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Pith Number

pith:2J2PHJQU

pith:2018:2J2PHJQUV23XIU2C6DVQT2A3M5
not attested not anchored not stored refs pending

A machine learning approach to thermal conductivity modeling: A case study on irradiated uranium-molybdenum nuclear fuels

Alexander Hagen, Douglas Burkes, Elizabeth Kautz, Jesse Johns

arxiv:1901.00722 v1 · 2018-11-30 · cond-mat.mtrl-sci · physics.comp-ph

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2J2PHJQUV23XIU2C6DVQT2A3M5}

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.
Receipt and verification
First computed 2026-05-17T23:57:01.529858Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d274f3a614aeb7745342f0eb09e81b676945dd16ce847da1c31cac38ce3cdb56

Aliases

arxiv: 1901.00722 · arxiv_version: 1901.00722v1 · doi: 10.48550/arxiv.1901.00722 · pith_short_12: 2J2PHJQUV23X · pith_short_16: 2J2PHJQUV23XIU2C · pith_short_8: 2J2PHJQU
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2J2PHJQUV23XIU2C6DVQT2A3M5 \
  | 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: d274f3a614aeb7745342f0eb09e81b676945dd16ce847da1c31cac38ce3cdb56
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4a81800faedd1e35211d8c78991bdb1e91e95e190700ba498407828c7a9d5f4c",
    "cross_cats_sorted": [
      "physics.comp-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cond-mat.mtrl-sci",
    "submitted_at": "2018-11-30T20:15:19Z",
    "title_canon_sha256": "42b6600d8bb67c0f25e91cb15c1de92e16b3b7508996e423b9e9e66de060eaf2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1901.00722",
    "kind": "arxiv",
    "version": 1
  }
}