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Pith Number

pith:MYCFOUGM

pith:2025:MYCFOUGM65BOOFHFHYTKX5E2IO
not attested not anchored not stored refs pending

A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs

Alessandro Longhi, Danny Lathouwers, Zolt\'an Perk\'o

arxiv:2502.08683 v1 · 2025-02-12 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MYCFOUGM65BOOFHFHYTKX5E2IO}

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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.
Receipt and verification
First computed 2026-07-05T10:13:28.473549Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

66045750ccf742e714e53e26abf49a438f5d46348d4429b48eed19b8f618d59b

Aliases

arxiv: 2502.08683 · arxiv_version: 2502.08683v1 · doi: 10.48550/arxiv.2502.08683 · pith_short_12: MYCFOUGM65BO · pith_short_16: MYCFOUGM65BOOFHF · pith_short_8: MYCFOUGM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MYCFOUGM65BOOFHFHYTKX5E2IO \
  | 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: 66045750ccf742e714e53e26abf49a438f5d46348d4429b48eed19b8f618d59b
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "527a0c6c3c06f8e39f1d410c925ae8f542a07021c34f3a389c2b8dffbaa6de50",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-02-12T11:16:15Z",
    "title_canon_sha256": "1e3ed5d7319d9e1fe5b6138da53a77fa58f2486c25f1a6e0158732496712d6c9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2502.08683",
    "kind": "arxiv",
    "version": 1
  }
}