Pith Number
pith:4CJPZWT3
pith:2018:4CJPZWT3BU4Z3CDOF57AQSFEXN
not attested
not anchored
not stored
refs pending
CADDeLaG: Framework for distributed anomaly detection in large dense graph sequences
arxiv:1802.05421 v1 · 2018-02-15 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4CJPZWT3BU4Z3CDOF57AQSFEXN}
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 | 2026-05-18T00:23:15.732168Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e092fcda7b0d399d886e2f7e0848a4bb6b2a5e2c6bd4d8cdc769914394fb49f6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4CJPZWT3BU4Z3CDOF57AQSFEXN \
| 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: e092fcda7b0d399d886e2f7e0848a4bb6b2a5e2c6bd4d8cdc769914394fb49f6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "797ce005b5066dd1ba2893b6e7defcc1d3b18c0b75f9cbfc61e9f3caba7cd613",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2018-02-15T07:18:41Z",
"title_canon_sha256": "c7755810d9bd97dc03fa89052738aeeef2eac35abdd3caa6619fb0c24dba615c"
},
"schema_version": "1.0",
"source": {
"id": "1802.05421",
"kind": "arxiv",
"version": 1
}
}