind": "arxiv",
"version": 1
}
}