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Pith Number

pith:7MPDYKOJ

pith:2025:7MPDYKOJQ76YICJENCJ5LGGAOG
not attested not anchored not stored refs pending

Beyond Universal Approximation Theorems: Algorithmic Uniform Approximation by Neural Networks Trained with Noisy Data

Anastasis Kratsios, Daniel Roy, Tin Sum Cheng

arxiv:2509.00924 v1 · 2025-08-31 · stat.ML · cs.LG · cs.NA · cs.NE · math.NA · math.PR

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7MPDYKOJQ76YICJENCJ5LGGAOG}

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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 2026-07-05T12:02:24.725788Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fb1e3c29c987fd8409246893d598c071a86f6d30192985e24711c1f73694a213

Aliases

arxiv: 2509.00924 · arxiv_version: 2509.00924v1 · doi: 10.48550/arxiv.2509.00924 · pith_short_12: 7MPDYKOJQ76Y · pith_short_16: 7MPDYKOJQ76YICJE · pith_short_8: 7MPDYKOJ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7MPDYKOJQ76YICJENCJ5LGGAOG \
  | 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: fb1e3c29c987fd8409246893d598c071a86f6d30192985e24711c1f73694a213
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1fce652a97325c44e95343874d1cf9d7df791cb739663de510b6d181b30aba24",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.NA",
      "cs.NE",
      "math.NA",
      "math.PR"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2025-08-31T16:20:27Z",
    "title_canon_sha256": "7a310d708c03061762dcd9392906f1afef80758260db0ce6d8f5ac0d37bdc281"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.00924",
    "kind": "arxiv",
    "version": 1
  }
}