Pith. sign in
Pith Number

pith:KZVD3M5B

pith:2023:KZVD3M5BRPAIDMJCH4BHXCDYIX
not attested not anchored not stored refs pending

Time and State Dependent Neural Delay Differential Equations

Guillaume Charpiat (TAU), Lionel Mathelin (DATAFLOT), Onofrio Semeraro (DATAFLOT), TAU), Thibault Monsel (DATAFLOT

arxiv:2306.14545 v2 · 2023-06-26 · cs.AI · math.DS

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KZVD3M5BRPAIDMJCH4BHXCDYIX}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T09:12:00.220970Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

566a3db3a18bc081b1223f027b887845c4bb07828da182f1c9c9dde199501fdb

Aliases

arxiv: 2306.14545 · arxiv_version: 2306.14545v2 · doi: 10.48550/arxiv.2306.14545 · pith_short_12: KZVD3M5BRPAI · pith_short_16: KZVD3M5BRPAIDMJC · pith_short_8: KZVD3M5B
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZVD3M5BRPAIDMJCH4BHXCDYIX \
  | 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: 566a3db3a18bc081b1223f027b887845c4bb07828da182f1c9c9dde199501fdb
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9127ff0664e3a26a2ce243c76a78dd3ee6fffbb7c243a34cb5f0db7f732975e5",
    "cross_cats_sorted": [
      "math.DS"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-06-26T09:35:56Z",
    "title_canon_sha256": "29ad72bb497af00c61940a01e8110e09f92dc68cfd0b5923b77671f91e717109"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.14545",
    "kind": "arxiv",
    "version": 2
  }
}