Pith Number
pith:6LO74SKT
pith:2024:6LO74SKT3BVSGIWISJAEDJBW7A
not attested
not anchored
not stored
refs pending
An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks
arxiv:2406.01653 v1 · 2024-06-03 · stat.ML · cs.LG · math.PR · stat.AP · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6LO74SKT3BVSGIWISJAEDJBW7A}
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 | 2026-07-05T08:26:46.199013Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f2ddfe4953d86b2322c8924041a436f826aac484961a2c4e6dd116dc57b3e2a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6LO74SKT3BVSGIWISJAEDJBW7A \
| 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: f2ddfe4953d86b2322c8924041a436f826aac484961a2c4e6dd116dc57b3e2a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3c3bb6a0071daa12503c35667cc6678a447eb68680f17c80637c7529db7ed121",
"cross_cats_sorted": [
"cs.LG",
"math.PR",
"stat.AP",
"stat.ME"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-06-03T16:26:24Z",
"title_canon_sha256": "9210e10fef79b21aa965ae83809468248278a6bcdb77943834972c7c67dfc089"
},
"schema_version": "1.0",
"source": {
"id": "2406.01653",
"kind": "arxiv",
"version": 1
}
}