Pith Number

pith:UTBQNSMP

pith:2023:UTBQNSMPYU3CL45YLBUNYVCBJB

not attested not anchored not stored refs pending

Learning in latent spaces improves the predictive accuracy of deep neural operators

George Em Karniadakis, Katiana Kontolati, Michael D. Shields, Somdatta Goswami

arxiv:2304.07599 v1 · 2023-04-15 · cs.LG · cs.NA · math.DS · math.NA

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\usepackage{pith}
\pithnumber{UTBQNSMPYU3CL45YLBUNYVCBJB}

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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

2 papers in Pith

Spectrally Regularized Latent Flow Matching for Turbulence Generation

$\phi-$DeepONet: A Discontinuity Capturing Neural Operator

Receipt and verification

First computed	2026-07-05T06:01:23.199055Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a4c306c98fc53625f3b85868dc544148425807670d98a93a89ea3c7ce2ecd9bb

Aliases

arxiv: 2304.07599 · arxiv_version: 2304.07599v1 · doi: 10.48550/arxiv.2304.07599 · pith_short_12: UTBQNSMPYU3C · pith_short_16: UTBQNSMPYU3CL45Y · pith_short_8: UTBQNSMP

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/UTBQNSMPYU3CL45YLBUNYVCBJB \
  | 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: a4c306c98fc53625f3b85868dc544148425807670d98a93a89ea3c7ce2ecd9bb

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c17f77eb65b3d2e4d187fca738a7027d5d83ae94e832640d9d8231dc41ba0dc0",
    "cross_cats_sorted": [
      "cs.NA",
      "math.DS",
      "math.NA"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-04-15T17:13:09Z",
    "title_canon_sha256": "dafbad9cfd3891b7d32a160099184fba977971c8b3dd3a9b4f23db1f85d80830"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2304.07599",
    "kind": "arxiv",
    "version": 1
  }
}