Pith Number
pith:BP4KDO64
pith:2018:BP4KDO64Y4ODBBJII7J75E5PEU
not attested
not anchored
not stored
refs pending
Can we use Google Scholar to identify highly-cited documents?
arxiv:1804.10439 v1 · 2018-04-27 · cs.DL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BP4KDO64Y4ODBBJII7J75E5PEU}
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 | 2026-05-18T00:17:20.754890Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0bf8a1bbdcc71c30852847d3fe93af252303e8b74a10f76f93b82aa7cf999cec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BP4KDO64Y4ODBBJII7J75E5PEU \
| 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: 0bf8a1bbdcc71c30852847d3fe93af252303e8b74a10f76f93b82aa7cf999cec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca5452155d74a87f0cbc808c82afdaa8a69345a1b2602c2db09658f4198e5984",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DL",
"submitted_at": "2018-04-27T11:02:21Z",
"title_canon_sha256": "74613a86b01d84bd812ae8ea46a17000eb767eb53f86dedaf6aee5e0be2f8cbc"
},
"schema_version": "1.0",
"source": {
"id": "1804.10439",
"kind": "arxiv",
"version": 1
}
}