Pith Number

pith:MNNTM7BE

pith:2022:MNNTM7BEKERVUKEZEYMGU7CRRY

not attested not anchored not stored refs pending

Neural Piecewise-Constant Delay Differential Equations

Dongsheng Li, Qunxi Zhu, Wei Lin, Yifei Shen

arxiv:2201.00960 v1 · 2022-01-04 · cs.LG · cs.AI · math.DS · nlin.CD

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{MNNTM7BEKERVUKEZEYMGU7CRRY}

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

The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property

Receipt and verification

First computed	2026-07-05T03:45:14.624713Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

635b367c2451235a289926186a7c518e00ad5d4ec203bdf8652406831d3d21c0

Aliases

arxiv: 2201.00960 · arxiv_version: 2201.00960v1 · doi: 10.48550/arxiv.2201.00960 · pith_short_12: MNNTM7BEKERV · pith_short_16: MNNTM7BEKERVUKEZ · pith_short_8: MNNTM7BE

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/MNNTM7BEKERVUKEZEYMGU7CRRY \
  | 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: 635b367c2451235a289926186a7c518e00ad5d4ec203bdf8652406831d3d21c0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "46cb871f103f908e8af7b4bda33b4dd6510efded168b9a0bfd3ea628b1e9a29e",
    "cross_cats_sorted": [
      "cs.AI",
      "math.DS",
      "nlin.CD"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-01-04T03:44:15Z",
    "title_canon_sha256": "0a03e72d462a5aef3fa5070bb1dcb8135f9067a5791d5c2f340955f5889b4a11"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2201.00960",
    "kind": "arxiv",
    "version": 1
  }
}