Pith Number
pith:DWTPUJU7
pith:2019:DWTPUJU77F64BQO25URDVY3QDV
not attested
not anchored
not stored
refs pending
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
arxiv:1905.02138 v1 · 2019-05-06 · cs.SI · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DWTPUJU77F64BQO25URDVY3QDV}
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 | 2026-05-17T23:46:56.272483Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1da6fa269ff97dc0c1daed223ae3701d6ae644a7080d7c5fa16cea47d5ffd811
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DWTPUJU77F64BQO25URDVY3QDV \
| 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: 1da6fa269ff97dc0c1daed223ae3701d6ae644a7080d7c5fa16cea47d5ffd811
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "474e3dc026091c30b77c28ba9ba762b3d9cf0627afdd4dd964183ed96abb23a5",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SI",
"submitted_at": "2019-05-06T16:46:38Z",
"title_canon_sha256": "fd0e9f0d660a6dc3966a6233635ac55ee7b91ac42b2157c9654f69969c8cd08b"
},
"schema_version": "1.0",
"source": {
"id": "1905.02138",
"kind": "arxiv",
"version": 1
}
}