Pith Number
pith:WUDFDUTR
pith:2013:WUDFDUTRVRZESPEFMVBXGCSNGJ
not attested
not anchored
not stored
refs pending
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss
arxiv:1303.1733 v2 · 2013-03-07 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WUDFDUTRVRZESPEFMVBXGCSNGJ}
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 | 2026-05-18T03:22:05.365709Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b50651d271ac72493c856543730a4d327467081cbb581ef6d4cec639147e3d68
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WUDFDUTRVRZESPEFMVBXGCSNGJ \
| 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: b50651d271ac72493c856543730a4d327467081cbb581ef6d4cec639147e3d68
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7f88027b87b896f1159560e3b1aefe3c0020b3f4277cb2506d424abb4ec01bf9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2013-03-07T16:10:44Z",
"title_canon_sha256": "6642243f9951c7ad18c3270d5b556fc7d9ae232726fd08fd59f965ff0dab5ccc"
},
"schema_version": "1.0",
"source": {
"id": "1303.1733",
"kind": "arxiv",
"version": 2
}
}