Pith Number

pith:TCDQLYHH

pith:2022:TCDQLYHHAODBNR7Y6IW6GENGQF

not attested not anchored not stored refs pending

Convergence analysis of a quasi-Monte Carlo-based deep learning algorithm for solving partial differential equations

Fengjiang Fu, Xiaoqun Wang

arxiv:2210.16196 v1 · 2022-10-28 · math.NA · cs.LG · cs.NA

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{TCDQLYHHAODBNR7Y6IW6GENGQF}

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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

A novel number-theoretic sampling method for neural network solutions of partial differential equations

Receipt and verification

First computed	2026-07-05T05:11:31.390606Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

988705e0e7038616c7f8f22de311a6817597aadc6c911a744160bbc54cac8373

Aliases

arxiv: 2210.16196 · arxiv_version: 2210.16196v1 · doi: 10.48550/arxiv.2210.16196 · pith_short_12: TCDQLYHHAODB · pith_short_16: TCDQLYHHAODBNR7Y · pith_short_8: TCDQLYHH

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/TCDQLYHHAODBNR7Y6IW6GENGQF \
  | 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: 988705e0e7038616c7f8f22de311a6817597aadc6c911a744160bbc54cac8373

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d1caa9983b0fb2caeeeb3f4d9740748d0142b036baff62af05c4b8a8d918be18",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.NA"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2022-10-28T15:06:57Z",
    "title_canon_sha256": "5941a58dfb5eb4d0a91d2d4df99ba3586479180c04f48c7d87e6edeb8248116c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2210.16196",
    "kind": "arxiv",
    "version": 1
  }
}