Pith Number
pith:H5ZKP2FS
pith:2025:H5ZKP2FSV32ROZ5D4P77JEU5EH
not attested
not anchored
not stored
refs pending
Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning
arxiv:2502.15582 v3 · 2025-02-21 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H5ZKP2FSV32ROZ5D4P77JEU5EH}
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
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claim
4
Citations
5
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:44:45.496246Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3f72a7e8b2aef51767a3e3fff4929d21deba87c070529b49b02eb9c09d88f5a8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H5ZKP2FSV32ROZ5D4P77JEU5EH \
| 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: 3f72a7e8b2aef51767a3e3fff4929d21deba87c070529b49b02eb9c09d88f5a8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2f37d5fce6a2961ef13e6899f87ad1859ee21a17251567d866c45075d08a74f9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2025-02-21T16:45:05Z",
"title_canon_sha256": "25be5c111899a0c04890e52e7bb52149efc710967771c356f579dd39ea57294d"
},
"schema_version": "1.0",
"source": {
"id": "2502.15582",
"kind": "arxiv",
"version": 3
}
}