Pith Number

pith:DR3EKAME

pith:2017:DR3EKAMEAAZBRVFOULJ6QGZ2D4

not attested not anchored not stored refs pending

Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

Anuj Karpatne, Arka Daw, Jordan Read, Vipin Kumar, William Watkins

arxiv:1710.11431 v3 · 2017-10-31 · cs.LG · cs.AI · cs.CV · physics.data-an · stat.ML

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\usepackage{pith}
\pithnumber{DR3EKAMEAAZBRVFOULJ6QGZ2D4}

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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

Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction

Receipt and verification

First computed	2026-07-05T03:17:43.202900Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1c76450184003218d4aea2d3e81b3a1f142907dbef196c0892dd449458023b12

Aliases

arxiv: 1710.11431 · arxiv_version: 1710.11431v3 · doi: 10.48550/arxiv.1710.11431 · pith_short_12: DR3EKAMEAAZB · pith_short_16: DR3EKAMEAAZBRVFO · pith_short_8: DR3EKAME

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/DR3EKAMEAAZBRVFOULJ6QGZ2D4 \
  | 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: 1c76450184003218d4aea2d3e81b3a1f142907dbef196c0892dd449458023b12

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "be820bffc6a142f6303804397f1fc5048d92061eae289befe0486980d140025f",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV",
      "physics.data-an",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-10-31T12:24:26Z",
    "title_canon_sha256": "2ee419ce61487a06a3fe4d186d930a7aa6459f267a6e312f33f3aa0137b43101"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.11431",
    "kind": "arxiv",
    "version": 3
  }
}