Pith Number

pith:M7QWNMYI

pith:2017:M7QWNMYIVD46ZATFAUHEZ3U2VG

not attested not anchored not stored refs pending

Linearly-Recurrent Autoencoder Networks for Learning Dynamics

Clarence W. Rowley, Samuel E. Otto

arxiv:1712.01378 v2 · 2017-12-04 · math.DS · cs.LG · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{M7QWNMYIVD46ZATFAUHEZ3U2VG}

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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

Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models

Receipt and verification

First computed	2026-05-17T23:56:15.406060Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

67e166b308a8f9ec8265050e4cee9aa9b2a918bc307f96b12007f70fa7e1a7d0

Aliases

arxiv: 1712.01378 · arxiv_version: 1712.01378v2 · doi: 10.48550/arxiv.1712.01378 · pith_short_12: M7QWNMYIVD46 · pith_short_16: M7QWNMYIVD46ZATF · pith_short_8: M7QWNMYI

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/M7QWNMYIVD46ZATFAUHEZ3U2VG \
  | 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: 67e166b308a8f9ec8265050e4cee9aa9b2a918bc307f96b12007f70fa7e1a7d0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3c971bf29b1315e638708b90e246bf40d73020a4db68bc924c2f3073e3e98a78",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.DS",
    "submitted_at": "2017-12-04T21:29:43Z",
    "title_canon_sha256": "855b5b52fb09ccbf7e11c4dc49bf1f50c4f2d8c575340362adb8916ed97a9e04"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1712.01378",
    "kind": "arxiv",
    "version": 2
  }
}