Pith Number
pith:3ULWNI5O
pith:2019:3ULWNI5OV5KCPOSZXKSTI42NLY
not attested
not anchored
not stored
refs pending
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data
arxiv:1910.13257 v1 · 2019-10-27 · physics.plasm-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3ULWNI5OV5KCPOSZXKSTI42NLY}
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
· sign in to
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.
Receipt and verification
| First computed | 2026-07-05T00:15:42.966302Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dd1766a3aeaf5427ba59baa534734d5e0b8dadf0dcb0aa8ee08964d0731af72f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3ULWNI5OV5KCPOSZXKSTI42NLY \
| 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: dd1766a3aeaf5427ba59baa534734d5e0b8dadf0dcb0aa8ee08964d0731af72f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af8448d0e82998f7897d1880a2e27f90b57d9b9ace1343658cbf080bf9331d9f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.plasm-ph",
"submitted_at": "2019-10-27T11:37:24Z",
"title_canon_sha256": "e21c1665fc277b1e1e4e6303f23c79bce6beecff42666411252eba60e3254ae7"
},
"schema_version": "1.0",
"source": {
"id": "1910.13257",
"kind": "arxiv",
"version": 1
}
}