Pith Number
pith:QORBMVDZ
pith:2019:QORBMVDZ3D6QXVCEHIQ2WSJRXN
not attested
not anchored
not stored
refs pending
User Diverse Preference Modeling by Multimodal Attentive Metric Learning
arxiv:1908.07738 v1 · 2019-08-21 · cs.IR · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QORBMVDZ3D6QXVCEHIQ2WSJRXN}
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 | 2026-07-04T23:59:00.805881Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
83a2165479d8fd0bd4443a21ab4931bb6ac008add60fd1cfd09e23489020a077
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QORBMVDZ3D6QXVCEHIQ2WSJRXN \
| 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: 83a2165479d8fd0bd4443a21ab4931bb6ac008add60fd1cfd09e23489020a077
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "266396bf6250bfa8eae0ce1dbfd5bce09ffc87010da4fc562a506ed5d408c6ed",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IR",
"submitted_at": "2019-08-21T07:52:39Z",
"title_canon_sha256": "4c561f2de17060b4448e15116d957b3e756a55420e36ea94178954911a9e15f4"
},
"schema_version": "1.0",
"source": {
"id": "1908.07738",
"kind": "arxiv",
"version": 1
}
}