Pith Number
pith:5RQKL7BO
pith:2023:5RQKL7BOIDLLSWDNT5X57X2LXM
not attested
not anchored
not stored
refs pending
CUTS: Neural Causal Discovery from Irregular Time-Series Data
arxiv:2302.07458 v1 · 2023-02-15 · cs.LG · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5RQKL7BOIDLLSWDNT5X57X2LXM}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:41:54.318771Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec60a5fc2e40d6b9586d9f6fdfdf4bbb126ace1cad04cd929a4b279cc6630ff3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5RQKL7BOIDLLSWDNT5X57X2LXM \
| 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: ec60a5fc2e40d6b9586d9f6fdfdf4bbb126ace1cad04cd929a4b279cc6630ff3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7930ce5690a0d94f89b9f6934ad57a89efab9730e4fce9a55f2fef1057f6df9",
"cross_cats_sorted": [
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-15T04:16:34Z",
"title_canon_sha256": "602cac1bfdf7c664493465c0f53e25d008fcda5b8a9e05b86213e5da59ddc166"
},
"schema_version": "1.0",
"source": {
"id": "2302.07458",
"kind": "arxiv",
"version": 1
}
}