Pith Number
pith:XTIFEFFL
pith:2026:XTIFEFFLJHI4LU6WVETVGD5EYV
not attested
not anchored
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refs pending
A multi-task spatiotemporal deep neural network for predicting penetration depth and morphology in laser welding
arxiv:2606.26260 v1 · 2026-06-24 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XTIFEFFLJHI4LU6WVETVGD5EYV}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Receipt and verification
| First computed | 2026-06-26T00:15:31.674562Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bcd05214ab49d1c5d3d6a927530fa4c579e4494cd80b0c1d6c191e93563c6a8f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XTIFEFFLJHI4LU6WVETVGD5EYV \
| 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: bcd05214ab49d1c5d3d6a927530fa4c579e4494cd80b0c1d6c191e93563c6a8f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "47169b3084fa2d3937110df56259b4d4980f07d7a7bca85ddba3b73d400e1265",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-06-24T18:02:53Z",
"title_canon_sha256": "0d4ad73b1e18296713c62dd365517f2038082e04add2f5b392b2fb3738079813"
},
"schema_version": "1.0",
"source": {
"id": "2606.26260",
"kind": "arxiv",
"version": 1
}
}