Pith Number

pith:R3XGIUUG

pith:2024:R3XGIUUGCHJ66LEIGSLEYYILMR

not attested not anchored not stored refs pending

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators

Kenji Kawaguchi, Min Lin, Zekun Shi, Zheyuan Hu

arxiv:2412.00088 v2 · 2024-11-27 · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{R3XGIUUGCHJ66LEIGSLEYYILMR}

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

PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations

Receipt and verification

First computed	2026-07-05T09:59:56.055702Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8eee64528611d3ef2c8834964c610b64429ac7b08cf4253ab5654f0c8abe0025

Aliases

arxiv: 2412.00088 · arxiv_version: 2412.00088v2 · doi: 10.48550/arxiv.2412.00088 · pith_short_12: R3XGIUUGCHJ6 · pith_short_16: R3XGIUUGCHJ66LEI · pith_short_8: R3XGIUUG

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/R3XGIUUGCHJ66LEIGSLEYYILMR \
  | 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: 8eee64528611d3ef2c8834964c610b64429ac7b08cf4253ab5654f0c8abe0025

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "14896fdafd550e224fdade94a415b42271c17cd28124299190cd0649431a1116",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-11-27T09:37:33Z",
    "title_canon_sha256": "38eb4123cd7324cd602b743f0a366005f25f5a0bbe5f30f62af0a5e29a8c6fbb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.00088",
    "kind": "arxiv",
    "version": 2
  }
}