Pith. sign in
Pith Number

pith:LGTTJXIX

pith:2024:LGTTJXIXA57X4YB2DINFYHD7GK
not attested not anchored not stored refs pending

Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows

Jiaxi Zhao, Shu Liu, Stanley Osher, Wuchen Li, Xinzhe Zuo

arxiv:2402.16821 v1 · 2024-02-26 · math.NA · cs.NA · math.OC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LGTTJXIXA57X4YB2DINFYHD7GK}

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 open · sign in to claim
4 Citations open
5 Replications open
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 2026-07-05T07:49:26.502036Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

59a734dd17077f7e603a1a1a5c1c7f32891b29971df2988997060dd416adf987

Aliases

arxiv: 2402.16821 · arxiv_version: 2402.16821v1 · doi: 10.48550/arxiv.2402.16821 · pith_short_12: LGTTJXIXA57X · pith_short_16: LGTTJXIXA57X4YB2 · pith_short_8: LGTTJXIX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LGTTJXIXA57X4YB2DINFYHD7GK \
  | 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: 59a734dd17077f7e603a1a1a5c1c7f32891b29971df2988997060dd416adf987
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "01afeb2bd633c79eab96276105141a7c4a917fe9077c0397207250b6cf9c8927",
    "cross_cats_sorted": [
      "cs.NA",
      "math.OC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2024-02-26T18:47:08Z",
    "title_canon_sha256": "61bee2d30cd5f5f72b46eb5f19bd28c930eab094f8117bf7deace7e163869b98"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.16821",
    "kind": "arxiv",
    "version": 1
  }
}