Pith Number
pith:66FZ4IUC
pith:2024:66FZ4IUCJGWCCBEQ2C6WKYXISD
not attested
not anchored
not stored
refs pending
Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivity
arxiv:2411.18259 v1 · 2024-11-27 · cs.LG · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{66FZ4IUCJGWCCBEQ2C6WKYXISD}
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
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4
Citations
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Replications
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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 | 2026-07-05T09:41:13.963249Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f78b9e228249ac210490d0bd6562e890d11fa25dce2809725ca31487a01226de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/66FZ4IUCJGWCCBEQ2C6WKYXISD \
| 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: f78b9e228249ac210490d0bd6562e890d11fa25dce2809725ca31487a01226de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "734a7194dad12aa7ad731fc5fabe403e55e908cadbf361a4d1a716032dc6becb",
"cross_cats_sorted": [
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-27T11:57:58Z",
"title_canon_sha256": "0d581e5dbed2e233f0fe2f4d88515b7459953478d03a0fb12167acd028d4f9fc"
},
"schema_version": "1.0",
"source": {
"id": "2411.18259",
"kind": "arxiv",
"version": 1
}
}