Pith Number
pith:DVOQ2GWN
pith:2024:DVOQ2GWNBLVMAO3UVVLWYNRV2B
not attested
not anchored
not stored
refs pending
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
arxiv:2407.13838 v1 · 2024-07-18 · cs.LG · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DVOQ2GWNBLVMAO3UVVLWYNRV2B}
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 | 2026-07-05T08:46:08.920341Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d5d0d1acd0aeac03b74ad576c3635d06b05d85488fc7ee4d1f4e95d762ef59a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DVOQ2GWNBLVMAO3UVVLWYNRV2B \
| 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: 1d5d0d1acd0aeac03b74ad576c3635d06b05d85488fc7ee4d1f4e95d762ef59a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "61141dc3d13f2c79fee45bb895449da44594c6f67afcf802e3d7b0db528179d8",
"cross_cats_sorted": [
"cs.CE"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-18T18:14:47Z",
"title_canon_sha256": "8ea5c0ad2bd8a36446d5a0708d566b9b7e4a5a2ea6c8d63ec082b66b44a5ef1d"
},
"schema_version": "1.0",
"source": {
"id": "2407.13838",
"kind": "arxiv",
"version": 1
}
}