Pith Number
pith:LURBKTXW
pith:2023:LURBKTXW7G5VWXS34J2ADO7TIK
not attested
not anchored
not stored
refs pending
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion
arxiv:2311.16168 v1 · 2023-11-15 · cs.LG · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LURBKTXW7G5VWXS34J2ADO7TIK}
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
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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 | 2026-07-05T07:17:37.354124Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5d22154ef6f9bb5b5e5be27401bbf34280b5eeb2af9584e6878db7ed27c92296
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LURBKTXW7G5VWXS34J2ADO7TIK \
| 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: 5d22154ef6f9bb5b5e5be27401bbf34280b5eeb2af9584e6878db7ed27c92296
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8aa49bd77fc893e13f7b91fce520ea553701c386fa7237be0f016bb44b254fc7",
"cross_cats_sorted": [
"cond-mat.mtrl-sci"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-15T19:37:20Z",
"title_canon_sha256": "08345463ca6e8073d2a292e10c057c889ef154b084fd848998b81aba22530572"
},
"schema_version": "1.0",
"source": {
"id": "2311.16168",
"kind": "arxiv",
"version": 1
}
}